Search for pair production of vector-like T and B quarks in single-lepton final states using boosted jet substructure in proton-proton collisions at sqrt(s) = 13 TeV

TL;DR

This paper reports a search for vector-like T and B quarks in proton-proton collisions at 13 TeV, using boosted jet substructure techniques to identify decay products, setting new mass exclusion limits up to around 860 GeV.

Contribution

It introduces advanced boosted jet substructure methods for detecting heavy vector-like quarks in single-lepton final states at the LHC.

Findings

No excess over standard model background observed.

Excluded T quark masses below 860 GeV in certain scenarios.

Excluded B quark masses up to 730 GeV.

Abstract

A search for pair production of massive vector-like T and B quarks in proton-proton collisions at sqrt(s) = 13 TeV is presented. The data set was collected in 2015 by the CMS experiment at the LHC and corresponds to an integrated luminosity of up to 2.6 inverse femtobarns. The T and B quarks are assumed to decay through three possible channels into a heavy boson (either a W, Z or Higgs boson) and a third generation quark. This search is performed in final states with one charged lepton and several jets, exploiting techniques to identify W or Higgs bosons decaying hadronically with large transverse momenta. No excess over the predicted standard model background is observed. Upper limits at 95% confidence level on the T quark pair production cross section are set that exclude T quark masses below 860 GeV in the singlet, and below 830 GeV in the doublet branching fraction scenario. For other branching fraction combinations with B(tH) + B(bW) >= 0.4, lower limits on the T quark range from 790 to 940 GeV. Limits are also set on pair production of singlet vector-like B quarks, which can be excluded up to a mass of 730 GeV. These limits are among the most stringent to date for vector-like T quarks. The techniques showcased here for understanding highly-boosted final states are important as the sensitivity to new particles is extended to higher masses.

Equations

$$R_I=\frac{10\text{GeV}}{\min (\max (\text{pt},50\text{GeV}),200\text{GeV})}.$$

$${\tau }_N=\frac{1}{R_0{\sum }_k{p}_{\mathrm{T},k}}\sum _k{p}_{\mathrm{T},k}\min (\Delta R_{1,k},\Delta R_{2,k},\dots ,\Delta R_{N,k}).$$

Full text

0.1 Introduction

The discovery of a light mass Higgs boson (H) [1, 2, 3] motivates searches for new interactions and particles at the LHC [4]. Cancellation of the loop corrections to the Higgs boson mass without precise fine tuning of parameters requires new particles at the TeV scale. Such new particles are the bosonic partners of the top quark, in supersymmetric models, or the fermionic top quark partners predicted by many other theories, such as little Higgs [5, 6] and composite Higgs [7, 8, 9, 10] models. These heavy quark partners predominantly mix with the third-generation quarks of the standard model (SM) [11, 12] and have vector-like transformation properties under the SM gauge group $\mathrm{SU(2)_{L}\times U(1)_{Y}\times SU(3)_{C}}$, hence the term “vector-like quarks” (VLQ). While a chiral extension of the SM quark family has been strongly disfavored by precision electroweak studies at electron-positron colliders [13, 14] and by observed production cross sections and branching fractions of the Higgs boson [15], models with VLQs are not excluded by present data.

We search for a vector-like T quark with charge 2/3 (in units of the electron charge) that is produced via the strong interaction in proton-proton collisions along with its antiquark, $\overline{\cmsSymbolFace{T}}$. Many models in which VLQs appear assume that T quarks decay to three final states: bW, tZ, or tH [16]. Leading-order Feynman diagrams of these three processes are shown in Fig. 1, created with the tools of Ref. [17]. The partial decay widths depend on the particular model [18], so that the branching fractions of these decay modes can take on various possible values, with the sum of all three branching fractions equal to unity. An electroweak isospin singlet T quark is expected to have a branching fraction of approximately 50% for $\cmsSymbolFace{T}\to\PQb\PW$, and 25% for each of $\cmsSymbolFace{T}\to\PQt\Z$ and tH, and is used as a benchmark for figures and tables. A T quark in a weak isospin doublet has no decays to bW and equal branching fractions for tZ and tH decays [19, 18, 20]. As these are, however, not the only possible representations of T quarks, the final results are interpreted for many allowed branching fraction combinations.

