PHYSICAL REVIEW D 100, 032007 (2019) Search for electroweak diboson production in association with a high-mass dijet pffiffi system in semileptonic final states in pp collisions at s = 13 TeV with the ATLAS detector G. Aad et al.* (ATLAS Collaboration) (Received 21 May 2019; published 22 August 2019) This paper reports on a search for electroweak diboson (WW=WZ=ZZ) production in association with a high-mass dijet system, using data from proton-proton collisions at a center-of-mass energy of pffiffiffi s ¼ 13 TeV. The data, corresponding to an integrated luminosity of 35.5 fb−1 , were recorded with the ATLAS detector in 2015 and 2016 at the Large Hadron Collider. The search is performed in final states in which one boson decays leptonically, and the other boson decays hadronically. The hadronically decaying W=Z boson is reconstructed as either two small-radius jets or one large-radius jet using jet substructure techniques. The electroweak production of WW=WZ=ZZ in association with two jets is measured with an observed (expected) significance of 2.7 (2.5) standard deviations, and the fiducial cross section is measured to be 45.1  8.6ðstat:Þþ15.9 −14.6 ðsyst:Þ fb. DOI: 10.1103/PhysRevD.100.032007 I. INTRODUCTION VVjj (V ¼ W, Z, γ), with a large separation in rapidity of jets and a large dijet invariant mass. Multiple processes can Vector-boson scattering (VBS) is a key process for produce the same final state of two bosons and two jets. probing the non-Abelian gauge structure of the electroweak The production of VVjj at tree level has an EW contri- (EW) sector of the Standard Model (SM), since it involves bution involving only electroweak-interaction vertices, and both the self-couplings of the vector bosons and their a strong contribution (QCD induced) involving two strong- coupling with the Higgs boson. In the absence of the SM interaction vertices. The EW production is further divided Higgs boson, the amplitudes for VBS would increase as a into two components. The first component is EW VBS function of partonic center-of-mass energy and ultimately production with actual scattering of the two electroweak violate unitarity [1,2]. The discovery of a Higgs boson in bosons. The scattering occurs via quartic gauge vertices, 2012 at the LHC [3,4], with measured properties [5–8] or triple gauge vertices involving the s- or t-channel consistent with those of the SM Higgs boson, represents a exchange of a Higgs boson or a W=Z boson. The second major milestone in the understanding of electroweak component is EW non-VBS production that has electro- symmetry breaking. The study of the VBS process provides weak vertices only, but where the two bosons do not scatter. an important check of the SM by testing whether the Higgs The EW non-VBS component cannot be separated from the mechanism is the sole source of electroweak symmetry EW VBS component in a gauge invariant way [13] and breaking. Theories of new phenomena beyond the SM contributes significantly to the total cross section. It is that alter the quartic gauge couplings [9,10], or include therefore included in the signal generation. Representative the presence of additional resonances [11,12], predict Feynman diagrams at tree level are shown in Fig. 1. Both enhancements of VBS at high transverse momentum of the ATLAS and CMS Collaborations have searched for the vector bosons and at high invariant mass of the diboson experimental evidence of VBS. So far, electroweak VVjj system. production is only observed in the same-sign W  W  jj The experimental signature of VBS is characterized by channel [14] and WZjj channel [15] in the fully leptonic the presence of a pair of vector bosons and two forward jets, final statespffiffiffiusing data collected at a center-of-mass energy of s ¼ 13 TeV. Evidence of electroweak VVjj production is also obtained in the W  W  jj [16–18] pffiffiffi * Full author list given at the end of the article. and Zγjj [19] channels using pp collisions at s ¼ 8 TeV. Limits on fiducial cross sections of electroweak Published by the American Physical Society under the terms of VVjj production are reported for the WZjj [20,21], ZZjj the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to [22], Zγjj [23] and Wγjj [24] channels. Constraints on the author(s) and the published article’s title, journal citation, anomalous quartic gauge couplings are reported in and DOI. Funded by SCOAP3. Refs. [16–19,21,23–27]. 2470-0010=2019=100(3)=032007(36) 032007-1 © 2019 CERN, for the ATLAS Collaboration G. AAD et al. PHYS. REV. D 100, 032007 (2019) (a) (b) (c) FIG. 1. Representative Feynman diagrams for (a) EW VVjj production via VBS, (b) EW VVjj production via non-VBS contribution, and (c) QCD VVjj production. Reference [26] reports a study similar to the one in this final states, each using resolved or merged V → qq paper, albeit focused on EW production of pVVjj in the reconstruction techniques. ffiffiffi WV → lνqq channel only and performed at s ¼ 8 TeV. In order to extract the signal and to measure the cross This paper presents a study of the EW production of VVjj section for the EW production of VVjj in a fiducial (V ¼ W, Z) with the vector-boson pair decaying semi- volume, multivariate discriminants, which combine observ- leptonically. A larger data sample is used and additional ables sensitive to the kinematics of the VBS process, are diboson signal processes with similar final states are used to separate EW-induced VVjj production from QCD- included. induced VVjj production. Three VV semileptonic decay channels are explored: a Z This analysis measures the cross section of EW VVjj boson decaying into a pair of neutrinos, Z → νν1; a W production in a region of kinematic phase space close to the boson decaying into a charged lepton (an electron or muon, acceptance of the detector. Fiducial cross sections are denoted by l) and a neutrino, W → lν; and a Z boson measured in the 0-, 1- and 2-lepton channels, where lepton decaying into a pair of light charged leptons, Z → ll. In all refers to e and μ. Final states with V decaying into one or cases, the other vector boson V is required to decay into a more τ-leptons (both leptonically and hadronically pair of quarks, V → qq, leading to ZV → ννqq, WV → decaying τ-leptons) are included as signal, but the con- lνqq and ZV → llqq final states. These processes overlap tribution of V from top quark decay is not considered as in the fiducial region of the measurement because of the signal. geometrical acceptance of the detector for leptons and jets. The decay channels are selected as 0-, 1- and 2-lepton final II. ATLAS DETECTOR states, where the 1-lepton (2-lepton) final state receives The ATLAS experiment is described in Ref. [28]. only contribution from WV →lνqq (ZV →llqq) proc- ATLAS is a multipurpose detector with a forward-back- esses, and the 0-lepton final state receives about equal ward symmetric cylindrical geometry and a solid-angle2 contributions from WV → lνqq and ZV → ννqq coverage of nearly 4π. The inner tracking detector (ID), processes. covering the region jηj < 2.5, consists of a silicon pixel Two different reconstruction techniques for the V → qq detector, a silicon microstrip detector and a straw-tube decay are considered: resolved and merged. The resolved transition-radiation tracker. The inner detector is sur- reconstruction attempts to identify two separate small- rounded by a thin superconducting solenoid providing radius jets (small-R jet denoted by j) of hadrons from a 2 T magnetic field, and by a finely segmented lead/ the V → qq decay, while the merged reconstruction uses jet liquid-argon (LAr) electromagnetic calorimeter covering substructure techniques to identify the V → qq decay the region jηj < 3.2. A steel/scintillator-tile hadronic calo- reconstructed as a large-radius jet (large-R jet denoted rimeter provides coverage in the central region jηj < 1.7. by J). The latter applies when the momentum transfer in VVjj production is high, and as a consequence the qq pair 2 from the V boson decay is collimated. In this case, hadrons The ATLAS experiment uses a right-handed coordinate system with its origin at the nominal interaction point (IP) in from the two quarks overlap in the detector and are more the center of the detector and the z axis along the axis of the beam efficiently reconstructed as a single large-R jet. In total, six pipe. The x axis points from the IP to the center of the LHC ring, final states are included in this study: 0-, 1- and 2-lepton and the y axis points upwards. Cylindrical coordinates ðr; ϕÞ are used in the transverse plane, ϕ being the azimuthal angle around the z axis. The pseudorapidity is defined in terms of the polar 1 To simplify the notation, antiparticles are not explicitly angle θ as η ¼p −ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi ln tanðθ=2Þ. Angular ffi distance is measured in labeled in this paper. units of ΔR ≡ ðΔηÞ2 þ ðΔϕÞ2 . 032007-2 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) The end cap and forward regions are instrumented with constant. Both the VBS amplitudes and non-VBS ampli- LAr calorimeters for both EM and hadronic energy tudes of the VVjj process with one boson decaying measurements up to jηj ¼ 4.9. A muon spectrometer hadronically and the other leptonically were included, (MS) system incorporating large superconducting toroidal using factorized on-shell decays for the gauge bosons. air-core magnets surrounds the calorimeters. Three layers The NNPDF30LO [31] PDF set was used. The parton of precision wire chambers provide muon tracking in the showers and hadronization were modeled with PYTHIA range jηj < 2.7, while dedicated fast chambers are used 8.186 [32] using the A14 set of tuned parameters (tune) for for triggering in the region jηj < 2.4. The trigger system is the underlying event [33]. composed of two stages [29]. The first stage, implemented The main background sources are Z and W bosons with custom hardware, uses information from calorimeters produced in association with jets (Z þ jets and W þ jets), and muon chambers to reduce the event rate to a maximum as well as significant contributions from top quark pro- of 100 kHz. The second stage, called the high-level duction (both tt̄ pair and single-top) and QCD-induced trigger, reduces the data acquisition rate to about 1 kHz vector-boson pair production. The Z þ jets and W þ jets on average. The high-level trigger is software-based and events were simulated using the SHERPA 2.2.1 [34] event runs reconstruction algorithms similar to those used in the generator. Matrix elements were calculated for up to two offline reconstruction. partons at NLO and up to four partons at LO using the COMIX [35] and OPENLOOPS [36] programs. QCD-induced III. DATA AND MONTE CARLO SIMULATION diboson processes with one of the bosons decaying A. Data hadronically and the other leptonically were simulated using SHERPA 2.2.1. They were simulated for up to one The data were collected with the ATLAS detector in 2015 additional parton at NLO and up to three additional partons and pffiffiffi 2016 from pp collisions at a center-of-mass energy of at LO using the COMIX and OPENLOOPS programs. There is s ¼ 13 TeV, corresponding to a total integrated luminos- no overlap between the QCD-induced diboson samples and ity of 35.5 fb−1 . the EW VVjj signal samples, as the former include The recorded 2-lepton channel and 1-lepton channel diagrams of Oðα4EW α2S Þ. For Z þ jets, W þ jets and diboson events were selected with a mixture of either multiple simulation, the matrix-element calculations were merged single-electron or single-muon triggers with varying trans- with the SHERPA parton shower using the ME þ PS@NLO verse energy ET (electron) and transverse momentum pT prescription [37]. The NNPDF30NNLO [38] PDF set was (muon) thresholds, and quality and isolation requirements, used in conjunction with a dedicated parton-shower tuning that depended on the LHC running conditions. The lowest developed by the SHERPA authors. For the Z þ jets and W þ ET or pT requirement without trigger prescaling was jets samples, boson decays into all lepton flavors (e, μ, τ) are 26 GeV for both the electrons and muons. Events for included. For the generation of top quark pairs, the POWHEG- the 0-lepton channel were recorded with nonprescaled BOX V2 [39–41] event generator with the CT10 [42] PDF set missing transverse momentum (Emiss T ) triggers where the miss in the matrix-element calculations was used. Electroweak t- ET threshold depended on the LHC running conditions. channel, s-channel and Wt-channel single-top-quark events The lowest threshold used is 110 GeV. The Emiss T triggers were generated using the POWHEG-BOX V1 event generator used are fully efficient for events passing the selection [43–45]. This event generator uses the four-flavor scheme described below. The Emiss T triggers are also used in the for the NLO matrix-element calculations together with the 1-lepton channel to compensate for single-muon trigger fixed four-flavor PDF set CT10f4 [42]. For all top quark inefficiency due to the difference in acceptance between the processes, top quark spin correlations are preserved (for the muon tracking and triggering. t-channel, top quark decay is simulated using MADSPIN Events in this analysis have all detector systems operat- [46]). The parton showers, fragmentation, and underlying ing normally. Collision vertices are formed fromP tracks with event were simulated using PYTHIA 6.428 [47] with the pT > 400 MeV, and the one with the highest p2T of its CTEQ6L1 [48] PDF set and the corresponding Perugia 2012 associated tracks is selected as the primary vertex. tune (P2012) [49]. The top quark mass was set to 172.5 GeV. The EVTGEN V1.2.0 program [50] was used to simulate the B. Signal and background simulation decay of bottom and charm hadrons for the POWHEG-BOX Monte Carlo (MC) simulation is used to model signal samples. and background processes. The simulated samples are used All simulated processes are normalized using the cur- to optimize the event selection, to develop the multivariate rently available state-of-the-art theoretical predictions for discriminant, and to estimate the irreducible background their cross sections. Cross sections are calculated with up to yields. next-to-next-to-leading-order (NNLO) QCD corrections The EW VVjj signal samples were generated using for Z þ jets and W þ jets production [51]. Cross sections MADGRAPH5_AMC@NLO 2.4.3 [30] with amplitudes of for diboson production are calculated at NLO including LO Oðα6EW α0S Þ, where αEW (αS ) is the EW (strong) coupling contributions with two additional partons [34,52]. The tt̄ 032007-3 G. AAD et al. PHYS. REV. D 100, 032007 (2019) production cross section is calculated at NNLO in QCD, [64,65] but with different values of the radius parameter including resummation of next-to-next-to-leading logarith- R. Small-R jets and large-R jets are reconstructed inde- mic (NNLL) soft-gluon terms [53,54]. The single-top pendently from the same energy depositions for a given production cross sections are calculated to NLO in QCD event. The treatment of the resulting overlap is discussed [55], including the soft-gluon resummation at NNLL [56] further below. for the Wt process. Small-R jets are reconstructed with a radius parameter MC events were processed with a detailed detector of R ¼ 0.4. Energy- and η-dependent correction factors simulation [57] based on GEANT4 [58]. Additional inelastic derived from MC simulations are applied to correct simulated pp collisions generated with PYTHIA 8.186 using jets back to the particle level [66]. Pileup effects are the A2 set of tuned parameters [59] and the MSTW2008LO corrected using a jet area method [67,68]. Jets are required [60] PDF set were overlaid in order to model both the in- to have pT > 20 GeV for jηj < 2.5 and pT > 30 GeV for and out-of-time effects from additional pp collisions in the 2.5 < jηj < 4.5. A jet vertex tagger [67] is applied to jets same and neighboring bunch crossings (pileup). MC with pT < 60 GeV and jηj < 2.4 in order to select only jets samples are reweighted to match the pileup conditions in from the hard interaction which are associated with the the data. All simulated events are processed using the same primary vertex, and to suppress jets from pileup inter- reconstruction algorithms as the data. actions. This tagger uses information about tracks asso- ciated with the primary vertex and pileup vertices. IV. OBJECT RECONSTRUCTION Small-R jets containing b-hadrons are identified using a Electrons are identified as isolated energy clusters in the multivariate algorithm (b-tagging) [69] which uses infor- electromagnetic calorimeter matched to ID tracks, and are mation such as track impact-parameter significance and the required to have transverse energy ET > 7 GeV and position of explicitly reconstructed secondary decay ver- pseudorapidity jηj < 2.47. A likelihood-based requirement tices. The chosen b-tagging algorithm has an efficiency of [61] is imposed to reduce the background from nonprompt 70% for b-quark jets in simulated tt̄ events, with a light- electrons or hadrons misidentified as electrons. Electrons flavor jet rejection factor of about 380 and a c-jet rejection are classified as either “loose,” “medium” or “tight” factor of about 12 [70]. according to the likelihood-based identification criteria Large-R jets are reconstructed with the radius parameter described in Ref. [61]. increased to R ¼ 1.0. In order to mitigate the effects of Muons are reconstructed by a combined fit to the ID and pileup and soft radiation, the large-R jets are trimmed [71]. MS tracks, and are required to have pT > 7 GeV and Trimming takes the original constituents of the jet and jηj < 2.5. Muons must pass identification requirements, reclusters them using the kt algorithm [72] with a smaller based on the number of hits in the ID and MS subsystems, radius parameter, Rsubjet , to produce a collection of subjets. and the significance of the difference jq=pMS − q=pID j These subjets are discarded if they carry less than a specific [62], where q is the charge and pMS ðpID Þ is the momentum fraction (f cut ) of the original jet pT . The trimming param- of the muon measured in the MS (ID). Similarly to eters were optimized for W=Z boson tagging and are electrons, muons are classified as either loose, medium Rsubjet ¼ 0.2 and f cut ¼ 5%. The large-R jet four-momenta or tight, following the criteria in Ref. [62]. are recomputed from the remaining subjets, and the jet All electrons and muons are required to be isolated by energies are calibrated to particle level using correction using selections based on the sum of the pT of tracks factors derived from MC simulations [73]. The mass of a (excluding the track associated with the lepton) in a cone of large-R jet (mJ ) is computed using a combination of pT -dependent size around their directions. The isolation calorimeter and tracking information [74]. Large-R jets selection criteria are designed to maintain a constant are required to have pT > 200 GeV and jηj < 2.0. efficiency of 99% in the pT -η plane for reconstructed Track jets have a radius parameter of R ¼ 0.2 [75]. leptons from Z → ll decays. Furthermore, leptons are Inner-detector tracks originating from the primary vertex, required to have associated tracks satisfying jd0 =σ d0 j < with pT >0.5GeV and selected by impact parameter 5ð3Þ and jz0 × sin θj < 0.5 mm for electrons (muons), requirements, are used in the track jet reconstruction. where d0 is the transverse impact parameter relative to Track jets are required to satisfy pT >20GeV and the beam line, σ d0 is its uncertainty, and z0 is the distance jηj<2.5. The number of track jets is an input to the between the longitudinal position of the track along the multivariate discriminant described later. beam line at the point where d0 is measured and the An overlap-removal procedure is applied to the selected longitudinal position of the primary vertex. leptons and jets in order to prevent double-counting. The jet Three types of jets are employed in the analysis. Two of is removed if an electron and a small-R jet are separated by them are reconstructed from three-dimensional topological ΔR < 0.2; the electron is removed if the separation satisfies clusters of energy deposits in the calorimeter [63] (small-R 0.2 < ΔR < 0.4. The jet is removed if a muon and a jets and large-R jets), and the third type from inner-detector small-R jet are separated by ΔR < 0.2 and if the jet has less tracks (track jets). All three use the anti-kt algorithm than three tracks or the energy and momentum differences 032007-4 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) between the muon and the jet are small; otherwise the (V → J) in a merged selection, and those jets are referred muon is removed if the separation satisfies ΔR < 0.4. In to