Search for anomalous triple gauge couplings in WW and WZ production in lepton + jet events in proton-proton collisions at $\sqrt{s} =$ 13 TeV

TL;DR

This paper searches for signs of anomalous triple gauge couplings in WW and WZ production using proton-proton collision data at 13 TeV, setting the most stringent limits to date on these couplings.

Contribution

First search for anomalous WWγ and WWZ couplings in lepton+jet events at 13 TeV with CMS, providing the tightest bounds on these parameters.

Findings

No deviation from the Standard Model observed.

95% confidence intervals set for anomalous coupling parameters.

Results improve previous bounds significantly.

Abstract

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

Figures

Equations

$$\delta \mathcal{L}=\frac{c_{\text{PW}\text{PW}\text{PW}}}{{\Lambda }^2}\text{Tr}\left[{\text{PW}}_{\mu \nu }{\text{PW}}^{\nu \rho }{\text{PW}}_{\rho }^{\mu }\right]+\frac{c_{\text{PW}}}{{\Lambda }^2}{\left({\text{D}}_{\mu }\Phi \right)}^{†}{\text{PW}}^{\mu \nu }\left({\text{D}}_{\nu }\Phi \right)+\frac{c_{\text{PB}}}{{\Lambda }^2}{\left({\text{D}}_{\mu }\Phi \right)}^{†}{\text{PB}}^{\mu \nu }\left({\text{D}}_{\nu }\Phi \right),$$

$${\text{D}}_{\mu }$$

$${\text{PW}}_{\mu \nu }$$

$${\text{PB}}_{\mu \nu }$$

$$F_{\text{signal}}(m_{\text{PW}\text{V}})=$$

$$+\sum _i\left(N_{c_i,1}{c}_i^2{\text{re}}^{a_{i,1}{m}_{\text{PW}\text{V}}}\left(\frac{1+\text{erf}[(m_{\text{PW}\text{V}}-a_{0,i})/a_{\mathrm{w},i}]}{2}\right)+N_{c_i,2}{c}_i{\text{re}}^{a_{i,2}{m}_{\text{PW}\text{V}}}\right)$$

$$+\sum _{i<j}\left(N_{c_i,c_j}{c}_i{c}_j{\text{re}}^{a_{ij}{m}_{\text{PW}\text{V}}}\right),$$

$$F_{\text{bkg}}^{\text{SR}}(m_{\text{PW}\text{V}})$$

$${\alpha }^{\text{MC}}(m_{\text{PW}\text{V}})$$

Full text

0.1 Introduction

The standard model (SM) of particle physics provides a thoroughly tested description of the known elementary particles and their interactions. Its theoretical and observational shortcomings may be explained by the existence of further inner structure at shorter distances or, equivalently, higher energies. One of the goals of the LHC and its detectors is to reveal such structure if it exists.

If the physics beyond the SM does not contain new low-mass particles and is consistent with the symmetries of the SM, its effects can be parametrized in terms of an effective field theory (EFT). In this approach, the new-physics model is constructed by expanding around the SM and integrating over degrees of freedom at higher energies. This leads to additional terms in the Lagrangian, proportional to inverse powers of the mass scale of the new particles, up to numerical factors that depend on the new couplings. We refer to the overall energy scale suppressing these terms as $\Lambda$. In this paper we focus on possible additional contributions to the production of $\PW\PW$ and $\PW\PZ$ final states parametrized in such an EFT model by dimension-six operators [1, 2], with the following CP-conserving modification to the SM Lagrangian:

[TABLE]

where $\Phi$ is the SM Higgs boson field doublet and

[TABLE]

The parameters $\{c_{\PW\PW\PW},c_{\PW},c_{\PB}\}$ control the size of each new contribution. These additional contributions induce triple gauge couplings (TGCs) beyond those present in the SM, and are referred to as anomalous TGCs (aTGCs). The SM behaviour is therefore recovered when $c_{\PW\PW\PW}=c_{\PW}=c_{\PB}=0$. Nonzero aTGCs would lead to increased $\PW\PW$ and $\PW\PZ$ production cross sections at high vector boson pair invariant masses. The search for nonzero aTGCs is performed in the semileptonic final state, with one $\PW$ boson decaying to a lepton ($\Pe$ or $\Pgm$) and a neutrino, and the other $\PW$ or $\PZ$ boson decaying hadronically. The leading-order (LO) Feynman diagram for this process involving triple gauge couplings is shown in Fig. 1.

Although the hadronic decay channel of a gauge boson has a larger branching fraction than the leptonic decay channel, it suffers from the presence of background processes with significantly larger cross sections, especially those producing multiple hadronic jets. The semileptonic final state therefore offers a good balance between efficiency and purity. It also allows a full kinematic reconstruction of the diboson system, using the $\PW$ mass to constrain the combined four-momentum of the lepton and neutrino. Since the effects of the aTGCs are most dramatic at high boson momenta, we consider only hadronic decays from highly Lorentz-boosted vector bosons where the hadronization products of the two final state quarks overlap in the detector to form a single, large-radius jet. This analysis distinguishes $\PW\PW$ and $\PW\PZ$ production using the invariant mass of the jet created as the result of the hadronic decay of the $\PW/\PZ$ boson, thereby providing some discrimination between the different aTGC contributions. However, the relatively poor jet mass resolution significantly limits this separation power. Further discrimination between the different aTGC parameters is only possible by studying angular variables that characterize the diboson production and decay products [3, 4]. Such analysis is outside the scope of this search. To reduce contributions from the significant $\PW\text{+jets}$ SM background processes, jet substructure techniques are used for the boson identification [5].

Previous searches for such signatures by the ATLAS and CMS experiments have focused on leptonic decays [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 16, 18, 19, 20, 21, 22, 23, 24]. Earlier studies in the semileptonic final states [25, 26, 27, 28] were performed using data taken at centre-of-mass energies of 7 and 8\TeV. Similar boosted-boson reconstruction techniques were also used at a centre-of-mass energy of 13\TeV, in the context of search for a narrow resonance decaying to $\PW\PW$ or $\PW\PZ$ in the semileptonic final state [29].

In this paper, the detector is described in Section 0.2; the data and simulated samples are described in Section 0.3; the object reconstruction and the event selection are described in Section 0.4; the signal and background modelling are described in Sections 0.5 and 0.6, respectively; and the systematic uncertainties affecting this analysis are described in Section 0.7. The results are shown in Section 0.8, and a summary is presented in Section 0.9.

0.2 The CMS detector

The central feature of the CMS apparatus is a superconducting solenoid of 6\unitm internal diameter, providing a magnetic field of 3.8\unitT. Within the solenoid volume are a silicon pixel and strip tracker, a lead tungstate crystal electromagnetic calorimeter (ECAL), and a brass and scintillator hadron calorimeter (HCAL), each composed of a barrel and two endcap sections. Forward calorimeters extend the pseudorapidity ($\eta$) coverage provided by the barrel and endcap detectors. Muons are detected in gas-ionization chambers embedded in the steel flux-return yoke outside the solenoid.

Events of interest are selected using a two-tiered trigger system [30]. The first level, composed of custom hardware processors, uses information from the calorimeters and muon detectors to select events at a rate of around 100\unitkHz within a time interval of less than 4\mus. The second level, known as the high-level trigger, consists of a farm of processors running a version of the full event reconstruction software optimized for fast processing, and reduces the event rate to around 1\unitkHz before data storage.

A more detailed description of the CMS detector, together with a definition of the coordinate system used and the relevant kinematic variables, can be found in Ref. [31].

0.3 Data and simulated samples

The analysis is performed on proton-proton ($\Pp\Pp$) collision data recorded by the CMS detector in 2016 at a centre-of-mass energy of 13\TeV, corresponding to an integrated luminosity of 35.9\fbinv.

The signal is simulated using \MGvATNLOv2.4.2 [32] at next-to-leading order (NLO) in the strong coupling $\alpS$, using the “EWDim6” model, which implements the aforementioned EFT [2]. The simulated signal processes include decays of the $\PW$ boson to a tau lepton and neutrino, with the subsequent decay of the tau lepton to a muon or electron and the accompanying neutrino. The simulated signal events are first generated with all three aTGC parameters set to nonzero positive values, and then reweighted to different permutations of zero and nonzero aTGCs using the matrix-element event weights computed by \MGvATNLO. This includes the scenario where all aTGCs parameters are zero, corresponding to SM diboson production. The signal sample is rescaled such that the cross sections for diboson production in this scenario are normalized to the corresponding SM next-to-next-to-leading order (NNLO) cross sections [33, 34] as described in Section 0.5.

For the simulation of background SM processes, a variety of event generators are used. The \POWHEGv1.0 [35, 36, 37, 38] generator is used for the generation of $\cPqt\PW$ events, whilst \POWHEGv2.0 [39, 40, 41, 42, 43, 44, 45] is used for the generation of \ttbarand $t$-channel single top quark events, all at NLO. The \MGvATNLOv2.2.2 generator is used to generate $\PW\text{+jets}$ and $s$-channel single top quark processes at NLO. The parton showering and hadronization for all samples are performed with \PYTHIA [46], using v8.205 for the $s$-channel single top quark samples, and v8.212 for all other samples. The FxFx merging scheme [47, 32] is used for samples generated at NLO, and the MLM merging scheme [48] for those generated at LO. The CUETP8M2T4 underlying event tune [49] is used for the \ttbarsample, whilst the CUETP8M1 underlying event tune [50] is used for all other samples.

The $\PW\text{+jets}$ samples are normalized using inclusive cross sections calculated at NNLO using \MCFM v6.6 [51]. The Top++2.0 [52] program is used to calculate the \ttbarcross section at NNLO in quantum chromodynamics (QCD), including resummation of next-to-next-to-leading logarithmic soft gluon terms.

All events are generated with the NNPDF 3.0 parton distribution functions (PDFs) [53]. Detector response in the Monte Carlo (MC) samples is simulated using a detailed description of the CMS detector implemented with the \GEANTfour [54] package, and processed using the same software chain used for collision data. Residual differences between data and simulation with respect to jet energy scale, jet energy resolution, jet \cPqb tagging efficiency, lepton identification efficiency, lepton energy scale, trigger efficiency, and jet substructure selection efficiency are corrected by corresponding scale factors. Minimum-bias events are superimposed on the simulated events to emulate the effects of additional $\Pp\Pp$ interactions within the same or nearby bunch crossings (pileup), with an average number of 23 $\Pp\Pp$ collisions per bunch crossing. All simulated samples are reweighted to match the distribution of the number of $\Pp\Pp$ interactions per bunch crossing as measured in the data.

0.4 Object reconstruction and event selection

Events targeting the electronic decay of the $\PW$ boson are selected by a single-electron trigger that requires the event to contain either (i) at least one electron candidate satisfying “loose” isolation criteria with transverse momentum $\pt>45\GeV$ and $\abs{\eta}<2.5$, or (ii) at least one electron candidate with $\pt>115\GeV$ and $\abs{\eta}<2.5$ without any additional electron isolation criteria [55, 29]. For the muonic $\PW$ boson decay channel, data are selected by a single-muon trigger [56] that requires an event to contain at least one muon candidate with $\pt>50\GeV$ and $\abs{\eta}<2.4$.

Events accepted for analysis must pass a number of quality criteria designed to reject events containing significant noise in any of the subdetectors, and are also required to have at least one well-reconstructed collision vertex. The reconstructed vertex with the largest value of summed object $\pt^{2}$ is the primary $\Pp\Pp$ interaction vertex. The objects considered are (i) jets clustered using the anti-\ktjet algorithm [57, 58], with the tracks assigned to the vertex as the input, and (ii) the associated missing transverse momentum, taken as the negative vector sum of the \ptof those jets, to account for neutral particles. More details are given in Section 9.4.1 of Ref. [59].

The particle-flow (PF) algorithm [60] aims to reconstruct and identify each individual particle in an event, with an optimized combination of information from the various elements of the CMS detector. The energy of photons is obtained from the ECAL measurement. The energy of electrons is determined from a combination of the electron momentum at the primary interaction vertex as determined by the tracker, the energy of the corresponding ECAL cluster, and the energy sum of all bremsstrahlung photons spatially compatible with originating from the electron track. The momentum of muons is obtained from the curvature of the corresponding track. The energy of charged hadrons is determined from a combination of their momentum measured in the tracker and the matching ECAL and HCAL energy deposits, corrected for zero-suppression effects and for the response of the calorimeters to hadronic showers. Finally, the energy of neutral hadrons is obtained from the corresponding corrected ECAL and HCAL energies.

Electrons are reconstructed by combining information from the central tracking detector and ECAL [61, 55]. Electron candidates are required to exceed a transverse momentum threshold of 50\GeV, and to lie within $\abs{\eta}<2.5$, but outside of the transition region between ECAL barrel and endcaps ($1.44<\abs{\eta}<1.57$) to avoid low-quality reconstruction due to a gap between the barrel and endcap calorimeters, which is filled with services and cables. Electron candidates must pass a number of identification and isolation requirements optimized for high-\ptelectrons [62, 55, 63]. These criteria include requirements on the geometrical matching between the ECAL deposit and the reconstructed track, the ratio of energies deposited in HCAL and ECAL calorimeters, the shape of the ECAL deposit, the impact parameters of the track, and the number of missing hits in the silicon tracker. A requirement on the electron isolation is also applied, which considers tracks originating from the same vertex as the electron, within $\Delta R(\text{electron},\text{track})=\sqrt{\smash[b]{(\Delta\eta)^{2}+(\Delta\phi)^{2}}}<0.3$ of the electron, where $\Delta\eta$ and $\Delta\phi$ are the separations in pseudorapidity and azimuthal angle (in radians), respectively, between the electron and a track. The scalar sum of the \ptof these tracks is required to be less than 5\GeV.

Muons are reconstructed combining tracks in the CMS muon system and inner tracker [64, 56]. They are required to have $\pt>53\GeV$ and $\abs{\eta}<2.4$. Muons must satisfy various reconstruction and identification requirements on the impact parameters of the track, the number of hits in the pixel tracker, the number of tracker layers with hits, the relative \ptuncertainty, the number of muon chambers included in the muon track fit, and the number of segments reconstructed in the muon detector planes. Muons are considered isolated if the scalar sum of the \ptof tracks from the primary vertex within $\Delta R<0.3$ of the muon is less than 10% of the \ptof the muon.