Though this search is optimized for $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ production, decays of vector-like bottom quark partners (B quarks) can produce similar topologies and $\cmsSymbolFace{B}\overline{\cmsSymbolFace{B}}$ production is also considered. The B quark with charge $-1/3$ is expected to decay to tW, bH, or bZ and can also transform either as a singlet or doublet under the electroweak symmetry group. The respective branching fractions are equal to those of the corresponding T quark decays to the same SM bosons. For this search we assume that only one new particle is present, either the T or B quark.

Most recently, searches for pair-produced T and B quarks were performed by both the ATLAS and CMS collaborations at $\sqrt{s}=8$\TeV [21, 22, 23, 24, 25, 26]. Depending on the assumed combination of branching fractions to the three decay modes, the CMS collaboration observed lower limits on the T quark mass with values ranging from 720 to 920\GeVand on the B quark mass with values ranging from 740 to 900\GeVat 95% confidence level (CL) [21, 25]. The ATLAS collaboration found similar lower mass limits, so that vector-like T and B quarks with masses below 720\GeVare already excluded for all possible branching fraction combinations. We therefore only consider VLQ masses above 700\GeVin this search. The ATLAS collaboration has also searched for pair production of T and B quarks at $\sqrt{s}=13$\TeV [27, 28].

We require one electron or one muon in the final state, along with several jets. All decay modes of the T and B quarks produce t quarks and/or W bosons, which are the dominant sources of leptons. In the high mass region that we consider, the decay products can have a large Lorentz boost and result in highly collinear final state particles. This search makes use of techniques to identify b quark jets and reconstruct hadronic decays of massive particles that are highly Lorentz-boosted in the reference frame of the $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ system. The data are analyzed in two channels that are optimized for sensitivity to either boosted W or Higgs bosons, referred to as the “boosted W” and “boosted H” channels. The boosted W channel is most sensitive to scenarios where the T quark has a large branching fraction for bW decays (such as the electroweak singlet benchmark) while the boosted H channel has the highest sensitivity to scenarios with a large branching fraction to tH (such as the electroweak doublet benchmark). The $\cmsSymbolFace{T}\to\PQt\Z$ decay mode is not a particular target of this search, but Lorentz-boosted Z bosons decaying hadronically can be selected in either channel since the signatures are similar to those of boosted hadronic W or Higgs boson decays, thus providing some sensitivity to the tZ decay mode.

0.2 The CMS detector and event reconstruction

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 ($\eta$) [29] coverage provided by the barrel and endcap detectors. Muons are measured in gas-ionization detectors embedded in the steel flux-return yoke outside the solenoid.

A particle-flow (PF) algorithm [30] is used 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 directly obtained from the ECAL measurement, corrected for zero-suppression effects. 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 resolution for electrons with transverse momentum $\pt\approx 45$\GeVfrom $\Z\to\Pep\Pem$ decays ranges from 1.7% for low-bremsstrahlung electrons in the barrel region to 4.5% for showering electrons in the endcaps [31]. The energy of muons is obtained from the curvature of the corresponding track. Matching muons to tracks measured in the silicon tracker results in a relative transverse momentum resolution for muons with $20<\pt<100\GeV$ of 1.3–2.0% in the barrel and better than 6% in the endcaps. The \ptresolution in the barrel is better than 10% for muons with \ptup to 1\TeV [32]. The energy of charged hadrons is determined from a combination of their momenta measured in the tracker and the matching ECAL and HCAL energy deposits, corrected for zero-suppression effects and for the response function of the calorimeters to hadronic showers. Finally, the energy of neutral hadrons is obtained from the corresponding corrected ECAL and HCAL energy.