as V had jets. Event selection criteria are chosen to order to prevent double-counting of energy from an guarantee the statistical independence of the channels and electron inside a large-R jet, the large-R jet is removed to maximize the sensitivity of the analysis. This selection if an electron and a large-R jet are separated by ΔR < 1.0. results in nine nonoverlapping distinct signal regions No overlap removal is applied between large-R jets or track (SR): one for each of the three lepton channels and three jets and small-R jets. types of V had selections (resolved, and low- and high- Boson tagging is applied to large-R jets in order to select purity merged). those consistent with V → qq decays. A pT -dependent The event selection for all channels and background requirement is applied to the jet substructure variable estimations is summarized in Table I. Further details are ðβ¼1Þ given below. D2 , which is defined as a ratio of two-point to three-point energy correlation functions [76,77] that are based on the energies and pairwise angular separations of A. Event selection the particles within a jet. This variable is optimized to Signal events in the 0-lepton channel are typical of a distinguish between jets originating from a single parton hadronically decaying V boson recoiling against a large and those coming from the two-body decay of a heavy amount of missing transverse momentum stemming from particle. A detailed description of the method and its either a Z → νν decay or a W → lν decay, where the optimization can be found in Ref. [78]. Large-R jets from lepton is outside the acceptance of the detector. An V → qq decays are required to have a jet mass mJ in a pT - initial selection is made by requiring Emiss T > 200 GeV, dependent window centered around the expected value of and rejecting events with electrons or muons passing the boson mass. The configuration of the boson tagging the loose quality requirements. The multijet background algorithm is called a working point, which is designed to originates primarily from the presence of mismeasured provide constant efficiency independent of the large-R jet jets and noncollision phenomena. It is suppressed pT for the signals studied. Two working points are used, using a requirement on the value of the track-based one with 50% efficiency and the other one with 80% missing transverse momentum, pmiss T > 50 GeV. Three efficiency, with corresponding misidentification rates for further angular selection criteria are: the azimuthal jets from multijet production of ∼2% and ∼10%, separation between the E ⃗ miss T and ⃗pmiss directions T respectively. ⃗ satisfies ΔϕðET ; ⃗pT Þ < π=2; the azimuthal separation miss miss The missing transverse momentum vector, E ⃗ miss T , is between the directions of E ⃗ miss T and the nearest small-R calculated as the negative vectorial sum of the transverse momenta of calibrated electrons, muons, and small-R jets jet satisfies min½ΔϕðE ⃗ miss T ; small-R jetÞ > π=6; and the where the calibration already includes corrections for azimuthal separation between the directions of E ⃗ miss T and pileup. Large-R jets and track jets are not included in the reconstructed hadronically decaying candidate V had the E ⃗ miss T calculation in order to avoid double-counting of satisfies ΔϕðE ⃗ miss T ; V had Þ > π=9. The multijet background energy between the small-R jets and large-R jets. Energy is found to be negligible after these selections. depositions due to the underlying event and other types of The 1-lepton channel is typical of a leptonically soft radiation are taken into account by constructing a “soft decaying W boson. The W → lν candidates are selected term” from ID tracks that are associated with the primary by requiring one isolated lepton (electron or muon) vertex but not used in any reconstructed object [79]. The satisfying the tight criteria with pT > 27 GeV. Events track-based missing transverse momentum vector, ⃗pmiss T , is are required to have Emiss T > 80 GeV, and must not the negative vectorial sum of the transverse momenta of all have any additional loose leptons. In order to reconstruct good-quality inner-detector tracks that are associated with the invariant mass of the WV system, needed later to the primary vertex. construct the multivariate discriminant, the neutrino momentum four-vector is reconstructed by imposing a W boson mass constraint on the lepton–neutrino system. V. EVENT SELECTION AND BACKGROIUND The neutrino transverse momentum components are set ESTIMATION equal to the missing transverse momentum of the Events are categorized into the 0-, 1- and 2-lepton event and the unknown z-component of the momentum channels depending on the number of selected electrons (pz ) is obtained from the resulting quadratic equation. and muons. In addition to a leptonically decaying candi- The pz is chosen as either the smaller, in absolute value, date V lep , events in all three channels are required to of the two real solutions or, if the solution is complex, its contain a hadronically decaying candidate V had , and two real part. additional small-R jets (referred to as tagging-jets). The In the 2-lepton channel, the Z → ll candidates are V had candidate is reconstructed as either two small-R jets identified by requiring two isolated same-flavor leptons (V → jj) in a resolved selection, or one large-R jet satisfying the loose criteria. The leading (subleading) 032007-5 G. AAD et al. PHYS. REV. D 100, 032007 (2019) TABLE I. Summary of the event selection in the 0-, 1- and 2-lepton channels. Selection 0-lepton 1-lepton 2-lepton Trigger Emiss T triggers Single-electron triggers Single-lepton triggers single-muon or Emiss T triggers Leptons 0 loose leptons 1 tight lepton with pT > 27 GeV 2 loose leptons with pT > 20 GeV with pT > 7 GeV 0 loose leptons with pT > 7 GeV ≥ 1 lepton with pT > 28 GeV Emiss T >200 GeV >80 GeV  mll   83 < mee < 99 GeV ð−0.0117 × pμμT þ 85.63 GeVÞ < mμμ < ð0.0185 × pμμT þ 94 GeVÞ Small-R jets pT > 20 GeV if jηj < 2.5, and pT > 30 GeV if 2.5 < jηj < 4.5 Large-R jets pT > 200 GeV, jηj < 2 V had → J V boson tagging, minðjmJ − mW j; jmJ − mZ jÞ V had → jj 64 < mjj < 106 GeV, jj pair with minðjmjj − mW j; jmjj − mZ jÞ, leading jet with pT > 40 GeV Tagging-jets j ∉ V had , not b-tagged, ΔRðJ; jÞ > 1.4 ηtag;j1 · ηtag;j2 < 0, mtag jj > 400 GeV, pT > 30 GeV Num. of b-jets  0  Multijet removal pmiss T > 50 GeV   ΔϕðE⃗ miss T ; ⃗pT Þ < π=2 miss ⃗ min½ΔϕðET ; small-R jetÞ > π=6 miss ΔϕðE ⃗ miss T ; V had Þ > π=9 lepton must satisfy pT > 28ð20Þ GeV. Opposite charges point requirement. The former is called the high-purity are required for the muon pairs but not for the electron (HP) signal region, and the latter the low-purity (LP) pairs, since electrons are more susceptible to charge signal region. Given the different but overlappping W and misidentification due to the conversion of photons from Z boson tagging requirements, large-R jets are required bremsstrahlung, especially at high pT . The dilepton invari- to satisfy either W or Z boson tagging. If multiple V had ant mass is required to be consistent with that of the Z candidates are selected, the one minimizing minðjmJ − boson: 83 < mee < 99 GeV in the case of electrons and mW j; jmJ − mZ jÞ is selected. ð−0.0117 × pμμ T þ 85.63 GeVÞ < mμμ < ð0.0185 × pT þ μμ The resolved selection events are required to have two 94 GeVÞ in the case of muons. The pT -dependent require- small-R signal jets with a dijet invariant mass lying in ment on mμμ recovers the selection efficiency at high pμμ the mW=Z window: 64 < mjj < 106 GeV. If multiple T , which would otherwise fall due to the degraded dimuon V had candidates are selected, the one minimizing invariant mass resolution [80]. minðjmjj − mW j; jmjj − mZ jÞ is used. At least one of The merged selection is applied as the first step in the jets forming the selected V had candidate must have identifying a V had candidate. If an event is not selected, then pT > 40 GeV, in order to improve the separation the resolved selection is used. The order is motivated by a between the signal and the background; otherwise the smaller background expectation in the merged analysis. event is not selected. Selecting the jets that form a V had candidate first and then After selecting the V had candidate, tagging-jets are selecting the tagging-jets from the pool of remaining jets selected from the remaining small-R jets that fail the b- results in an analysis with a higher sensitivity compared tagging described in Sec. IV. For the merged selection, all with doing the selection in the reverse order. The V had small-R jets with ΔRðJ; jÞ < 1.4 are excluded before the candidates are selected in three different nonoverlapping tagging-jets selection. Tagging-jets are required to be in opposite hemispheres, ηtag;j1 · ηtag;j2 < 0, and the invariant channels. Merged selection events are required to have at least mass of the two tagging-jets must satisfy mtag jj > 400 GeV. If one large-R jet. Next the boson tagging discussed in there is more than one pair of jets satisfying these require- Sec. IV is applied to select the V → qq decays. Two SRs ments, the one with the highest mtag jj value is chosen. In order are defined, one for events passing the 50% working to suppress the contribution from pileup interactions, both point of the boson tagging requirement and the other for tagging-jets from the selected pair must have pT > 30 GeV; events failing the 50%, but passing the 80% working otherwise the event is rejected. 032007-6 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) Finally, 1-lepton channel events are rejected if any of the misidentified as leptons or real but nonprompt leptons small-R jets in the event is identified as a b-jet prior to from decays of heavy-flavor hadrons. This contribution is the V had candidate and tagging-jets selection. This reduces negligible in all regions, except for the resolved 1-lepton the contributions from top quark production. SR. The fake-factor background method of Ref. [81] is used to estimate the multijet background contribution in the B. Data control regions and background estimation resolved topology of the 1-lepton channel. The estimated The dominant backgrounds for the 1-lepton channel are multijet contribution is about 10% of the total background W þ jets and tt̄ production; for the 2-lepton channel it is in the resolved 1-lepton SR. Z þ jets production; while in the 0-lepton channel, they all The mtag jj spectra of simulated W þ jets (Z þ jets) events contribute significantly. Smaller background contributions are not well modeled by the MC simulation in the WCRs for the 1-lepton channel arise from multijet background. (ZCRs) for the three V had selections in the 1-lepton (2- Single-top and QCD-induced diboson production is a small lepton) channel. A data-driven procedure is applied to the background for all three lepton channels. The background simulated W þ jets and Z þ jets events to correct for this contributions are estimated using a combination of MC and shape mismodeling. Reweighting factors are derived from data-driven techniques. The shapes of kinematic variable WCRs and ZCRs as a function of mtag jj , and applied to all distributions are taken from MC simulations in all cases SRs and CRs (for 0-, 1-, and 2-lepton regions) in the MC except for the multijet background in the 1-lepton channel. simulation of W þ jets and Z þ jets events, respectively. A Z þ jets control region (ZCR) is defined for each of The non-W þ jetsðZ þ jetsÞ contributions are subtracted the three SRs in the 2-lepton channel by reversing the mJ or from the spectra in data. Then the reweighting factors as a mjj requirement. Events in each of the CRs are selected in function of mtag jj are determined by performing a linear fit to exactly the same way as those in their corresponding the ratios of data to simulation in the control regions. SRs except for the requirement on mJ or mjj. For the The reweighting is done separately for the merged and merged selection, the leading large-R jet mass is required resolved analyses. For W þ jets, the reweighting factor to be outside the large-R jet mass window of the 80% ranges from 1.016 (1.024) at mtag jj ¼ 400 GeV to 0.47 (0.53) working point of the W=Z boson tagging. For the resolved tag selection, a requirement of 50 < mjj < 64 GeV or mjj > at mjj ¼ 3000 GeV in the resolved (merged) analysis. For 106 GeV is applied. These CRs are dominated by the Z þ jets, the reweighting factor ranges from 1.071 (1.062) Z þ jets contribution, with a purity higher than 95% in at mtag tag jj ¼ 400 GeV to 0.42 (0.36) at mjj ¼ 3000 GeV in all regions. They are therefore used to constrain its the resolved (merged) analysis. contribution in signal regions through simultaneous fits Additional reweighting factors are needed for the as discussed in Sec. X. MC simulation of W þ jets and Z þ jets events in the Three W þ jets control regions (WCRs) are formed from 0-lepton channel because the phase space is so different events satisfying the 1-lepton signal region selection except between the 0-lepton selection and the 1- and 2-lepton for the invariant mass requirement of the V had candidate, selections that the reweightings described above are not similar to the ZCRs. Approximately 86% and 77% of the applicable. These additional reweightings are derived selected events are from W þ jets production in the merged from MC simulation as the ratio of the numbers of W þ and resolved categories of the 1-lepton channel, respec- jets (Z þ jets) events in the 1-lepton (2-lepton) and tively. The remaining events are primarily from tt̄ 0-lepton channels, and are applied to the MC simulation production. of W þ jets (Z þ jets) events in the 0-lepton channel. The three tt̄ control regions (TopCRs) consist of events Good agreement between the prediction from MC satisfying the signal region selection of the 1-lepton simulation and the data in the VjjCR is achieved only channel except for the b-jet requirement, which is inverted. after the two reweightings have been applied. Unless These CRs are dominated by tt̄ production, with a purity of stated otherwise, the final reweighted W þ jets and Z þ 79% and 59% for merged and resolved categories respec- jets simulated events are used everywhere in the analysis. tively, and the remainder are from single-top, V þ jets or diboson production, for both the merged and the resolved VI. MULTIVARIATE ANALYSIS event topologies. In the 0-lepton channel, it is not possible to define pure A multivariate method is used to enhance the separation control regions for W þ jets, Z þ jets and tt̄ processes, thus between the signal and background. The analysis uses the events falling into the mass sideband regions of the V had , Toolkit for Multivariate Data Analysis, TMVA [82], and its similar to WCRs and ZCRs, form three different CRs implementation of the boosted decision trees (BDTs) (referred to as VjjCR), one for each of the correspond- method. BDTs are constructed, trained and evaluated in ing SRs. each lepton channel and analysis region separately. The The contribution from multijet production primarily BDT training is carried out using simulated signal and consists of events with jets or photon conversions all background MC samples. However, the events in 032007-7 G. AAD et al. PHYS. REV. D 100, 032007 (2019) TABLE II. Variables used for the BDT discriminant in the TABLE III. Variables used for the BDT discriminant in the merged analysis category of each lepton channel. resolved analysis category of each lepton channel analysis. Variable 0-lepton 1-lepton 2-lepton Variable 0-lepton 1-lepton 2-lepton mtag ✓  ✓ mtag jj ✓  ✓ jj Δηtag   ✓ Δηtag jj   ✓ jj tag;j2 pT ✓ ✓ ✓ ptag;j T 1 ✓ ✓  mJ ✓   ptag;j T 2 ✓ ✓ ✓ ðβ¼1Þ D2 ✓  ✓ Δηjj ✓ ✓ ✓ Emiss ✓   pjT1 ✓   T ΔϕðE ⃗ miss ✓   pjT2 ✓ ✓ ✓ T ; JÞ ηl  ✓  w j1 ✓ ✓ ✓ nj;track ✓   w j2 ✓ ✓ ✓ ζV  ✓ ✓ njtracks 1  ✓ ✓ mVV   ✓ njtracks 2  ✓ ✓ pVV T   ✓ wtag;j1 ✓ ✓ ✓ mVVjj  ✓  wtag;j2 ✓ ✓ ✓ pVVjj T   ✓ ntag;j1  ✓ ✓ tracks wtag;j1 ✓    ✓ ✓ ntag;j2 tracks wtag;j2 ✓   nj;track ✓  ✓ nj;extr ✓   Emiss T ✓   high-purity SR and low-purity SR are merged together for ηl  ✓  the BDT training due to an insufficient number of MC ΔRðl; νÞ  ✓  events. In order to make use of the complete set of ζV  ✓ ✓ simulated MC events for the BDT training and evaluation mVV   ✓ in an unbiased way, the MC events are split for training and mVVjj  ✓  validation into two subsamples of equal size following the procedure in Ref. [83]. The output distributions of the BDTs trained on the two subsamples are averaged for both the simulated and data events. is also used, and it is defined as ζ V ¼ minðΔη− ; Δηþ Þ, The input variables used for the BDTs are chosen in where Δη− ¼ min½ηðV had Þ; ηðV lep Þ − min½ηtag;j1 ; ηtag;j2  and order to maximize the separation between signal and Δηþ ¼ max½ηtag;j1 ; ηtag;j2  − max½ηðV had Þ;ηðV lep Þ. The vari- background, and are summarized in Tables II and III, for able ζ V has large values when the tagging-jets have a large the merged and resolved category, respectively. The dis- separation in η, and when the two boson candidates lie tributions of input variables of the BDTs are compared between the tagging-jets in η. Variables sensitive to the between data and simulation, and in general are found to be quark–gluon jet separation are also included, such as the in good agreement. The small-R jets are labeled in width of the small-R jets (w) [84], and the number of tracks decreasing pT as j1 and j2 for the jets used to reconstruct associated with the jets (ntracks ). The number of track jets, the hadronically decaying boson, and as “tag, j1” and “tag, nj;track , and the number of additional small-R jets other than j2 ” for the tagging-jets. The invariant mass and transverse the V had jets and tagging-jets, nj;extr , are also found to be momentum of the reconstructed VV (VVjj) system are useful for the BDTs. In the 1-lepton channel, the pseudor- denoted by mVV (mVVjj ) and pVV T (pVVjj T ), respectively. apidity of the lepton (ηl ) is also considered. Angular variables are also considered, such as the pseu- dorapidity gap between the tagging-jets (Δηtag jj ) and VII. FIDUCIAL CROSS-SECTION DEFINITION between the small-R V had jets (Δηjj ), the angular separation The fiducial phase space of the measurement is defined of the lepton and neutrino from the W boson decay using stable final-state particles [85]. Leptons produced in (ΔRðl; νÞ) in the 1-lepton channel, and the azimuthal the decay of a hadron or its descendants are not considered angle between the directions of E ⃗ miss T and the large-R jet in the charged lepton requirement of the fiducial phase (ΔϕðE ⃗ T ; JÞ) in the merged category of the 0-lepton miss space. The fiducial selection is summarized in Table IV and channel. A topological variable named boson centrality details are given below. 