Events are required to contain a single lepton (electron or muon). To reject backgrounds from Drell–Yan and fully leptonic \ttbarevents, we reject events that contain additional leptons, where the \ptthreshold for the additional leptons is lowered to 35 (20)\GeVfor the electron (muon) channel, respectively.

Jets are reconstructed from PF particles, clustered by the anti-\ktalgorithm [57, 58] with distance parameters of 0.4 and 0.8, denoted as AK4 and AK8 jets, respectively. The momentum of a jet is determined as the vectorial sum of all particle momenta in the jet, and is found from simulation to be, on average, within 5 to 10% of the true momentum of the generated particles in the jet over the whole \ptdistribution and detector acceptance. Additional $\Pp\Pp$ interactions within the same or nearby bunch crossings can contribute additional tracks and calorimetric energy depositions, increasing the apparent jet momentum. To mitigate this effect, tracks identified to be originating from pileup vertices are discarded prior to the clustering, and an offset correction is applied to correct for remaining contributions [65]. Jet energy corrections are derived from simulation so that the average measured response of jets becomes identical to that of particle level jets. In situ measurements of the energy balance in dijet, photon+jet, $\PZ$+jet, and multijet events are used to determine any residual differences between the jet energy scale in data and in simulation, and appropriate corrections are made [65]. Additional selection criteria are applied to each jet to remove jets potentially dominated by instrumental effects or reconstruction failures.

The missing transverse momentum vector \ptvecmissis computed as the negative vector sum of the transverse momenta of all the PF candidates in an event, and its magnitude is denoted as \ptmiss [66]. The \ptvecmissis modified to account for corrections to the energy scale of the reconstructed jets in the event. The \ptmissis required to be larger than 110 (40)\GeVin the electron (muon) channel to reject QCD multijet background events. The higher \ptmissthreshold for the electron channel is necessary to reduce the contribution of QCD multijet events with mismeasured \ptmissfrom jets misidentified as electrons, since the electron identification criteria are optimized for greater efficiency at the expense of lower purity.

The leptonic $\PW$ boson candidate is constructed from the lepton and the \ptvecmiss. The longitudinal momentum of the neutrino can be reconstructed from the $\PW$ boson mass constraint, assuming that the neutrino is the sole contributor to the \ptmiss. The $x$ and $y$ components of the neutrino momentum therefore come directly from the \ptvecmiss. Fixing the mass of the $\PW$ boson candidate to its pole mass value, one can relate the four-momentum of the $\PW$ boson to those of the lepton and neutrino via a quadratic equation, which can have two real or complex solutions. In the case of two real solutions, the solution with the smaller absolute value is assigned as the neutrino longitudinal momentum, whereas in the case of two complex solutions, the real part common to both is instead assigned. In simulated SM diboson samples, this method assigns the correct solution in approximately 90% of events. Although $\PW\to\PGt\PGnGt\to\Pe\PGne/\PGm\PGnGm+\PGnGt$ decays are included in the simulated signals, they are not efficiently reconstructed because of the presence of the second neutrino. The reconstructed leptonic $\PW$ boson candidate is then required to have $\pt>200\GeV$.

The AK8 jets with $\pt>200\GeV$ and $\abs{\eta}<2.4$ are used as the basis for the identification of hadronic boson decays, whereas AK4 jets with $\pt>30\GeV$ and $\abs{\eta}<2.4$ are used for the rejection of background processes containing a top quark decay. All jets have to pass basic quality criteria based on the relative fractions of different PF particle types within the jets. They are also excluded from the analysis if they are within $\Delta R<0.3$ of the lepton.

The AK8 jet with the highest \ptserves as the hadronic $\PW$ or $\PZ$ boson (hereafter denoted by V) candidate. The leptonic and hadronic boson candidates are combined into a diboson system by adding their four-momenta. The invariant mass of the reconstructed diboson system, $m_{\PW\text{V}}$, is the chosen event variable for the signal extraction. Because signal events are expected to have a back-to-back topology in the detector, we require events in the signal region to satisfy the following requirements: $\Delta R(\text{AK8 jet},\text{lepton})>\pi/2$, $\Delta\phi(\text{AK8 jet},\ptvecmiss)>2$, and $\Delta\phi(\text{AK8 jet},\PW)>2$, where $\PW$ denotes the reconstructed leptonic $\PW$ boson candidate. Additionally, we require $m_{\PW\text{V}}>900\GeV$ to restrict the phase space to a region where the background can be described by a monotonically falling parametric function.

Jets originating from the decay of $\cPqb$ quarks are identified using the combined secondary vertex discriminator [67]. Those AK4 jets fulfilling the tight working point of the discriminator (${>}0.9535$) are considered as $\cPqb$ tagged. This working point has an overall efficiency of 41% for correctly identifying a jet from a bottom quark, with a 0.1% probability of misidentifying a jet from a light-flavour quark or gluon as $\cPqb$ tagged. Events that contain one or more \cPqb-tagged AK4 jets are rejected to reduce the background from processes containing a top quark decay, especially \ttbar. However, only AK4 jets with a separation of $\Delta R>0.8$ with respect to the hadronic V are included to avoid rejecting $\PW\PZ$ signal events with a $\PZ\to\bbbar$ decay.

To discriminate between AK8 jets originating from heavy-boson decays and jets originating from the hadronization of quarks and gluons, and to improve the resolution of the V jet mass and reduce the residual effect of pileup, we employ a suitable jet grooming algorithm [68, 69]. In this search, we apply a modified mass-drop algorithm [70, 71], known as the soft drop algorithm [72], to the AK8 jet, with parameters $\beta=0$, $z_{\text{cut}}=0.1$, and $R_{0}=0.8$. This removes soft, wide-angle radiation from the jet, reducing the mass of jets initiated by gluons or single quarks, and improving the jet mass resolution for jets originating from heavy particles, here the $\PW$ and $\PZ$ bosons. To further improve the jet mass resolution, prior to grooming the pileup per particle identification (PUPPI) algorithm [73] is used to mitigate the effect of pileup at the reconstructed particle level, making use of local shape information, event pileup properties, and tracking information. Charged particles identified as originating from pileup vertices are discarded. For each neutral particle, a local shape variable is computed using the surrounding charged particles that are compatible with the primary vertex and within the tracker acceptance ($\abs{\eta}<2.5$), and using both charged and neutral particles in the region outside of the tracker coverage. The momenta of the neutral particles are then scaled by the probability that they originate from the primary interaction vertex deduced from the local shape variable, superseding the need for jet-based pileup corrections [5]. The invariant mass of the resulting jet is the PUPPI soft drop mass $m_{\text{SD}}$, one of the most important variables in this analysis.

To further discriminate against jets from the hadronization of gluons and single quarks, the $N$-subjettiness [74] variable $\tau_{N}$ is used. The $N$-subjettiness variable quantifies the compatibility of clustering the jet constituents into exactly $N$ subjets, with small values representing configurations more compatible with the $N$-subjet hypothesis. The ratio between 2- and 1-subjettiness, $\tau_{21}=\tau_{2}/\tau_{1}$, is a powerful discriminant between jets originating from hadronic V decays and those from single gluon or quark hadronization.

We require the AK8 jet in the signal region to have $65<m_{\text{SD}}<105\GeV$ and $\tau_{21}<0.55$ to suppress the background processes, especially those from $\PW\text{+jets}$ events. To better distinguish the $\PW\PW$ and $\PW\PZ$ final states, the signal region is subdivided into the $\PW\PW$-sensitive region ($65<m_{\text{SD}}<85\GeV$) and the $\PW\PZ$-sensitive region ($85<m_{\text{SD}}<105\GeV$). In addition to the signal region, as defined by the selection described above, we define several control regions, each of which is designed to enhance a specific background contribution:

• •

$\PW\text{+jets}$ control region: also referred to as the sideband, defined analogously to the signal region but with $m_{\text{SD}}\in[40,65]\cup[105,150]\GeV$. The two intervals define the lower and upper sidebands, respectively.

• •

\ttbar

control region: defined like the signal region, but requiring at least one \cPqb-tagged AK4 jet, and $m_{\text{SD}}\in[40,150]\GeV$.

The analysis proceeds simultaneously in the electron and muon channels to take into account slight differences in efficiency, acceptance, and background composition. In each of the two channels, the signal is extracted by a two-dimensional fit to the $m_{\text{SD}}$ and $m_{\PW\text{V}}$ distributions in data, with each signal and background contribution represented by a parametric function. Minor background contributions are modelled by directly fitting parametric functions to the simulated samples and keeping them fixed in the final fit. In contrast, major backgrounds are modelled by first determining the function parameters by fitting to the simulation, then using the fit result uncertainties as priors when fitting these to data in the process of the signal extraction. The fit range in $m_{\text{SD}}$ includes the signal region as well as the $\PW\text{+jets}$ control region, to help constrain the $\PW\text{+jets}$ background. To accurately estimate this dominant background, the ratio of the $\PW\text{+jets}$ $m_{\PW\text{V}}$ distributions in the signal and $\PW\text{+jets}$ control regions in data is constrained to match that predicted by the simulation.

0.5 Signal modelling

For diboson processes, with or without additional contributions from anomalous couplings, the $m_{\PW\text{V}}$ distribution can be modelled to a good approximation by an exponential decay function. The inclusion of additional contributions from anomalous couplings leads to an increase of events at higher $m_{\PW\text{V}}$ values. Therefore, the signal shape is modelled as a sum of exponential terms, with a combination of terms accounting for pure SM and aTGC contributions, as well as SM–aTGC and aTGC–aTGC interference effects. The pure aTGC term also includes the error function to ensure its effect is only relevant at larger values of $m_{\PW\text{V}}$.

The complete signal diboson mass distribution, $F_{\text{signal}}(m_{\PW\text{V}})$, is described by:

[TABLE]

where $c_{i}$ are the various aTGC parameters, and $\erf$ is the error function. The complete signal distribution can be decomposed into four contributions: the SM part with no dependence on $c_{i}$, pure aTGC contributions proportional to $c_{i}^{2}$, aTGC–SM interference terms proportional to $c_{i}$, and bilinear interference terms between the different aTGCs proportional to $c_{i}c_{j}$ for $i\neq j$. The parameters $N_{\text{SM}}$, $N_{c_{i},1}$, $N_{c_{i},2}$, and $N_{c_{i},c_{j}}$ are the normalization of the SM, pure aTGC, aTGC–SM interference, and aTGC–aTGC interference terms for the various $c_{i,{j}}$, respectively. Similarly, $a_{0}$, $a_{i,1}$, $a_{i,2}$, and $a_{{ij}}$ are the exponential decay constants of each of these contributions. The parameters $a_{0,i}$ and $a_{\mathrm{w},i}$ govern the turn-on position and steepness of the error function in the pure aTGC contribution for a given $c_{i}$. The exponential term with decay constant $a_{\text{corr}}$ is a small correction added to account for the deviation of the SM contribution from a simple exponential at higher values of $m_{\PW\text{V}}$.

These parameters are determined empirically from the signal simulation. This is done to facilitate easier interpolation between aTGC parameter values, and to avoid large statistical uncertainties from regions with limited numbers of MC events. The following procedure is used to extract the various slope and normalization parameters. First, the SM shape and normalization parameters $a_{0}$ and $N_{\text{SM}}$ are extracted from the simulation by reweighting the \MGvATNLOsignal simulation (which is generated with aTGCs) to the SM simulation (without any aTGCs). Then, the aTGC–SM interference parameters $a_{i,2}$ and $N_{c_{i},2}$ are derived by comparing the shapes when an aTGC is set to equal values but with opposite signs. The pure aTGC parameters $a_{i,1}$, $a_{0,i}$, $a_{\mathrm{w},i}$, and $N_{c_{i},1}$ are then extracted in a simultaneous fit of the SM, aTGC–SM interference, and pure aTGC terms to samples weighted with only a single, nonzero aTGC. Finally, the aTGC–aTGC interference terms are derived by comparing samples with pairs of aTGCs set to nonzero values. The error function in the pure aTGC terms is introduced to accurately model the turn-on behaviour of the aTGC contributions. To simplify the signal model, very small contributions from $c_{\PW\PW\PW}$–SM interference, $c_{\PW\PW\PW}$–$c_{\PB}$ interference, and the error function for $c_{\PB}$ in the $\PW\PZ$ region are neglected.

0.6 Background modelling

There are two major contributions to the SM background ($\PW\text{+jets}$, and \ttbar), and two minor contributions (single top quark and SM diboson production). Even with substantial enhancements of the diboson cross section in the event of nonzero aTGCs, any signal contribution in the control regions is expected to be small since the control regions are explicitly designed to enrich the backgrounds whilst rejecting contamination from the signal processes.

The normalizations of the background contributions are determined during the signal extraction through a two-dimensional fit to the $(m_{\text{SD}},m_{\PW\text{V}})$ distributions in data. The $m_{\text{SD}}$ and $m_{\PW\text{V}}$ shape parameters of the $\PW\text{+jets}$ background, along with the $m_{\PW\text{V}}$ shape parameters of the \ttbarbackground, are also extracted from the two-dimensional fit, as described below. The $m_{\text{SD}}$ shape of the \ttbarbackground, as well as the shapes of the single top quark and SM diboson background contributions, are taken directly from fits to simulation.

Since the \ttbarbackground estimate is largely based on a template derived from simulation, we validate its accuracy by verifying that data in the \ttbarcontrol region are well-modelled by the simulation. Of particular importance are the $m_{\text{SD}}$ and $m_{\PW\text{V}}$ distributions, since $m_{\PW\text{V}}$ is used to extract limits on anomalous couplings. Figure 2 shows that the simulation is in agreement with the data for these variables in the \ttbarcontrol region, which is verified by a $\chi^{2}$ test (with $p$-value ${>}0.99$ in all cases).