Jets are reconstructed from the individual particles produced by the PF event algorithm, clustered using the anti-\ktalgorithm [33, 34] with distance parameters of 0.4 (“AK4 jets”) or 0.8 (“AK8 jets”). Jet momentum is defined as the vectorial sum of all particle momenta in the jet, and is found from simulation to be within 5 to 10% of the true momentum over the whole \ptspectrum and detector acceptance. All jets are required to have $\abs{\eta}<2.5$ and AK4 (AK8) jets must have $\pt>30\,(200)\GeV$. An offset correction is applied to jet energies to take into account the contribution from additional proton-proton interactions within the same or nearby bunch crossings (pileup) [35]. Jet energy corrections are derived from simulation, and are confirmed with in situ measurements of the energy balance in dijet and photon/$\Z(\to\Pe\Pe/\mu\mu)$ + jet events [36]. A smearing of the jet energy is applied to simulated events to mimic the energy resolution observed in data, typically 15% at 10\GeV, 8% at 100\GeV, and 4% at 1\TeV. Additional selection criteria are applied to each event to remove spurious jet-like features originating from isolated noise patterns in the HCAL [37], anomalously high energy deposits in certain regions of the ECAL, and cosmic ray and beam halo particles that are detected in the muon chambers.

The missing transverse momentum vector is defined as the projection on the plane perpendicular to the beams of the negative vector sum of the momenta of all reconstructed particles in an event. Its magnitude is referred to as \ETmiss. The energy scale corrections applied to jets are propagated to \ETmiss.

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. [29].

0.3 Data and simulated samples

The data used in this analysis were collected during 2015 when the LHC collided protons at $\sqrt{s}=13$\TeVwith a bunch spacing of 25\unitns. The data set for the boosted W channel corresponds to an integrated luminosity of 2.3\fbinv. The data set for the boosted H channel in the electron (muon) channel corresponds to 2.5 (2.6)\fbinvand includes additional data collected with poor forward calorimeter performance where the \METhas been re-computed excluding the affected region of the detector.

To compare the SM expectation with the experimental data, samples of events for all relevant SM background processes and the $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ signal are produced using Monte Carlo (MC) simulation. Background processes are simulated using several matrix element generators. The \POWHEG v2 generator [38, 39, 40, 41] is used to simulate \ttbarevents, as well as single top quark events in the tW channel at next-to-leading order (NLO). The \MGvATNLO2.2.2 generator [42] is used for generation at NLO of Drell–Yan + jets and \ttbar+ W events, as well as \ttbar+ Z events, and $s$- and $t$-channel production of single top quarks. The FxFx scheme [43] for merging matrix element generation to the parton shower is used. The \MADGRAPHv5.2.2.2 generator is used with the MLM scheme [44] to generate W + jets, Drell–Yan + jets, and multijet events at leading order. \PYTHIA 8.212 [45, 46] is used for the simulation of multijet and diboson events.

The boosted W channel uses the NLO Drell–Yan + jets simulation and the \MADGRAPHmultijet simulation. The boosted H channel uses the \MADGRAPHDrell–Yan + jets simulation, and the \PYTHIAmultijet simulation which is filtered for processes likely to pass the lepton selection in this channel. Background samples are grouped into three categories for presentation: “TOP”, dominated by \ttbarand including single top quark and \ttbar+ W/Z samples; “EW”, dominated by W + jets and including Drell–Yan + jets and diboson samples; and “QCD”, including multijet samples.

Signal samples for both $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ and $\cmsSymbolFace{B}\overline{\cmsSymbolFace{B}}$ production are simulated using \MADGRAPHfor mass points between 700 and 1800\GeVin steps of 100\GeV. A narrow width of 10\GeVis assumed for the vector-like quarks. Predicted cross sections, which depend only on the vector-like quark mass, are computed at next-to-next-to-leading order (NNLO) with the Top++2.0 program [47, 48, 49, 50, 51, 52] and are listed in Table 0.3.

Parton showering and the underlying event for all simulated samples are obtained with \PYTHIAusing the CUETP8M1 tune [53, 54]. To simulate the momentum spectrum of partons inside the colliding protons, the NNPDF3.0 [55] parton distribution functions (PDFs) are used. Detector simulation for all MC samples is performed with \GEANTfour [56] and includes the effect of pileup.

0.4 Reconstruction methods

We perform a search for T quarks that decay to final states with an electron or a muon, and jets. Selected events must have one or more pp interaction vertices within the luminous region (longitudinal position $|z|<24$ cm and radial position $\rho<2$ cm), reconstructed using a deterministic annealing filter algorithm [57]. The primary interaction vertex is the vertex with the largest $\sum\pt^{2}$ from its associated jets, leptons, and \ETmiss. The number of pileup interactions differs between data and simulation, so simulated events are weighted to reflect the pileup distribution expected in data given a total inelastic cross section of 69\unitmb [58].