032007-8 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) TABLE IV. Fiducial phase-space definitions used for the measurement of electroweak VVjj production. Object selection Leptons pT > 7 GeV, jηj < 2.5 Small-R jets pT > 20 GeV if jηj < 2.5, and pT > 30 GeV if 2.5 < jηj < 4.5 Large-R jets pT > 200 GeV, jηj < 2.0 Event selection Leptonic V selection 0-lepton Zero leptons, pνν T > 200 GeV 1-lepton One lepton with pT > 27 GeV, pνT > 80 GeV 2-lepton Two leptons, with leading (subleading) lepton pT > 28ð20Þ GeV 83 < mll < 99 GeV Hadronic V selection Merged One large-R jet, minðjmJ − mW j; jmJ − mZ jÞ 64 < mJ < 106 GeV Resolved Two small-R jets, minðjmjj − mW j; jmjj − mZ jÞ pjT1 > 40 GeV, pjT2 > 20 GeV 64 < mjj < 106 GeV Tagging-jets Two small-R non-b jets, ηtag;j1 · ηtag;j2 < 0, highest mtag jj tag;j1;2 mtag jj > 400 GeV, p T > 30 GeV Number of b-jets 0-lepton  1-lepton 0 2-lepton  Charged leptons are required to satisfy pT > 7 GeV and VIII. SYSTEMATICAL UNCERTAINTIES jηj < 2.5. Jets are clustered from all final-state particles The sources of systematic uncertainty can be divided into except prompt leptons, prompt neutrinos, and prompt three categories: experimental uncertainties related to the photons using the anti-kt algorithm. Small-R jets are detector or to the reconstruction algorithms, uncertainties in required to have pT > 20 GeV for jηj < 2.5 and pT > the estimations of background contributions, and uncer- 30 GeV for 2.5 < jηj < 4.5. Jets within ΔR ¼ 0.2 of any tainties in modeling the signal. Unless stated otherwise, the charged lepton (as defined above) are rejected. Jets con- uncertainties quoted below are the uncertainties in the taining a b-hadron, identified using “truth” information quantities themselves, not the impact on the analysis from the MC event record, are labeled as b-jets. Large-R sensitivity. jets are required to have pT > 200 GeV and jηj < 2.0, and The uncertainty in the integrated luminosity of the the same trimming algorithm as for the reconstruction-level dataset is 2.1%. It is derived from the calibration of the ðβ¼1Þ large-R jets is applied. No D2 requirement is applied to luminosity scale using x-y beam-separation scans, follow- large-R jets. ing a methodology similar to that detailed in Ref. [86], and The selection of hadronically decaying bosons using the LUCID-2 detector for the baseline luminosity and tagging-jets follows the same steps and apply the measurements [87]. This uncertainty is applied to the same criteria as for reconstruction level, as shown in normalization of the signal and also to background con- Table IV. tributions whose normalizations are derived from MC For the 0-, 1- and 2-lepton channels, the number of simulations. In addition to the luminosity uncertainty, a selected fiducial leptons is required to be 0, 1 and 2, variation in the pileup reweighting of MC events is also respectively. Events with additional leptons for the 1- and included to cover the uncertainty in the ratio of the 2-lepton channels are vetoed. The lepton pT is required to predicted to measured inelastic cross sections in Ref. [88]. be larger than 27 GeV for the 1-lepton channel; for the The efficiencies of the lepton triggers for events with 2-lepton channel, the leading (subleading) lepton pT must selected leptons are high, nearly 100% in the electron be larger than 28 (20) GeV, and the invariant mass of the channel and approximately 96% in the muon channel. The lepton pair must lie within 83 < mll < 99 GeV. For the corresponding uncertainties are negligible. For the selec- 0-lepton channel, the transverse momentum of the neutrino tion used in the 0-lepton and 1-lepton channels, the system must satisfy pνν T > 200 GeV; and for the 1-lepton efficiency of the Emiss T trigger is also close to 100% with channel, the events are required to have pνT > 80 GeV and negligible associated uncertainty. The modeling of the contain no b-jets. electron and muon reconstruction, identification and 032007-9 G. AAD et al. PHYS. REV. D 100, 032007 (2019) isolation efficiencies is studied with a tag-and-probe 0-lepton channel only. The normalization uncertainties in method p ffiffiffi using Z → ll events in data and simulation at the diboson background cross sections are studied with s ¼ 13 TeV [61,62]. Small corrections are applied to the SHERPA. The uncertainty due to missing higher-order QCD simulation to better model the performance seen in data. contributions (QCD scale uncertainty) is estimated by These corrections have associated uncertainties of the order varying the renormalization (μR ) and factorization (μF ) of 1%. Uncertainties in the lepton energy (or momentum) scales independently by a factor ranging from one-half scale and resolution [62,89] are also taken into account. to two with the constraint 0.5 ≤ μF =μR ≤ 2. The PDF Uncertainties in the jet energy scale and resolution for uncertainty corresponds to the 68% confidence-level var- small-radius jets are estimated using MC simulation and iations of the nominal PDF set NNPDF30NNLO, as well as in situ techniques [66]. For central jets (jηj < 2.0), the total its difference from the alternative PDF sets CT10NNLO uncertainty in the jet energy scale ranges from about 6% for [92] and MMHT2014NNLO [93]. The overall normaliza- jets with pT ¼ 25 GeV to about 2% for pT ¼ 1 TeV. There tion uncertainty for the diboson background is estimated to is also an uncertainty in the jet energy resolution [66], be about 30%. For single-top-quark events, a 20% nor- which ranges from 10% to 20% for jets with a pT of malization uncertainty is assigned [94]. 20 GeV to less than 5% for jets with pT > 200 GeV. The uncertainty in the modeling of the final discrimi- Uncertainties in the lepton and jet energy scales and nants, the BDT output and mtagjj , for background processes estimated using MC simulation is assessed by comparing resolutions are propagated into the uncertainty in Emiss T . the nominal MC samples with alternative samples. Uncertainties in the energy scale and resolution of the track The uncertainties are of the order of 5%–30%. The mtag soft term are also propagated into the uncertainty in Emiss T jj [79]. For the b-tagging efficiency of small-R jets, correction reweighting as described in Sec. V B is also included as a factors are applied to the simulated event samples in order shape systematic uncertainty for Z þ jets and W þ jets events by taking the difference of their respective final to compensate for differences between data and simulation. discriminants before and after applying the reweighting. An The corrections and uncertainties in the efficiency for tagging b-jets and in the rejection factor for light jets uncertainty in the shape of the BDT or mtag jj distribution are determined from tt̄ samples [90,91]. for the tt̄ background is derived by comparing the The uncertainties in the scale of the large-R jet pT , mass POWHEG-BOX sample with the distribution obtained using ðβ¼1Þ MADGRAPH5_AMC@NLO 2.2.2. Additional systematic and D2 are of the order of 2%–5%. They are estimated uncertainties are estimated by comparing the nominal using comparisons of data and simulation in Ref. [78]. An sample showered with PYTHIA 6.428 using the P2012 tune absolute uncertainty of 2% is assigned to the large-R jet to one showered with Herwig þ þ 2.7.1 [95] and using the energy resolution, and relative uncertainties of 20% and UEEE5 underlying-event tune [96]. Samples of tt̄ events 15% are assigned to the resolution of the large-R jet mass with the factorization and renormalization scales doubled ðβ¼1Þ and D2 , respectively. or halved are compared with the nominal samples, and the The overall normalization of the main backgrounds observed differences are taken as an additional uncertainty. (W þ jets, Z þ jets and tt̄) is determined from the corre- These modeling uncertainties for the tt̄ background are sponding data control regions and is left unconstrained and 5%–30%. The shape uncertainty for diboson processes is floating in the global likelihood fit. For W þ jets (Z þ jets) obtained by comparing MC samples generated by SHERPA events in the 0-lepton channel, additional normalization and POWHEG-BOX, and it is found to be of the order of uncertainties are considered to account for the acceptance 2%–30%. The shape uncertainty for single-top-quark difference between the 0-lepton channel analysis and the events is ignored due to their relatively small contribution 1-lepton (2-lepton) channel analysis, given that there to the total background. are no corresponding pure control regions of 0-lepton The following discussion describes the uncertainties in events and the normalization is determined mainly from the predictions of EW VVjj signal processes. The uncer- control regions with 1-lepton (2-lepton) events. This addi- tainties in the signal-strength measurement, discussed in tional normalization uncertainty for W þ jets (Z þ jets) Sec. X A, include contributions from both the normaliza- events is estimated using the ratio of the event yield in tion and shape; for the fiducial cross section measurement, each signal region of the 0-lepton channel to that in the discussed in Sec. X B, only the shape uncertainties are 1-lepton (2-lepton) channel, and by comparing this ratio taken into account for the measured fiducial cross sections, obtained from the nominal MC samples generated by and the normalization uncertainties are included for the SM SHERPA with the ratio from alternative samples generated predicted fiducial cross sections. by MADGRAPH5_AMC@NLO. The normalization uncer- Theoretical uncertainties for EW VVjj signal pro- tainty is 8% (14%) for W þ jets events in the merged cesses include the PDF choice, the missing higher-order (resolved) signal region, and 22% (42%) for Z þ jets events corrections, and the parton-shower modeling. The signal in the merged (resolved) signal region. These uncertainties modeling uncertainty due to PDF uncertainties is estimated are applied to the W þ jets and Z þ jets events in the by taking the uncertainty from the PDF error sets of 032007-10 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) NNPDF23LO and adding it in quadrature to the acceptance TABLE V. The distributions used in the global likelihood fit for difference obtained using alternative PDF sets: CT10 and the signal regions and control regions for all the categories in each MMHT2014LO. The PDF uncertainties are estimated to be channel. “One bin” implies that a single bin without any shape 3%–5%. The parton-shower uncertainty, estimated by information is used in the corresponding fit region. varying relevant parameters in the A14-NNPDF tune Discriminants [33], ranges from 1% to 5%. The effect of the QCD scale uncertainty, of the order of 1%–3%, is estimated by varying Merged Merged Regions high-purity low-purity Resolved the factorization and renormalization scales independently by a factor of 2 with the constraint 0.5 ≤ μF =μR ≤ 2. 0-lepton SR BDT BDT BDT The interference between EW- and QCD-induced VVjj VjjCR mtag jj mtag jj mtag jj processes is not included in the MC simulation, since the 1-lepton SR BDT BDT BDT EW- and QCD-induced VVjj samples were generated separately. The interference effect is considered as an WCR mtag jj mtag jj mtag jj uncertainty affecting both the normalization and the shape TopCR One bin One bin One bin of the EW VVjj kinematic distributions. The effect is 2-lepton SR BDT BDT BDT determined using the MADGRAPH5_AMC@NLO 2.4.3 MC ZCR mtag jj mtag jj mtag jj generator at the truth level as a function of mtag jj . A reweighting is then applied to the simulated EW VVjj samples, resulting in shape uncertainties of 5% to 10% at low and high values of the BDT score, respectively, and a summarized in Table V. Signal and background contribu- similar size for the normalization uncertainties. tions, including their shapes in the signal and control regions, are taken from MC simulations. For each source IX. STATISTICAL ANALYSIS of systematic uncertainty, the correlations across bins of BDT distributions are taken into account and are fully The statistical analysis relies on the profile likelihood test correlated. The correlations between different regions, as statistic [97] implemented with the RooFit [98] and well as those between signal and background, are also RooStats [99] packages. A binned likelihood function included. Moreover, normalization scale factors (SFs) are Lðμ; θÞ is constructed as a product of Poisson probabilities applied to the MC estimates of the Z þ jets, W þ jets and over all of the bins of the fit templates considered in the top quark contributions. These SFs are free parameters in analysis. This function depends on the signal-strength the fit and are therefore constrained by the data in both the parameter μ, a multiplicative factor applied to the theo- signal and control regions. The diboson contribution is retical signal production cross section, and θ, a set of constrained to the theoretical estimate within the corre- nuisance parameters that encodes the effects of systematic sponding uncertainties. uncertainties in the signal and expected backgrounds. The In general, one SF is introduced for each background binning is chosen so that the expected numbers of events component, common to both the SRs and CRs. One ensure that the statistical uncertainty is less than 5% in most common Z þ jets SF is used for both the 0-lepton and bins, while finer binning is also allowed in signal-enriched 2-lepton channels, and one common W þ jets SF is used regions. The nuisance parameters are either free to float, or for both the 0-lepton and 1-lepton channels. Similarly, one constrained using Gaussian or log-normal terms defined by common tt̄ SF is used for both the 0-lepton and 1-lepton external studies. The likelihood function for the combina- channels. However, independent SFs are used for the tion of the three channels is the product of the Poisson resolved and merged categories, to take into account likelihoods of the individual channels. However, only one different MC modelings in the different phase spaces of constraint term per common nuisance parameter is included the same background component. in the product. The test statistic qμ is defined as the profile likelihood ratio [100], q ¼ −2 ln Λ with Λ ¼ Lðμ; θ̂ˆ Þ=Lðμ̂; θ̂Þ, A simultaneous maximum-likelihood fit is performed to μ μ μ μ the observed distributions of the final discriminants, BDT outputs, in the nine SRs to extract the signal rate informa- where μ̂ and θ̂ are the values of the parameters that tion. The three ZCRs, WCRs and TopCRs as well as the maximize the likelihood function (with the constraint three VjjCRs are included in the fit’s likelihood calculation; 0 ≤ μ̂ ≤ μ), and θ̂ˆ are the values of the nuisance param- μ the mtagjj distributions are used for ZCRs, WCRs and eters that maximize the likelihood function for a given VjjCRs, while for the TopCRs only one bin for each of value of μ. The best-fit signal strength μ̂ value (μobs EW VVjj ) is the three V had decay channels is used. The purpose of using obtained by maximizing the likelihood function with mtag tag jj distributions for CRs is to constrain the mjj reweight- respect to all parameters. To determine whether the ing systematic uncertainties. The different regions and the observed data is compatible with the background-only corresponding discriminants entering the likelihood fit are hypothesis, a test statistic q0 ¼ −2 ln Λ0 is used. 032007-11 G. AAD et al. PHYS. REV. D 100, 032007 (2019) 104 ATLAS Data EWVVjj (μ = 1.05) ATLAS Data EWVVjj (μ = 1.05) EWVVjj × 30 EWVVjj × 30 s = 13 TeV, 35.5 fb-1 103 s = 13 TeV, 35.5 fb-1 Z +jets Z +jets 0-lep., Merged high-purity SR W +jets 0-lep., Merged high-purity SR W +jets 103 Events / 100 GeV Top Quarks Top Quarks Events / 100 GeV Diboson Diboson Uncertainty 102 Uncertainty 102 10 10 1 Data/Postfit 1 Data/Postfit 1.5 1.5 1 E miss T [GeV] 1 mtag jj [GeV] 200 300 400 500 600 700 800 500 1000 1500 2000 2500 3000 3500 4000 0.5 0.5 1.5 1.5 Postfit/Prefit Postfit/Prefit 1 1 0.5 0.5 200 300 400 500 600 700 800 500 1000 1500 2000 2500 3000 3500 4000 E miss T [GeV] m tag jj [GeV] 104 Data Data ATLAS EWVVjj (μ = 1.05) 600 ATLAS EWVVjj (μ = 1.05) EWVVjj × 30 EWVVjj × 30 s = 13 TeV, 35.5 fb-1 s = 13 TeV, 35.5 fb-1 W +jets W +jets 103 1-lep., Merged high-purity SR Top Quarks Z +jets 500 1-lep., Merged high-purity SR Top Quarks Z +jets Events / 100 GeV Diboson Diboson Events / 0.5 Uncertainty Uncertainty 400 102 300 10 200 100 1 Data/Postfit Data/Postfit 1.5 1.5 mVVjj [GeV] ζ 1 1 V 1000 1500 2000 2500 3000 3500 4000 4500 3 2 1 0 1 2 3 4 0.5 0.5 1.5 1.5 Postfit/Prefit Postfit/Prefit 1 1 0.5 0.5 1000 1500 2000 2500 3000 3500 4000 4500 −3 −2 −1 0 1 2 3 4 m VVjj [GeV] ζ V ATLAS Data 120 ATLAS Data EWVVjj (μ = 1.05) EWVVjj (μ = 1.05) 103 EWVVjj × 30 EWVVjj × 30 s = 13 TeV, 35.5 fb-1 s = 13 TeV, 35.5 fb-1 Z +jets Z +jets 2-lep., Merged high-purity SR Diboson 100 2-lep., Merged high-purity SR Diboson Top Quarks Top Quarks 102 Uncertainty Uncertainty Events / 100 GeV 80 Events / 0.5 10 60 1 40 20 10−1 Data/Postfit Data/Postfit 1.5 2 mtag jj [GeV] ζ 1 V 1 500 1000 1500 2000 2500 3000 3500 4000 3 2 1 0 1 2 3 4 0.5 1.5 2 Postfit/Prefit Postfit/Prefit 1 1 0.5 500 1000 1500 2000 2500 3000 3500 4000 −3 −2 −1 0 1 2 3 4 m tag jj [GeV] ζ V FIG. 2. The distributions for EmissT (top left), mtag tag jj (top right), mVVjj (middle left), ζ V (middle right), mjj (bottom left), and ζ V (bottom right) in the 0-lepton (top), 1-lepton (middle) and 2-lepton (bottom) channels for the high-purity merged signal region. The background contributions after the global likelihood fit are shown as filled histograms. The signal is shown as a filled histogram on top of the fitted backgrounds normalized to the signal yield extracted from data (μ ¼ 1.05), and unstacked as an unfilled histogram, scaled by the factor indicated in the legend. The size of the combined statistical and systematic uncertainty for the sum of the fitted signal and background is indicated by the hatched band. The middle pane shows the ratios of the observed data to the postfit signal and background predictions. The bottom pane shows the ratios of the postfit and pre-fit background predictions. 032007-12 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) Data 105 Data ATLAS EWVVjj (μ = 1.05) ATLAS EWVVjj (μ = 1.05) 5 EWVVjj × 30 EWVVjj × 30 10 s = 13 TeV, 35.5 fb-1 s = 13 TeV, 35.5 fb-1 Z +jets Z +jets 0-lep., Resolved SR W +jets 0-lep., Resolved SR W +jets 104 Events / 100 GeV Top Quarks Top Quarks Events / 100 GeV Diboson Diboson 104 Uncertainty Uncertainty 103 103 102 102 10 Data/Postfit Data/Postfit 1.5 1.5 1 E miss T [GeV] 1 mtag jj [GeV] 200 300 400 500 600 700 800 500 1000 1500 2000 2500 3000 3500 4000 0.5 0.5 1.5 1.5 Postfit/Prefit Postfit/Prefit 1 1 0.5 0.5 200 300 400 500 600 700 800 500 1000 1500 2000 2500 3000 3500 4000 E miss T [GeV] m tag jj [GeV] 108 Data Data ATLAS EWVVjj (μ = 1.05) ATLAS EWVVjj (μ = 1.05) s = 13 TeV, 35.5 fb-1 EWVVjj × 30 107 s = 13 TeV, 35.5 fb-1 EWVVjj × 30 W +jets W +jets 104 1-lep., Resolved SR Mis-id. lepton 106 1-lep., Resolved SR Mis-id. lepton Top Quarks Top Quarks Events / 10 GeV Events / 100 GeV Z +jets Z +jets Diboson 5 Diboson Uncertainty 10 Uncertainty 103 104 103 102 102 10 Data/Postfit Data/Postfit 1.5 1.5 j 1 mVVjj [GeV] 1 p 2 [GeV] T 1000 1500 2000 2500 3000 3500 4000 4500 20 40 60 80 100 120 140 160 180 200 0.5 0.5 1.5 1.5 Postfit/Prefit Postfit/Prefit 1 1 0.5 0.5 1000 1500 2000 2500 3000 3500 4000 4500 20 40 60 80 100 120 140 160 180 200 j m VVjj [GeV] p 2 [GeV] T Data 108 Data 105 ATLAS EWVVjj (μ = 1.05) ATLAS EWVVjj (μ = 1.05) s = 13 TeV, 35.5 fb-1 EWVVjj × 30 107 s = 13 TeV, 35.5 fb-1 EWVVjj × 30 Z +jets Z +jets 2-lep., Resolved SR Diboson 106 2-lep., Resolved SR Diboson 104 Top Quarks Top Quarks Events / 100 GeV Events / 10 GeV W +jets W +jets Uncertainty 105 Uncertainty 104 103 103 102 102 10 1 10 10−1 Data/Postfit Data/Postfit 1.5 1.5 j 1 mtag jj [GeV] 1 p 2 [GeV] T 500 1000 1500 2000 2500 3000 3500 4000 20 40 60 80 100 120 140 160 180 200 0.5 0.5 1.5 1.5 Postfit/Prefit Postfit/Prefit 1 1 0.5 0.5 500 1000 1500 2000 2500 3000 3500 4000 20 40 60 80 100 120 140 160 180 200 j m tag jj [GeV] p 2 [GeV] T FIG. 3. The distributions for Emiss T (top left), mtag j2 tag j2 jj (top right), mVVjj (middle left), pT (middle right), mjj (bottom left), and pT (bottom right) in the 0-lepton (top), 1-lepton (middle) and 2-lepton (bottom) channels for the resolved signal region. The background contributions after the global likelihood fit are shown as filled histograms. The signal is shown as a filled histogram on top of the fitted backgrounds normalized to the signal yield extracted from data (μ ¼ 1.05), and unstacked as an unfilled histogram, scaled by the factor indicated in the legend. The size of the combined statistical and systematic uncertainty for the sum of the fitted signal and background is indicated by the hatched band. The middle pane shows the ratios of the observed data to the postfit signal and background predictions. The bottom pane shows the ratios of the postfit and prefit background predictions. 