Because of the lack of knowledge of the continuous dependence of the shape parameters describing the $m_{\PW\text{V}}$ distribution as a function of $m_{\text{SD}}$, and with no reliable way to continuously model it, the two-dimensional fit is constructed by defining four separate regions in $m_{\text{SD}}$ (lower sideband, signal $\PW\PW$, signal $\PW\PZ$, and upper sideband). All four regions are fitted simultaneously to constrain the shape parameters. In each region, the shape parameters describing the $m_{\PW\text{V}}$ distribution are constant with respect to $m_{\text{SD}}$. In the sideband regions these shape parameters are determined by fitting to the data. In the signal regions the shape parameters are instead obtained by assuming that the simulation accurately describes the ratio of the $m_{\PW\text{V}}$ distributions in the signal and sideband regions. This ratio function $\alpha^{\text{MC}}(m_{\PW\text{V}})$ is used to transfer the shape of the $\PW\text{+jets}$ background, which comes from data, from the sideband to the signal regions, thereby encoding the dependence of $m_{\PW\text{V}}$ on $m_{\text{SD}}$ (the $\alpha$ ratio method [75, 76]). The total background contribution in the signal region, $F_{\text{bkg}}^{\text{SR}}$, can therefore be expressed as:

[TABLE]

where $F$ denotes the parametric functions representing various background contributions in the signal (SR) and sideband (SB) regions. The statistical uncertainties from the fits to data and simulation are propagated to the final prediction of the $\PW\text{+jets}$ and \ttbarbackgrounds, as discussed in Section 0.7.

In the fit, the various background contributions have different constraints placed upon their normalizations and $m_{\PW\text{V}}$ and $m_{\text{SD}}$ shape parameters, depending on the importance of the contribution, and the level of certainty in its modelling. The normalization and $m_{\text{SD}}$ shape parameters of the $\PW\text{+jets}$ contribution are allowed to vary without constraint to account for possible mismodelling. The $m_{\PW\text{V}}$ shape parameters for this contribution are allowed to vary within their uncertainties, which arise from the uncertainties in the simulation entering $\alpha^{\text{MC}}$. The normalization and $m_{\PW\text{V}}$ shape parameters of the \ttbarcontribution are also allowed to vary within their respective uncertainties; however the $m_{\text{SD}}$ shape parameters are kept fixed. For the single top quark contribution, the shape parameters for both $m_{\PW\text{V}}$ and $m_{\text{SD}}$ are kept fixed, whilst the normalization is allowed to float within the systematic uncertainty. Similarly, the shape parameters of the SM diboson contribution are also kept fixed. However, the normalization is constrained with 100% uncertainty to cover its systematic uncertainty, and to allow for a substantial contribution from aTGC processes, consistent with the sensitivity of this analysis. Further discussion of the sources contributing to these uncertainties is provided in Section 0.7. Normalization values before and after the fit for all contributions are shown in Table 0.6.

0.7 Systematic uncertainties

There are several systematic uncertainties that affect the normalizations of the \ttbar, single top quark, and diboson processes that are derived from simulation. These uncertainties are included in the final fit to the data.

An uncertainty of 2.5% [77] is included to account for the uncertainty in the integrated luminosity measurement of the 2016 data set. This uncertainty is treated as correlated between the different processes.

The uncertainty associated with the pileup reweighting of simulated events is calculated from the uncertainty in the total inelastic cross section that is used to derive the pileup weights [78].

We include uncertainties in the cross section calculations used to normalize the contributions from simulation. This is done by utilizing the uncertainties associated with the PDFs following the recommendations of the PDF4LHC working group [79]. Uncertainties corresponding to the choice of renormalization and factorization scales ($\mu_{\mathrm{R}}$ and $\mu_{\mathrm{F}}$, respectively) are computed by reweighting the simulated samples for all combinations of nominal scales and scales multiplied/divided by a factor of two, excluding combinations in which one scale is increased and the other simultaneously decreased, and using the largest deviation as the uncertainty.

A normalization uncertainty of 14% describing the mismodelling of the $\tau_{21}$ selection efficiency [76] is applied to all contributions derived from simulation containing hadronic V boson decays, and is treated as correlated between the different processes. This uncertainty is not applied to the $\PW\text{+jets}$ contribution, which is directly estimated from data, nor to the $t$- and $s$-channel subprocesses of single top quark production, where the hadronically decaying V boson candidate is associated with jets arising from the hadronization of a single light quark or gluon.

For the \ttbarand $\PW\PZ$ samples, we include the uncertainties in the efficiencies to identify and misidentify (mistag) \cPqb quark jets [67]. The uncertainties in the \cPqb tagging efficiencies most notably affect the normalization of the \ttbarbackground, whereas the misidentification uncertainties have only a small impact across the samples.

Uncertainties in the jet energy scale have been measured [65], and are propagated by varying the jet energy scale within its uncertainty for both AK4 and AK8 jets, simultaneously. Similarly, uncertainties in the jet energy resolution are applied to both AK4 and AK8 jets simultaneously by varying their resolutions by ${\pm}1$ standard deviation.

The lepton energy scale is varied within its uncertainty, and its effect is propagated to the signal extraction fit. Lepton resolution uncertainties are included in a similar manner.

Uncertainties in the measurement of lepton efficiency and identification scale factors are also considered. An additional uncertainty is added to account for additional uncertainty in the scale factors at higher electron energies. In the barrel region this uncertainty is 1% below 90\GeV, 2% between 90\GeVand 1\TeV, and 3% above 1\TeV; in the endcaps it is 1% below 90\GeV, 2% between 90 and 300\GeV, and 4% above 300\GeV. In the muon channel, an additional 1% uncertainty is added related to the muon identification criteria, 0.5% related to the isolation requirements, and 0.5% related to the single-muon triggers.

Jet and lepton uncertainties are also propagated to the calculation of \ptmiss. In addition, the influence of PF candidates not associated to any reconstructed physics object [80] (“unclustered” energy deposits) on \ptmissare evaluated and propagated as normalization uncertainties.

The normalization uncertainties for the contributions derived from simulation are summarized in Table 0.7. The influence of jet and lepton uncertainties on \ptmissare included in the corresponding jet and lepton uncertainty rows, whilst the \ptmissuncertainty value is that arising solely from unclustered energy deposits.

Shape uncertainties for the $\PW\text{+jets}$ and \ttbarcontributions, as well as for the signal model, are also considered. The shape uncertainty in the $\PW\text{+jets}$ sideband estimate is propagated from the simultaneous fit of the data sideband, and signal and sideband regions in simulation. The effect of an alternative fit function is also included by inflating the parameter uncertainties to cover the estimate from the alternative function.

The shape uncertainty for the \ttbarcontribution is estimated using the uncertainties in the parameters from the fit of the \ttbarshape to simulation. These are included as nuisance parameters in the background model for the final signal extraction.

For the signal modelling, we include statistical uncertainties from the signal modelling procedure described in Section 0.5, as well as shape variations from the PDF, $\mu_{\mathrm{R}}$ and $\mu_{\mathrm{F}}$ scales, jet energy scale and resolution, lepton energy scale, \ptmiss, and \cPqb tagging-related uncertainties. Uncertainties in the slope parameters of the exponential functions are derived by extracting the signal model from signal simulation with the relevant conditions varied, and using the difference between the fitted slope parameters for the nominal and varied samples. The total uncertainty from these shape variations is the sum of all individual uncertainties in quadrature, resulting in a total uncertainty of approximately 5% for all aTGCs. This is dominated by the PDF and $\mu_{\mathrm{R}}$ and $\mu_{\mathrm{F}}$ scale uncertainties, with smaller contributions from experimental sources, particularly jet energy scale and resolution, and lepton identification, depending on the lepton flavour and signal region under consideration.

Differential corrections from the consideration of higher order NNLO (QCD) [81, 82] and NLO (electroweak) [83] contributions have previously been calculated, and each can be considerable at large $m_{\PW\text{V}}$ (${\gtrsim}20\%$), larger than the scale uncertainty at NLO (QCD). However, since the two corrections have opposite signs, they partially cancel out, reducing their overall effect. In addition, the impact and validity of these higher order corrections on processes with aTGCs has not been fully investigated. Therefore, they are not considered as an additional source of uncertainty.

0.8 Results

We set limits on the aTGCs using the data in the signal region and the background estimates. These are shown in Table 0.8, and also in Figs. 3 and 4, where the $\PW\PW$ and $\PW\PZ$ signal regions are combined into one figure for each lepton channel. Limits are set at 95% confidence level (\CL) using a simultaneous unbinned maximum likelihood fit of the two-dimensional ($m_{\text{SD}}$, $m_{\PW\text{V}}$) distributions in both the electron and muon channels. The fit to $m_{\PW\text{V}}$ covers the range $900<m_{\PW\text{V}}<4500\GeV$, where the lower limit is the minimum requirement on $m_{\PW\text{V}}$ and the upper limit is chosen based on data seen in the control regions. The best-fit values of the aTGC parameters, along with their confidence intervals, are obtained using scans of the profile likelihood ratio, using the procedure described in Section 3.2 of [84]. Systematic uncertainties are included as nuisance parameters: normalization uncertainties are treated as multiplicative parameters constrained by a log-normal distribution, while shape parameter uncertainties are constrained by Gaussian functions around their nominal values. Limits are derived from the contours of the negative logarithmic likelihood as a function of the aTGCs.

Limits on individual anomalous couplings are derived by setting the other two couplings to zero. We assume that the EFT parametrization used here is valid at the energies relevant for this experiment, \iethe true scale associated with any new particles is much larger than the scale $\Lambda$ to which the experiment is sensitive. Specifically, this is possible if the underlying dynamics is strongly coupled [85]. In addition to the EFT parametrization described in Eq. (1), limits are also computed in terms of the parametrization derived for $\PW\PW$ searches at LEP [3, 86] (hereafter referred to as the LEP parametrization), which was also used for searches at the Tevatron [87]. The signal model is reparametrized in terms of the vertex parameters $\lambda_{\PZ}$, $\Delta g_{1}^{\PZ}$, and $\Delta\kappa_{\PZ}$ using the relationships in terms of $c_{\PW}$, $c_{\PB}$, and $c_{\PW\PW\PW}$ given in Ref. [2], and the likelihood minimization procedure repeated. The resulting limits from both parametrizations, along with the best-fit values, are shown in Table 0.8. Limits on the same parameters from $\Pp\Pp$ collision data taken at a centre-of-mass energy of 8\TeV [26] are also quoted to demonstrate the improvement in this analysis (where the limit on $\Delta\kappa_{\Pgg}$ has been converted to a limit on $\Delta\kappa_{\PZ}$ using the relationships in Ref. [2]).

Two-dimensional expected and observed limits on pairwise combinations of the couplings, with the remaining coupling set to zero, are also derived, and the results shown in Fig. 5 for the EFT parametrization, and Fig. 6 for the LEP parametrization.

While the operators associated with $c_{\PW\PW\PW}$ and $c_{\PW}$ induce contributions in similar proportions in both the $\PW\PW$ and $\PW\PZ$ signal regions, we expect the effects of the operator associated with $c_{\PB}$ to be much greater in the $\PW\PW$ region compared to the $\PW\PZ$ region. Consequently, there is little separation power in this analysis between $c_{\PW\PW\PW}$ and $c_{\PW}$, with a similar limit derived on both couplings, and more separation power between $c_{\PW\PW\PW}$/$c_{\PW}$ and $c_{\PB}$ in the case of nonzero coupling values.

A comparison of limits derived in this analysis with those obtained by other analyses performed at the LEP [86], \DZERO [87], CMS [7, 10, 22, 25, 26, 88, 89], and ATLAS [16, 18, 24, 15, 19, 27, 28, 90, 91, 23] experiments is shown in Fig. 7. Limits that were set on $\lambda_{\Pg}$ and $\Delta\kappa_{\Pgg}$ have been converted to limits on $\lambda_{\PZ}$ and $\Delta\kappa_{\PZ}$, respectively, using the relationships in Ref. [2].

The limits derived in this analysis are the strictest bounds on all three parameters to date, improving upon the complementary all-leptonic searches also performed using collision data recorded at a centre-of-mass energy of 13\TeVby the ATLAS [24, 23] and CMS [22] Collaborations. There is an especially significant improvement in the measured limit on $\Delta\kappa_{\PZ}$ over any previous measurement.

0.9 Summary

A measurement of limits on anomalous triple gauge coupling parameters in terms of dimension-six effective field theory operators has been presented. It uses events where two vector bosons are produced, with one decaying leptonically and the other hadronically to a single, massive, large-radius jet. Results are based on data recorded in proton-proton collisions at $\sqrt{s}=13\TeV$ with the CMS detector at the CERN LHC in 2016, corresponding to an integrated luminosity of 35.9\fbinv. Limits are presented both in terms of the $c_{\PW\PW\PW}$, $c_{\PW}$, and $c_{\PB}$ parameters (scaled by an overall new physics energy scale $\Lambda$) in the effective field theory parametrization, and the $\lambda_{\PZ}$, $\Delta g_{1}^{\PZ}$, and $\Delta\kappa_{\PZ}$ parameters in the LEP parametrization. For each parametrization, limits are set at 95% confidence level on individual parameters, as well as on pairwise combinations of parameters. Limits on individual parameters in the effective field theory parametrization are determined to be $-1.58<c_{\PW\PW\PW}/\Lambda^{2}<1.59\TeV^{-2}$, $-2.00<c_{\PW}/\Lambda^{2}<2.65\TeV^{-2}$, and $-8.78<c_{\PB}/\Lambda^{2}<8.54\TeV^{-2}$, in agreement with standard model expectations of zero for each parameter. These are the strictest bounds on these parameters to date.

Acknowledgements.

We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centres and personnel of the Worldwide LHC Computing Grid for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC and the CMS detector provided by the following funding agencies: BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS (Colombia); MSES and CSF (Croatia); RPF (Cyprus); SENESCYT (Ecuador); MoER, ERC IUT, PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRT (Greece); NKFIA (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS, RFBR, and NRC KI (Russia); MESTD (Serbia); SEIDI, CPAN, PCTI, and FEDER (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter, IPST, STAR, and NSTDA (Thailand); TUBITAK and TAEK (Turkey); NASU and SFFR (Ukraine); STFC (United Kingdom); DOE and NSF (USA). Individuals have received support from the Marie-Curie programme and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 752730, and 765710 (European Union); the Leventis Foundation; the A.P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the F.R.S.-FNRS and FWO (Belgium) under the “Excellence of Science – EOS” – be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z181100004218003; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Lendület (“Momentum”) Programme and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences, the New National Excellence Program ÚNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058 (Hungary); the Council of Science and Industrial Research, India; the HOMING PLUS programme of the Foundation for Polish Science, cofinanced from European Union, Regional Development Fund, the Mobility Plus programme of the Ministry of Science and Higher Education, the National Science Center (Poland), contracts Harmonia 2014/14/M/ST2/00428, Opus 2014/13/B/ST2/02543, 2014/15/B/ST2/03998, and 2015/19/B/ST2/02861, Sonata-bis 2012/07/E/ST2/01406; the National Priorities Research Program by Qatar National Research Fund; the Ministry of Science and Education, grant no. 3.2989.2017 (Russia); the Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2015-0509 and the Programa Severo Ochoa del Principado de Asturias; the Thalis and Aristeia programmes cofinanced by EU-ESF and the Greek NSRF; the Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University and the Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); the Welch Foundation, contract C-1845; and the Weston Havens Foundation (USA).