032007-13 G. AAD et al. PHYS. REV. D 100, 032007 (2019) 104 Data Data ATLAS EWVVjj (μ = 1.05) ATLAS EWVVjj (μ = 1.05) -1 EWVVjj × 30 103 -1 EWVVjj × 30 s = 13 TeV, 35.5 fb s = 13 TeV, 35.5 fb Z +jets Z +jets 103 0-lep., Merged high-purity SR W +jets 0-lep., Merged low-purity SR W +jets Top Quarks Top Quarks Diboson Diboson Events / 0.1 Events / 0.1 Uncertainty Uncertainty 102 102 10 1 Data/Postfit Data/Postfit 1.5 1.5 1 BDT 1 BDT 1 08 06 04 02 0 02 04 06 08 1 08 06 04 02 0 02 04 06 08 0.5 0.5 1.5 1.5 Postfit/Prefit Postfit/Prefit 1 1 0.5 0.5 −1 −0.8 −0.6 − 0.4 −0.2 0 0.2 0.4 0.6 0.8 −1 −0.8 − 0.6 −0.4 − 0.2 0 0.2 0.4 0.6 0.8 BDT BDT (a) (b) Data 105 ATLAS EWVVjj (μ = 1.05) EWVVjj × 30 s = 13 TeV, 35.5 fb-1 Z +jets 0-lep., Resolved SR W +jets Top Quarks 104 Diboson Events / 0.1 Uncertainty 103 102 Data/Postfit 1.5 1 BDT 1 08 06 04 02 0 02 04 0.5 1.5 Postfit/Prefit 1 0.5 −1 −0.8 − 0.6 −0.4 −0.2 0 0.2 0.4 BDT (c) FIG. 4. Comparisons of the observed data and expected distributions of the BDT outputs of the 0-lepton channel signal regions: (a) high-purity and (b) low-purity merged signal regions; (c) the resolved signal region. The background contributions after the global likelihood fit are shown as filled histograms. The signal is shown as a filled histogram on top of the fitted backgrounds normalized to the signal yield extracted from data (μ ¼ 1.05), and unstacked as an unfilled histogram, scaled by the factor indicated in the legend. The entries in overflow are included in the last bin. The middle pane shows the ratios of the observed data to the postfit signal and background predictions. The uncertainty in the total prediction, shown as bands, combines statistical and systematic contributions. The bottom pane shows the ratios of the postfit and prefit background predictions. X. RESULTS contributions shown are obtained from the signal-plus- background fits described previously. A. Results for the EW VVjj production processes The observed distributions of the BDT outputs in SRs Figures 2 and 3 show a selection of representative postfit used in the global likelihood fit are compared with distributions of input variables that are most discriminating the predictions, shown in Fig. 4 for the 0-lepton channel, for each of the lepton channels, for the merged and resolved Fig. 5 for the 1-lepton channel, and Fig. 6 for the 2-lepton categories, respectively. Background and EW VVjj signal channel. The data distributions are reasonably well 032007-14 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) 104 Data 104 Data ATLAS EWVVjj (μ = 1.05) ATLAS EWVVjj (μ = 1.05) -1 EWVVjj × 30 -1 EWVVjj × 30 s = 13 TeV, 35.5 fb s = 13 TeV, 35.5 fb W +jets W +jets 1-lep., Merged high-purity SR Top Quarks 1-lep., Merged low-purity SR Top Quarks Z +jets Z +jets 103 Diboson Diboson Events / 0.1 Events / 0.1 Uncertainty Uncertainty 103 102 102 10 Data/Postfit Data/Postfit 1.5 1.5 1 BDT 1 BDT 1 08 06 04 02 0 02 04 1 08 06 04 02 0 02 04 0.5 0.5 1.5 1.5 Postfit/Prefit Postfit/Prefit 1 1 0.5 0.5 −1 −0.8 −0.6 −0.4 − 0.2 0 0.2 0.4 −1 − 0.8 −0.6 −0.4 − 0.2 0 0.2 0.4 BDT BDT (a) (b) Data ATLAS EWVVjj (μ = 1.05) 106 s = 13 TeV, 35.5 fb-1 EWVVjj × 30 W +jets 1-lep., Resolved SR Mis-id. lepton Top Quarks 5 Z +jets 10 Events / 0.1 Diboson Uncertainty 104 103 102 Data/Postfit 1.5 1 BDT 1 08 06 04 02 0 02 04 06 0.5 1.5 Postfit/Prefit 1 0.5 −1 −0.8 − 0.6 −0.4 −0.2 0 0.2 0.4 0.6 BDT (c) FIG. 5. Comparisons of the observed data and expected distributions of the BDT outputs of the 1-lepton channel signal regions: (a) high-purity and (b) low-purity merged signal regions; (c) the resolved signal region. The background contributions after the global likelihood fit are shown as filled histograms. The signal is shown as a filled histogram on top of the fitted backgrounds normalized to the signal yield extracted from data (μ ¼ 1.05), and unstacked as an unfilled histogram, scaled by the factor indicated in the legend. The entries in overflow are included in the last bin. The middle pane shows the ratios of the observed data to the postfit signal and background predictions. The uncertainty in the total prediction, shown as bands, combines statistical and systematic contributions. The bottom pane shows the ratios of the postfit and prefit background predictions. reproduced by the predicted contributions in all cases, with for the 1-lepton channel, and Table VIII for the 2-lepton the smallest p-value of 0.16 from the χ 2 test [101] being for channel. The fitted value of the signal strength is the mtag jj distribution in the merged high-purity ZCR. The numbers of events observed and estimated in the SRs are þ0.42 þ0.37 summarized in Table VI for the 0-lepton channel, Table VII μobs EW VVjj ¼ 1.05−0.40 ¼ 1.05  0.20ðstat:Þ−0.34 ðsyst:Þ: 032007-15 G. AAD et al. PHYS. REV. D 100, 032007 (2019) Data Data 103 ATLAS EWVVjj (μ = 1.05) ATLAS EWVVjj (μ = 1.05) s = 13 TeV, 35.5 fb-1 EWVVjj × 30 103 s = 13 TeV, 35.5 fb-1 EWVVjj × 30 Z +jets Z +jets 2-lep., Merged high-purity SR Diboson 2-lep., Merged low-purity SR Diboson Top Quarks Top Quarks 2 Uncertainty W +jets Events / 0.1 10 Events / 0.1 102 Uncertainty 10 10 1 1 Data/Postfit Data/Postfit 1.5 1.5 1 BDT 1 BDT 1 08 06 04 02 0 02 04 06 08 1 08 06 04 02 0 02 04 06 08 0.5 0.5 1.5 1.5 Postfit/Prefit Postfit/Prefit 1 1 0.5 0.5 −1 −0.8 −0.6 − 0.4 −0.2 0 0.2 0.4 0.6 0.8 −1 −0.8 − 0.6 −0.4 −0.2 0 0.2 0.4 0.6 0.8 BDT BDT (a) (b) Data ATLAS EWVVjj (μ = 1.05) 5 -1 EWVVjj × 30 10 s = 13 TeV, 35.5 fb Z +jets 2-lep., Resolved SR Diboson Top Quarks W +jets Events / 0.1 104 Uncertainty 103 102 10 Data/Postfit 1.5 1 BDT 04 02 0 02 04 06 08 0.5 1.5 Postfit/Prefit 1 0.5 −0.4 −0.2 0 0.2 0.4 0.6 0.8 BDT (c) FIG. 6. Comparisons of the observed data and expected distributions of the BDT outputs of the 2-lepton channel signal regions: (a) high-purity and (b) low-purity merged signal regions; (c) the resolved signal region. The background contributions after the global likelihood fit are shown as filled histograms. The signal is shown as a filled histogram on top of the fitted backgrounds normalized to the signal yield extracted from data (μ ¼ 1.05), and unstacked as an unfilled histogram, scaled by the factor indicated in the legend. The entries in overflow are included in the last bin. The middle pane shows the ratios of the observed data to the postfit signal and background predictions. The uncertainty in the total prediction, shown as bands, combines statistical and systematic contributions. The bottom pane shows the ratios of the postfit and prefit background predictions. The background-only hypothesis is excluded in data with a signal-strength parameter. The probability that the signal significance of 2.7 standard deviations, compared with 2.5 strengths measured in the three lepton channels are com- standard deviations expected. patible is 36%. Figure 7 shows the measured signal strength from After the global maximum-likelihood fit, the uncertain- the combined fit with a single signal-strength fit parameter, ties described in Sec. VIII are much reduced. The effects of and from a fit where each lepton channel has its own systematic uncertainties on the measurement after the fit are 032007-16 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) TABLE VI. Numbers of events observed and predicted for signal and background processes in the 0-lepton channel signal regions, obtained from signal-plus-background fits to the signal and control regions (Sec. X). The signal yields are calculated after the fit with the observed signal strength of 1.05 applied. The uncertainties combine statistical and systematic contributions. The fit constrains the background estimate towards the observed data, which reduces the total background uncertainty by correlating those uncertainties from the individual backgrounds. Sample Resolved Merged HP Merged LP Background W þ jets 9200  1300 259  27 582  56 Z þ jets 19 000  1400 383  29 955  69 Top quarks 3280  480 277  28 276  32 Diboson 720  120 69  12 68  14 Total 32 100  2000 988  50 1881  96 Signal WðlνÞWðqq0 Þ 56  22 8.0  3.2 5.4  2.2 WðlνÞZðqqÞ 12.0  4.7 2.1  0.8 1.6  0.6 ZðννÞWðqq0 Þ 66  25 9.0  3.5 7.4  2.9 ZðννÞZðqqÞ 27  10 5.1  2.0 3.1  1.2 Total 161  35 24.3  5.2 17.5  3.9 SM 32 300  2000 1012  50 1898  96 Data 32 299 1002 1935 TABLE VII. Numbers of events observed and predicted for signal and background processes in the 1-lepton channel signal regions, obtained from signal-plus-background fits to the signal and control regions (Sec. X). The signal yields are calculated after the fit with the observed signal strength of 1.05 applied. The uncertainties combine statistical and systematic contributions. The fit constrains the background estimate towards the observed data, which reduces the total background uncertainty by correlating those uncertainties from the individual backgrounds. Sample Resolved Merged HP Merged LP Background W þ jets 69 100  1900 1201  65 2828  97 Z þ jets 2770  370 39  3 83  6 Top quarks 7100  1100 394  56 422  63 Diboson 2660  600 163  35 229  57 Multijet 13 400  1600   Total 95 100  2800 1797  93 3560  130 Signal WðlνÞWðqq0 Þ 330  120 45  17 34  13 WðlνÞZðqqÞ 78  29 11  4 52 Total 410  130 57  18 39  13 SM 95 500  2800 1854  95 3600  130 Data 95 366 1864 3571 TABLE VIII. Numbers of events observed and predicted for signal and background processes in the 2-lepton channel signal regions, obtained from signal-plus-background fits to the signal and control regions (Sec. X). The signal yields are calculated after the fit with the observed signal strength of 1.05 applied. The uncertainties combine statistical and systematic contributions. The fit constrains the background estimate towards the observed data, which reduces the total background uncertainty by correlating those uncertainties from the individual backgrounds. Sample Resolved Merged HP Merged LP Background Z þ jets 37 090  310 331  14 775  24 Top quarks 645  99 5.8  0.9 9.9  2.7 Diboson 830  170 34.6  7.6 36.7  8.2 Total 38 570  370 371  16 821  25 Signal ZðllÞWðqq0 Þ 138  53 8.6  3.3 7.0  2.7 ZðllÞZðqqÞ 46  18 4.3  1.7 2.9  1.1 Total 185  56 12.9  3.7 9.8  2.9 SM 38 760  370 384  17 831  25 Data 38 734 371 810 032007-17 G. AAD et al. PHYS. REV. D 100, 032007 (2019) ATLAS s=13 TeV, 35.5 fb-1, Observed TABLE X. Summary of predicted and measured fiducial cross sections for EW VVjj production. The three lepton channels are Tot. Tot. ( Stat. Syst. ) combined. For the measured fiducial cross sections in the merged Stat. 2-lepton 1.97 +− 0.83 0.77 ( ± 0.50 + 0.65 ) − 0.59 and resolved categories, two signal-strength parameters are used in the combined fit, one for the merged category and the other one for the resolved category; while for the measured fiducial cross 1-lepton 0.33 +− 0.53 0.52 ( ± 0.25 + 0.47 ) − 0.46 section in the inclusive fiducial phase space, a single signal- strength parameter is used. For the SM predicted cross section, the error is the theoretical uncertainty (theo.). For the measured 0-lepton 2.47 +− 1.33 1.22 ( ± 0.80 + 1.05 ) − 0.93 cross section, the first error is the statistical uncertainty (stat.), and the second error is the systematic uncertainty (syst.). Combination 1.05 +− 0.42 0.40 ( ± 0.20 + 0.37 ) − 0.34 Fiducial Predicted phase space σ fid;SM EW VVjj [fb] Measured σ fid;obs EW VVjj [fb] 0 2 4 6 8 10 Best fit μ=σ/ σ Merged 11.4  0.7 (theo.) þ4.8 12.7  3.8ðstat:Þ−4.2 ðsyst:Þ SM Resolved 31.6  1.8 (theo.) þ17.4 26.5  8.2ðstat:Þ−17.1 ðsyst:Þ FIG. 7. The fitted values of the signal-strength parameter Inclusive 43.0  2.4 (theo.) 45.1  8.6ðstat:Þþ15.9 −14.6 ðsyst:Þ μobs EW VVjj for the 0-, 1- and 2-lepton channels and their combi- nation. The individual μobs EW VVjj values for the lepton channels are obtained from a simultaneous fit with the signal-strength param- detailed in Sec. VIII are combined into categories. Apart eter for each of the lepton channels floating independently. The from the statistics of the data, the uncertainties with the probability that the signal strengths measured in the three lepton channels are compatible is 36%. largest impact on the sensitivity of EW VVjj production are from the modeling of background (Z þ jets, W þ jets and QCD-induced diboson processes), the modeling of studied using the signal-strength parameter μobs the signal, b-tagging, and reconstruction of small-R and EW VVjj. The large-R jets. relative uncertainties in the best-fit μobs EW VVjj value from the leading sources of systematic uncertainty are shown in Table IX. The individual sources of systematic uncertainty B. Cross-section measurements The determination of the fiducial cross section is performed by scaling the measured signal strengths with TABLE IX. The symmetrized uncertainty σ μ from each source the corresponding SM predicted fiducial cross sections, in the best-fit signal-strength parameter μobs EW VVjj. The floating σ fid;obs EW VVjj ¼ μEW VVjj · σ EW VVjj . It is assumed that there is obs fid;SM normalizations include uncertainties of normalization scale fac- no new physics that could cause sizable kinematic mod- tors for Z þ jets, W þ jets and top quark contributions. ifications of the background and signal. Therefore, the only Uncertainty source σμ new physics signals that can be detected in an unbiased way are those leading to an enhanced EW VVjj signal strength Total uncertainty 0.41 in the search region of this analysis. The fiducial cross Statistical 0.20 sections for EW VVjj are measured in the merged and Systematic 0.35 resolved fiducial phase-space regions described in Sec. VII Theoretical and modeling uncertainties and inclusively. The merged HP SR and LP SR are Floating normalizations 0.09 combined to form one single merged fiducial phase-space Z þ jets 0.13 W þ jets 0.09 region. The systematic uncertainties of the measured tt̄ 0.06 fiducial cross sections include contributions from exper- Diboson 0.09 imental systematic uncertainties, theory modeling uncer- Multijet 0.04 tainties in the backgrounds, theory modeling uncertainties Signal 0.07 in the shapes of signal kinematic distributions, and lumi- MC statistics 0.17 nosity uncertainties. The measured and SM predicted Experimental uncertainties fiducial cross sections for EW VVjj processes are sum- Large-R jets 0.08 marized in Table X, where the measured values are Small-R jets 0.06 obtained from two different simultaneous fits. In the first Leptons 0.02 fit, two signal-strength parameters are used, one for the Emiss T 0.04 merged category (both HP and LP), and the other one for b-tagging 0.07 the resolved category; while in the second fit, a single Pileup 0.04 signal-strength parameter is used. The measured and SM Luminosity 0.03 predicted fiducial cross sections in each lepton channel are 032007-18 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) TABLE XI. Summary of predicted and measured fiducial cross sections for EW VVjj production in the three lepton channels. The measured values are obtained from a simultaneous fit where each lepton channel has its own signal-strength parameter, and in each lepton channel the same signal-strength parameter is applied to both the merged and resolved categories. For the SM predicted cross section, the error is the theoretical uncertainty (theo.). For the measured cross section, the first error is the statistical uncertainty (stat.), and the second error is the systematic uncertainty (syst.). Fiducial phase space Predicted σ fid;SM EW VVjj [fb] Measured σ fid;obs EW VVjj [fb] Merged 0-lepton 4.1  0.3 (theo.) 10.1  3.3ðstat:Þþ4.2 −3.8 ðsyst:Þ 1-lepton 6.1  0.5 (theo.) 2.0  1.5ðstat:Þþ2.9 −2.8 ðsyst:Þ 2-lepton 1.2  0.1 (theo.) 2.4  0.6ðstat:Þþ0.8 −0.7 ðsyst:Þ Resolved 0-lepton 9.2  0.6 (theo.) 22.8  7.4ðstat:Þþ9.4 −8.5 ðsyst:Þ 16.4  1.0 (theo.) þ7.7 1-lepton 5.5  4.1ðstat:Þ−7.5 ðsyst:Þ 2-lepton 6.0  0.4 (theo.) 11.8  3.0ðstat:Þþ3.8 −3.5 ðsyst:Þ Inclusive 0-lepton 13.3  0.8 (theo.) 32.9  10.7ðstat:Þþ13.5 −12.3 ðsyst:Þ 1-lepton 22.5  1.5 (theo.) þ10.5 7.5  5.6ðstat:Þ−10.2 ðsyst:Þ 2-lepton 7.2  0.4 (theo.) 14.2  3.6ðstat:Þþ4.6 −4.2 ðsyst:Þ also reported in Table XI. The measured values are institutions without whom ATLAS could not be obtained from a simultaneous fit where each lepton channel operated efficiently. We acknowledge the support of has its own signal-strength parameter, and in each lepton ANPCyT, Argentina; Yerevan Physics Institute (YerPhI), channel the same signal-strength parameter is applied to Armenia; ARC, Australia; BMWFW and FWF, Austria; both the merged and resolved categories. The predictions Azerbaijan National Academy of Sciences (ANAS), are from MADGRAPH5_AMC@NLO 2.4.3 at LO only, and no Azerbaijan; State Science and Technology Committee higher order corrections are included; the theoretical (SSTC), Belarus; CNPq and FAPESP, Brazil; NSERC, uncertainties due to the PDF, missing higher-order correc- NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, tions, and parton-shower modeling are estimated as MOST and NSFC, China; COLCIENCIAS, Colombia; described in Sec. VIII. The measured fiducial cross sections MSMT CR, MPO CR and Committee for Collaboration are generally consistent with the SM predictions. of the Czech Republic with CERN (VSC CR), Czech Republic; DNRF and Danish Natural Science Research XI. CONCLUSION Council (DNSRC), Denmark; IN2P3-CNRS, CEA-DRF/ IRFU, France; Shota Rustaveli National Science A measurement pofffiffiffi VVjj (V ¼ W, Z) electroweak Foundation of Georgia (SRNSFG), Georgia; BMBF, production using s ¼ 13 TeV pp collisions at the HGF, and MPG, Germany; GSRT, Greece; RGC, Hong LHC is presented. The data were collected with the Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, ATLAS detector in 2015 and 2016 and correspond to a Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, total integrated luminosity of 35.5 fb−1 . The study explores Netherlands; Research Council of Norway (RCN), the final states with one boson decaying leptonically, and Norway; MNiSW and NCN, Poland; FCT, Portugal; the other boson decaying into a pair of quarks, identified Ministry of National Education, Institute of Atomic either as two separate jets or as one large-radius jet. Physics (MNE/IFA), Romania; Ministry of Education The VVjj electroweak production cross section is and Science of the Russian Federation (MES) of Russia measured with a significance of 2.7 standard deviations and National Research Centre Kurchatov Institute, Russian over the background-only hypothesis. The expected sig- Federation; JINR; Ministry of Education, Science and nificance is 2.5 standard deviations. The measured Technological Development (MESTD), Serbia; Ministry signal strength relative to the leading-order SM prediction of Education, Science, Research and Sport (MSSR), þ0.37 is μobs EW VVjj ¼ 1.05  0.20ðstat:Þ−0.34 ðsyst:Þ. The fiducial Slovakia; ARRS and MIZŠ, Slovenia; DST/NRF, South cross section of VVjj electroweak production is measured Africa; MINECO, Spain; Swedish Research Council þ15.9 to be σ fid;obs EW VVjj ¼ 45.1  8.6ðstat:Þ−14.6 ðsyst:Þ fb. (SRC) and Wallenberg Foundation, Sweden; Secretariat for Education and Research (SERI), SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, ACKNOWLEDGMENTS Turkey; STFC, United Kingdom; DOE and NSF, United We thank CERN for the very successful operation of States of America. In addition, individual groups and the LHC, as well as the support staff from our members have received support from BCKDF, 032007-19 G. AAD et al. PHYS. REV. D 100, 032007 (2019) CANARIE, CRC and Compute Canada, Canada; COST, computing support from all WLCG partners is acknowl- ERC, ERDF, Horizon 2020, and Marie Skłodowska-Curie edged gratefully, in particular from CERN, the ATLAS Actions, European Union; Investissements d’ Avenir Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Labex and Idex, ANR, France; DFG and AvH Norway, Sweden), CC-IN2P3 (France), KIT/GridKA Foundation, Germany; Herakleitos, Thales and Aristeia (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), programmes co-financed by EU-ESF and the Greek PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL NSRF, Greece; BSF-NSF and GIF, Israel; CERCA (USA), the Tier-2 facilities worldwide and large non- Programme Generalitat de Catalunya, Spain; The Royal WLCG resource providers. Major contributors of computing Society and Leverhulme Trust, United Kingdom. The crucial resources are listed in Ref. [102]. [1] B. W. Lee, C. Quigg, and H. B. Thacker, Strength of Weak [14] CMS Collaboration, Observation of Electroweak Produc- Interactions at Very High Energies and the Higgs Boson tion of Same-Sign W Boson Pairs in the Two Jet and Two Mass, Phys. Rev. Lett. 38, 883 (1977). Same-Sign Lepton Final State in Proton-Proton Collisions [2] B. W. Lee, C. Quigg, and H. B. Thacker, Weak interactions at 13 TeV, Phys. Rev. Lett. 120, 081801 (2018). at very high energies: The role of the Higgs-boson mass, [15] ATLAS Collaboration, Observation of electroweak W  Z Phys. Rev. D 16, 1519 (1977). boson pair production pffiffiffi in association with two jets in pp [3] ATLAS Collaboration, Observation of a new particle in the collisions at s ¼ 13 TeV with the ATLAS detector, search for the standard model Higgs boson with the Phys. Lett. B 793, 469 (2019). ATLAS detector at the LHC, Phys. Lett. B 716, 1 (2012). [16] ATLAS Collaboration, Evidence for p Electroweak ffiffiffi Produc- [4] CMS Collaboration, Observation of a new boson at a mass tion of W  W  jj in pp Collisions at s ¼ 8 TeV with the of 125 GeV with the CMS experiment at the LHC, Phys. ATLAS Detector, Phys. Rev. Lett. 113, 141803 (2014). Lett. B 716, 30 (2012). [17] ATLAS Collaboration, Measurements of electroweak Wjj [5] ATLAS Collaboration, Measurements of the Higgs boson production and constraints on anomalous gauge couplings production and decay rates and coupling strengths using with the ATLAS detector, Eur. Phys. J. C 77, 474 (2017). pffiffiffi pp collision data at s ¼ 7 and 8 TeV in the ATLAS [18] CMS Collaboration, Study of Vector Boson Scattering and experiment, Eur. Phys. J. C 76, 6 (2016). Search for New Physics in Events with Two Same-Sign [6] ATLAS Collaboration, Study of the spin and parity of the Leptons and Two Jets, Phys. Rev. Lett. 114, 051801 Higgs boson in diboson decays with the ATLAS detector, (2015). Eur. Phys. J. C 75, 476 (2015); Erratum 76, 152 (2016). [19] CMS Collaboration, Measurement of the cross section for [7] CMS Collaboration, Precise determination of the mass of electroweak production of Zγ in association with two jets the Higgs boson and tests of compatibility of its couplings and constraints on anomalous pffiffiquartic ffi gauge couplings in with the standard model predictions using proton collisions proton-proton collisions at s ¼ 8 TeV, Phys. Lett. B at 7 and 8 TeV, Eur. Phys. J. C 75, 212 (2015). 770, 380 (2017). [8] CMS Collaboration, Constraints on the spin-parity and [20] CMS Collaboration, Measurement of electroweak WZ anomalous HVV couplings of the Higgs boson in proton boson production and search for new pffiffiffi physics in WZþ collisions at 7 and 8 TeV, Phys. Rev. D 92, 012004 (2015). two jets events in pp collisions at s ¼ 13 TeV, Phys. [9] O. J. P. Eboli, M. C. Gonzalez-Garcia, and S. M. Lietti, Lett. B 795, 281 (2019). [21] ATLAS Collaboration, Measurements  Bosonic quartic couplings at CERN LHC, Phys. Rev. D pffiffiffiof W Z production 69, 095005 (2004). cross sections in pp collisions at s ¼ 8 TeV with the [10] O. J. P. Eboli, M. C. Gonzalez-Garcia, and J. K. ATLAS detector and limits on anomalous gauge boson Mizukoshi, pp → jje μ νν and jje μ∓ νν at Oðα6em Þ self-couplings, Phys. Rev. D 93, 092004 (2016). and Oðα4em α2s Þ for the study of the quartic electroweak [22] CMS Collaboration, Measurement of vector boson scatter- gauge boson vertex at CERN LHC, Phys. Rev. D 74, ing and constraints on anomalous quartic couplings 073005 (2006). from events with four pffiffiffi leptons and two jets in proton- [11] J. Chang, K. Cheung, C.-T. Lu, and T.-C. Yuan, WW proton collisions at s ¼ 13 TeV, Phys. Lett. B 774, 682 scattering in the era of post-Higgs-boson discovery, Phys. (2017). [23] ATLAS Collaboration, Studies of Zγ production in asso- Rev. D 87, 093005 (2013). [12] D. Espriu and B. Yencho, Longitudinal WW scattering in ciation pffiffiffi with a high-mass dijet system in pp collisions at light of the Higgs boson discovery, Phys. Rev. D 87, s ¼ 8 TeV with the ATLAS detector, J. High Energy 055017 (2013). Phys. 07 (2017) 107. [13] V. D. Barger, K. Cheung, T. Han, and R. J. N. Phillips, [24] CMS Collaboration, Measurement of electroweak-induced pffiffiffi production of Wγ with two jets in pp collisions at s ¼ Strong W þ W þ scattering signals at pp supercolliders, 8 TeV and constraints on anomalous quartic gauge cou- Phys. Rev. D 42, 3052 (1990). plings, J. High Energy Phys. 06 (2017) 106. 032007-20 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) [25] CMS Collaboration, Evidence for exclusive γγ → W þ W − [44] R. Frederix, E. Re, and P. Torrielli, Single-top t-channel production and constraints on anomalous quartic gauge hadroproduction in the four-flavour scheme with POW- pffiffiffi couplings in pp collisions at s ¼ 7 and 8 TeV, J. High HEG and aMC@NLO, J. High Energy Phys. 09 (2012) Energy Phys. 08 (2016) 119. 130. [26] ATLAS Collaboration, Search for anomalous electroweak [45] E. Re, Single-top Wt-channel production matched with production of WW=WZ in association with a high-mass parton showers using the POWHEG method, Eur. Phys. J. pffiffiffi dijet system in pp collisions at s ¼ 8 TeV with the C 71, 1547 (2011). ATLAS detector, Phys. Rev. D 95, 032001 (2017). [46] P. Artoisenet, R. Frederix, O. Mattelaer, and R. Rietkerk, [27] CMS Collaboration, Search for anomalous electroweak Automatic spin-entangled decays of heavy resonances production of vector boson pairs in association with two in Monte Carlo simulations, J. High Energy Phys. 03 jets in proton-proton collisions at 13 TeV, arXiv:1905.07445. (2013) 015. [28] ATLAS Collaboration, The ATLAS experiment at the [47] T. Sjöstrand, S. Mrenna, and P. Z. Skands, PYTHIA 6.4 CERN large hadron collider, J. Instrum. 3, S08003 (2008). physics and manual, J. High Energy Phys. 05 (2006) 026. [29] ATLAS Collaboration, Performance of the ATLAS trigger [48] J. Pumplin, D. R. Stump, J. Huston, H.-L. Lai, P. Nadolsky, system in 2015, Eur. Phys. J. C 77, 317 (2017). and W.-K. Tung, New generation of parton distributions [30] J. Alwall, R. Frederix, S. Frixione, V. Hirschi, F. Maltoni, with uncertainties from global QCD analysis, J. High O. Mattelaer, H.-S. Shao, T. Stelzer, P. Torrielli, and M. Energy Phys. 07 (2002) 012. Zaro, The automated computation of tree-level and next- [49] P. Z. Skands, Tuning Monte Carlo generators: The Perugia to-leading order differential cross sections, and their tunes, Phys. Rev. D 82, 074018 (2010). matching to parton shower simulations, J. High Energy [50] D. J. Lange, The EvtGen particle decay simulation pack- Phys. 07 (2014) 079. age, Nucl. Instrum. Methods Phys. Res., Sect. A 462, 152 [31] R. D. Ball et al., Parton distributions with LHC data, Nucl. (2001). Phys. B867, 244 (2013). [51] C. Anastasiou, L. J. Dixon, K. Melnikov, and F. Petriello, [32] T. Sjöstrand, S. Mrenna, and P. Z. Skands, A brief intro- High-precision QCD at hadron colliders: Electroweak duction to PYTHIA 8.1, Comput. Phys. Commun. 178, 852 gauge boson rapidity distributions at next-to-next-to lead- (2008). ing order, Phys. Rev. D 69, 094008 (2004). [33] ATLAS Collaboration, ATLAS Pythia 8 tunes to 7 TeV [52] S. Höche, F. Krauss, M. Schonherr, and F. Siegert, NLO data, Report No. ATL-PHYS-PUB-2014-021, 2014, https:// matrix elements and truncated showers, J. High Energy cds.cern.ch/record/1966419. Phys. 08 (2011) 123. [34] T. Gleisberg, S. Höche, F. Krauss, M. Schönherr, S. [53] M. Czakon, P. Fiedler, and A. Mitov, Total Top-Quark Pair- Schumann, F. Siegert, and J. Winter, , Event generation Production Cross Section at Hadron Colliders through with SHERPA 1.1, J. High Energy Phys. 02 (2009) 007. Oðα4s Þ, Phys. Rev. Lett. 110, 252004 (2013). [35] T. Gleisberg and S. Höche, Comix, a new matrix element [54] M. Czakon and A. Mitov, Top++: A program for the generator, J. High Energy Phys. 12 (2008) 039. calculation of the top-pair cross-section at hadron colliders, [36] F. Cascioli, P. Maierhofer, and S. Pozzorini, Scattering Comput. Phys. Commun. 185, 2930 (2014). Amplitudes with Open Loops, Phys. Rev. Lett. 108, [55] N. Kidonakis, Next-to-next-to-leading logarithm resum- 111601 (2012). mation for s-channel single top quark production, Phys. [37] S. Höche, F. Krauss, M. Schönherr, and F. Siegert, QCD Rev. D 81, 054028 (2010). matrix elements þ parton showers: The NLO case, J. High [56] N. Kidonakis, Two-loop soft anomalous dimensions for Energy Phys. 04 (2013) 027. single top quark associated production with a W − or H−, [38] R. D. Ball et al. (NNPDF Collaboration), Parton distribu- Phys. Rev. D 82, 054018 (2010). tions for the LHC Run II, J. High Energy Phys. 04 (2015) [57] ATLAS Collaboration, The ATLAS Simulation Infrastruc- 040. ture, Eur. Phys. J. C 70, 823 (2010). [39] P. Nason, A new method for combining NLO QCD with [58] S. Agostinelli et al., GEANT4: A simulation toolkit, Nucl. shower Monte Carlo algorithms, J. High Energy Phys. 11 Instrum. Methods Phys. Res., Sect. A 506, 250 (2003). (2004) 040. [59] ATLAS Collaboration, Summary of ATLAS Pythia 8 [40] S. Frixione, P. Nason, and G. Ridolfi, A positive-weight tunes, Report No. ATL-PHYS-PUB-2012-003, 2012, next-to-leading-order Monte Carlo for heavy flavour ha- https://cds.cern.ch/record/1474107. droproduction, J. High Energy Phys. 09 (2007) 126. [60] A. D. Martin, W. J. Stirling, R. S. Thorne, and G. Watt, Parton [41] S. Alioli, P. Nason, C. Oleari, and E. Re, A general distributions for the LHC, Eur. Phys. J. C 63, 189 (2009). framework for implementing NLO calculations in shower [61] ATLAS Collaboration, Electron reconstruction and iden- Monte Carlo programs: The POWHEG BOX, J. High tification in the ATLAS experiment usingpthe ffiffiffi 2015 and Energy Phys. 06 (2010) 043. 2016 LHC proton-proton collision data at s ¼ 13 TeV, [42] H.-L. Lai, M. Guzzi, J. Huston, Z. Li, P. M. Nadolsky, J. arXiv:1902.04655. Pumplin, and C.-P. Yuan, New parton distributions for [62] ATLAS Collaboration, Muon reconstruction performance collider physics, Phys. Rev. D 82, 074024 (2010). of the ATLAS detector in proton-proton collision data at pffiffiffi [43] S. Alioli, P. Nason, C. Oleari, and E. Re, NLO single-top s ¼ 13 TeV, Eur. Phys. J. C 76, 292 (2016). production matched with shower in POWHEG: s- and [63] ATLAS Collaboration, Topological cell clustering in the t-channel contributions, J. High Energy Phys. 09 (2009) ATLAS calorimeters and its performance in LHC Run 1, 111; Erratum, J. High Energy Phys. 02 (2010) 11. Eur. Phys. J. C 77, 490 (2017). 032007-21 G. AAD et al. PHYS. REV. D 100, 032007 (2019) [64] M. Cacciari, G. P. Salam, and G. Soyez, The anti-kt jet [84] ATLAS Collaboration, Discrimination pffiffiffibetween light quark clustering algorithm, J. High Energy Phys. 04 (2008) 063. and gluon jets in pp collisions at s ¼ 8 TeV with the [65] M. Cacciari, G. P. Salam, and G. Soyez, FastJet user ATLAS Detector, Report No. ATLAS-CONF-2016-034, manual, Eur. Phys. J. C 72, 1896 (2012). 2016, https://cds.cern.ch/record/2200202. [66] ATLAS Collaboration, Jet energy scale measurements and [85] ATLAS Collaboration, Proposal for particle-level object their systematic uncertainties in proton-proton collisions at and observable definitions for use in physics measure- pffiffiffi s ¼ 13 TeV with the ATLAS detector, Phys. Rev. D 96, ments at the LHC, Report No. ATL-PHYS-PUB-2015- 072002 (2017). 013, 2015, https://cds.cern.ch/record/2022743. [67] ATLAS Collaboration, Performance ofppile-upffiffiffi mitigation [86] ATLAS Collaboration, Luminosity determination in pp pffiffiffi techniques for jets in pp collisions at s ¼ 8 TeV using collisions at s ¼ 8 TeV using the ATLAS detector at the the ATLAS detector, Eur. Phys. J. C 76, 581 (2016). LHC, Eur. Phys. J. C 76, 653 (2016). [68] M. Cacciari and G. P. Salam, Pileup subtraction using jet [87] G. Avoni et al., The new LUCID-2 detector for luminosity areas, Phys. Lett. B 659, 119 (2008). measurement and monitoring in ATLAS, J. Instrum. 13, [69] ATLAS Collaboration, Performance of b-jet identification P07017 (2018). in the ATLAS experiment, J. Instrum. 11, P04008 (2016). [88] ATLAS Collaboration, Measurementpffiffiffi of the Inelastic Pro- [70] ATLAS Collaboration, Optimisation of the ATLAS b- ton-Proton Cross Section at s ¼ 13 TeV with the AT- tagging performance for the 2016 LHC run, Report LAS Detector at the LHC, Phys. Rev. Lett. 117, 182002 No. ATL-PHYS-PUB-2016-012, 2016, https://cds.cern (2016). .ch/record/2160731. [89] ATLAS Collaboration, Electron and photon energy cali- [71] D. Krohn, J. Thaler, and L.-T. Wang, Jet trimming, J. High bration with the ATLAS detector using 2015–2016 LHC Energy Phys. 02 (2010) 084. proton-proton collision data, J. Instrum. 14, P03017 (2019). [72] S. D. Ellis and D. E. Soper, Successive combination jet [90] ATLAS Collaboration, Commissioning of the ATLAS b- algorithm for hadron collisions, Phys. Rev. D 48, 3160 tagging algorithms using tt̄ events in early Run 2 data, (1993). Report No. ATL-PHYS-PUB-2015-039, 2015, https://cds [73] ATLAS Collaboration, Performance of jet substructure .cern.ch/record/2047871. techniques for large-R jets in proton-proton collisions at [91] ATLAS Collaboration, Expected performance of the AT- pffiffiffi s ¼ 7 TeV using the ATLAS detector, J. High Energy LAS b-tagging algorithms in Run-2, Report No. ATL- Phys. 09 (2013) 076. PHYS-PUB-2015-022, 2015, https://cds.cern.ch/record/ [74] ATLAS Collaboration, Jet mass reconstruction with the 2037697. ATLAS Detector in early Run 2 data, Report No. AT- [92] J. Gao, M. Guzzi, J. Huston, H.-L. Lai, Z. Li, P. Nadolsky, LAS-CONF-2016-035, 2016, https://cds.cern.ch/record/ J. Pumplin, D. Stump, and C.-P. Yuan, CT10 next-to-next- 2200211. to-leading order global analysis of QCD, Phys. Rev. D 89, [75] ATLAS Collaboration, Flavor tagging with track-jets in 033009 (2014). boosted topologies with the ATLAS detector, Report [93] L. A. Harland-Lang, A. D. Martin, P. Motylinski, and R. S. No. ATL-PHYS-PUB-2014-013, 2014, https://cds.cern Thorne, Parton distributions in the LHC era: MMHT 2014 .ch/record/1750681. PDFs, Eur. Phys. J. C 75, 204 (2015). [76] A. J. Larkoski, I. Moult, and D. Neill, Power counting to [94] ATLAS Collaboration, Measurement of the cross-section better jet observables, J. High Energy Phys. 12 (2014) 009. for producing a W boson in association with a single top pffiffiffi [77] A. J. Larkoski, I. Moult, and D. Neill, Analytic boosted quark in pp collisions at s ¼ 13 TeV with ATLAS, J. boson discrimination, J. High Energy Phys. 05 (2016) 117. High Energy Phys. 01 (2018) 063. [78] ATLAS Collaboration, Performance of top-quark and W- [95] G. Corcella, I. G. Knowles, G. Marchesini, S. Moretti, K. boson tagging with ATLAS in Run 2 of the LHC, Eur. Odagiri, P. Richardson, M. H. Seymour, and B. R. Webber, Phys. J. C 79, 375 (2019). HERWIG 6: An event generator for hadron emission [79] ATLAS Collaboration, Performance of missing transverse reactions with interfering gluons (including supersymmet- momentum reconstruction with pffiffiffi the ATLAS detector using ric processes), J. High Energy Phys. 01 (2001) 010. proton-proton collisions at s ¼ 13 TeV, Eur. Phys. J. C [96] S. Gieseke, C. Rohr, and A. Siodmok, Colour reconnec- 78, 903 (2018). tions in Herwig++, Eur. Phys. J. C 72, 2225 (2012). [80] ATLAS Collaboration, Searches for heavy ZZ and ZW [97] ATLAS Collaboration, Combined searchpfor ffiffiffi the Standard resonances in the llqq and ννqq final states in pp Model Higgs boson in pp collisions at s ¼ 7 TeV with pffiffiffi collisions at s ¼ 13 TeV with the ATLAS detector, J. the ATLAS detector, Phys. Rev. D 86, 032003 (2012). High Energy Phys. 03 (2018) 009. [98] W. Verkerke and D. P. Kirkby, The RooFit toolkit for data [81] ATLAS Collaboration, Search for WW=WZ resonance modeling, arXiv:physics/0306116. pffiffiffi production in lνqq final states in pp collisions at s ¼ [99] L. Moneta, K. Belasco, K. Cranmer, S. Kreiss, A. Lazzaro, 13 TeV with the ATLAS detector, J. High Energy Phys. 03 D. Piparo, G. Schott, W. Verkerke, M. Wolf, The RooStats (2018) 042. Project, Proc. Sci., ACAT2010 (2010) 057 [arXiv: [82] A. Hoecker et al., TMVA: Toolkit for multivariate data 1009.1003]. analysis, arXiv:physics/0703039. [100] ATLAS Collaboration, Procedure for the LHC Higgs [83] ATLAS Collaboration, Evidence for the H → bb̄ decay boson search combination in summer 2011, Report with the ATLAS detector, J. High Energy Phys. 12 (2017) No. ATL-PHYS-PUB-2011-011, 2011, https://cds.cern 024. .ch/record/1375842. 032007-22 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) [101] N. D. Gagunashvili, Comparison of weighted and un- [102] ATLAS Collaboration, ATLAS computing acknowledge- weighted histograms, Proc. Sci., ACAT2007 (2007) 054 ments, Report No. ATL-GEN-PUB-2016-002, https://cds [arXiv:physics/0605123]. .cern.ch/record/2202407. G. Aad,101 B. Abbott,128 D. C. Abbott,102 O. Abdinov,13,a A. Abed Abud,70a,70b K. Abeling,53 D. K. Abhayasinghe,93 S. H. Abidi,167 O. S. AbouZeid,40 N. L. Abraham,156 H. Abramowicz,161 H. Abreu,160 Y. Abulaiti,6 B. S. Acharya,66a,66b,b B. Achkar,53 S. Adachi,163 L. Adam,99 C. Adam Bourdarios,132 L. Adamczyk,83a L. Adamek,167 J. Adelman,121 M. Adersberger,114 A. Adiguzel,12c,c S. Adorni,54 T. Adye,144 A. A. Affolder,146 Y. Afik,160 C. Agapopoulou,132 M. N. Agaras,38 A. Aggarwal,119 C. Agheorghiesei,27c J. A. Aguilar-Saavedra,140f,140a,d F. Ahmadov,79 X. Ai,15a G. Aielli,73a,73b S. Akatsuka,85 T. P. A. Åkesson,96 E. Akilli,54 A. V. Akimov,110 K. Al Khoury,132 G. L. Alberghi,23b,23a J. Albert,176 M. J. Alconada Verzini,88 S. Alderweireldt,119 M. Aleksa,36 I. N. Aleksandrov,79 C. Alexa,27b D. Alexandre,19 T. Alexopoulos,10 A. Alfonsi,120 M. Alhroob,128 B. Ali,142 G. Alimonti,68a J. Alison,37 S. P. Alkire,148 C. Allaire,132 B. M. M. Allbrooke,156 B. W. Allen,131 P. P. Allport,21 A. Aloisio,69a,69b A. Alonso,40 F. Alonso,88 C. Alpigiani,148 A. A. Alshehri,57 M. Alvarez Estevez,98 B. Alvarez Gonzalez,36 D. Álvarez Piqueras,174 M. G. Alviggi,69a,69b Y. Amaral Coutinho,80b A. Ambler,103 L. Ambroz,135 C. Amelung,26 D. Amidei,105 S. P. Amor Dos Santos,140a S. Amoroso,46 C. S. Amrouche,54 F. An,78 C. Anastopoulos,149 N. Andari,145 T. Andeen,11 C. F. Anders,61b J. K. Anders,20 A. Andreazza,68a,68b V. Andrei,61a C. R. Anelli,176 S. Angelidakis,38 A. Angerami,39 A. V. Anisenkov,122b,122a A. Annovi,71a C. Antel,61a M. T. Anthony,149 M. Antonelli,51 D. J. A. Antrim,171 F. Anulli,72a M. Aoki,81 J. A. Aparisi Pozo,174 L. Aperio Bella,36 G. Arabidze,106 J. P. Araque,140a V. Araujo Ferraz,80b R. Araujo Pereira,80b C. Arcangeletti,51 A. T. H. Arce,49 F. A. Arduh,88 J-F. Arguin,109 S. Argyropoulos,77 J.-H. Arling,46 A. J. Armbruster,36 L. J. Armitage,92 A. Armstrong,171 O. Arnaez,167 H. Arnold,120 A. Artamonov,111,a G. Artoni,135 S. Artz,99 S. Asai,163 N. Asbah,59 E. M. Asimakopoulou,172 L. Asquith,156 K. Assamagan,29 R. Astalos,28a R. J. Atkin,33a M. Atkinson,173 N. B. Atlay,151 H. Atmani,132 K. Augsten,142 G. Avolio,36 R. Avramidou,60a M. K. Ayoub,15a A. M. Azoulay,168b G. Azuelos,109,e M. J. Baca,21 H. Bachacou,145 K. Bachas,67a,67b M. Backes,135 F. Backman,45a,45b P. Bagnaia,72a,72b M. Bahmani,84 H. Bahrasemani,152 A. J. Bailey,174 V. R. Bailey,173 J. T. Baines,144 M. Bajic,40 C. Bakalis,10 O. K. Baker,183 P. J. Bakker,120 D. Bakshi Gupta,8 S. Balaji,157 E. M. Baldin,122b,122a P. Balek,180 F. Balli,145 W. K. Balunas,135 J. Balz,99 E. Banas,84 A. Bandyopadhyay,24 Sw. Banerjee,181,f A. A. E. Bannoura,182 L. Barak,161 W. M. Barbe,38 E. L. Barberio,104 D. Barberis,55b,55a M. Barbero,101 T. Barillari,115 M-S. Barisits,36 J. Barkeloo,131 T. Barklow,153 R. Barnea,160 S. L. Barnes,60c B. M. Barnett,144 R. M. Barnett,18 Z. Barnovska-Blenessy,60a A. Baroncelli,60a G. Barone,29 A. J. Barr,135 L. Barranco Navarro,174 F. Barreiro,98 J. Barreiro Guimarães da Costa,15a S. Barsov,138 R. Bartoldus,153 G. Bartolini,101 A. E. Barton,89 P. Bartos,28a A. Basalaev,46 A. Bassalat,132,g R. L. Bates,57 S. J. Batista,167 S. Batlamous,35e J. R. Batley,32 B. Batool,151 M. Battaglia,146 M. Bauce,72a,72b F. Bauer,145 K. T. Bauer,171 H. S. Bawa,31,h J. B. Beacham,49 T. Beau,136 P. H. Beauchemin,170 F. Becherer,52 P. Bechtle,24 H. C. Beck,53 H. P. Beck,20,i K. Becker,52 M. Becker,99 C. Becot,46 A. Beddall,12d A. J. Beddall,12a V. A. Bednyakov,79 M. Bedognetti,120 C. P. Bee,155 T. A. Beermann,76 M. Begalli,80b M. Begel,29 A. Behera,155 J. K. Behr,46 F. Beisiegel,24 A. S. Bell,94 G. Bella,161 L. Bellagamba,23b A. Bellerive,34 P. Bellos,9 K. Beloborodov,122b,122a K. Belotskiy,112 N. L. Belyaev,112 D. Benchekroun,35a N. Benekos,10 Y. Benhammou,161 D. P. Benjamin,6 M. Benoit,54 J. R. Bensinger,26 S. Bentvelsen,120 L. Beresford,135 M. Beretta,51 D. Berge,46 E. Bergeaas Kuutmann,172 N. Berger,5 B. Bergmann,142 L. J. Bergsten,26 J. Beringer,18 S. Berlendis,7 N. R. Bernard,102 G. Bernardi,136 C. Bernius,153 F. U. Bernlochner,24 T. Berry,93 P. Berta,99 C. Bertella,15a I. A. Bertram,89 G. J. Besjes,40 O. Bessidskaia Bylund,182 N. Besson,145 A. Bethani,100 S. Bethke,115 A. Betti,24 A. J. Bevan,92 J. Beyer,115 R. Bi,139 R. M. Bianchi,139 O. Biebel,114 D. Biedermann,19 R. Bielski,36 K. Bierwagen,99 N. V. Biesuz,71a,71b M. Biglietti,74a T. R. V. Billoud,109 M. Bindi,53 A. Bingul,12d C. Bini,72a,72b S. Biondi,23b,23a M. Birman,180 T. Bisanz,53 J. P. Biswal,161 A. Bitadze,100 C. Bittrich,48 K. Bjørke,134 K. M. Black,25 T. Blazek,28a I. Bloch,46 C. Blocker,26 A. Blue,57 U. Blumenschein,92 G. J. Bobbink,120 V. S. Bobrovnikov,122b,122a S. S. Bocchetta,96 A. Bocci,49 D. Boerner,46 D. Bogavac,14 A. G. Bogdanchikov,122b,122a C. Bohm,45a V. Boisvert,93 P. Bokan,53,172 T. Bold,83a A. S. Boldyrev,113 A. E. Bolz,61b M. Bomben,136 M. Bona,92 J. S. Bonilla,131 M. Boonekamp,145 H. M. Borecka-Bielska,90 A. Borisov,123 G. Borissov,89 J. Bortfeldt,36 D. Bortoletto,135 V. Bortolotto,73a,73b D. Boscherini,23b M. Bosman,14 J. D. Bossio Sola,103 K. Bouaouda,35a 032007-23 G. AAD et al. PHYS. REV. D 100, 032007 (2019) J. Boudreau,139 E. V. Bouhova-Thacker,89 D. Boumediene,38 S. K. Boutle,57 A. Boveia,126 J. Boyd,36 D. Boye,33b,j I. R. Boyko,79 A. J. Bozson,93 J. Bracinik,21 N. Brahimi,101 G. Brandt,182 O. Brandt,61a F. Braren,46 B. Brau,102 J. E. Brau,131 W. D. Breaden Madden,57 K. Brendlinger,46 L. Brenner,46 R. Brenner,172 S. Bressler,180 B. Brickwedde,99 D. L. Briglin,21 D. Britton,57 D. Britzger,115 I. Brock,24 R. Brock,106 G. Brooijmans,39 W. K. Brooks,147b E. Brost,121 J. H Broughton,21 P. A. Bruckman de Renstrom,84 D. Bruncko,28b A. Bruni,23b G. Bruni,23b L. S. Bruni,120 S. Bruno,73a,73b B. H. Brunt,32 M. Bruschi,23b N. Bruscino,139 P. Bryant,37 L. Bryngemark,96 T. Buanes,17 Q. Buat,36 P. Buchholz,151 A. G. Buckley,57 I. A. Budagov,79 M. K. Bugge,134 F. Bührer,52 O. Bulekov,112 T. J. Burch,121 S. Burdin,90 C. D. Burgard,120 A. M. Burger,129 B. Burghgrave,8 K. Burka,84 J. T. P. Burr,46 V. Büscher,99 E. Buschmann,53 P. J. Bussey,57 J. M. Butler,25 C. M. Buttar,57 J. M. Butterworth,94 P. Butti,36 W. Buttinger,36 A. Buzatu,158 A. R. Buzykaev,122b,122a G. Cabras,23b,23a S. Cabrera Urbán,174 D. Caforio,56 H. Cai,173 V. M. M. Cairo,153 O. Cakir,4a N. Calace,36 P. Calafiura,18 A. Calandri,101 G. Calderini,136 P. Calfayan,65 G. Callea,57 L. P. Caloba,80b S. Calvente Lopez,98 D. Calvet,38 S. Calvet,38 