.10 The CMS Collaboration

\cmsinstskip

**Yerevan Physics Institute, Yerevan, Armenia

** A.M. Sirunyan${}^{\textrm{\textdagger}}$, A. Tumasyan \cmsinstskip**Institut für Hochenergiephysik, Wien, Austria

** W. Adam, F. Ambrogi, T. Bergauer, J. Brandstetter, M. Dragicevic, J. Erö, A. Escalante Del Valle, M. Flechl, R. Frühwirth\cmsAuthorMark1, M. Jeitler\cmsAuthorMark1, N. Krammer, I. Krätschmer, D. Liko, T. Madlener, I. Mikulec, N. Rad, J. Schieck\cmsAuthorMark1, R. Schöfbeck, M. Spanring, D. Spitzbart, W. Waltenberger, C.-E. Wulz\cmsAuthorMark1, M. Zarucki \cmsinstskip**Institute for Nuclear Problems, Minsk, Belarus

** V. Drugakov, V. Mossolov, J. Suarez Gonzalez \cmsinstskip**Universiteit Antwerpen, Antwerpen, Belgium

** M.R. Darwish, E.A. De Wolf, D. Di Croce, X. Janssen, J. Lauwers, A. Lelek, M. Pieters, H. Rejeb Sfar, H. Van Haevermaet, P. Van Mechelen, S. Van Putte, N. Van Remortel \cmsinstskip**Vrije Universiteit Brussel, Brussel, Belgium

** F. Blekman, E.S. Bols, S.S. Chhibra, J. D’Hondt, J. De Clercq, D. Lontkovskyi, S. Lowette, I. Marchesini, S. Moortgat, L. Moreels, Q. Python, K. Skovpen, S. Tavernier, W. Van Doninck, P. Van Mulders, I. Van Parijs \cmsinstskip**Université Libre de Bruxelles, Bruxelles, Belgium

** D. Beghin, B. Bilin, H. Brun, B. Clerbaux, G. De Lentdecker, H. Delannoy, B. Dorney, L. Favart, A. Grebenyuk, A.K. Kalsi, J. Luetic, A. Popov, N. Postiau, E. Starling, L. Thomas, C. Vander Velde, P. Vanlaer, D. Vannerom \cmsinstskip**Ghent University, Ghent, Belgium

** T. Cornelis, D. Dobur, I. Khvastunov\cmsAuthorMark2, M. Niedziela, C. Roskas, D. Trocino, M. Tytgat, W. Verbeke, B. Vermassen, M. Vit, N. Zaganidis \cmsinstskip**Université Catholique de Louvain, Louvain-la-Neuve, Belgium

** O. Bondu, G. Bruno, C. Caputo, P. David, C. Delaere, M. Delcourt, A. Giammanco, V. Lemaitre, A. Magitteri, J. Prisciandaro, A. Saggio, M. Vidal Marono, P. Vischia, J. Zobec \cmsinstskip**Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brazil

** F.L. Alves, G.A. Alves, G. Correia Silva, C. Hensel, A. Moraes, P. Rebello Teles \cmsinstskip**Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil

** E. Belchior Batista Das Chagas, W. Carvalho, J. Chinellato\cmsAuthorMark3, E. Coelho, E.M. Da Costa, G.G. Da Silveira\cmsAuthorMark4, D. De Jesus Damiao, C. De Oliveira Martins, S. Fonseca De Souza, L.M. Huertas Guativa, H. Malbouisson, J. Martins\cmsAuthorMark5, D. Matos Figueiredo, M. Medina Jaime\cmsAuthorMark6, M. Melo De Almeida, C. Mora Herrera, L. Mundim, H. Nogima, W.L. Prado Da Silva, L.J. Sanchez Rosas, A. Santoro, A. Sznajder, M. Thiel, E.J. Tonelli Manganote\cmsAuthorMark3, F. Torres Da Silva De Araujo, A. Vilela Pereira \cmsinstskip**Universidade Estadual Paulista a, Universidade Federal do ABC b, São Paulo, Brazil

** S. Ahujaa, C.A. Bernardesa, L. Calligarisa, T.R. Fernandez Perez Tomeia, E.M. Gregoresb, D.S. Lemos, P.G. Mercadanteb, S.F. Novaesa, SandraS. Padulaa \cmsinstskip**Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria

** A. Aleksandrov, G. Antchev, R. Hadjiiska, P. Iaydjiev, A. Marinov, M. Misheva, M. Rodozov, M. Shopova, G. Sultanov \cmsinstskip**University of Sofia, Sofia, Bulgaria

** M. Bonchev, A. Dimitrov, T. Ivanov, L. Litov, B. Pavlov, P. Petkov \cmsinstskip**Beihang University, Beijing, China

** W. Fang\cmsAuthorMark7, X. Gao\cmsAuthorMark7, L. Yuan \cmsinstskip**Institute of High Energy Physics, Beijing, China

** M. Ahmad, G.M. Chen, H.S. Chen, M. Chen, C.H. Jiang, D. Leggat, H. Liao, Z. Liu, S.M. Shaheen\cmsAuthorMark8, A. Spiezia, J. Tao, E. Yazgan, H. Zhang, S. Zhang\cmsAuthorMark8, J. Zhao \cmsinstskip**State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China

** A. Agapitos, Y. Ban, G. Chen, A. Levin, J. Li, L. Li, Q. Li, Y. Mao, S.J. Qian, D. Wang, Q. Wang \cmsinstskip**Tsinghua University, Beijing, China

** Z. Hu, Y. Wang \cmsinstskip**Universidad de Los Andes, Bogota, Colombia

** C. Avila, A. Cabrera, L.F. Chaparro Sierra, C. Florez, C.F. González Hernández, M.A. Segura Delgado \cmsinstskip**Universidad de Antioquia, Medellin, Colombia

** J. Mejia Guisao, J.D. Ruiz Alvarez, C.A. Salazar González, N. Vanegas Arbelaez \cmsinstskip**University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, Croatia

** D. Giljanović, N. Godinovic, D. Lelas, I. Puljak, T. Sculac \cmsinstskip**University of Split, Faculty of Science, Split, Croatia

** Z. Antunovic, M. Kovac \cmsinstskip**Institute Rudjer Boskovic, Zagreb, Croatia

** V. Brigljevic, S. Ceci, D. Ferencek, K. Kadija, B. Mesic, M. Roguljic, A. Starodumov\cmsAuthorMark9, T. Susa \cmsinstskip**University of Cyprus, Nicosia, Cyprus

** M.W. Ather, A. Attikis, E. Erodotou, A. Ioannou, M. Kolosova, S. Konstantinou, G. Mavromanolakis, J. Mousa, C. Nicolaou, F. Ptochos, P.A. Razis, H. Rykaczewski, D. Tsiakkouri \cmsinstskip**Charles University, Prague, Czech Republic

** M. Finger\cmsAuthorMark10, M. Finger Jr.\cmsAuthorMark10, A. Kveton, J. Tomsa \cmsinstskip**Escuela Politecnica Nacional, Quito, Ecuador

** E. Ayala \cmsinstskip**Universidad San Francisco de Quito, Quito, Ecuador

** E. Carrera Jarrin \cmsinstskip**Academy of Scientific Research and Technology of the Arab Republic of Egypt, Egyptian Network of High Energy Physics, Cairo, Egypt

** Y. Assran\cmsAuthorMark11*,*\cmsAuthorMark12, S. Elgammal\cmsAuthorMark12 \cmsinstskip**National Institute of Chemical Physics and Biophysics, Tallinn, Estonia

** S. Bhowmik, A. Carvalho Antunes De Oliveira, R.K. Dewanjee, K. Ehataht, M. Kadastik, M. Raidal, C. Veelken \cmsinstskip**Department of Physics, University of Helsinki, Helsinki, Finland

** P. Eerola, L. Forthomme, H. Kirschenmann, K. Osterberg, M. Voutilainen \cmsinstskip**Helsinki Institute of Physics, Helsinki, Finland

** F. Garcia, J. Havukainen, J.K. Heikkilä, T. Järvinen, V. Karimäki, R. Kinnunen, T. Lampén, K. Lassila-Perini, S. Laurila, S. Lehti, T. Lindén, P. Luukka, T. Mäenpää, H. Siikonen, E. Tuominen, J. Tuominiemi \cmsinstskip**Lappeenranta University of Technology, Lappeenranta, Finland

** T. Tuuva \cmsinstskip**IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France

** M. Besancon, F. Couderc, M. Dejardin, D. Denegri, B. Fabbro, J.L. Faure, F. Ferri, S. Ganjour, A. Givernaud, P. Gras, G. Hamel de Monchenault, P. Jarry, C. Leloup, E. Locci, J. Malcles, J. Rander, A. Rosowsky, M.Ö. Sahin, A. Savoy-Navarro\cmsAuthorMark13, M. Titov \cmsinstskip**Laboratoire Leprince-Ringuet, Ecole polytechnique, CNRS/IN2P3, Université Paris-Saclay, Palaiseau, France

** C. Amendola, F. Beaudette, P. Busson, C. Charlot, B. Diab, G. Falmagne, R. Granier de Cassagnac, I. Kucher, A. Lobanov, C. Martin Perez, M. Nguyen, C. Ochando, P. Paganini, J. Rembser, R. Salerno, J.B. Sauvan, Y. Sirois, A. Zabi, A. Zghiche \cmsinstskip**Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France

** J.-L. Agram\cmsAuthorMark14, J. Andrea, D. Bloch, G. Bourgatte, J.-M. Brom, E.C. Chabert, C. Collard, E. Conte\cmsAuthorMark14, J.-C. Fontaine\cmsAuthorMark14, D. Gelé, U. Goerlach, M. Jansová, A.-C. Le Bihan, N. Tonon, P. Van Hove \cmsinstskip**Centre de Calcul de l’Institut National de Physique Nucleaire et de Physique des Particules, CNRS/IN2P3, Villeurbanne, France

** S. Gadrat \cmsinstskip**Université de Lyon, Université Claude Bernard Lyon 1, CNRS-IN2P3, Institut de Physique Nucléaire de Lyon, Villeurbanne, France

** S. Beauceron, C. Bernet, G. Boudoul, C. Camen, N. Chanon, R. Chierici, D. Contardo, P. Depasse, H. El Mamouni, J. Fay, S. Gascon, M. Gouzevitch, B. Ille, Sa. Jain, F. Lagarde, I.B. Laktineh, H. Lattaud, M. Lethuillier, L. Mirabito, S. Perries, V. Sordini, G. Touquet, M. Vander Donckt, S. Viret \cmsinstskip**Georgian Technical University, Tbilisi, Georgia

** T. Toriashvili\cmsAuthorMark15 \cmsinstskip**Tbilisi State University, Tbilisi, Georgia

** Z. Tsamalaidze\cmsAuthorMark10 \cmsinstskip**RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany

** C. Autermann, L. Feld, M.K. Kiesel, K. Klein, M. Lipinski, D. Meuser, A. Pauls, M. Preuten, M.P. Rauch, C. Schomakers, J. Schulz, M. Teroerde, B. Wittmer \cmsinstskip**RWTH Aachen University, III. Physikalisches Institut A, Aachen, Germany

** A. Albert, M. Erdmann, S. Erdweg, T. Esch, B. Fischer, R. Fischer, S. Ghosh, T. Hebbeker, K. Hoepfner, H. Keller, L. Mastrolorenzo, M. Merschmeyer, A. Meyer, P. Millet, G. Mocellin, S. Mondal, S. Mukherjee, D. Noll, A. Novak, T. Pook, A. Pozdnyakov, T. Quast, M. Radziej, Y. Rath, H. Reithler, M. Rieger, J. Roemer, A. Schmidt, S.C. Schuler, A. Sharma, S. Thüer, S. Wiedenbeck \cmsinstskip**RWTH Aachen University, III. Physikalisches Institut B, Aachen, Germany

** G. Flügge, W. Haj Ahmad\cmsAuthorMark16, O. Hlushchenko, T. Kress, T. Müller, A. Nehrkorn, A. Nowack, C. Pistone, O. Pooth, D. Roy, H. Sert, A. Stahl\cmsAuthorMark17 \cmsinstskip**Deutsches Elektronen-Synchrotron, Hamburg, Germany

** M. Aldaya Martin, P. Asmuss, I. Babounikau, H. Bakhshiansohi, K. Beernaert, O. Behnke, U. Behrens, A. Bermúdez Martínez, D. Bertsche, A.A. Bin Anuar, K. Borras\cmsAuthorMark18, V. Botta, A. Campbell, A. Cardini, P. Connor, S. Consuegra Rodríguez, C. Contreras-Campana, V. Danilov, A. De Wit, M.M. Defranchis, C. Diez Pardos, D. Domínguez Damiani, G. Eckerlin, D. Eckstein, T. Eichhorn, A. Elwood, E. Eren, E. Gallo\cmsAuthorMark19, A. Geiser, J.M. Grados Luyando, A. Grohsjean, M. Guthoff, M. Haranko, A. Harb, A. Jafari, N.Z. Jomhari, H. Jung, A. Kasem\cmsAuthorMark18, M. Kasemann, H. Kaveh, J. Keaveney, C. Kleinwort, J. Knolle, D. Krücker, W. Lange, T. Lenz, J. Leonard, J. Lidrych, K. Lipka, W. Lohmann\cmsAuthorMark20, R. Mankel, I.-A. Melzer-Pellmann, A.B. Meyer, M. Meyer, M. Missiroli, G. Mittag, J. Mnich, A. Mussgiller, V. Myronenko, D. Pérez Adán, S.K. Pflitsch, D. Pitzl, A. Raspereza, A. Saibel, M. Savitskyi, V. Scheurer, P. Schütze, C. Schwanenberger, R. Shevchenko, A. Singh, H. Tholen, O. Turkot, A. Vagnerini, M. Van De Klundert, G.P. Van Onsem, R. Walsh, Y. Wen, K. Wichmann, C. Wissing, O. Zenaiev, R. Zlebcik \cmsinstskip**University of Hamburg, Hamburg, Germany

** R. Aggleton, S. Bein, L. Benato, A. Benecke, V. Blobel, T. Dreyer, A. Ebrahimi, A. Fröhlich, C. Garbers, E. Garutti, D. Gonzalez, P. Gunnellini, J. Haller, A. Hinzmann, A. Karavdina, G. Kasieczka, R. Klanner, R. Kogler, N. Kovalchuk, S. Kurz, V. Kutzner, J. Lange, T. Lange, A. Malara, D. Marconi, J. Multhaup, C.E.N. Niemeyer, D. Nowatschin, A. Perieanu, A. Reimers, O. Rieger, C. Scharf, P. Schleper, S. Schumann, J. Schwandt, J. Sonneveld, H. Stadie, G. Steinbrück, F.M. Stober, M. Stöver, B. Vormwald, I. Zoi \cmsinstskip**Karlsruher Institut fuer Technologie, Karlsruhe, Germany

** M. Akbiyik, C. Barth, M. Baselga, S. Baur, T. Berger, E. Butz, R. Caspart, T. Chwalek, W. De Boer, A. Dierlamm, K. El Morabit, N. Faltermann, M. Giffels, P. Goldenzweig, A. Gottmann, M.A. Harrendorf, F. Hartmann\cmsAuthorMark17, U. Husemann, M.A. Iqbal, S. Kudella, S. Mitra, M.U. Mozer, Th. Müller, M. Musich, A. Nürnberg, G. Quast, K. Rabbertz, M. Schröder, I. Shvetsov, H.J. Simonis, R. Ulrich, M. Weber, C. Wöhrmann, R. Wolf \cmsinstskip**Institute of Nuclear and Particle Physics (INPP), NCSR Demokritos, Aghia Paraskevi, Greece

** G. Anagnostou, P. Asenov, G. Daskalakis, T. Geralis, A. Kyriakis, D. Loukas, G. Paspalaki \cmsinstskip**National and Kapodistrian University of Athens, Athens, Greece

** M. Diamantopoulou, G. Karathanasis, P. Kontaxakis, A. Panagiotou, I. Papavergou, N. Saoulidou, A. Stakia, K. Theofilatos, K. Vellidis \cmsinstskip**National Technical University of Athens, Athens, Greece

** G. Bakas, K. Kousouris, I. Papakrivopoulos, G. Tsipolitis \cmsinstskip**University of Ioánnina, Ioánnina, Greece

** I. Evangelou, C. Foudas, P. Gianneios, P. Katsoulis, P. Kokkas, S. Mallios, K. Manitara, N. Manthos, I. Papadopoulos, J. Strologas, F.A. Triantis, D. Tsitsonis \cmsinstskip**MTA-ELTE Lendület CMS Particle and Nuclear Physics Group, Eötvös Loránd University, Budapest, Hungary

** M. Bartók\cmsAuthorMark21, M. Csanad, P. Major, K. Mandal, A. Mehta, M.I. Nagy, G. Pasztor, O. Surányi, G.I. Veres \cmsinstskip**Wigner Research Centre for Physics, Budapest, Hungary

** G. Bencze, C. Hajdu, D. Horvath\cmsAuthorMark22, F. Sikler, T.Á. Vámi, V. Veszpremi, G. Vesztergombi${}^{\textrm{\textdagger}}$ \cmsinstskip**Institute of Nuclear Research ATOMKI, Debrecen, Hungary

** N. Beni, S. Czellar, J. Karancsi\cmsAuthorMark21, A. Makovec, J. Molnar, Z. Szillasi \cmsinstskip**Institute of Physics, University of Debrecen, Debrecen, Hungary

** P. Raics, D. Teyssier, Z.L. Trocsanyi, B. Ujvari \cmsinstskip**Eszterhazy Karoly University, Karoly Robert Campus, Gyongyos, Hungary

** T. Csorgo, W.J. Metzger, F. Nemes, T. Novak \cmsinstskip**Indian Institute of Science (IISc), Bangalore, India

** S. Choudhury, J.R. Komaragiri, P.C. Tiwari \cmsinstskip**National Institute of Science Education and Research, HBNI, Bhubaneswar, India

** S. Bahinipati\cmsAuthorMark24, C. Kar, G. Kole, P. Mal, V.K. Muraleedharan Nair Bindhu, A. Nayak\cmsAuthorMark25, D.K. Sahoo\cmsAuthorMark24, S.K. Swain \cmsinstskip**Panjab University, Chandigarh, India

** S. Bansal, S.B. Beri, V. Bhatnagar, S. Chauhan, R. Chawla, N. Dhingra, R. Gupta, A. Kaur, M. Kaur, S. Kaur, P. Kumari, M. Lohan, M. Meena, K. Sandeep, S. Sharma, J.B. Singh, A.K. Virdi, G. Walia \cmsinstskip**University of Delhi, Delhi, India

** A. Bhardwaj, B.C. Choudhary, R.B. Garg, M. Gola, S. Keshri, Ashok Kumar, S. Malhotra, M. Naimuddin, P. Priyanka, K. Ranjan, Aashaq Shah, R. Sharma \cmsinstskip**Saha Institute of Nuclear Physics, HBNI, Kolkata, India

** R. Bhardwaj\cmsAuthorMark26, M. Bharti\cmsAuthorMark26, R. Bhattacharya, S. Bhattacharya, U. Bhawandeep\cmsAuthorMark26, D. Bhowmik, S. Dey, S. Dutta, S. Ghosh, M. Maity\cmsAuthorMark27, K. Mondal, S. Nandan, A. Purohit, P.K. Rout, G. Saha, S. Sarkar, T. Sarkar\cmsAuthorMark27, M. Sharan, B. Singh\cmsAuthorMark26, S. Thakur\cmsAuthorMark26 \cmsinstskip**Indian Institute of Technology Madras, Madras, India

** P.K. Behera, P. Kalbhor, A. Muhammad, P.R. Pujahari, A. Sharma, A.K. Sikdar \cmsinstskip**Bhabha Atomic Research Centre, Mumbai, India

** R. Chudasama, D. Dutta, V. Jha, V. Kumar, D.K. Mishra, P.K. Netrakanti, L.M. Pant, P. Shukla \cmsinstskip**Tata Institute of Fundamental Research-A, Mumbai, India

** T. Aziz, M.A. Bhat, S. Dugad, G.B. Mohanty, N. Sur, RavindraKumar Verma \cmsinstskip**Tata Institute of Fundamental Research-B, Mumbai, India

** S. Banerjee, S. Bhattacharya, S. Chatterjee, P. Das, M. Guchait, S. Karmakar, S. Kumar, G. Majumder, K. Mazumdar, N. Sahoo, S. Sawant \cmsinstskip**Indian Institute of Science Education and Research (IISER), Pune, India

** S. Chauhan, S. Dube, V. Hegde, A. Kapoor, K. Kothekar, S. Pandey, A. Rane, A. Rastogi, S. Sharma \cmsinstskip**Institute for Research in Fundamental Sciences (IPM), Tehran, Iran

** S. Chenarani\cmsAuthorMark28, E. Eskandari Tadavani, S.M. Etesami\cmsAuthorMark28, M. Khakzad, M. Mohammadi Najafabadi, M. Naseri, F. Rezaei Hosseinabadi \cmsinstskip**University College Dublin, Dublin, Ireland

** M. Felcini, M. Grunewald \cmsinstskip**INFN Sezione di Bari a, Università di Bari b, Politecnico di Bari c, Bari, Italy

** M. Abbresciaa**,b, R. Alya**,b,\cmsAuthorMark29, C. Calabriaa**,b, A. Colaleoa, D. Creanzaa**,c, L. Cristellaa**,b, N. De Filippisa**,c, M. De Palmaa**,b, A. Di Florioa**,b, L. Fiorea, A. Gelmia**,b, G. Iasellia**,c, M. Incea**,b, S. Lezkia**,b, G. Maggia**,c, M. Maggia, G. Minielloa**,b, S. Mya**,b, S. Nuzzoa**,b, A. Pompilia**,b, G. Pugliesea**,c, R. Radognaa, A. Ranieria, G. Selvaggia**,b, L. Silvestrisa, R. Vendittia, P. Verwilligena \cmsinstskip**INFN Sezione di Bologna a, Università di Bologna b, Bologna, Italy

** G. Abbiendia, C. Battilanaa**,b, D. Bonacorsia**,b, L. Borgonovia**,b, S. Braibant-Giacomellia**,b, R. Campaninia**,b, P. Capiluppia**,b, A. Castroa**,b, F.R. Cavalloa, C. Cioccaa, G. Codispotia**,b, M. Cuffiania**,b, G.M. Dallavallea, F. Fabbria, A. Fanfania**,b, E. Fontanesi, P. Giacomellia, C. Grandia, L. Guiduccia**,b, F. Iemmia**,b, S. Lo Meoa**,\cmsAuthorMark30, S. Marcellinia, G. Masettia, F.L. Navarriaa**,b, A. Perrottaa, F. Primaveraa**,b, A.M. Rossia**,b, T. Rovellia**,b, G.P. Sirolia**,b, N. Tosia \cmsinstskip**INFN Sezione di Catania a, Università di Catania b, Catania, Italy

** S. Albergoa**,b,\cmsAuthorMark31, S. Costaa**,b, A. Di Mattiaa, R. Potenzaa**,b, A. Tricomia**,b,\cmsAuthorMark31, C. Tuve*a**,*b \cmsinstskip**INFN Sezione di Firenze a, Università di Firenze b, Firenze, Italy

** G. Barbaglia, R. Ceccarelli, K. Chatterjeea**,b, V. Ciullia**,b, C. Civininia, R. D’Alessandroa**,b, E. Focardia**,b, G. Latino, P. Lenzia**,b, M. Meschinia, S. Paolettia, G. Sguazzonia, D. Stroma, L. Viliania \cmsinstskip**INFN Laboratori Nazionali di Frascati, Frascati, Italy

** L. Benussi, S. Bianco, D. Piccolo \cmsinstskip**INFN Sezione di Genova a, Università di Genova b, Genova, Italy

** M. Bozzoa**,b, F. Ferroa, R. Mulargiaa**,b, E. Robuttia, S. Tosi*a**,*b \cmsinstskip**INFN Sezione di Milano-Bicocca a, Università di Milano-Bicocca b, Milano, Italy

** A. Benagliaa, A. Beschia**,b, F. Brivioa**,b, V. Cirioloa**,b,\cmsAuthorMark17, S. Di Guidaa**,b,\cmsAuthorMark17, M.E. Dinardoa**,b, P. Dinia, S. Fiorendia**,b, S. Gennaia, A. Ghezzia**,b, P. Govonia**,b, L. Guzzia**,b, M. Malbertia, S. Malvezzia, D. Menascea, F. Montia**,b, L. Moronia, G. Ortonaa**,b, M. Paganonia**,b, D. Pedrinia, S. Ragazzi*a**,b, T. Tabarelli de Fatisa**,b, D. Zuoloa**,*b \cmsinstskip**INFN Sezione di Napoli a, Università di Napoli ’Federico II’ b, Napoli, Italy, Università della Basilicata c, Potenza, Italy, Università G. Marconi d, Roma, Italy

** S. Buontempoa, N. Cavalloa**,c, A. De Iorioa**,b, A. Di Crescenzoa**,b, F. Fabozzia**,c, F. Fiengaa, G. Galatia, A.O.M. Iorioa**,b, L. Listaa**,b, S. Meolaa**,d,\cmsAuthorMark17, P. Paoluccia**,\cmsAuthorMark17, B. Rossia, C. Sciacca*a**,b, E. Voevodinaa**,*b \cmsinstskip**INFN Sezione di Padova a, Università di Padova b, Padova, Italy, Università di Trento c, Trento, Italy

** P. Azzia, N. Bacchettaa, D. Biselloa**,b, A. Bolettia**,b, A. Bragagnolo, R. Carlina**,b, P. Checchiaa, P. De Castro Manzanoa, T. Dorigoa, U. Dossellia, F. Gasparinia**,b, U. Gasparinia**,b, A. Gozzelinoa, S.Y. Hoh, P. Lujan, M. Margonia**,b, A.T. Meneguzzoa**,b, J. Pazzinia**,b, M. Presillab, P. Ronchese*a**,b, R. Rossina**,b, F. Simonettoa**,b, A. Tiko, M. Tosia**,b, M. Zanettia**,b, P. Zottoa**,b, G. Zumerlea**,*b \cmsinstskip**INFN Sezione di Pavia a, Università di Pavia b, Pavia, Italy

** A. Braghieria, P. Montagnaa**,b, S.P. Rattia**,b, V. Rea, M. Ressegottia**,b, C. Riccardia**,b, P. Salvinia, I. Vai*a**,b, P. Vituloa**,*b \cmsinstskip**INFN Sezione di Perugia a, Università di Perugia b, Perugia, Italy

** M. Biasinia**,b, G.M. Bileia, C. Cecchia**,b, D. Ciangottinia**,b, L. Fanòa**,b, P. Laricciaa**,b, R. Leonardia**,b, E. Manonia, G. Mantovania**,b, V. Mariania**,b, M. Menichellia, A. Rossia**,b, A. Santocchiaa**,b, D. Spigaa \cmsinstskip**INFN Sezione di Pisa a, Università di Pisa b, Scuola Normale Superiore di Pisa c, Pisa, Italy

** K. Androsova, P. Azzurria, G. Bagliesia, V. Bertacchia**,c, L. Bianchinia, T. Boccalia, R. Castaldia, M.A. Cioccia**,b, R. Dell’Orsoa, G. Fedia, L. Gianninia**,c, A. Giassia, M.T. Grippoa, F. Ligabuea**,c, E. Mancaa**,c, G. Mandorlia**,c, A. Messineoa**,b, F. Pallaa, A. Rizzia**,b, G. Rolandi\cmsAuthorMark32, S. Roy Chowdhury, A. Scribanoa, P. Spagnoloa, R. Tenchinia, G. Tonellia**,b, N. Turini, A. Venturia, P.G. Verdinia \cmsinstskip**INFN Sezione di Roma a, Sapienza Università di Roma b, Rome, Italy

** F. Cavallaria, M. Cipriania**,b, D. Del Rea**,b, E. Di Marcoa**,b, M. Diemoza, E. Longoa**,b, B. Marzocchia**,b, P. Meridiania, G. Organtinia**,b, F. Pandolfia, R. Paramattia**,b, C. Quarantaa**,b, S. Rahatloua**,b, C. Rovellia, F. Santanastasio*a**,b, L. Soffia**,*b \cmsinstskip**INFN Sezione di Torino a, Università di Torino b, Torino, Italy, Università del Piemonte Orientale c, Novara, Italy