T. P. Calvet,155 M. Calvetti,71a,71b R. Camacho Toro,136 S. Camarda,36 D. Camarero Munoz,98 P. Camarri,73a,73b D. Cameron,134 R. Caminal Armadans,102 C. Camincher,36 S. Campana,36 M. Campanelli,94 A. Camplani,40 A. Campoverde,151 V. Canale,69a,69b A. Canesse,103 M. Cano Bret,60c J. Cantero,129 T. Cao,161 Y. Cao,173 M. D. M. Capeans Garrido,36 M. Capua,41b,41a R. Cardarelli,73a F. C. Cardillo,149 I. Carli,143 T. Carli,36 G. Carlino,69a B. T. Carlson,139 L. Carminati,68a,68b R. M. D. Carney,45a,45b S. Caron,119 E. Carquin,147b S. Carrá,68a,68b J. W. S. Carter,167 M. P. Casado,14,k A. F. Casha,167 D. W. Casper,171 R. Castelijn,120 F. L. Castillo,174 V. Castillo Gimenez,174 N. F. Castro,140a,140e A. Catinaccio,36 J. R. Catmore,134 A. Cattai,36 J. Caudron,24 V. Cavaliere,29 E. Cavallaro,14 D. Cavalli,68a M. Cavalli-Sforza,14 V. Cavasinni,71a,71b E. Celebi,12b F. Ceradini,74a,74b L. Cerda Alberich,174 A. S. Cerqueira,80a A. Cerri,156 L. Cerrito,73a,73b F. Cerutti,18 A. Cervelli,23b,23a S. A. Cetin,12b D. Chakraborty,121 S. K. Chan,59 W. S. Chan,120 W. Y. Chan,90 J. D. Chapman,32 B. Chargeishvili,159b D. G. Charlton,21 T. P. Charman,92 C. C. Chau,34 S. Che,126 A. Chegwidden,106 S. Chekanov,6 S. V. Chekulaev,168a G. A. Chelkov,79,l M. A. Chelstowska,36 B. Chen,78 C. Chen,60a C. H. Chen,78 H. Chen,29 J. Chen,60a J. Chen,39 S. Chen,137 S. J. Chen,15c X. Chen,15b,m Y. Chen,82 Y-H. Chen,46 H. C. Cheng,63a H. J. Cheng,15a,15d A. Cheplakov,79 E. Cheremushkina,123 R. Cherkaoui El Moursli,35e E. Cheu,7 K. Cheung,64 T. J. A. Chevalérias,145 L. Chevalier,145 V. Chiarella,51 G. Chiarelli,71a G. Chiodini,67a A. S. Chisholm,36,21 A. Chitan,27b I. Chiu,163 Y. H. Chiu,176 M. V. Chizhov,79 K. Choi,65 A. R. Chomont,72a,72b S. Chouridou,162 Y. S. Chow,120 M. C. Chu,63a J. Chudoba,141 A. J. Chuinard,103 J. J. Chwastowski,84 L. Chytka,130 K. M. Ciesla,84 D. Cinca,47 V. Cindro,91 I. A. Cioară,27b A. Ciocio,18 F. Cirotto,69a,69b Z. H. Citron,180 M. Citterio,68a D. A. Ciubotaru,27b B. M. Ciungu,167 A. Clark,54 M. R. Clark,39 P. J. Clark,50 C. Clement,45a,45b Y. Coadou,101 M. Cobal,66a,66c A. Coccaro,55b J. Cochran,78 H. Cohen,161 A. E. C. Coimbra,36 L. Colasurdo,119 B. Cole,39 A. P. Colijn,120 J. Collot,58 P. Conde Muiño,140a,n E. Coniavitis,52 S. H. Connell,33b I. A. Connelly,57 S. Constantinescu,27b F. Conventi,69a,o A. M. Cooper-Sarkar,135 F. Cormier,175 K. J. R. Cormier,167 L. D. Corpe,94 M. Corradi,72a,72b E. E. Corrigan,96 F. Corriveau,103,p A. Cortes-Gonzalez,36 M. J. Costa,174 F. Costanza,5 D. Costanzo,149 G. Cowan,93 J. W. Cowley,32 J. Crane,100 K. Cranmer,124 S. J. Crawley,57 R. A. Creager,137 S. Crépé-Renaudin,58 F. Crescioli,136 M. Cristinziani,24 V. Croft,120 G. Crosetti,41b,41a A. Cueto,5 T. Cuhadar Donszelmann,149 A. R. Cukierman,153 S. Czekierda,84 P. Czodrowski,36 M. J. Da Cunha Sargedas De Sousa,60b J. V. Da Fonseca Pinto,80b C. Da Via,100 W. Dabrowski,83a T. Dado,28a S. Dahbi,35e T. Dai,105 C. Dallapiccola,102 M. Dam,40 G. D’amen,23b,23a V. D’Amico,74a,74b J. Damp,99 J. R. Dandoy,137 M. F. Daneri,30 N. P. Dang,181,f N. D Dann,100 M. Danninger,175 V. Dao,36 G. Darbo,55b O. Dartsi,5 A. Dattagupta,131 T. Daubney,46 S. D’Auria,68a,68b W. Davey,24 C. David,46 T. Davidek,143 D. R. Davis,49 E. Dawe,104 I. Dawson,149 K. De,8 R. De Asmundis,69a M. De Beurs,120 S. De Castro,23b,23a S. De Cecco,72a,72b N. De Groot,119 P. de Jong,120 H. De la Torre,106 A. De Maria,15c D. De Pedis,72a A. De Salvo,72a U. De Sanctis,73a,73b M. De Santis,73a,73b A. De Santo,156 K. De Vasconcelos Corga,101 J. B. De Vivie De Regie,132 C. Debenedetti,146 D. V. Dedovich,79 A. M. Deiana,42 M. Del Gaudio,41b,41a J. Del Peso,98 Y. Delabat Diaz,46 D. Delgove,132 F. Deliot,145 C. M. Delitzsch,7 M. Della Pietra,69a,69b D. Della Volpe,54 A. Dell’Acqua,36 L. Dell’Asta,73a,73b M. Delmastro,5 C. Delporte,132 P. A. Delsart,58 D. A. DeMarco,167 S. Demers,183 M. Demichev,79 G. Demontigny,109 S. P. Denisov,123 D. Denysiuk,120 L. D’Eramo,136 D. Derendarz,84 J. E. Derkaoui,35d F. Derue,136 P. Dervan,90 K. Desch,24 C. Deterre,46 K. Dette,167 C. Deutsch,24 M. R. Devesa,30 P. O. Deviveiros,36 A. Dewhurst,144 S. Dhaliwal,26 F. A. Di Bello,54 A. Di Ciaccio,73a,73b L. Di Ciaccio,5 W. K. Di Clemente,137 C. Di Donato,69a,69b A. Di Girolamo,36 G. Di Gregorio,71a,71b B. Di Micco,74a,74b R. Di Nardo,102 K. F. Di Petrillo,59 R. Di Sipio,167 D. Di Valentino,34 C. Diaconu,101 F. A. Dias,40 T. Dias Do Vale,140a M. A. Diaz,147a J. Dickinson,18 E. B. Diehl,105 032007-24 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) J. Dietrich,19 S. Díez Cornell,46 A. Dimitrievska,18 W. Ding,15b J. Dingfelder,24 F. Dittus,36 F. Djama,101 T. Djobava,159b J. I. Djuvsland,17 M. A. B. Do Vale,80c M. Dobre,27b D. Dodsworth,26 C. Doglioni,96 J. Dolejsi,143 Z. Dolezal,143 M. Donadelli,80d J. Donini,38 A. D’onofrio,92 M. D’Onofrio,90 J. Dopke,144 A. Doria,69a M. T. Dova,88 A. T. Doyle,57 E. Drechsler,152 E. Dreyer,152 T. Dreyer,53 A. S. Drobac,170 Y. Duan,60b F. Dubinin,110 M. Dubovsky,28a A. Dubreuil,54 E. Duchovni,180 G. Duckeck,114 A. Ducourthial,136 O. A. Ducu,109 D. Duda,115 A. Dudarev,36 A. C. Dudder,99 E. M. Duffield,18 L. Duflot,132 M. Dührssen,36 C. Dülsen,182 M. Dumancic,180 A. E. Dumitriu,27b A. K. Duncan,57 M. Dunford,61a A. Duperrin,101 H. Duran Yildiz,4a M. Düren,56 A. Durglishvili,159b D. Duschinger,48 B. Dutta,46 D. Duvnjak,1 G. I. Dyckes,137 M. Dyndal,36 S. Dysch,100 B. S. Dziedzic,84 K. M. Ecker,115 R. C. Edgar,105 T. Eifert,36 G. Eigen,17 K. Einsweiler,18 T. Ekelof,172 M. El Kacimi,35c R. El Kosseifi,101 V. Ellajosyula,172 M. Ellert,172 F. Ellinghaus,182 A. A. Elliot,92 N. Ellis,36 J. Elmsheuser,29 M. Elsing,36 D. Emeliyanov,144 A. Emerman,39 Y. Enari,163 J. S. Ennis,178 M. B. Epland,49 J. Erdmann,47 A. Ereditato,20 M. Errenst,36 M. Escalier,132 C. Escobar,174 O. Estrada Pastor,174 E. Etzion,161 H. Evans,65 A. Ezhilov,138 F. Fabbri,57 L. Fabbri,23b,23a V. Fabiani,119 G. Facini,94 R. M. Faisca Rodrigues Pereira,140a R. M. Fakhrutdinov,123 S. Falciano,72a P. J. Falke,5 S. Falke,5 J. Faltova,143 Y. Fang,15a Y. Fang,15a G. Fanourakis,44 M. Fanti,68a,68b A. Farbin,8 A. Farilla,74a E. M. Farina,70a,70b T. Farooque,106 S. Farrell,18 S. M. Farrington,178 P. Farthouat,36 F. Fassi,35e P. Fassnacht,36 D. Fassouliotis,9 M. Faucci Giannelli,50 W. J. Fawcett,32 L. Fayard,132 O. L. Fedin,138,q W. Fedorko,175 M. Feickert,42 S. Feigl,134 L. Feligioni,101 A. Fell,149 C. Feng,60b E. J. Feng,36 M. Feng,49 M. J. Fenton,57 A. B. Fenyuk,123 J. Ferrando,46 A. Ferrante,173 A. Ferrari,172 P. Ferrari,120 R. Ferrari,70a D. E. Ferreira de Lima,61b A. Ferrer,174 D. Ferrere,54 C. Ferretti,105 F. Fiedler,99 A. Filipčič,91 F. Filthaut,119 K. D. Finelli,25 M. C. N. Fiolhais,140a L. Fiorini,174 F. Fischer,114 W. C. Fisher,106 I. Fleck,151 P. Fleischmann,105 R. R. M. Fletcher,137 T. Flick,182 B. M. Flierl,114 L. F. Flores,137 L. R. Flores Castillo,63a F. M. Follega,75a,75b N. Fomin,17 G. T. Forcolin,75a,75b A. Formica,145 F. A. Förster,14 A. C. Forti,100 A. G. Foster,21 M. G. Foti,135 D. Fournier,132 H. Fox,89 P. Francavilla,71a,71b S. Francescato,72a,72b M. Franchini,23b,23a S. Franchino,61a D. Francis,36 L. Franconi,20 M. Franklin,59 A. N. Fray,92 B. Freund,109 W. S. Freund,80b E. M. Freundlich,47 D. C. Frizzell,128 D. Froidevaux,36 J. A. Frost,135 C. Fukunaga,164 E. Fullana Torregrosa,174 E. Fumagalli,55b,55a T. Fusayasu,116 J. Fuster,174 A. Gabrielli,23b,23a A. Gabrielli,18 G. P. Gach,83a S. Gadatsch,54 P. Gadow,115 G. Gagliardi,55b,55a L. G. Gagnon,109 C. Galea,27b B. Galhardo,140a G. E. Gallardo,135 E. J. Gallas,135 B. J. Gallop,144 P. Gallus,142 G. Galster,40 R. Gamboa Goni,92 K. K. Gan,126 S. Ganguly,180 J. Gao,60a Y. Gao,90 Y. S. Gao,31,h C. García,174 J. E. García Navarro,174 J. A. García Pascual,15a C. Garcia-Argos,52 M. Garcia-Sciveres,18 R. W. Gardner,37 N. Garelli,153 S. Gargiulo,52 V. Garonne,134 A. Gaudiello,55b,55a G. Gaudio,70a I. L. Gavrilenko,110 A. Gavrilyuk,111 C. Gay,175 G. Gaycken,24 E. N. Gazis,10 A. A. Geanta,27b C. N. P. Gee,144 J. Geisen,53 M. Geisen,99 M. P. Geisler,61a C. Gemme,55b M. H. Genest,58 C. Geng,105 S. Gentile,72a,72b S. George,93 T. Geralis,44 D. Gerbaudo,14 L. O. Gerlach,53 P. Gessinger-Befurt,99 G. Gessner,47 S. Ghasemi,151 M. Ghasemi Bostanabad,176 M. Ghneimat,24 A. Ghosh,77 B. Giacobbe,23b S. Giagu,72a,72b N. Giangiacomi,23b,23a P. Giannetti,71a A. Giannini,69a,69b S. M. Gibson,93 M. Gignac,146 D. Gillberg,34 G. Gilles,182 D. M. Gingrich,3,e M. P. Giordani,66a,66c F. M. Giorgi,23b P. F. Giraud,145 G. Giugliarelli,66a,66c D. Giugni,68a F. Giuli,73a,73b S. Gkaitatzis,162 I. Gkialas,9,r E. L. Gkougkousis,14 P. Gkountoumis,10 L. K. Gladilin,113 C. Glasman,98 J. Glatzer,14 P. C. F. Glaysher,46 A. Glazov,46 M. Goblirsch-Kolb,26 S. Goldfarb,104 T. Golling,54 D. Golubkov,123 A. Gomes,140a,140b R. Goncalves Gama,53 R. Gonçalo,140a,140b G. Gonella,52 L. Gonella,21 A. Gongadze,79 F. Gonnella,21 J. L. Gonski,59 S. González de la Hoz,174 S. Gonzalez-Sevilla,54 G. R. Gonzalvo Rodriguez,174 L. Goossens,36 P. A. Gorbounov,111 H. A. Gordon,29 B. Gorini,36 E. Gorini,67a,67b A. Gorišek,91 A. T. Goshaw,49 M. I. Gostkin,79 C. A. Gottardo,24 M. Gouighri,35b D. Goujdami,35c A. G. Goussiou,148 N. Govender,33b,s C. Goy,5 E. Gozani,160 I. Grabowska-Bold,83a E. C. Graham,90 J. Gramling,171 E. Gramstad,134 S. Grancagnolo,19 M. Grandi,156 V. Gratchev,138 P. M. Gravila,27f F. G. Gravili,67a,67b C. Gray,57 H. M. Gray,18 C. Grefe,24 K. Gregersen,96 I. M. Gregor,46 P. Grenier,153 K. Grevtsov,46 N. A. Grieser,128 J. Griffiths,8 A. A. Grillo,146 K. Grimm,31,t S. Grinstein,14,u J.-F. Grivaz,132 S. Groh,99 E. Gross,180 J. Grosse-Knetter,53 Z. J. Grout,94 C. Grud,105 A. Grummer,118 L. Guan,105 W. Guan,181 J. Guenther,36 A. Guerguichon,132 F. Guescini,168a D. Guest,171 R. Gugel,52 B. Gui,126 T. Guillemin,5 S. Guindon,36 U. Gul,57 J. Guo,60c W. Guo,105 Y. Guo,60a,v Z. Guo,101 R. Gupta,46 S. Gurbuz,12c G. Gustavino,128 P. Gutierrez,128 C. Gutschow,94 C. Guyot,145 M. P. Guzik,83a C. Gwenlan,135 C. B. Gwilliam,90 A. Haas,124 C. Haber,18 H. K. Hadavand,8 N. Haddad,35e A. Hadef,60a S. Hageböck,36 M. Hagihara,169 M. Haleem,177 J. Haley,129 G. Halladjian,106 G. D. Hallewell,101 K. Hamacher,182 P. Hamal,130 K. Hamano,176 H. Hamdaoui,35e G. N. Hamity,149 K. Han,60a,w L. Han,60a S. Han,15a,15d K. Hanagaki,81,x M. Hance,146 D. M. Handl,114 B. Haney,137 R. Hankache,136 E. Hansen,96 J. B. Hansen,40 J. D. Hansen,40 M. C. Hansen,24 032007-25 G. AAD et al. PHYS. REV. D 100, 032007 (2019) P. H. Hansen,40 E. C. Hanson,100 K. Hara,169 A. S. Hard,181 T. Harenberg,182 S. Harkusha,107 P. F. Harrison,178 N. M. Hartmann,114 Y. Hasegawa,150 A. Hasib,50 S. Hassani,145 S. Haug,20 R. Hauser,106 L. B. Havener,39 M. Havranek,142 C. M. Hawkes,21 R. J. Hawkings,36 D. Hayden,106 C. Hayes,155 R. L. Hayes,175 C. P. Hays,135 J. M. Hays,92 H. S. Hayward,90 S. J. Haywood,144 F. He,60a M. P. Heath,50 V. Hedberg,96 L. Heelan,8 S. Heer,24 K. K. Heidegger,52 J. Heilman,34 S. Heim,46 T. Heim,18 B. Heinemann,46,y J. J. Heinrich,131 L. Heinrich,36 C. Heinz,56 J. Hejbal,141 L. Helary,61b A. Held,175 S. Hellesund,134 C. M. Helling,146 S. Hellman,45a,45b C. Helsens,36 R. C. W. Henderson,89 Y. Heng,181 S. Henkelmann,175 A. M. Henriques Correia,36 G. H. Herbert,19 H. Herde,26 V. Herget,177 Y. Hernández Jiménez,33c H. Herr,99 M. G. Herrmann,114 T. Herrmann,48 G. Herten,52 R. Hertenberger,114 L. Hervas,36 T. C. Herwig,137 G. G. Hesketh,94 N. P. Hessey,168a A. Higashida,163 S. Higashino,81 E. Higón-Rodriguez,174 K. Hildebrand,37 E. Hill,176 J. C. Hill,32 K. K. Hill,29 K. H. Hiller,46 S. J. Hillier,21 M. Hils,48 I. Hinchliffe,18 F. Hinterkeuser,24 M. Hirose,133 S. Hirose,52 D. Hirschbuehl,182 B. Hiti,91 O. Hladik,141 D. R. Hlaluku,33c X. Hoad,50 J. Hobbs,155 N. Hod,180 M. C. Hodgkinson,149 A. Hoecker,36 F. Hoenig,114 D. Hohn,52 D. Hohov,132 T. R. Holmes,37 M. Holzbock,114 L. B. A. H Hommels,32 S. Honda,169 T. Honda,81 T. M. Hong,139 A. Hönle,115 B. H. Hooberman,173 W. H. Hopkins,6 Y. Horii,117 P. Horn,48 A. J. Horton,152 L. A. Horyn,37 J-Y. Hostachy,58 A. Hostiuc,148 S. Hou,158 A. Hoummada,35a J. Howarth,100 J. Hoya,88 M. Hrabovsky,130 J. Hrdinka,76 I. Hristova,19 J. Hrivnac,132 A. Hrynevich,108 T. Hryn’ova,5 P. J. Hsu,64 S.-C. Hsu,148 Q. Hu,29 S. Hu,60c Y. Huang,15a Z. Hubacek,142 F. Hubaut,101 M. Huebner,24 F. Huegging,24 T. B. Huffman,135 M. Huhtinen,36 R. F. H. Hunter,34 P. Huo,155 A. M. Hupe,34 N. Huseynov,79,z J. Huston,106 J. Huth,59 R. Hyneman,105 S. Hyrych,28a G. Iacobucci,54 G. Iakovidis,29 I. Ibragimov,151 L. Iconomidou-Fayard,132 Z. Idrissi,35e P. I. Iengo,36 R. Ignazzi,40 O. Igonkina,120,a,aa R. Iguchi,163 T. Iizawa,54 Y. Ikegami,81 M. Ikeno,81 D. Iliadis,162 N. Ilic,119 F. Iltzsche,48 G. Introzzi,70a,70b M. Iodice,74a K. Iordanidou,39 V. Ippolito,72a,72b M. F. Isacson,172 N. Ishijima,133 M. Ishino,163 M. Ishitsuka,165 W. Islam,129 C. Issever,135 S. Istin,160 F. Ito,169 J. M. Iturbe Ponce,63a R. Iuppa,75a,75b A. Ivina,180 H. Iwasaki,81 J. M. Izen,43 V. Izzo,69a P. Jacka,141 P. Jackson,1 R. M. Jacobs,24 V. Jain,2 G. Jäkel,182 K. B. Jakobi,99 K. Jakobs,52 S. Jakobsen,76 T. Jakoubek,141 J. Jamieson,57 K. W. Janas,83a R. Jansky,54 J. Janssen,24 M. Janus,53 P. A. Janus,83a G. Jarlskog,96 N. Javadov,79,z T. Javůrek,36 M. Javurkova,52 F. Jeanneau,145 L. Jeanty,131 J. Jejelava,159a,bb A. Jelinskas,178 P. Jenni,52,cc J. Jeong,46 N. Jeong,46 S. Jézéquel,5 H. Ji,181 J. Jia,155 H. Jiang,78 Y. Jiang,60a Z. Jiang,153,dd S. Jiggins,52 F. A. Jimenez Morales,38 J. Jimenez Pena,174 S. Jin,15c A. Jinaru,27b O. Jinnouchi,165 H. Jivan,33c P. Johansson,149 K. A. Johns,7 C. A. Johnson,65 K. Jon-And,45a,45b R. W. L. Jones,89 S. D. Jones,156 S. Jones,7 T. J. Jones,90 J. Jongmanns,61a P. M. Jorge,140a J. Jovicevic,36 X. Ju,18 J. J. Junggeburth,115 A. Juste Rozas,14,u A. Kaczmarska,84 M. Kado,72a,72b H. Kagan,126 M. Kagan,153 C. Kahra,99 T. Kaji,179 E. Kajomovitz,160 C. W. Kalderon,96 A. Kaluza,99 A. Kamenshchikov,123 L. Kanjir,91 Y. Kano,163 V. A. Kantserov,112 J. Kanzaki,81 L. S. Kaplan,181 D. Kar,33c M. J. Kareem,168b E. Karentzos,10 S. N. Karpov,79 Z. M. Karpova,79 V. Kartvelishvili,89 A. N. Karyukhin,123 L. Kashif,181 R. D. Kass,126 A. Kastanas,45a,45b Y. Kataoka,163 C. Kato,60d,60c J. Katzy,46 K. Kawade,82 K. Kawagoe,87 T. Kawaguchi,117 T. Kawamoto,163 G. Kawamura,53 E. F. Kay,176 V. F. Kazanin,122b,122a R. Keeler,176 R. Kehoe,42 J. S. Keller,34 E. Kellermann,96 D. Kelsey,156 J. J. Kempster,21 J. Kendrick,21 O. Kepka,141 S. Kersten,182 B. P. Kerševan,91 S. Ketabchi Haghighat,167 M. Khader,173 F. Khalil-Zada,13 M. Khandoga,145 A. Khanov,129 A. G. Kharlamov,122b,122a T. Kharlamova,122b,122a E. E. Khoda,175 A. Khodinov,166 T. J. Khoo,54 E. Khramov,79 J. Khubua,159b S. Kido,82 M. Kiehn,54 C. R. Kilby,93 Y. K. Kim,37 N. Kimura,66a,66c O. M. Kind,19 B. T. King,90,a D. Kirchmeier,48 J. Kirk,144 A. E. Kiryunin,115 T. Kishimoto,163 D. P. Kisliuk,167 V. Kitali,46 O. Kivernyk,5 E. Kladiva,28b,a T. Klapdor-Kleingrothaus,52 M. H. Klein,105 M. Klein,90 U. Klein,90 K. Kleinknecht,99 P. Klimek,121 A. Klimentov,29 T. Klingl,24 T. Klioutchnikova,36 F. F. Klitzner,114 P. Kluit,120 S. Kluth,115 E. Kneringer,76 E. B. F. G. Knoops,101 A. Knue,52 D. Kobayashi,87 T. Kobayashi,163 M. Kobel,48 M. Kocian,153 P. Kodys,143 P. T. Koenig,24 T. Koffas,34 N. M. Köhler,115 T. Koi,153 M. Kolb,61b I. Koletsou,5 T. Komarek,130 T. Kondo,81 N. Kondrashova,60c K. Köneke,52 A. C. König,119 T. Kono,125 R. Konoplich,124,ee V. Konstantinides,94 N. Konstantinidis,94 B. Konya,96 R. Kopeliansky,65 S. Koperny,83a K. Korcyl,84 K. Kordas,162 G. Koren,161 A. Korn,94 I. Korolkov,14 E. V. Korolkova,149 N. Korotkova,113 O. Kortner,115 S. Kortner,115 T. Kosek,143 V. V. Kostyukhin,24 A. Kotwal,49 A. Koulouris,10 A. Kourkoumeli-Charalampidi,70a,70b C. Kourkoumelis,9 E. Kourlitis,149 V. Kouskoura,29 A. B. Kowalewska,84 R. Kowalewski,176 C. Kozakai,163 W. Kozanecki,145 A. S. Kozhin,123 V. A. Kramarenko,113 G. Kramberger,91 D. Krasnopevtsev,60a M. W. Krasny,136 A. Krasznahorkay,36 D. Krauss,115 J. A. Kremer,83a J. Kretzschmar,90 P. Krieger,167 F. Krieter,114 A. Krishnan,61b K. Krizka,18 K. Kroeninger,47 H. Kroha,115 J. Kroll,141 J. Kroll,137 J. Krstic,16 U. Kruchonak,79 H. Krüger,24 N. Krumnack,78 M. C. Kruse,49 T. Kubota,104 S. Kuday,4b J. T. Kuechler,46 S. Kuehn,36 A. Kugel,61a T. Kuhl,46 V. Kukhtin,79 R. Kukla,101 032007-26 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) Y. Kulchitsky,107,ff S. Kuleshov,147b Y. P. Kulinich,173 M. Kuna,58 T. Kunigo,85 A. Kupco,141 T. Kupfer,47 O. Kuprash,52 H. Kurashige,82 L. L. Kurchaninov,168a Y. A. Kurochkin,107 A. Kurova,112 M. G. Kurth,15a,15d E. S. Kuwertz,36 M. Kuze,165 A. K. Kvam,148 J. Kvita,130 T. Kwan,103 A. La Rosa,115 L. La Rotonda,41b,41a F. La Ruffa,41b,41a C. Lacasta,174 F. Lacava,72a,72b D. P. J. Lack,100 H. Lacker,19 D. Lacour,136 E. Ladygin,79 R. Lafaye,5 B. Laforge,136 T. Lagouri,33c S. Lai,53 S. Lammers,65 W. Lampl,7 C. Lampoudis,162 E. Lançon,29 U. Landgraf,52 M. P. J. Landon,92 M. C. Lanfermann,54 V. S. Lang,46 J. C. Lange,53 R. J. Langenberg,36 A. J. Lankford,171 F. Lanni,29 K. Lantzsch,24 A. Lanza,70a A. Lapertosa,55b,55a S. Laplace,136 J. F. Laporte,145 T. Lari,68a F. Lasagni Manghi,23b,23a M. Lassnig,36 T. S. Lau,63a A. Laudrain,132 A. Laurier,34 M. Lavorgna,69a,69b M. Lazzaroni,68a,68b B. Le,104 E. Le Guirriec,101 M. LeBlanc,7 T. LeCompte,6 F. Ledroit-Guillon,58 C. A. Lee,29 G. R. Lee,17 L. Lee,59 S. C. Lee,158 S. J. Lee,34 B. Lefebvre,168a M. Lefebvre,176 F. Legger,114 C. Leggett,18 K. Lehmann,152 N. Lehmann,182 G. Lehmann Miotto,36 W. A. Leight,46 A. Leisos,162,gg M. A. L. Leite,80d R. Leitner,143 D. Lellouch,180,a K. J. C. Leney,42 T. Lenz,24 B. Lenzi,36 R. Leone,7 S. Leone,71a C. Leonidopoulos,50 A. Leopold,136 G. Lerner,156 C. Leroy,109 R. Les,167 C. G. Lester,32 M. Levchenko,138 J. Levêque,5 D. Levin,105 L. J. Levinson,180 D. J. Lewis,21 B. Li,15b B. Li,105 C-Q. Li,60a F. Li,60c H. Li,60a H. Li,60b J. Li,60c K. Li,153 L. Li,60c M. Li,15a Q. Li,15a,15d Q. Y. Li,60a S. Li,60d,60c X. Li,46 Y. Li,46 Z. Li,60b Z. Liang,15a B. Liberti,73a A. Liblong,167 K. Lie,63c S. Liem,120 C. Y. Lin,32 K. Lin,106 T. H. Lin,99 R. A. Linck,65 J. H. Lindon,21 A. L. Lionti,54 E. Lipeles,137 A. Lipniacka,17 M. Lisovyi,61b T. M. Liss,173,hh A. Lister,175 A. M. Litke,146 J. D. Little,8 B. Liu,78,ii B. L Liu,6 H. B. Liu,29 H. Liu,105 J. B. Liu,60a J. K. K. Liu,135 K. Liu,136 M. Liu,60a P. Liu,18 Y. Liu,15a,15d Y. L. Liu,105 Y. W. Liu,60a M. Livan,70a,70b A. Lleres,58 J. Llorente Merino,15a S. L. Lloyd,92 C. Y. Lo,63b F. Lo Sterzo,42 E. M. Lobodzinska,46 P. Loch,7 S. Loffredo,73a,73b T. Lohse,19 K. Lohwasser,149 M. Lokajicek,141 J. D. Long,173 R. E. Long,89 L. Longo,36 K. A. Looper,126 J. A. Lopez,147b I. Lopez Paz,100 A. Lopez Solis,149 J. Lorenz,114 N. Lorenzo Martinez,5 M. Losada,22 P. J. Lösel,114 A. Lösle,52 X. Lou,46 X. Lou,15a A. Lounis,132 J. Love,6 P. A. Love,89 J. J. Lozano Bahilo,174 M. Lu,60a Y. J. Lu,64 H. J. Lubatti,148 C. Luci,72a,72b A. Lucotte,58 C. Luedtke,52 F. Luehring,65 I. Luise,136 L. Luminari,72a B. Lund-Jensen,154 M. S. Lutz,102 D. Lynn,29 R. Lysak,141 E. Lytken,96 F. Lyu,15a V. Lyubushkin,79 T. Lyubushkina,79 H. Ma,29 L. L. Ma,60b Y. Ma,60b G. Maccarrone,51 A. Macchiolo,115 C. M. Macdonald,149 J. Machado Miguens,137 D. Madaffari,174 R. Madar,38 W. F. Mader,48 N. Madysa,48 J. Maeda,82 K. Maekawa,163 S. Maeland,17 T. Maeno,29 M. Maerker,48 A. S. Maevskiy,113 V. Magerl,52 N. Magini,78 D. J. Mahon,39 C. Maidantchik,80b T. Maier,114 A. Maio,140a,140b,140d O. Majersky,28a S. Majewski,131 Y. Makida,81 N. Makovec,132 B. Malaescu,136 Pa. Malecki,84 V. P. Maleev,138 F. Malek,58 U. Mallik,77 D. Malon,6 C. Malone,32 S. Maltezos,10 S. Malyukov,36 J. Mamuzic,174 G. Mancini,51 I. Mandić,91 L. Manhaes de Andrade Filho,80a I. M. Maniatis,162 J. Manjarres Ramos,48 K. H. Mankinen,96 A. Mann,114 A. Manousos,76 B. Mansoulie,145 I. Manthos,162 S. Manzoni,120 A. Marantis,162 G. Marceca,30 L. Marchese,135 G. Marchiori,136 M. Marcisovsky,141 C. Marcon,96 C. A. Marin Tobon,36 M. Marjanovic,38 Z. Marshall,18 M. U. F Martensson,172 S. Marti-Garcia,174 C. B. Martin,126 T. A. Martin,178 V. J. Martin,50 B. Martin dit Latour,17 L. Martinelli,74a,74b M. Martinez,14,u V. I. Martinez Outschoorn,102 S. Martin-Haugh,144 V. S. Martoiu,27b A. C. Martyniuk,94 A. Marzin,36 S. R. Maschek,115 L. Masetti,99 T. Mashimo,163 R. Mashinistov,110 J. Masik,100 A. L. Maslennikov,122b,122a L. H. Mason,104 L. Massa,73a,73b P. Massarotti,69a,69b P. Mastrandrea,71a,71b A. Mastroberardino,41b,41a T. Masubuchi,163 A. Matic,114 P. Mättig,24 J. Maurer,27b B. Maček,91 D. A. Maximov,122b,122a R. Mazini,158 I. Maznas,162 S. M. Mazza,146 S. P. Mc Kee,105 T. G. McCarthy,115 L. I. McClymont,94 W. P. McCormack,18 E. F. McDonald,104 J. A. Mcfayden,36 M. A. McKay,42 K. D. McLean,176 S. J. McMahon,144 P. C. McNamara,104 C. J. McNicol,178 R. A. McPherson,176,p J. E. Mdhluli,33c Z. A. Meadows,102 S. Meehan,148 T. Megy,52 S. Mehlhase,114 A. Mehta,90 T. Meideck,58 B. Meirose,43 D. Melini,174 