** N. Amapanea**,b, R. Arcidiaconoa**,c, S. Argiroa**,b, M. Arneodoa**,c, N. Bartosika, R. Bellana**,b, C. Biinoa, A. Cappatia**,b, N. Cartigliaa, S. Comettia, M. Costaa**,b, R. Covarellia**,b, N. Demariaa, B. Kiania**,b, C. Mariottia, S. Masellia, E. Migliorea**,b, V. Monacoa**,b, E. Monteila**,b, M. Montenoa, M.M. Obertinoa**,b, L. Pachera**,b, N. Pastronea, M. Pelliccionia, G.L. Pinna Angionia**,b, A. Romeroa**,b, M. Ruspaa**,c, R. Sacchia**,b, R. Salvaticoa**,b, V. Solaa, A. Solanoa**,b, D. Soldia**,b, A. Staianoa \cmsinstskip**INFN Sezione di Trieste a, Università di Trieste b, Trieste, Italy

** S. Belfortea, V. Candelisea**,b, M. Casarsaa, F. Cossuttia, A. Da Rolda**,b, G. Della Riccaa**,b, F. Vazzolera**,b, A. Zanettia \cmsinstskip**Kyungpook National University, Daegu, Korea

** B. Kim, D.H. Kim, G.N. Kim, M.S. Kim, J. Lee, S.W. Lee, C.S. Moon, Y.D. Oh, S.I. Pak, S. Sekmen, D.C. Son, Y.C. Yang \cmsinstskip**Chonnam National University, Institute for Universe and Elementary Particles, Kwangju, Korea

** H. Kim, D.H. Moon, G. Oh \cmsinstskip**Hanyang University, Seoul, Korea

** B. Francois, T.J. Kim, J. Park \cmsinstskip**Korea University, Seoul, Korea

** S. Cho, S. Choi, Y. Go, D. Gyun, S. Ha, B. Hong, K. Lee, K.S. Lee, J. Lim, J. Park, S.K. Park, Y. Roh \cmsinstskip**Kyung Hee University, Department of Physics

** J. Goh \cmsinstskip**Sejong University, Seoul, Korea

** H.S. Kim \cmsinstskip**Seoul National University, Seoul, Korea

** J. Almond, J.H. Bhyun, J. Choi, S. Jeon, J. Kim, J.S. Kim, H. Lee, K. Lee, S. Lee, K. Nam, M. Oh, S.B. Oh, B.C. Radburn-Smith, U.K. Yang, H.D. Yoo, I. Yoon, G.B. Yu \cmsinstskip**University of Seoul, Seoul, Korea

** D. Jeon, H. Kim, J.H. Kim, J.S.H. Lee, I.C. Park, I. Watson \cmsinstskip**Sungkyunkwan University, Suwon, Korea

** Y. Choi, C. Hwang, Y. Jeong, J. Lee, Y. Lee, I. Yu \cmsinstskip**Riga Technical University, Riga, Latvia

** V. Veckalns\cmsAuthorMark33 \cmsinstskip**Vilnius University, Vilnius, Lithuania

** V. Dudenas, A. Juodagalvis, G. Tamulaitis, J. Vaitkus \cmsinstskip**National Centre for Particle Physics, Universiti Malaya, Kuala Lumpur, Malaysia

** Z.A. Ibrahim, F. Mohamad Idris\cmsAuthorMark34, W.A.T. Wan Abdullah, M.N. Yusli, Z. Zolkapli \cmsinstskip**Universidad de Sonora (UNISON), Hermosillo, Mexico

** J.F. Benitez, A. Castaneda Hernandez, J.A. Murillo Quijada, L. Valencia Palomo \cmsinstskip**Centro de Investigacion y de Estudios Avanzados del IPN, Mexico City, Mexico

** H. Castilla-Valdez, E. De La Cruz-Burelo, I. Heredia-De La Cruz\cmsAuthorMark35, R. Lopez-Fernandez, A. Sanchez-Hernandez \cmsinstskip**Universidad Iberoamericana, Mexico City, Mexico

** S. Carrillo Moreno, C. Oropeza Barrera, M. Ramirez-Garcia, F. Vazquez Valencia \cmsinstskip**Benemerita Universidad Autonoma de Puebla, Puebla, Mexico

** J. Eysermans, I. Pedraza, H.A. Salazar Ibarguen, C. Uribe Estrada \cmsinstskip**Universidad Autónoma de San Luis Potosí, San Luis Potosí, Mexico

** A. Morelos Pineda \cmsinstskip**University of Montenegro, Podgorica, Montenegro

** N. Raicevic \cmsinstskip**University of Auckland, Auckland, New Zealand

** D. Krofcheck \cmsinstskip**University of Canterbury, Christchurch, New Zealand

** S. Bheesette, P.H. Butler \cmsinstskip**National Centre for Physics, Quaid-I-Azam University, Islamabad, Pakistan

** A. Ahmad, M. Ahmad, Q. Hassan, H.R. Hoorani, W.A. Khan, M.A. Shah, M. Shoaib, M. Waqas \cmsinstskip**AGH University of Science and Technology Faculty of Computer Science, Electronics and Telecommunications, Krakow, Poland

** V. Avati, L. Grzanka, M. Malawski \cmsinstskip**National Centre for Nuclear Research, Swierk, Poland

** H. Bialkowska, M. Bluj, B. Boimska, M. Górski, M. Kazana, M. Szleper, P. Zalewski \cmsinstskip**Institute of Experimental Physics, Faculty of Physics, University of Warsaw, Warsaw, Poland

** K. Bunkowski, A. Byszuk\cmsAuthorMark36, K. Doroba, A. Kalinowski, M. Konecki, J. Krolikowski, M. Misiura, M. Olszewski, A. Pyskir, M. Walczak \cmsinstskip**Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa, Portugal

** M. Araujo, P. Bargassa, D. Bastos, A. Di Francesco, P. Faccioli, B. Galinhas, M. Gallinaro, J. Hollar, N. Leonardo, J. Seixas, K. Shchelina, G. Strong, O. Toldaiev, J. Varela \cmsinstskip**Joint Institute for Nuclear Research, Dubna, Russia

** P. Bunin, M. Gavrilenko, I. Golutvin, I. Gorbunov, A. Kamenev, V. Karjavine, V. Korenkov, A. Lanev, A. Malakhov, V. Matveev\cmsAuthorMark37*,*\cmsAuthorMark38, V.V. Mitsyn, P. Moisenz, V. Palichik, V. Perelygin, M. Savina, S. Shmatov, S. Shulha, B.S. Yuldashev\cmsAuthorMark39, A. Zarubin, V. Zhiltsov \cmsinstskip**Petersburg Nuclear Physics Institute, Gatchina (St. Petersburg), Russia

** L. Chtchipounov, V. Golovtsov, Y. Ivanov, V. Kim\cmsAuthorMark40, E. Kuznetsova\cmsAuthorMark41, P. Levchenko, V. Murzin, V. Oreshkin, I. Smirnov, D. Sosnov, V. Sulimov, L. Uvarov, A. Vorobyev \cmsinstskip**Institute for Nuclear Research, Moscow, Russia

** Yu. Andreev, A. Dermenev, S. Gninenko, N. Golubev, A. Karneyeu, M. Kirsanov, N. Krasnikov, A. Pashenkov, D. Tlisov, A. Toropin \cmsinstskip**Institute for Theoretical and Experimental Physics named by A.I. Alikhanov of NRC ‘Kurchatov Institute’, Moscow, Russia

** V. Epshteyn, V. Gavrilov, N. Lychkovskaya, A. Nikitenko\cmsAuthorMark42, V. Popov, I. Pozdnyakov, G. Safronov, A. Spiridonov, A. Stepennov, M. Toms, E. Vlasov, A. Zhokin \cmsinstskip**Moscow Institute of Physics and Technology, Moscow, Russia

** T. Aushev \cmsinstskip**National Research Nuclear University ’Moscow Engineering Physics Institute’ (MEPhI), Moscow, Russia

** O. Bychkova, M. Danilov\cmsAuthorMark43, S. Polikarpov\cmsAuthorMark43, E. Tarkovskii, E. Zhemchugov \cmsinstskip**P.N. Lebedev Physical Institute, Moscow, Russia

** V. Andreev, M. Azarkin, I. Dremin, M. Kirakosyan, A. Terkulov \cmsinstskip**Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow, Russia

** A. Belyaev, E. Boos, M. Dubinin\cmsAuthorMark44, L. Dudko, A. Ershov, A. Gribushin, V. Klyukhin, O. Kodolova, I. Lokhtin, S. Obraztsov, S. Petrushanko, V. Savrin, A. Snigirev \cmsinstskip**Novosibirsk State University (NSU), Novosibirsk, Russia

** A. Barnyakov\cmsAuthorMark45, V. Blinov\cmsAuthorMark45, T. Dimova\cmsAuthorMark45, L. Kardapoltsev\cmsAuthorMark45, Y. Skovpen\cmsAuthorMark45 \cmsinstskip**Institute for High Energy Physics of National Research Centre ‘Kurchatov Institute’, Protvino, Russia

** I. Azhgirey, I. Bayshev, S. Bitioukov, V. Kachanov, D. Konstantinov, P. Mandrik, V. Petrov, R. Ryutin, S. Slabospitskii, A. Sobol, S. Troshin, N. Tyurin, A. Uzunian, A. Volkov \cmsinstskip**National Research Tomsk Polytechnic University, Tomsk, Russia

** A. Babaev, A. Iuzhakov, V. Okhotnikov \cmsinstskip**Tomsk State University, Tomsk, Russia

** V. Borchsh, V. Ivanchenko, E. Tcherniaev \cmsinstskip**University of Belgrade: Faculty of Physics and VINCA Institute of Nuclear Sciences

** P. Adzic\cmsAuthorMark46, P. Cirkovic, D. Devetak, M. Dordevic, P. Milenovic, J. Milosevic, M. Stojanovic \cmsinstskip**Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid, Spain

** M. Aguilar-Benitez, J. Alcaraz Maestre, A. Álvarez Fernández, I. Bachiller, M. Barrio Luna, J.A. Brochero Cifuentes, C.A. Carrillo Montoya, M. Cepeda, M. Cerrada, N. Colino, B. De La Cruz, A. Delgado Peris, C. Fernandez Bedoya, J.P. Fernández Ramos, J. Flix, M.C. Fouz, O. Gonzalez Lopez, S. Goy Lopez, J.M. Hernandez, M.I. Josa, D. Moran, Á. Navarro Tobar, A. Pérez-Calero Yzquierdo, J. Puerta Pelayo, I. Redondo, L. Romero, S. Sánchez Navas, M.S. Soares, A. Triossi, C. Willmott \cmsinstskip**Universidad Autónoma de Madrid, Madrid, Spain

** C. Albajar, J.F. de Trocóniz \cmsinstskip**Universidad de Oviedo, Instituto Universitario de Ciencias y Tecnologías Espaciales de Asturias (ICTEA)

** B. Alvarez Gonzalez, J. Cuevas, C. Erice, J. Fernandez Menendez, S. Folgueras, I. Gonzalez Caballero, J.R. González Fernández, E. Palencia Cortezon, V. Rodríguez Bouza, S. Sanchez Cruz \cmsinstskip**Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain

** I.J. Cabrillo, A. Calderon, B. Chazin Quero, J. Duarte Campderros, M. Fernandez, P.J. Fernández Manteca, A. García Alonso, G. Gomez, C. Martinez Rivero, P. Martinez Ruiz del Arbol, F. Matorras, J. Piedra Gomez, C. Prieels, T. Rodrigo, A. Ruiz-Jimeno, L. Russo\cmsAuthorMark47, L. Scodellaro, N. Trevisani, I. Vila, J.M. Vizan Garcia \cmsinstskip**University of Colombo, Colombo, Sri Lanka

** K. Malagalage \cmsinstskip**University of Ruhuna, Department of Physics, Matara, Sri Lanka

** W.G.D. Dharmaratna, N. Wickramage \cmsinstskip**CERN, European Organization for Nuclear Research, Geneva, Switzerland

** D. Abbaneo, B. Akgun, E. Auffray, G. Auzinger, J. Baechler, P. Baillon, A.H. Ball, D. Barney, J. Bendavid, M. Bianco, A. Bocci, P. Bortignon, E. Bossini, C. Botta, E. Brondolin, T. Camporesi, A. Caratelli, G. Cerminara, E. Chapon, G. Cucciati, D. d’Enterria, A. Dabrowski, N. Daci, V. Daponte, A. David, O. Davignon, A. De Roeck, N. Deelen, M. Deile, M. Dobson, M. Dünser, N. Dupont, A. Elliott-Peisert, F. Fallavollita\cmsAuthorMark48, D. Fasanella, G. Franzoni, J. Fulcher, W. Funk, S. Giani, D. Gigi, A. Gilbert, K. Gill, F. Glege, M. Gruchala, M. Guilbaud, D. Gulhan, J. Hegeman, C. Heidegger, Y. Iiyama, V. Innocente, P. Janot, O. Karacheban\cmsAuthorMark20, J. Kaspar, J. Kieseler, M. Krammer\cmsAuthorMark1, C. Lange, P. Lecoq, C. Lourenço, L. Malgeri, M. Mannelli, A. Massironi, F. Meijers, J.A. Merlin, S. Mersi, E. Meschi, F. Moortgat, M. Mulders, J. Ngadiuba, S. Nourbakhsh, S. Orfanelli, L. Orsini, F. Pantaleo\cmsAuthorMark17, L. Pape, E. Perez, M. Peruzzi, A. Petrilli, G. Petrucciani, A. Pfeiffer, M. Pierini, F.M. Pitters, D. Rabady, A. Racz, M. Rovere, H. Sakulin, C. Schäfer, C. Schwick, M. Selvaggi, A. Sharma, P. Silva, W. Snoeys, P. Sphicas\cmsAuthorMark49, J. Steggemann, V.R. Tavolaro, D. Treille, A. Tsirou, A. Vartak, M. Verzetti, W.D. Zeuner \cmsinstskip**Paul Scherrer Institut, Villigen, Switzerland

** L. Caminada\cmsAuthorMark50, K. Deiters, W. Erdmann, R. Horisberger, Q. Ingram, H.C. Kaestli, D. Kotlinski, U. Langenegger, T. Rohe, S.A. Wiederkehr \cmsinstskip**ETH Zurich - Institute for Particle Physics and Astrophysics (IPA), Zurich, Switzerland

** M. Backhaus, P. Berger, N. Chernyavskaya, G. Dissertori, M. Dittmar, M. Donegà, C. Dorfer, T.A. Gómez Espinosa, C. Grab, D. Hits, T. Klijnsma, W. Lustermann, R.A. Manzoni, M. Marionneau, M.T. Meinhard, F. Micheli, P. Musella, F. Nessi-Tedaldi, F. Pauss, G. Perrin, L. Perrozzi, S. Pigazzini, M.G. Ratti, M. Reichmann, C. Reissel, T. Reitenspiess, D. Ruini, D.A. Sanz Becerra, M. Schönenberger, L. Shchutska, M.L. Vesterbacka Olsson, R. Wallny, D.H. Zhu \cmsinstskip**Universität Zürich, Zurich, Switzerland

** T.K. Aarrestad, C. Amsler\cmsAuthorMark51, D. Brzhechko, M.F. Canelli, A. De Cosa, R. Del Burgo, S. Donato, B. Kilminster, S. Leontsinis, V.M. Mikuni, I. Neutelings, G. Rauco, P. Robmann, D. Salerno, K. Schweiger, C. Seitz, Y. Takahashi, S. Wertz, A. Zucchetta \cmsinstskip**National Central University, Chung-Li, Taiwan

** T.H. Doan, C.M. Kuo, W. Lin, A. Roy, S.S. Yu \cmsinstskip**National Taiwan University (NTU), Taipei, Taiwan

** P. Chang, Y. Chao, K.F. Chen, P.H. Chen, W.-S. Hou, Y.y. Li, R.-S. Lu, E. Paganis, A. Psallidas, A. Steen \cmsinstskip**Chulalongkorn University, Faculty of Science, Department of Physics, Bangkok, Thailand

** B. Asavapibhop, C. Asawatangtrakuldee, N. Srimanobhas, N. Suwonjandee \cmsinstskip**Çukurova University, Physics Department, Science and Art Faculty, Adana, Turkey

** A. Bat, F. Boran, S. Cerci\cmsAuthorMark52, S. Damarseckin\cmsAuthorMark53, Z.S. Demiroglu, F. Dolek, C. Dozen, I. Dumanoglu, G. Gokbulut, EmineGurpinar Guler\cmsAuthorMark54, Y. Guler, I. Hos\cmsAuthorMark55, C. Isik, E.E. Kangal\cmsAuthorMark56, O. Kara, A. Kayis Topaksu, U. Kiminsu, M. Oglakci, G. Onengut, K. Ozdemir\cmsAuthorMark57, S. Ozturk\cmsAuthorMark58, A.E. Simsek, D. Sunar Cerci\cmsAuthorMark52, U.G. Tok, S. Turkcapar, I.S. Zorbakir, C. Zorbilmez \cmsinstskip**Middle East Technical University, Physics Department, Ankara, Turkey

** B. Isildak\cmsAuthorMark59, G. Karapinar\cmsAuthorMark60, M. Yalvac \cmsinstskip**Bogazici University, Istanbul, Turkey

** I.O. Atakisi, E. Gülmez, M. Kaya\cmsAuthorMark61, O. Kaya\cmsAuthorMark62, B. Kaynak, Ö. Özçelik, S. Tekten, E.A. Yetkin\cmsAuthorMark63 \cmsinstskip**Istanbul Technical University, Istanbul, Turkey

** A. Cakir, Y. Komurcu, S. Sen\cmsAuthorMark64 \cmsinstskip**Istanbul University, Istanbul, Turkey

** S. Ozkorucuklu \cmsinstskip**Institute for Scintillation Materials of National Academy of Science of Ukraine, Kharkov, Ukraine

** B. Grynyov \cmsinstskip**National Scientific Center, Kharkov Institute of Physics and Technology, Kharkov, Ukraine

** L. Levchuk \cmsinstskip**University of Bristol, Bristol, United Kingdom

** F. Ball, E. Bhal, S. Bologna, J.J. Brooke, D. Burns, E. Clement, D. Cussans, H. Flacher, J. Goldstein, G.P. Heath, H.F. Heath, L. Kreczko, S. Paramesvaran, B. Penning, T. Sakuma, S. Seif El Nasr-Storey, D. Smith, V.J. Smith, J. Taylor, A. Titterton \cmsinstskip**Rutherford Appleton Laboratory, Didcot, United Kingdom

** K.W. Bell, A. Belyaev\cmsAuthorMark65, C. Brew, R.M. Brown, D. Cieri, D.J.A. Cockerill, J.A. Coughlan, K. Harder, S. Harper, J. Linacre, K. Manolopoulos, D.M. Newbold, E. Olaiya, D. Petyt, T. Reis, T. Schuh, C.H. Shepherd-Themistocleous, A. Thea, I.R. Tomalin, T. Williams, W.J. Womersley \cmsinstskip**Imperial College, London, United Kingdom

** R. Bainbridge, P. Bloch, J. Borg, S. Breeze, O. Buchmuller, A. Bundock, GurpreetSingh CHAHAL\cmsAuthorMark66, D. Colling, P. Dauncey, G. Davies, M. Della Negra, R. Di Maria, P. Everaerts, G. Hall, G. Iles, T. James, M. Komm, C. Laner, L. Lyons, A.-M. Magnan, S. Malik, A. Martelli, V. Milosevic, J. Nash\cmsAuthorMark67, V. Palladino, M. Pesaresi, D.M. Raymond, A. Richards, A. Rose, E. Scott, C. Seez, A. Shtipliyski, M. Stoye, T. Strebler, S. Summers, A. Tapper, K. Uchida, T. Virdee\cmsAuthorMark17, N. Wardle, D. Winterbottom, J. Wright, A.G. Zecchinelli, S.C. Zenz \cmsinstskip**Brunel University, Uxbridge, United Kingdom

** J.E. Cole, P.R. Hobson, A. Khan, P. Kyberd, C.K. Mackay, A. Morton, I.D. Reid, L. Teodorescu, S. Zahid \cmsinstskip**Baylor University, Waco, USA

** K. Call, J. Dittmann, K. Hatakeyama, C. Madrid, B. McMaster, N. Pastika, C. Smith \cmsinstskip**Catholic University of America, Washington, DC, USA

** R. Bartek, A. Dominguez, R. Uniyal \cmsinstskip**The University of Alabama, Tuscaloosa, USA

** A. Buccilli, S.I. Cooper, C. Henderson, P. Rumerio, C. West \cmsinstskip**Boston University, Boston, USA

** D. Arcaro, T. Bose, Z. Demiragli, D. Gastler, S. Girgis, D. Pinna, C. Richardson, J. Rohlf, D. Sperka, I. Suarez, L. Sulak, D. Zou \cmsinstskip**Brown University, Providence, USA

** G. Benelli, B. Burkle, X. Coubez, D. Cutts, Y.t. Duh, M. Hadley, J. Hakala, U. Heintz, J.M. Hogan\cmsAuthorMark68, K.H.M. Kwok, E. Laird, G. Landsberg, J. Lee, Z. Mao, M. Narain, S. Sagir\cmsAuthorMark69, R. Syarif, E. Usai, D. Yu \cmsinstskip**University of California, Davis, Davis, USA

** R. Band, C. Brainerd, R. Breedon, M. Calderon De La Barca Sanchez, M. Chertok, J. Conway, R. Conway, P.T. Cox, R. Erbacher, C. Flores, G. Funk, F. Jensen, W. Ko, O. Kukral, R. Lander, M. Mulhearn, D. Pellett, J. Pilot, M. Shi, D. Stolp, D. Taylor, K. Tos, M. Tripathi, Z. Wang, F. Zhang \cmsinstskip**University of California, Los Angeles, USA

** M. Bachtis, C. Bravo, R. Cousins, A. Dasgupta, A. Florent, J. Hauser, M. Ignatenko, N. Mccoll, W.A. Nash, S. Regnard, D. Saltzberg, C. Schnaible, B. Stone, V. Valuev \cmsinstskip**University of California, Riverside, Riverside, USA

** K. Burt, R. Clare, J.W. Gary, S.M.A. Ghiasi Shirazi, G. Hanson, G. Karapostoli, E. Kennedy, O.R. Long, M. Olmedo Negrete, M.I. Paneva, W. Si, L. Wang, H. Wei, S. Wimpenny, B.R. Yates, Y. Zhang \cmsinstskip**University of California, San Diego, La Jolla, USA

** J.G. Branson, P. Chang, S. Cittolin, M. Derdzinski, R. Gerosa, D. Gilbert, B. Hashemi, D. Klein, V. Krutelyov, J. Letts, M. Masciovecchio, S. May, S. Padhi, M. Pieri, V. Sharma, M. Tadel, F. Würthwein, A. Yagil, G. Zevi Della Porta \cmsinstskip**University of California, Santa Barbara - Department of Physics, Santa Barbara, USA

** N. Amin, R. Bhandari, C. Campagnari, M. Citron, V. Dutta, M. Franco Sevilla, L. Gouskos, J. Incandela, B. Marsh, H. Mei, A. Ovcharova, H. Qu, J. Richman, U. Sarica, D. Stuart, S. Wang, J. Yoo \cmsinstskip**California Institute of Technology, Pasadena, USA

** D. Anderson, A. Bornheim, O. Cerri, I. Dutta, J.M. Lawhorn, N. Lu, J. Mao, H.B. Newman, T.Q. Nguyen, J. Pata, M. Spiropulu, J.R. Vlimant, S. Xie, Z. Zhang, R.Y. Zhu \cmsinstskip**Carnegie Mellon University, Pittsburgh, USA

** M.B. Andrews, T. Ferguson, T. Mudholkar, M. Paulini, M. Sun, I. Vorobiev, M. Weinberg \cmsinstskip**University of Colorado Boulder, Boulder, USA

** J.P. Cumalat, W.T. Ford, A. Johnson, E. MacDonald, T. Mulholland, R. Patel, A. Perloff, K. Stenson, K.A. Ulmer, S.R. Wagner \cmsinstskip**Cornell University, Ithaca, USA

** J. Alexander, J. Chaves, Y. Cheng, J. Chu, A. Datta, A. Frankenthal, K. Mcdermott, N. Mirman, J.R. Patterson, D. Quach, A. Rinkevicius\cmsAuthorMark70, A. Ryd, S.M. Tan, Z. Tao, J. Thom, P. Wittich, M. Zientek \cmsinstskip**Fermi National Accelerator Laboratory, Batavia, USA

** S. Abdullin, M. Albrow, M. Alyari, G. Apollinari, A. Apresyan, A. Apyan, S. Banerjee, L.A.T. Bauerdick, A. Beretvas, J. Berryhill, P.C. Bhat, K. Burkett, J.N. Butler, A. Canepa, G.B. Cerati, H.W.K. Cheung, F. Chlebana, M. Cremonesi, J. Duarte, V.D. Elvira, J. Freeman, Z. Gecse, E. Gottschalk, L. Gray, D. Green, S. Grünendahl, O. Gutsche, AllisonReinsvold Hall, J. Hanlon, R.M. Harris, S. Hasegawa, R. Heller, J. Hirschauer, B. Jayatilaka, S. Jindariani, M. Johnson, U. Joshi, B. Klima, M.J. Kortelainen, B. Kreis, S. Lammel, J. Lewis, D. Lincoln, R. Lipton, M. Liu, T. Liu, J. Lykken, K. Maeshima, J.M. Marraffino, D. Mason, P. McBride, P. Merkel, S. Mrenna, S. Nahn, V. O’Dell, V. Papadimitriou, K. Pedro, C. Pena, G. Rakness, F. Ravera, L. Ristori, B. Schneider, E. Sexton-Kennedy, N. Smith, A. Soha, W.J. Spalding, L. Spiegel, S. Stoynev, J. Strait, N. Strobbe, L. Taylor, S. Tkaczyk, N.V. Tran, L. Uplegger, E.W. Vaandering, C. Vernieri, M. Verzocchi, R. Vidal, M. Wang, H.A. Weber \cmsinstskip**University of Florida, Gainesville, USA

** D. Acosta, P. Avery, D. Bourilkov, A. Brinkerhoff, L. Cadamuro, A. Carnes, V. Cherepanov, D. Curry, F. Errico, R.D. Field, S.V. Gleyzer, B.M. Joshi, M. Kim, J. Konigsberg, A. Korytov, K.H. Lo, P. Ma, K. Matchev, N. Menendez, G. Mitselmakher, D. Rosenzweig, K. Shi, J. Wang, S. Wang, X. Zuo \cmsinstskip**Florida International University, Miami, USA

** Y.R. Joshi \cmsinstskip**Florida State University, Tallahassee, USA

** T. Adams, A. Askew, S. Hagopian, V. Hagopian, K.F. Johnson, R. Khurana, T. Kolberg, G. Martinez, T. Perry, H. Prosper, C. Schiber, R. Yohay, J. Zhang \cmsinstskip**Florida Institute of Technology, Melbourne, USA

** M.M. Baarmand, V. Bhopatkar, M. Hohlmann, D. Noonan, M. Rahmani, M. Saunders, F. Yumiceva \cmsinstskip**University of Illinois at Chicago (UIC), Chicago, USA

** M.R. Adams, L. Apanasevich, D. Berry, R.R. Betts, R. Cavanaugh, X. Chen, S. Dittmer, O. Evdokimov, C.E. Gerber, D.A. Hangal, D.J. Hofman, K. Jung, C. Mills, T. Roy, M.B. Tonjes, N. Varelas, H. Wang, X. Wang, Z. Wu \cmsinstskip**The University of Iowa, Iowa City, USA

** M. Alhusseini, B. Bilki\cmsAuthorMark54, W. Clarida, K. Dilsiz\cmsAuthorMark71, S. Durgut, R.P. Gandrajula, M. Haytmyradov, V. Khristenko, O.K. Köseyan, J.-P. Merlo, A. Mestvirishvili\cmsAuthorMark72, A. Moeller, J. Nachtman, H. Ogul\cmsAuthorMark73, Y. Onel, F. Ozok\cmsAuthorMark74, A. Penzo, C. Snyder, E. Tiras, J. Wetzel \cmsinstskip**Johns Hopkins University, Baltimore, USA