B. R. Mellado Garcia,33c J. D. Mellenthin,53 M. Melo,28a F. Meloni,46 A. Melzer,24 S. B. Menary,100 E. D. Mendes Gouveia,140a,140e L. Meng,36 X. T. Meng,105 S. Menke,115 E. Meoni,41b,41a S. Mergelmeyer,19 S. A. M. Merkt,139 C. Merlassino,20 P. Mermod,54 L. Merola,69a,69b C. Meroni,68a O. Meshkov,113,110 J. K. R. Meshreki,151 A. Messina,72a,72b J. Metcalfe,6 A. S. Mete,171 C. Meyer,65 J. Meyer,160 J-P. Meyer,145 H. Meyer Zu Theenhausen,61a F. Miano,156 R. P. Middleton,144 L. Mijović,50 G. Mikenberg,180 M. Mikestikova,141 M. Mikuž,91 H. Mildner,149 M. Milesi,104 A. Milic,167 D. A. Millar,92 D. W. Miller,37 A. Milov,180 D. A. Milstead,45a,45b R. A. Mina,153,dd A. A. Minaenko,123 M. Miñano Moya,174 I. A. Minashvili,159b A. I. Mincer,124 B. Mindur,83a M. Mineev,79 Y. Minegishi,163 Y. Ming,181 L. M. Mir,14 A. Mirto,67a,67b K. P. Mistry,137 T. Mitani,179 J. Mitrevski,114 V. A. Mitsou,174 M. Mittal,60c A. Miucci,20 P. S. Miyagawa,149 A. Mizukami,81 J. U. Mjörnmark,96 T. Mkrtchyan,184 M. Mlynarikova,143 T. Moa,45a,45b K. Mochizuki,109 P. Mogg,52 S. Mohapatra,39 R. Moles-Valls,24 M. C. Mondragon,106 K. Mönig,46 J. Monk,40 E. Monnier,101 A. Montalbano,152 J. Montejo Berlingen,36 M. Montella,94 F. Monticelli,88 S. Monzani,68a N. Morange,132 032007-27 G. AAD et al. PHYS. REV. D 100, 032007 (2019) D. Moreno,22 M. Moreno Llácer,36 C. Moreno Martinez,14 P. Morettini,55b M. Morgenstern,120 S. Morgenstern,48 D. Mori,152 M. Morii,59 M. Morinaga,179 V. Morisbak,134 A. K. Morley,36 G. Mornacchi,36 A. P. Morris,94 L. Morvaj,155 P. Moschovakos,36 B. Moser,120 M. Mosidze,159b T. Moskalets,145 H. J. Moss,149 J. Moss,31,jj K. Motohashi,165 E. Mountricha,36 E. J. W. Moyse,102 S. Muanza,101 J. Mueller,139 R. S. P. Mueller,114 D. Muenstermann,89 G. A. Mullier,96 J. L. Munoz Martinez,14 F. J. Munoz Sanchez,100 P. Murin,28b W. J. Murray,178,144 A. Murrone,68a,68b M. Muškinja,18 C. Mwewa,33a A. G. Myagkov,123,kk J. Myers,131 M. Myska,142 B. P. Nachman,18 O. Nackenhorst,47 A. Nag Nag,48 K. Nagai,135 K. Nagano,81 Y. Nagasaka,62 M. Nagel,52 E. Nagy,101 A. M. Nairz,36 Y. Nakahama,117 K. Nakamura,81 T. Nakamura,163 I. Nakano,127 H. Nanjo,133 F. Napolitano,61a R. F. Naranjo Garcia,46 R. Narayan,11 D. I. Narrias Villar,61a I. Naryshkin,138 T. Naumann,46 G. Navarro,22 H. A. Neal,105,a P. Y. Nechaeva,110 F. Nechansky,46 T. J. Neep,21 A. Negri,70a,70b M. Negrini,23b C. Nellist,53 M. E. Nelson,135 S. Nemecek,141 P. Nemethy,124 M. Nessi,36,ll M. S. Neubauer,173 M. Neumann,182 P. R. Newman,21 T. Y. Ng,63c Y. S. Ng,19 Y. W. Y. Ng,171 H. D. N. Nguyen,101 T. Nguyen Manh,109 E. Nibigira,38 R. B. Nickerson,135 R. Nicolaidou,145 D. S. Nielsen,40 J. Nielsen,146 N. Nikiforou,11 V. Nikolaenko,123,kk I. Nikolic-Audit,136 K. Nikolopoulos,21 P. Nilsson,29 H. R. Nindhito,54 Y. Ninomiya,81 A. Nisati,72a N. Nishu,60c R. Nisius,115 I. Nitsche,47 T. Nitta,179 T. Nobe,163 Y. Noguchi,85 M. Nomachi,133 I. Nomidis,136 M. A. Nomura,29 M. Nordberg,36 N. Norjoharuddeen,135 T. Novak,91 O. Novgorodova,48 R. Novotny,142 L. Nozka,130 K. Ntekas,171 E. Nurse,94 F. G. Oakham,34,e H. Oberlack,115 J. Ocariz,136 A. Ochi,82 I. Ochoa,39 J. P. Ochoa-Ricoux,147a K. O’Connor,26 S. Oda,87 S. Odaka,81 S. Oerdek,53 A. Ogrodnik,83a A. Oh,100 S. H. Oh,49 C. C. Ohm,154 H. Oide,55b,55a M. L. Ojeda,167 H. Okawa,169 Y. Okazaki,85 Y. Okumura,163 T. Okuyama,81 A. Olariu,27b L. F. Oleiro Seabra,140a S. A. Olivares Pino,147a D. Oliveira Damazio,29 J. L. Oliver,1 M. J. R. Olsson,171 A. Olszewski,84 J. Olszowska,84 D. C. O’Neil,152 A. Onofre,140a,140e K. Onogi,117 P. U. E. Onyisi,11 H. Oppen,134 M. J. Oreglia,37 G. E. Orellana,88 D. Orestano,74a,74b N. Orlando,14 R. S. Orr,167 V. O’Shea,57 R. Ospanov,60a G. Otero y Garzon,30 H. Otono,87 M. Ouchrif,35d F. Ould-Saada,134 A. Ouraou,145 Q. Ouyang,15a M. Owen,57 R. E. Owen,21 V. E. Ozcan,12c N. Ozturk,8 J. Pacalt,130 H. A. Pacey,32 K. Pachal,49 A. Pacheco Pages,14 C. Padilla Aranda,14 S. Pagan Griso,18 M. Paganini,183 G. Palacino,65 S. Palazzo,50 S. Palestini,36 M. Palka,83b D. Pallin,38 I. Panagoulias,10 C. E. Pandini,36 J. G. Panduro Vazquez,93 P. Pani,46 G. Panizzo,66a,66c L. Paolozzi,54 C. Papadatos,109 K. Papageorgiou,9,r A. Paramonov,6 D. Paredes Hernandez,63b S. R. Paredes Saenz,135 B. Parida,166 T. H. Park,167 A. J. Parker,89 M. A. Parker,32 F. Parodi,55b,55a E. W. P. Parrish,121 J. A. Parsons,39 U. Parzefall,52 L. Pascual Dominguez,136 V. R. Pascuzzi,167 J. M. P. Pasner,146 E. Pasqualucci,72a S. Passaggio,55b F. Pastore,93 P. Pasuwan,45a,45b S. Pataraia,99 J. R. Pater,100 A. Pathak,181 T. Pauly,36 B. Pearson,115 M. Pedersen,134 L. Pedraza Diaz,119 R. Pedro,140a T. Peiffer,53 S. V. Peleganchuk,122b,122a O. Penc,141 H. Peng,60a B. S. Peralva,80a M. M. Perego,132 A. P. Pereira Peixoto,140a D. V. Perepelitsa,29 F. Peri,19 L. Perini,68a,68b H. Pernegger,36 S. Perrella,69a,69b K. Peters,46 R. F. Y. Peters,100 B. A. Petersen,36 T. C. Petersen,40 E. Petit,101 A. Petridis,1 C. Petridou,162 P. Petroff,132 M. Petrov,135 F. Petrucci,74a,74b M. Pettee,183 N. E. Pettersson,102 K. Petukhova,143 A. Peyaud,145 R. Pezoa,147b L. Pezzotti,70a,70b T. Pham,104 F. H. Phillips,106 P. W. Phillips,144 M. W. Phipps,173 G. Piacquadio,155 E. Pianori,18 A. Picazio,102 R. H. Pickles,100 R. Piegaia,30 D. Pietreanu,27b J. E. Pilcher,37 A. D. Pilkington,100 M. Pinamonti,73a,73b J. L. Pinfold,3 M. Pitt,180 L. Pizzimento,73a,73b M.-A. Pleier,29 V. Pleskot,143 E. Plotnikova,79 D. Pluth,78 P. Podberezko,122b,122a R. Poettgen,96 R. Poggi,54 L. Poggioli,132 I. Pogrebnyak,106 D. Pohl,24 I. Pokharel,53 G. Polesello,70a A. Poley,18 A. Policicchio,72a,72b R. Polifka,143 A. Polini,23b C. S. Pollard,46 V. Polychronakos,29 D. Ponomarenko,112 L. Pontecorvo,36 S. Popa,27a G. A. Popeneciu,27d D. M. Portillo Quintero,58 S. Pospisil,142 K. Potamianos,46 I. N. Potrap,79 C. J. Potter,32 H. Potti,11 T. Poulsen,96 J. Poveda,36 T. D. Powell,149 G. Pownall,46 M. E. Pozo Astigarraga,36 P. Pralavorio,101 S. Prell,78 D. Price,100 M. Primavera,67a S. Prince,103 M. L. Proffitt,148 N. Proklova,112 K. Prokofiev,63c F. Prokoshin,147b S. Protopopescu,29 J. Proudfoot,6 M. Przybycien,83a D. Pudzha,138 A. Puri,173 P. Puzo,132 J. Qian,105 Y. Qin,100 A. Quadt,53 M. Queitsch-Maitland,46 A. Qureshi,1 P. Rados,104 F. Ragusa,68a,68b G. Rahal,97 J. A. Raine,54 S. Rajagopalan,29 A. Ramirez Morales,92 K. Ran,15a,15d T. Rashid,132 S. Raspopov,5 M. G. Ratti,68a,68b D. M. Rauch,46 F. Rauscher,114 S. Rave,99 B. Ravina,149 I. Ravinovich,180 J. H. Rawling,100 M. Raymond,36 A. L. Read,134 N. P. Readioff,58 M. Reale,67a,67b D. M. Rebuzzi,70a,70b A. Redelbach,177 G. Redlinger,29 K. Reeves,43 L. Rehnisch,19 J. Reichert,137 D. Reikher,161 A. Reiss,99 A. Rej,151 C. Rembser,36 M. Renda,27b M. Rescigno,72a S. Resconi,68a E. D. Resseguie,137 S. Rettie,175 E. Reynolds,21 O. L. Rezanova,122b,122a P. Reznicek,143 E. Ricci,75a,75b R. Richter,115 S. Richter,46 E. Richter-Was,83b O. Ricken,24 M. Ridel,136 P. Rieck,115 C. J. Riegel,182 O. Rifki,46 M. Rijssenbeek,155 A. Rimoldi,70a,70b M. Rimoldi,20 L. Rinaldi,23b G. Ripellino,154 B. Ristić,89 E. Ritsch,36 I. Riu,14 J. C. Rivera Vergara,147a F. Rizatdinova,129 E. Rizvi,92 C. Rizzi,36 R. T. Roberts,100 S. H. Robertson,103,p M. Robin,46 032007-28 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) D. Robinson,32 J. E. M. Robinson,46 A. Robson,57 E. Rocco,99 C. Roda,71a,71b S. Rodriguez Bosca,174 A. Rodriguez Perez,14 D. Rodriguez Rodriguez,174 A. M. Rodríguez Vera,168b S. Roe,36 O. Røhne,134 R. Röhrig,115 C. P. A. Roland,65 J. Roloff,59 A. Romaniouk,112 M. Romano,23b,23a N. Rompotis,90 M. Ronzani,124 L. Roos,136 S. Rosati,72a K. Rosbach,52 N-A. Rosien,53 G. Rosin,102 B. J. Rosser,137 E. Rossi,46 E. Rossi,74a,74b E. Rossi,69a,69b L. P. Rossi,55b L. Rossini,68a,68b R. Rosten,14 M. Rotaru,27b J. Rothberg,148 D. Rousseau,132 G. Rovelli,70a,70b D. Roy,33c A. Rozanov,101 Y. Rozen,160 X. Ruan,33c F. Rubbo,153 F. Rühr,52 A. Ruiz-Martinez,174 A. Rummler,36 Z. Rurikova,52 N. A. Rusakovich,79 H. L. Russell,103 L. Rustige,38,47 J. P. Rutherfoord,7 E. M. Rüttinger,46,mm Y. F. Ryabov,138 M. Rybar,39 G. Rybkin,132 A. Ryzhov,123 G. F. Rzehorz,53 P. Sabatini,53 G. Sabato,120 S. Sacerdoti,132 H. F-W. Sadrozinski,146 R. Sadykov,79 F. Safai Tehrani,72a B. Safarzadeh Samani,156 P. Saha,121 S. Saha,103 M. Sahinsoy,61a A. Sahu,182 M. Saimpert,46 M. Saito,163 T. Saito,163 H. Sakamoto,163 A. Sakharov,124,ee D. Salamani,54 G. Salamanna,74a,74b J. E. Salazar Loyola,147b P. H. Sales De Bruin,172 D. Salihagic,115,a A. Salnikov,153 J. Salt,174 D. Salvatore,41b,41a F. Salvatore,156 A. Salvucci,63a,63b,63c A. Salzburger,36 J. Samarati,36 D. Sammel,52 D. Sampsonidis,162 D. Sampsonidou,162 J. Sánchez,174 A. Sanchez Pineda,66a,66c H. Sandaker,134 C. O. Sander,46 I. G. Sanderswood,89 M. Sandhoff,182 C. Sandoval,22 D. P. C. Sankey,144 M. Sannino,55b,55a Y. Sano,117 A. Sansoni,51 C. Santoni,38 H. Santos,140a,140b S. N. Santpur,18 A. Santra,174 A. Sapronov,79 J. G. Saraiva,140a,140d O. Sasaki,81 K. Sato,169 E. Sauvan,5 P. Savard,167,e N. Savic,115 R. Sawada,163 C. Sawyer,144 L. Sawyer,95,nn C. Sbarra,23b A. Sbrizzi,23a T. Scanlon,94 J. Schaarschmidt,148 P. Schacht,115 B. M. Schachtner,114 D. Schaefer,37 L. Schaefer,137 J. Schaeffer,99 S. Schaepe,36 U. Schäfer,99 A. C. Schaffer,132 D. Schaile,114 R. D. Schamberger,155 N. Scharmberg,100 V. A. Schegelsky,138 D. Scheirich,143 F. Schenck,19 M. Schernau,171 C. Schiavi,55b,55a S. Schier,146 L. K. Schildgen,24 Z. M. Schillaci,26 E. J. Schioppa,36 M. Schioppa,41b,41a K. E. Schleicher,52 S. Schlenker,36 K. R. Schmidt-Sommerfeld,115 K. Schmieden,36 C. Schmitt,99 S. Schmitt,46 S. Schmitz,99 J. C. Schmoeckel,46 U. Schnoor,52 L. Schoeffel,145 A. Schoening,61b E. Schopf,135 M. Schott,99 J. F. P. Schouwenberg,119 J. Schovancova,36 S. Schramm,54 F. Schroeder,182 A. Schulte,99 H-C. Schultz-Coulon,61a M. Schumacher,52 B. A. Schumm,146 Ph. Schune,145 A. Schwartzman,153 T. A. Schwarz,105 Ph. Schwemling,145 R. Schwienhorst,106 A. Sciandra,146 G. Sciolla,26 M. Scodeggio,46 M. Scornajenghi,41b,41a F. Scuri,71a F. Scutti,104 L. M. Scyboz,115 C. D. Sebastiani,72a,72b P. Seema,19 S. C. Seidel,118 A. Seiden,146 T. Seiss,37 J. M. Seixas,80b G. Sekhniaidze,69a K. Sekhon,105 S. J. Sekula,42 N. Semprini-Cesari,23b,23a S. Sen,49 S. Senkin,38 C. Serfon,76 L. Serin,132 L. Serkin,66a,66b M. Sessa,60a H. Severini,128 F. Sforza,170 A. Sfyrla,54 E. Shabalina,53 J. D. Shahinian,146 N. W. Shaikh,45a,45b D. Shaked Renous,180 L. Y. Shan,15a R. Shang,173 J. T. Shank,25 M. Shapiro,18 A. Sharma,135 A. S. Sharma,1 P. B. Shatalov,111 K. Shaw,156 S. M. Shaw,100 A. Shcherbakova,138 Y. Shen,128 N. Sherafati,34 A. D. Sherman,25 P. Sherwood,94 L. Shi,158,oo S. Shimizu,81 C. O. Shimmin,183 Y. Shimogama,179 M. Shimojima,116 I. P. J. Shipsey,135 S. Shirabe,87 M. Shiyakova,79,pp J. Shlomi,180 A. Shmeleva,110 M. J. Shochet,37 J. Shojaii,104 D. R. Shope,128 S. Shrestha,126 E. Shulga,180 P. Sicho,141 A. M. Sickles,173 P. E. Sidebo,154 E. Sideras Haddad,33c O. Sidiropoulou,36 A. Sidoti,23b,23a F. Siegert,48 Dj. Sijacki,16 M. Silva Jr.,181 M. V. Silva Oliveira,80a S. B. Silverstein,45a S. Simion,132 E. Simioni,99 R. Simoniello,99 P. Sinervo,167 N. B. Sinev,131 M. Sioli,23b,23a I. Siral,105 S. Yu. Sivoklokov,113 J. Sjölin,45a,45b E. Skorda,96 P. Skubic,128 M. Slawinska,84 K. Sliwa,170 R. Slovak,143 V. Smakhtin,180 B. H. Smart,144 J. Smiesko,28a N. Smirnov,112 S. Yu. Smirnov,112 Y. Smirnov,112 L. N. Smirnova,113,qq O. Smirnova,96 J. W. Smith,53 M. Smizanska,89 K. Smolek,142 A. Smykiewicz,84 A. A. Snesarev,110 H. L. Snoek,120 I. M. Snyder,131 S. Snyder,29 R. Sobie,176,p A. M. Soffa,171 A. Soffer,161 A. Søgaard,50 F. Sohns,53 C. A. Solans Sanchez,36 E. Yu. Soldatov,112 U. Soldevila,174 A. A. Solodkov,123 A. Soloshenko,79 O. V. Solovyanov,123 V. Solovyev,138 P. Sommer,149 H. Son,170 W. Song,144 W. Y. Song,168b A. Sopczak,142 F. Sopkova,28b C. L. Sotiropoulou,71a,71b S. Sottocornola,70a,70b R. Soualah,66a,66c,rr A. M. Soukharev,122b,122a D. South,46 S. Spagnolo,67a,67b M. Spalla,115 M. Spangenberg,178 F. Spanò,93 D. Sperlich,52 T. M. Spieker,61a R. Spighi,23b G. Spigo,36 M. Spina,156 D. P. Spiteri,57 M. Spousta,143 A. Stabile,68a,68b B. L. Stamas,121 R. Stamen,61a M. Stamenkovic,120 E. Stanecka,84 R. W. Stanek,6 B. Stanislaus,135 M. M. Stanitzki,46 M. Stankaityte,135 B. Stapf,120 E. A. Starchenko,123 G. H. Stark,146 J. Stark,58 S. H Stark,40 P. Staroba,141 P. Starovoitov,61a S. Stärz,103 R. Staszewski,84 G. Stavropoulos,44 M. Stegler,46 P. Steinberg,29 A. L. Steinhebel,131 B. Stelzer,152 H. J. Stelzer,139 O. Stelzer-Chilton,168a H. Stenzel,56 T. J. Stevenson,156 G. A. Stewart,36 M. C. Stockton,36 G. Stoicea,27b M. Stolarski,140a P. Stolte,53 S. Stonjek,115 A. Straessner,48 J. Strandberg,154 S. Strandberg,45a,45b M. Strauss,128 P. Strizenec,28b R. Ströhmer,177 D. M. Strom,131 R. Stroynowski,42 A. Strubig,50 S. A. Stucci,29 B. Stugu,17 J. Stupak,128 N. A. Styles,46 D. Su,153 S. Suchek,61a Y. Sugaya,133 V. V. Sulin,110 M. J. Sullivan,90 D. M. S. Sultan,54 S. Sultansoy,4c T. Sumida,85 S. Sun,105 X. Sun,3 K. Suruliz,156 C. J. E. Suster,157 M. R. Sutton,156 S. Suzuki,81 M. Svatos,141 M. Swiatlowski,37 S. P. Swift,2 T. Swirski,177 A. Sydorenko,99 I. Sykora,28a M. Sykora,143 032007-29 G. AAD et al. PHYS. REV. D 100, 032007 (2019) T. Sykora,143 D. Ta,99 K. Tackmann,46,ss J. Taenzer,161 A. Taffard,171 R. Tafirout,168a E. Tahirovic,92 H. Takai,29 R. Takashima,86 K. Takeda,82 T. Takeshita,150 E. P. Takeva,50 Y. Takubo,81 M. Talby,101 A. A. Talyshev,122b,122a N. M. Tamir,161 J. Tanaka,163 M. Tanaka,165 R. Tanaka,132 B. B. Tannenwald,126 S. Tapia Araya,173 S. Tapprogge,99 A. Tarek Abouelfadl Mohamed,136 S. Tarem,160 G. Tarna,27b,tt G. F. Tartarelli,68a P. Tas,143 M. Tasevsky,141 T. Tashiro,85 E. Tassi,41b,41a A. Tavares Delgado,140a,140b Y. Tayalati,35e A. J. Taylor,50 G. N. Taylor,104 W. Taylor,168b A. S. Tee,89 R. Teixeira De Lima,153 P. Teixeira-Dias,93 H. Ten Kate,36 J. J. Teoh,120 S. Terada,81 K. Terashi,163 J. Terron,98 S. Terzo,14 M. Testa,51 R. J. Teuscher,167,p S. J. Thais,183 T. Theveneaux-Pelzer,46 F. Thiele,40 D. W. Thomas,93 J. O. Thomas,42 J. P. Thomas,21 A. S. Thompson,57 P. D. Thompson,21 L. A. Thomsen,183 E. Thomson,137 Y. Tian,39 R. E. Ticse Torres,53 V. O. Tikhomirov,110,uu Yu. A. Tikhonov,122b,122a S. Timoshenko,112 P. Tipton,183 S. Tisserant,101 K. Todome,23b,23a S. Todorova-Nova,5 S. Todt,48 J. Tojo,87 S. Tokár,28a K. Tokushuku,81 E. Tolley,126 K. G. Tomiwa,33c M. Tomoto,117 L. Tompkins,153,dd K. Toms,118 B. Tong,59 P. Tornambe,102 E. Torrence,131 H. Torres,48 E. Torró Pastor,148 C. Tosciri,135 J. Toth,101,vv D. R. Tovey,149 C. J. Treado,124 T. Trefzger,177 F. Tresoldi,156 A. Tricoli,29 I. M. Trigger,168a S. Trincaz-Duvoid,136 W. Trischuk,167 B. Trocmé,58 A. Trofymov,132 C. Troncon,68a M. Trovatelli,176 F. Trovato,156 L. Truong,33b M. Trzebinski,84 A. Trzupek,84 F. Tsai,46 J. C-L. Tseng,135 P. V. Tsiareshka,107,ff A. Tsirigotis,162 N. Tsirintanis,9 V. Tsiskaridze,155 E. G. Tskhadadze,159a M. Tsopoulou,162 I. I. Tsukerman,111 V. Tsulaia,18 S. Tsuno,81 D. Tsybychev,155 Y. Tu,63b A. Tudorache,27b V. Tudorache,27b T. T. Tulbure,27a A. N. Tuna,59 S. Turchikhin,79 D. Turgeman,180 I. Turk Cakir,4b,ww R. J. Turner,21 R. T. Turra,68a P. M. Tuts,39 S. Tzamarias,162 E. Tzovara,99 G. Ucchielli,47 K. Uchida,163 I. Ueda,81 M. Ughetto,45a,45b F. Ukegawa,169 G. Unal,36 A. Undrus,29 G. Unel,171 F. C. Ungaro,104 Y. Unno,81 K. Uno,163 J. Urban,28b P. Urquijo,104 G. Usai,8 J. Usui,81 L. Vacavant,101 V. Vacek,142 B. Vachon,103 K. O. H. Vadla,134 A. Vaidya,94 C. Valderanis,114 E. Valdes Santurio,45a,45b M. Valente,54 S. Valentinetti,23b,23a A. Valero,174 L. Valéry,46 R. A. Vallance,21 A. Vallier,36 J. A. Valls Ferrer,174 T. R. Van Daalen,14 P. Van Gemmeren,6 I. Van Vulpen,120 M. Vanadia,73a,73b W. Vandelli,36 A. Vaniachine,166 D. Vannicola,72a,72b R. Vari,72a E. W. Varnes,7 C. Varni,55b,55a T. Varol,42 D. Varouchas,132 K. E. Varvell,157 M. E. Vasile,27b G. A. Vasquez,176 J. G. Vasquez,183 F. Vazeille,38 D. Vazquez Furelos,14 T. Vazquez Schroeder,36 J. Veatch,53 V. Vecchio,74a,74b M. J. Veen,120 L. M. Veloce,167 F. Veloso,140a,140c S. Veneziano,72a A. Ventura,67a,67b N. Venturi,36 A. Verbytskyi,115 V. Vercesi,70a M. Verducci,74a,74b C. M. Vergel Infante,78 C. Vergis,24 W. Verkerke,120 A. T. Vermeulen,120 J. C. Vermeulen,120 M. C. Vetterli,152,e N. Viaux Maira,147b M. Vicente Barreto Pinto,54 T. Vickey,149 O. E. Vickey Boeriu,149 G. H. A. Viehhauser,135 L. Vigani,135 M. Villa,23b,23a M. Villaplana Perez,68a,68b E. Vilucchi,51 M. G. Vincter,34 V. B. Vinogradov,79 A. Vishwakarma,46 C. Vittori,23b,23a I. Vivarelli,156 M. Vogel,182 P. Vokac,142 S. E. von Buddenbrock,33c E. Von Toerne,24 V. Vorobel,143 K. Vorobev,112 M. Vos,174 J. H. Vossebeld,90 N. Vranjes,16 M. Vranjes Milosavljevic,16 V. Vrba,142 M. Vreeswijk,120 T. Šfiligoj,91 R. Vuillermet,36 I. Vukotic,37 T. Ženiš,28a L. Živković,16 P. Wagner,24 W. Wagner,182 J. Wagner-Kuhr,114 H. Wahlberg,88 K. Wakamiya,82 V. M. Walbrecht,115 J. Walder,89 R. Walker,114 S. D. Walker,93 W. Walkowiak,151 V. Wallangen,45a,45b A. M. Wang,59 C. Wang,60c C. Wang,60b F. Wang,181 H. Wang,18 H. Wang,3 J. Wang,157 J. Wang,61b P. Wang,42 Q. Wang,128 R.-J. Wang,99 R. Wang,60a R. Wang,6 S. M. Wang,158 W. T. Wang,60a W. Wang,15c,xx W. X. Wang,60a,xx Y. Wang,60a,yy Z. Wang,60c C. Wanotayaroj,46 A. Warburton,103 C. P. Ward,32 D. R. Wardrope,94 N. Warrack,57 A. Washbrook,50 A. T. Watson,21 M. F. Watson,21 G. Watts,148 B. M. Waugh,94 A. F. Webb,11 S. Webb,99 C. Weber,183 M. S. Weber,20 S. A. Weber,34 S. M. Weber,61a A. R. Weidberg,135 J. Weingarten,47 M. Weirich,99 C. Weiser,52 P. S. Wells,36 T. Wenaus,29 T. Wengler,36 S. Wenig,36 N. Wermes,24 M. D. Werner,78 P. Werner,36 M. Wessels,61a T. D. Weston,20 K. Whalen,131 N. L. Whallon,148 A. M. Wharton,89 A. S. White,105 A. White,8 M. J. White,1 D. Whiteson,171 B. W. Whitmore,89 F. J. Wickens,144 W. Wiedenmann,181 M. Wielers,144 N. Wieseotte,99 C. Wiglesworth,40 L. A. M. Wiik-Fuchs,52 F. Wilk,100 H. G. Wilkens,36 L. J. Wilkins,93 H. H. Williams,137 S. Williams,32 C. Willis,106 S. Willocq,102 J. A. Wilson,21 I. Wingerter-Seez,5 E. Winkels,156 F. Winklmeier,131 O. J. Winston,156 B. T. Winter,52 M. Wittgen,153 M. Wobisch,95 A. Wolf,99 T. M. H. Wolf,120 R. Wolff,101 R. W. Wölker,135 J. Wollrath,52 M. W. Wolter,84 H. Wolters,140a,140c V. W. S. Wong,175 N. L. Woods,146 S. D. Worm,21 B. K. Wosiek,84 K. W. Woźniak,84 K. Wraight,57 S. L. Wu,181 X. Wu,54 Y. Wu,60a T. R. Wyatt,100 B. M. Wynne,50 S. Xella,40 Z. Xi,105 L. Xia,178 D. Xu,15a H. Xu,60a,tt L. Xu,29 T. Xu,145 W. Xu,105 Z. Xu,60b Z. Xu,153 B. Yabsley,157 S. Yacoob,33a K. Yajima,133 D. P. Yallup,94 D. Yamaguchi,165 Y. Yamaguchi,165 A. Yamamoto,81 T. Yamanaka,163 F. Yamane,82 M. Yamatani,163 T. Yamazaki,163 Y. Yamazaki,82 Z. Yan,25 H. J. Yang,60c,60d H. T. Yang,18 S. Yang,77 X. Yang,60b,58 Y. Yang,163 Z. Yang,17 W-M. Yao,18 Y. C. Yap,46 Y. Yasu,81 E. Yatsenko,60c,60d J. Ye,42 S. Ye,29 I. Yeletskikh,79 M. R. Yexley,89 E. Yigitbasi,25 E. Yildirim,99 K. Yorita,179 K. Yoshihara,137 C. J. S. Young,36 C. Young,153 032007-30 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) J. Yu,78 R. Yuan,60b X. Yue,61a S. P. Y. Yuen,24 B. Zabinski,84 G. Zacharis,10 E. Zaffaroni,54 J. Zahreddine,136 R. Zaidan,14 A. M. Zaitsev,123,kk T. Zakareishvili,159b N. Zakharchuk,34 S. Zambito,59 D. Zanzi,36 D. R. Zaripovas,57 S. V. Zeißner,47 C. Zeitnitz,182 G. Zemaityte,135 J. C. Zeng,173 O. Zenin,123 D. Zerwas,132 M. Zgubič,135 D. F. Zhang,15b F. Zhang,181 G. Zhang,60a G. Zhang,15b H. Zhang,15c J. Zhang,6 L. Zhang,15c L. Zhang,60a M. Zhang,173 R. Zhang,60a R. Zhang,24 X. Zhang,60b Y. Zhang,15a,15d Z. Zhang,63a Z. Zhang,132 P. Zhao,49 Y. Zhao,60b Z. Zhao,60a A. Zhemchugov,79 Z. Zheng,105 D. Zhong,173 B. Zhou,105 C. Zhou,181 M. S. Zhou,15a,15d M. Zhou,155 N. Zhou,60c Y. Zhou,7 C. G. Zhu,60b H. L. Zhu,60a H. Zhu,15a J. Zhu,105 Y. Zhu,60a X. Zhuang,15a K. Zhukov,110 V. Zhulanov,122b,122a D. Zieminska,65 N. I. Zimine,79 S. Zimmermann,52 Z. Zinonos,115 M. Ziolkowski,151 G. Zobernig,181 A. Zoccoli,23b,23a K. Zoch,53 T. G. Zorbas,149 R. Zou,37 and L. Zwalinski36 (ATLAS Collaboration) 1 Department of Physics, University of Adelaide, Adelaide, Australia 2 Physics Department, SUNY Albany, Albany, New York, USA 3 Department of Physics, University of Alberta, Edmonton, Alberta, Canada 4a Department of Physics, Ankara University, Ankara, Turkey 4b Istanbul Aydin University, Istanbul, Turkey 4c Division of Physics, TOBB University of Economics and Technology, Ankara, Turkey 5 LAPP, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France 6 High Energy Physics Division, Argonne National Laboratory, Argonne, Illinois, USA 7 Department of Physics, University of Arizona, Tucson, Arizona, USA 8 Department of Physics, University of Texas at Arlington, Arlington, Texas, USA 9 Physics Department, National and Kapodistrian University of Athens, Athens, Greece 10 Physics Department, National Technical University of Athens, Zografou, Greece 11 Department of Physics, University