** B. Blumenfeld, A. Cocoros, N. Eminizer, D. Fehling, L. Feng, A.V. Gritsan, W.T. Hung, P. Maksimovic, J. Roskes, M. Swartz, M. Xiao \cmsinstskip**The University of Kansas, Lawrence, USA

** C. Baldenegro Barrera, P. Baringer, A. Bean, S. Boren, J. Bowen, A. Bylinkin, T. Isidori, S. Khalil, J. King, G. Krintiras, A. Kropivnitskaya, C. Lindsey, D. Majumder, W. Mcbrayer, N. Minafra, M. Murray, C. Rogan, C. Royon, S. Sanders, E. Schmitz, J.D. Tapia Takaki, Q. Wang, J. Williams, G. Wilson \cmsinstskip**Kansas State University, Manhattan, USA

** S. Duric, A. Ivanov, K. Kaadze, D. Kim, Y. Maravin, D.R. Mendis, T. Mitchell, A. Modak, A. Mohammadi \cmsinstskip**Lawrence Livermore National Laboratory, Livermore, USA

** F. Rebassoo, D. Wright \cmsinstskip**University of Maryland, College Park, USA

** A. Baden, O. Baron, A. Belloni, S.C. Eno, Y. Feng, N.J. Hadley, S. Jabeen, G.Y. Jeng, R.G. Kellogg, J. Kunkle, A.C. Mignerey, S. Nabili, F. Ricci-Tam, M. Seidel, Y.H. Shin, A. Skuja, S.C. Tonwar, K. Wong \cmsinstskip**Massachusetts Institute of Technology, Cambridge, USA

** D. Abercrombie, B. Allen, A. Baty, R. Bi, S. Brandt, W. Busza, I.A. Cali, M. D’Alfonso, G. Gomez Ceballos, M. Goncharov, P. Harris, D. Hsu, M. Hu, M. Klute, D. Kovalskyi, Y.-J. Lee, P.D. Luckey, B. Maier, A.C. Marini, C. Mcginn, C. Mironov, S. Narayanan, X. Niu, C. Paus, D. Rankin, C. Roland, G. Roland, Z. Shi, G.S.F. Stephans, K. Sumorok, K. Tatar, D. Velicanu, J. Wang, T.W. Wang, B. Wyslouch \cmsinstskip**University of Minnesota, Minneapolis, USA

** A.C. Benvenuti${}^{\textrm{\textdagger}}$, R.M. Chatterjee, A. Evans, S. Guts, P. Hansen, J. Hiltbrand, S. Kalafut, Y. Kubota, Z. Lesko, J. Mans, R. Rusack, M.A. Wadud \cmsinstskip**University of Mississippi, Oxford, USA

** J.G. Acosta, S. Oliveros \cmsinstskip**University of Nebraska-Lincoln, Lincoln, USA

** K. Bloom, D.R. Claes, C. Fangmeier, L. Finco, F. Golf, R. Gonzalez Suarez, R. Kamalieddin, I. Kravchenko, J.E. Siado, G.R. Snow, B. Stieger \cmsinstskip**State University of New York at Buffalo, Buffalo, USA

** G. Agarwal, C. Harrington, I. Iashvili, A. Kharchilava, C. McLean, D. Nguyen, A. Parker, J. Pekkanen, S. Rappoccio, B. Roozbahani \cmsinstskip**Northeastern University, Boston, USA

** G. Alverson, E. Barberis, C. Freer, Y. Haddad, A. Hortiangtham, G. Madigan, D.M. Morse, T. Orimoto, L. Skinnari, A. Tishelman-Charny, T. Wamorkar, B. Wang, A. Wisecarver, D. Wood \cmsinstskip**Northwestern University, Evanston, USA

** S. Bhattacharya, J. Bueghly, T. Gunter, K.A. Hahn, N. Odell, M.H. Schmitt, K. Sung, M. Trovato, M. Velasco \cmsinstskip**University of Notre Dame, Notre Dame, USA

** R. Bucci, N. Dev, R. Goldouzian, M. Hildreth, K. Hurtado Anampa, C. Jessop, D.J. Karmgard, K. Lannon, W. Li, N. Loukas, N. Marinelli, I. Mcalister, F. Meng, C. Mueller, Y. Musienko\cmsAuthorMark37, M. Planer, R. Ruchti, P. Siddireddy, G. Smith, S. Taroni, M. Wayne, A. Wightman, M. Wolf, A. Woodard \cmsinstskip**The Ohio State University, Columbus, USA

** J. Alimena, B. Bylsma, L.S. Durkin, S. Flowers, B. Francis, C. Hill, W. Ji, A. Lefeld, T.Y. Ling, B.L. Winer \cmsinstskip**Princeton University, Princeton, USA

** S. Cooperstein, G. Dezoort, P. Elmer, J. Hardenbrook, N. Haubrich, S. Higginbotham, A. Kalogeropoulos, S. Kwan, D. Lange, M.T. Lucchini, J. Luo, D. Marlow, K. Mei, I. Ojalvo, J. Olsen, C. Palmer, P. Piroué, J. Salfeld-Nebgen, D. Stickland, C. Tully, Z. Wang \cmsinstskip**University of Puerto Rico, Mayaguez, USA

** S. Malik, S. Norberg \cmsinstskip**Purdue University, West Lafayette, USA

** A. Barker, V.E. Barnes, S. Das, L. Gutay, M. Jones, A.W. Jung, A. Khatiwada, B. Mahakud, D.H. Miller, G. Negro, N. Neumeister, C.C. Peng, S. Piperov, H. Qiu, J.F. Schulte, J. Sun, F. Wang, R. Xiao, W. Xie \cmsinstskip**Purdue University Northwest, Hammond, USA

** T. Cheng, J. Dolen, N. Parashar \cmsinstskip**Rice University, Houston, USA

** K.M. Ecklund, S. Freed, F.J.M. Geurts, M. Kilpatrick, Arun Kumar, W. Li, B.P. Padley, R. Redjimi, J. Roberts, J. Rorie, W. Shi, A.G. Stahl Leiton, Z. Tu, A. Zhang \cmsinstskip**University of Rochester, Rochester, USA

** A. Bodek, P. de Barbaro, R. Demina, J.L. Dulemba, C. Fallon, T. Ferbel, M. Galanti, A. Garcia-Bellido, J. Han, O. Hindrichs, A. Khukhunaishvili, E. Ranken, P. Tan, R. Taus \cmsinstskip**Rutgers, The State University of New Jersey, Piscataway, USA

** B. Chiarito, J.P. Chou, A. Gandrakota, Y. Gershtein, E. Halkiadakis, A. Hart, M. Heindl, E. Hughes, S. Kaplan, S. Kyriacou, I. Laflotte, A. Lath, R. Montalvo, K. Nash, M. Osherson, H. Saka, S. Salur, S. Schnetzer, D. Sheffield, S. Somalwar, R. Stone, S. Thomas, P. Thomassen \cmsinstskip**University of Tennessee, Knoxville, USA

** H. Acharya, A.G. Delannoy, J. Heideman, G. Riley, S. Spanier \cmsinstskip**Texas A&M University, College Station, USA

** O. Bouhali\cmsAuthorMark75, A. Celik, M. Dalchenko, M. De Mattia, A. Delgado, S. Dildick, R. Eusebi, J. Gilmore, T. Huang, T. Kamon\cmsAuthorMark76, S. Luo, D. Marley, R. Mueller, D. Overton, L. Perniè, D. Rathjens, A. Safonov \cmsinstskip**Texas Tech University, Lubbock, USA

** N. Akchurin, J. Damgov, F. De Guio, S. Kunori, K. Lamichhane, S.W. Lee, T. Mengke, S. Muthumuni, T. Peltola, S. Undleeb, I. Volobouev, Z. Wang, A. Whitbeck \cmsinstskip**Vanderbilt University, Nashville, USA

** S. Greene, A. Gurrola, R. Janjam, W. Johns, C. Maguire, A. Melo, H. Ni, K. Padeken, F. Romeo, P. Sheldon, S. Tuo, J. Velkovska, M. Verweij \cmsinstskip**University of Virginia, Charlottesville, USA

** M.W. Arenton, P. Barria, B. Cox, G. Cummings, R. Hirosky, M. Joyce, A. Ledovskoy, C. Neu, B. Tannenwald, Y. Wang, E. Wolfe, F. Xia \cmsinstskip**Wayne State University, Detroit, USA

** R. Harr, P.E. Karchin, N. Poudyal, J. Sturdy, P. Thapa, S. Zaleski \cmsinstskip**University of Wisconsin - Madison, Madison, WI, USA

** J. Buchanan, C. Caillol, D. Carlsmith, S. Dasu, I. De Bruyn, L. Dodd, F. Fiori, C. Galloni, B. Gomber\cmsAuthorMark77, H. He, M. Herndon, A. Hervé, U. Hussain, P. Klabbers, A. Lanaro, A. Loeliger, K. Long, R. Loveless, J. Madhusudanan Sreekala, T. Ruggles, A. Savin, V. Sharma, W.H. Smith, D. Teague, S. Trembath-reichert, N. Woods \cmsinstskip†: Deceased

1: Also at Vienna University of Technology, Vienna, Austria

2: Also at IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France

3: Also at Universidade Estadual de Campinas, Campinas, Brazil

4: Also at Federal University of Rio Grande do Sul, Porto Alegre, Brazil

5: Also at UFMS/CPNA, Federal University of Mato Grosso do Sul/Campus of Nova Andradina, Nova Andradina, Brazil

6: Also at Universidade Federal de Pelotas, Pelotas, Brazil

7: Also at Université Libre de Bruxelles, Bruxelles, Belgium

8: Also at University of Chinese Academy of Sciences, Beijing, China

9: Also at Institute for Theoretical and Experimental Physics named by A.I. Alikhanov of NRC ‘Kurchatov Institute’, Moscow, Russia

10: Also at Joint Institute for Nuclear Research, Dubna, Russia

11: Also at Suez University, Suez, Egypt

12: Now at British University in Egypt, Cairo, Egypt

13: Also at Purdue University, West Lafayette, USA

14: Also at Université de Haute Alsace, Mulhouse, France

15: Also at Tbilisi State University, Tbilisi, Georgia

16: Also at Erzincan Binali Yildirim University, Erzincan, Turkey

17: Also at CERN, European Organization for Nuclear Research, Geneva, Switzerland

18: Also at RWTH Aachen University, III. Physikalisches Institut A, Aachen, Germany

19: Also at University of Hamburg, Hamburg, Germany

20: Also at Brandenburg University of Technology, Cottbus, Germany

21: Also at Institute of Physics, University of Debrecen, Debrecen, Hungary

22: Also at Institute of Nuclear Research ATOMKI, Debrecen, Hungary

23: Also at MTA-ELTE Lendület CMS Particle and Nuclear Physics Group, Eötvös Loránd University, Budapest, Hungary

24: Also at Indian Institute of Technology Bhubaneswar, Bhubaneswar, India

25: Also at Institute of Physics, Bhubaneswar, India

26: Also at Shoolini University, Solan, India

27: Also at University of Visva-Bharati, Santiniketan, India

28: Also at Isfahan University of Technology, Isfahan, Iran

29: Now at INFN Sezione di Bari a, Università di Bari b, Politecnico di Bari c, Bari, Italy

30: Also at Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Bologna, Italy

31: Also at Centro Siciliano di Fisica Nucleare e di Struttura della Materia, Catania, Italy

32: Also at Scuola Normale e Sezione dell’INFN, Pisa, Italy

33: Also at Riga Technical University, Riga, Latvia

34: Also at Malaysian Nuclear Agency, MOSTI, Kajang, Malaysia

35: Also at Consejo Nacional de Ciencia y Tecnología, Mexico City, Mexico

36: Also at Warsaw University of Technology, Institute of Electronic Systems, Warsaw, Poland

37: Also at Institute for Nuclear Research, Moscow, Russia

38: Now at National Research Nuclear University ’Moscow Engineering Physics Institute’ (MEPhI), Moscow, Russia

39: Also at Institute of Nuclear Physics of the Uzbekistan Academy of Sciences, Tashkent, Uzbekistan

40: Also at St. Petersburg State Polytechnical University, St. Petersburg, Russia

41: Also at University of Florida, Gainesville, USA

42: Also at Imperial College, London, United Kingdom

43: Also at P.N. Lebedev Physical Institute, Moscow, Russia

44: Also at California Institute of Technology, Pasadena, USA

45: Also at Budker Institute of Nuclear Physics, Novosibirsk, Russia

46: Also at Faculty of Physics, University of Belgrade, Belgrade, Serbia

47: Also at Università degli Studi di Siena, Siena, Italy

48: Also at INFN Sezione di Pavia a, Università di Pavia b, Pavia, Italy

49: Also at National and Kapodistrian University of Athens, Athens, Greece

50: Also at Universität Zürich, Zurich, Switzerland

51: Also at Stefan Meyer Institute for Subatomic Physics (SMI), Vienna, Austria

52: Also at Adiyaman University, Adiyaman, Turkey

53: Also at Sirnak University, Şırnak, Turkey

54: Also at Beykent University, Istanbul, Turkey

55: Also at Istanbul Aydin University, Istanbul, Turkey

56: Also at Mersin University, Mersin, Turkey

57: Also at Piri Reis University, Istanbul, Turkey

58: Also at Gaziosmanpasa University, Tokat, Turkey

59: Also at Ozyegin University, Istanbul, Turkey

60: Also at Izmir Institute of Technology, Izmir, Turkey

61: Also at Marmara University, Istanbul, Turkey

62: Also at Kafkas University, Kars, Turkey

63: Also at Istanbul Bilgi University, Istanbul, Turkey

64: Also at Hacettepe University, Ankara, Turkey

65: Also at School of Physics and Astronomy, University of Southampton, Southampton, United Kingdom

66: Also at Institute for Particle Physics Phenomenology Durham University, Durham, United Kingdom

67: Also at Monash University, Faculty of Science, Clayton, Australia

68: Also at Bethel University, St. Paul, USA

69: Also at Karamanoğlu Mehmetbey University, Karaman, Turkey

70: Also at Vilnius University, Vilnius, Lithuania

71: Also at Bingol University, Bingol, Turkey

72: Also at Georgian Technical University, Tbilisi, Georgia

73: Also at Sinop University, Sinop, Turkey

74: Also at Mimar Sinan University, Istanbul, Istanbul, Turkey

75: Also at Texas A&M University at Qatar, Doha, Qatar

76: Also at Kyungpook National University, Daegu, Korea

77: Also at University of Hyderabad, Hyderabad, India