of Texas at Austin, Austin, Texas, USA 12a Bahcesehir University, Faculty of Engineering and Natural Sciences, Istanbul, Turkey 12b Istanbul Bilgi University, Faculty of Engineering and Natural Sciences, Istanbul, Turkey 12c Department of Physics, Bogazici University, Istanbul, Turkey 12d Department of Physics Engineering, Gaziantep University, Gaziantep, Turkey 13 Institute of Physics, Azerbaijan Academy of Sciences, Baku, Azerbaijan 14 Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain 15a Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China 15b Physics Department, Tsinghua University, Beijing, China 15c Department of Physics, Nanjing University, Nanjing, China 15d University of Chinese Academy of Science (UCAS), Beijing, China 16 Institute of Physics, University of Belgrade, Belgrade, Serbia 17 Department for Physics and Technology, University of Bergen, Bergen, Norway 18 Physics Division, Lawrence Berkeley National Laboratory and University of California, Berkeley, California, USA 19 Institut für Physik, Humboldt Universität zu Berlin, Berlin, Germany 20 Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics, University of Bern, Bern, Switzerland 21 School of Physics and Astronomy, University of Birmingham, Birmingham, United Kingdom 22 Facultad de Ciencias y Centro de Investigaciónes, Universidad Antonio Nariño, Bogota, Colombia 23a INFN Bologna and Universita’ di Bologna, Dipartimento di Fisica, Italy 23b INFN Sezione di Bologna, Italy 24 Physikalisches Institut, Universität Bonn, Bonn, Germany 25 Department of Physics, Boston University, Boston, Massachusetts, USA 26 Department of Physics, Brandeis University, Waltham, Massachusetts, USA 27a Transilvania University of Brasov, Brasov, Romania 27b Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania 27c Department of Physics, Alexandru Ioan Cuza University of Iasi, Iasi, Romania 27d National Institute for Research and Development of Isotopic and Molecular Technologies, Physics Department, Cluj-Napoca, Romania 27e University Politehnica Bucharest, Bucharest, Romania 27f West University in Timisoara, Timisoara, Romania 28a Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovak Republic 032007-31 G. AAD et al. PHYS. REV. D 100, 032007 (2019) 28b Department of Subnuclear Physics, Institute of Experimental Physics of the Slovak Academy of Sciences, Kosice, Slovak Republic 29 Physics Department, Brookhaven National Laboratory, Upton, New York, USA 30 Departamento de Física, Universidad de Buenos Aires, Buenos Aires, Argentina 31 California State University, California, USA 32 Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom 33a Department of Physics, University of Cape Town, Cape Town, South Africa 33b Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa 33c School of Physics, University of the Witwatersrand, Johannesburg, South Africa 34 Department of Physics, Carleton University, Ottawa, Ontario, Canada 35a Faculté des Sciences Ain Chock, Réseau Universitaire de Physique des Hautes Energies—Université Hassan II, Casablanca, Morocco 35b Faculté des Sciences, Université Ibn-Tofail, Kénitra, Morocco 35c Faculté des Sciences Semlalia, Université Cadi Ayyad, LPHEA-Marrakech, Morocco 35d Faculté des Sciences, Université Mohamed Premier and LPTPM, Oujda, Morocco 35e Faculté des sciences, Université Mohammed V, Rabat, Morocco 36 CERN, Geneva, Switzerland 37 Enrico Fermi Institute, University of Chicago, Chicago, Illinois, USA 38 LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France 39 Nevis Laboratory, Columbia University, Irvington, New York, USA 40 Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark 41a Dipartimento di Fisica, Università della Calabria, Rende, Italy 41b INFN Gruppo Collegato di Cosenza, Laboratori Nazionali di Frascati, Italy 42 Physics Department, Southern Methodist University, Dallas, Texas, USA 43 Physics Department, University of Texas at Dallas, Richardson, Texas, USA 44 National Centre for Scientific Research “Demokritos”, Agia Paraskevi, Greece 45a Department of Physics, Stockholm University, Sweden 45b Oskar Klein Centre, Stockholm, Sweden 46 Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany 47 Lehrstuhl für Experimentelle Physik IV, Technische Universität Dortmund, Dortmund, Germany 48 Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany 49 Department of Physics, Duke University, Durham, North Carolina, USA 50 SUPA—School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom 51 INFN e Laboratori Nazionali di Frascati, Frascati, Italy 52 Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany 53 II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany 54 Département de Physique Nucléaire et Corpusculaire, Université de Genève, Genève, Switzerland 55a Dipartimento di Fisica, Università di Genova, Genova, Italy 55b INFN Sezione di Genova, Italy 56 II. Physikalisches Institut, Justus-Liebig-Universität Giessen, Giessen, Germany 57 SUPA—School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom 58 LPSC, Université Grenoble Alpes, CNRS/IN2P3, Grenoble INP, Grenoble, France 59 Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts, USA 60a Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China 60b Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao, China 60c School of Physics and Astronomy, Shanghai Jiao Tong University, KLPPAC-MoE, SKLPPC, Shanghai, China 60d Tsung-Dao Lee Institute, Shanghai, China 61a Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany 61b Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany 62 Faculty of Applied Information Science, Hiroshima Institute of Technology, Hiroshima, Japan 63a Department of Physics, Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China 63b Department of Physics, University of Hong Kong, Hong Kong, China 63c Department of Physics and Institute for Advanced Study, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China 64 Department of Physics, National Tsing Hua University, Hsinchu, Taiwan 65 Department of Physics, Indiana University, Bloomington, Indiana, USA 032007-32 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) 66a INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy 66b ICTP, Trieste, Italy 66c Dipartimento Politecnico di Ingegneria e Architettura, Università di Udine, Udine, Italy 67a INFN Sezione di Lecce, Italy 67b Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy 68a INFN Sezione di Milano, Italy 68b Dipartimento di Fisica, Università di Milano, Milano, Italy 69a INFN Sezione di Napoli, Italy 69b Dipartimento di Fisica, Università di Napoli, Napoli, Italy 70a INFN Sezione di Pavia, Italy 70b Dipartimento di Fisica, Università di Pavia, Pavia, Italy 71a INFN Sezione di Pisa, Italy 71b Dipartimento di Fisica E. Fermi, Università di Pisa, Pisa, Italy 72a INFN Sezione di Roma, Italy 72b Dipartimento di Fisica, Sapienza Università di Roma, Roma, Italy 73a INFN Sezione di Roma Tor Vergata, Italy 73b Dipartimento di Fisica, Università di Roma Tor Vergata, Roma, Italy 74a INFN Sezione di Roma Tre, Italy 74b Dipartimento di Matematica e Fisica, Università Roma Tre, Roma, Italy 75a INFN-TIFPA, Italy 75b Università degli Studi di Trento, Trento, Italy 76 Institut für Astro- und Teilchenphysik, Leopold-Franzens-Universität, Innsbruck, Austria 77 University of Iowa, Iowa City, Iowa, USA 78 Department of Physics and Astronomy, Iowa State University, Ames, Iowa, USA 79 Joint Institute for Nuclear Research, Dubna, Russia 80a Departamento de Engenharia Elétrica, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Brazil 80b Universidade Federal do Rio De Janeiro COPPE/EE/IF, Rio de Janeiro, Brazil 80c Universidade Federal de São João del Rei (UFSJ), São João del Rei, Brazil 80d Instituto de Física, Universidade de São Paulo, São Paulo, Brazil 81 KEK, High Energy Accelerator Research Organization, Tsukuba, Japan 82 Graduate School of Science, Kobe University, Kobe, Japan 83a AGH University of Science and Technology, Faculty of Physics and Applied Computer Science, Krakow, Poland 83b Marian Smoluchowski Institute of Physics, Jagiellonian University, Krakow, Poland 84 Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland 85 Faculty of Science, Kyoto University, Kyoto, Japan 86 Kyoto University of Education, Kyoto, Japan 87 Research Center for Advanced Particle Physics and Department of Physics, Kyushu University, Fukuoka, Japan 88 Instituto de Física La Plata, Universidad Nacional de La Plata and CONICET, La Plata, Argentina 89 Physics Department, Lancaster University, Lancaster, United Kingdom 90 Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom 91 Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia 92 School of Physics and Astronomy, Queen Mary University of London, London, United Kingdom 93 Department of Physics, Royal Holloway University of London, Egham, United Kingdom 94 Department of Physics and Astronomy, University College London, London, United Kingdom 95 Louisiana Tech University, Ruston, Louisiana, USA 96 Fysiska institutionen, Lunds universitet, Lund, Sweden 97 Centre de Calcul de l’Institut National de Physique Nucléaire et de Physique des Particules (IN2P3), Villeurbanne, France 98 Departamento de Física Teorica C-15 and CIAFF, Universidad Autónoma de Madrid, Madrid, Spain 99 Institut für Physik, Universität Mainz, Mainz, Germany 100 School of Physics and Astronomy, University of Manchester, Manchester, United Kingdom 101 CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France 102 Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA 103 Department of Physics, McGill University, Montreal, Quebec, Canada 104 School of Physics, University of Melbourne, Victoria, Australia 105 Department of Physics, University of Michigan, Ann Arbor, Michigan, USA 032007-33 G. AAD et al. PHYS. REV. D 100, 032007 (2019) 106 Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan, USA 107 B.I. Stepanov Institute of Physics, National Academy of Sciences of Belarus, Minsk, Belarus 108 Research Institute for Nuclear Problems of Byelorussian State University, Minsk, Belarus 109 Group of Particle Physics, University of Montreal, Montreal, Quebec, Canada 110 P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow, Russia 111 Institute for Theoretical and Experimental Physics of the National Research Centre Kurchatov Institute, Moscow, Russia 112 National Research Nuclear University MEPhI, Moscow, Russia 113 D.V. Skobeltsyn Institute of Nuclear Physics, M.V. Lomonosov Moscow State University, Moscow, Russia 114 Fakultät für Physik, Ludwig-Maximilians-Universität München, München, Germany 115 Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), München, Germany 116 Nagasaki Institute of Applied Science, Nagasaki, Japan 117 Graduate School of Science and Kobayashi-Maskawa Institute, Nagoya University, Nagoya, Japan 118 Department of Physics and Astronomy, University of New Mexico, Albuquerque, New Mexico, USA 119 Institute for Mathematics, Astrophysics and Particle Physics, Radboud University Nijmegen/Nikhef, Nijmegen, Netherlands 120 Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, Netherlands 121 Department of Physics, Northern Illinois University, DeKalb, Illinois, USA 122a Budker Institute of Nuclear Physics and NSU, SB RAS, Novosibirsk, Russia 122b Novosibirsk State University Novosibirsk, Russia 123 Institute for High Energy Physics of the National Research Centre Kurchatov Institute, Protvino, Russia 124 Department of Physics, New York University, New York, New York, USA 125 Ochanomizu University, Otsuka, Bunkyo-ku, Tokyo, Japan 126 The Ohio State University, Columbus, Ohio, USA 127 Faculty of Science, Okayama University, Okayama, Japan 128 Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, Oklahoma, USA 129 Department of Physics, Oklahoma State University, Stillwater, Oklahoma, USA 130 Palacký University, RCPTM, Joint Laboratory of Optics, Olomouc, Czech Republic 131 Center for High Energy Physics, University of Oregon, Eugene, Oregon, USA 132 LAL, Université Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, Orsay, France 133 Graduate School of Science, Osaka University, Osaka, Japan 134 Department of Physics, University of Oslo, Oslo, Norway 135 Department of Physics, Oxford University, Oxford, United Kingdom 136 LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France 137 Department of Physics, University of Pennsylvania, Philadelphia, Pennsylvania, USA 138 Konstantinov Nuclear Physics Institute of National Research Centre “Kurchatov Institute”, PNPI, St. Petersburg, Russia 139 Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA 140a Laboratório de Instrumentação e Física Experimental de Partículas—LIP, Portugal 140b Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal 140c Departamento de Física, Universidade de Coimbra, Coimbra, Portugal 140d Centro de Física Nuclear da Universidade de Lisboa, Lisboa, Portugal 140e Departamento de Física, Universidade do Minho, Braga, Portugal 140f Universidad de Granada, Granada (Spain), Spain 140g Dep Física and CEFITEC of Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal 141 Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic 142 Czech Technical University in Prague, Prague, Czech Republic 143 Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic 144 Particle Physics Department, Rutherford Appleton Laboratory, Didcot, United Kingdom 145 IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France 146 Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, California, USA 147a Departamento de Física, Pontificia Universidad Católica de Chile, Santiago, Chile 147b Departamento de Física, Universidad Técnica Federico Santa María, Valparaíso, Chile 148 Department of Physics, University of Washington, Seattle, Washington, USA 149 Department of Physics and Astronomy, University of Sheffield, Sheffield, United Kingdom 150 Department of Physics, Shinshu University, Nagano, Japan 032007-34 SEARCH FOR ELECTROWEAK DIBOSON PRODUCTION … PHYS. REV. D 100, 032007 (2019) 151 Department Physik, Universität Siegen, Siegen, Germany 152 Department of Physics, Simon Fraser University, Burnaby, British Columbia, Canada 153 SLAC National Accelerator Laboratory, Stanford, California, USA 154 Physics Department, Royal Institute of Technology, Stockholm, Sweden 155 Departments of Physics and Astronomy, Stony Brook University, Stony Brook, New York, USA 156 Department of Physics and Astronomy, University of Sussex, Brighton, United Kingdom 157 School of Physics, University of Sydney, Sydney, Australia 158 Institute of Physics, Academia Sinica, Taipei, Taiwan 159a E. Andronikashvili Institute of Physics, Iv. Javakhishvili Tbilisi State University, Tbilisi, Georgia 159b High Energy Physics Institute, Tbilisi State University, Tbilisi, Georgia 160 Department of Physics, Technion, Israel Institute of Technology, Haifa, Israel 161 Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel 162 Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece 163 International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan 164 Graduate School of Science and Technology, Tokyo Metropolitan University, Tokyo, Japan 165 Department of Physics, Tokyo Institute of Technology, Tokyo, Japan 166 Tomsk State University, Tomsk, Russia 167 Department of Physics, University of Toronto, Toronto, Ontario, Canada 168a TRIUMF, Vancouver, British Columbia, Canada 168b Department of Physics and Astronomy, York University, Toronto, Ontario, Canada 169 Division of Physics and Tomonaga Center for the History of the Universe, Faculty of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Japan 170 Department of Physics and Astronomy, Tufts University, Medford, Massachusetts, USA 171 Department of Physics and Astronomy, University of California Irvine, Irvine, California, USA 172 Department of Physics and Astronomy, University of Uppsala, Uppsala, Sweden 173 Department of Physics, University of Illinois, Urbana, Illinois, USA 174 Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia—CSIC, Valencia, Spain 175 Department of Physics, University of British Columbia, Vancouver, British Columbia, Canada 176 Department of Physics and Astronomy, University of Victoria, Victoria, British Columbia, Canada 177 Fakultät für Physik und Astronomie, Julius-Maximilians-Universität Würzburg, Würzburg, Germany 178 Department of Physics, University of Warwick, Coventry, United Kingdom 179 Waseda University, Tokyo, Japan 180 Department of Particle Physics, Weizmann Institute of Science, Rehovot, Israel 181 Department of Physics, University of Wisconsin, Madison, Wisconsin, USA 182 Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany 183 Department of Physics, Yale University, New Haven, Connecticut, USA 184 Yerevan Physics Institute, Yerevan, Armenia a Deceased. b Also at Department of Physics, King’s College London, London, United Kingdom. c Also at Istanbul University, Dept. of Physics, Istanbul, Turkey. d Also at Instituto de Fisica Teorica, IFT-UAM/CSIC, Madrid, Spain. e Also at TRIUMF, Vancouver, British Columbia, Canada. f Also at Department of Physics and Astronomy, University of Louisville, Louisville, Kentucky, USA. g Also at Physics Department, An-Najah National University, Nablus, Palestine. h Also at Department of Physics, California State University, Fresno, California, USA. i Also at Department of Physics, University of Fribourg, Fribourg, Switzerland. j Also at Physics Dept, University of South Africa, Pretoria, South Africa. k Also at Departament de Fisica de la Universitat Autonoma de Barcelona, Barcelona, Spain. l Also at Tomsk State University, Tomsk, and Moscow Institute of Physics and Technology State University, Dolgoprudny, Russia. m Also at The Collaborative Innovation Center of Quantum Matter (CICQM), Beijing, China. n Also at Departamento de Física, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal. o Also at Universita di Napoli Parthenope, Napoli, Italy. p Also at Institute of Particle Physics (IPP), Canada. q Also at Department of Physics, St. Petersburg State Polytechnical University, St. Petersburg, Russia. r Also at Department of Financial and Management Engineering, University of the Aegean, Chios, Greece. s Also at Centre for High Performance Computing, CSIR Campus, Rosebank, Cape Town, South Africa. t Also at Department of Physics, California State University, East Bay, California, USA. 032007-35 G. AAD et al. PHYS. REV. D 100, 032007 (2019) u Also at Institucio Catalana de Recerca i Estudis Avancats, ICREA, Barcelona, Spain. v Also at Department of Physics, University of Michigan, Ann Arbor, Michigan, USA. w Also at LAL, Université Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, Orsay, France. x Also at Graduate School of Science, Osaka University, Osaka, Japan. y Also at Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany. z Also at Institute of Physics, Azerbaijan Academy of Sciences, Baku, Azerbaijan. aa Also at Institute for Mathematics, Astrophysics and Particle Physics, Radboud University Nijmegen/Nikhef, Nijmegen, Netherlands. bb Also at Institute of Theoretical Physics, Ilia State University, Tbilisi, Georgia. cc Also at CERN, Geneva, Switzerland. dd Also at Department of Physics, Stanford University, Stanford, California, USA. ee Also at Manhattan College, New York, New York, USA. ff Also at Joint Institute for Nuclear Research, Dubna, Russia. gg Also at Hellenic Open University, Patras, Greece. hh Also at The City College of New York, New York, New York, USA. ii Also at Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China. jj Also at Department of Physics, California State University, Sacramento, USA. kk Also at Moscow Institute of Physics and Technology State University, Dolgoprudny, Russia. ll Also at Département de Physique Nucléaire et Corpusculaire, Université de Genève, Genève, Switzerland. mm Also at Department of Physics and Astronomy, University of Sheffield, Sheffield, United Kingdom. nn Also at Louisiana Tech University, Ruston, Louisiana, USA. oo Also at School of Physics, Sun Yat-sen University, Guangzhou, China. pp Also at Institute for Nuclear Research and Nuclear Energy (INRNE) of the Bulgarian Academy of Sciences, Sofia, Bulgaria. qq Also at Faculty of Physics, M.V. Lomonosov Moscow State University, Moscow, Russia. rr Also at Department of Applied Physics and Astronomy, University of Sharjah, Sharjah, United Arab Emirates. ss Also at Institut für Experimentalphysik, Universität Hamburg, Hamburg, Germany. tt Also at CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France. uu Also at National Research Nuclear University MEPhI, Moscow, Russia. vv Also at Institute for Particle and Nuclear Physics, Wigner Research Centre for Physics, Budapest, Hungary. ww Also at Giresun University, Faculty of Engineering, Giresun, Turkey. xx Also at Institute of Physics, Academia Sinica, Taipei, Taiwan. yy Also at LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France. 032007-36