Two observables that are useful in discriminating signal from background events, exploiting the fact that the decays of T quarks to single-lepton final states produce a large number of hadronic objects, are the following: the quantity \HT, defined as the scalar \ptsum of all reconstructed AK4 jets with $\pt>30$\GeVand $\abs{\eta}<2.4$, and the quantity $S_{\mathrm{T}}$, defined as the scalar sum of \ETmiss, the \ptof the lepton, and \HT.

0.4.1 Lepton reconstruction and selection

This search requires one charged lepton, either an electron or a muon, to be reconstructed within the acceptance region of $\abs{\eta}<2.4$. The event must satisfy a single-electron or single-muon trigger. The choice of triggers is adapted to the particular final state targeted in each channel. In $\cmsSymbolFace{T}\to\PQb\PW$ decays, the W boson is generally well separated from the associated bottom quark since the T quark has low \ptcompared to its mass, leading to a low level of hadronic activity in close proximity to the lepton. In contrast, a lepton originating from a top quark decay (\eg, from a $\cmsSymbolFace{T}\to\PQt\PH$ decay) becomes increasingly collinear with the associated bottom quark as the T quark mass increases and the Lorentz boost of the top quark rises.

As a consequence of the above, the boosted W channel uses triggers selecting leptons that are isolated with respect to nearby PF candidates, either electron candidates with $\pt>27$\GeVand $\abs{\eta}<2.1$, or muon candidates with $\pt>20\GeV$. The triggers used in the boosted H channel do not require that the leptons are isolated. In the electron channel, events with at least one electron candidate with $\pt>45\GeV$, one AK4 jet with $\pt>200\GeV$, and another AK4 jet with $\pt>50\GeV$ are selected by the trigger. The muon channel trigger selects events with a muon candidate with $\pt>45\GeV$ and $\abs{\eta}<$ 2.1. Methods to evaluate lepton isolation efficiency after trigger selection are described below.

Additional lepton identification quality criteria are required to reduce the contribution from background events containing other particles misidentified as leptons. For electrons these quality requirements [31] combine variables measuring track quality, the association between the track and electromagnetic shower, shower shape, and the likelihood of the electron to originate from a photon. Electrons are identified in the boosted H channel using a set of selection criteria with an efficiency of ${\approx}88\%$ and misidentification rate of ${\approx}7\%$. In the boosted W channel, two working points are defined based on a multivariate identification algorithm: a tight level with ${\approx}88\%$ efficiency (${\approx}4\%$ misidentification rate) and a loose level with ${\approx}95$% efficiency (${\approx}5\%$ misidentification rate).

Muons are reconstructed by fitting hits in the silicon tracker together with hits in the muon detectors [32]. Identification algorithms consider the quality of this fit, the number or fraction of valid hits in the trackers and muon detectors, track kinks, and the minimum distance between the extrapolated track from the silicon tracker and the primary interaction vertex. Several working points are defined: the boosted W channel uses so-called “tight” (“loose”) muons with ${\approx}97$% (100%) efficiency in the barrel region, and the boosted H channel uses “medium” muons with ${\approx}99$% efficiency in the barrel region. All muon identification working points have hadron misidentification rates of $<$1%.

Leptons that pass the requirements in the two channels are removed from jets that have an angular separation of $\Delta{R}<0.4$ from the lepton. This is done by matching PF candidates identified as leptons to the ones identified as jets and subtracting the four-momentum of a matched lepton candidate from the jet four-momentum.

In order to reduce the rate of background events that contain a soft lepton (\eg, from semileptonic bottom quark decays in multijet events), several metrics can be used to evaluate the isolation of a lepton from surrounding particles. In the boosted H channel, either an angular separation of $\Delta{R}(\ell,j)>0.4$, or $\pt^{\text{rel}}(\ell,j)>40$\GeVis required. Here, $\ell$ denotes the highest \ptlepton, $j$ is the jet closest to that lepton in angular separation, and $\pt^{\text{rel}}(\ell,j)$ is the projection of the lepton momentum on the direction perpendicular to the jet momentum in the $\ell$-$j$ plane. These criteria, also referred to as “2D isolation”, ensure a high signal efficiency for decays such as $\cmsSymbolFace{T}\to\PQt\PH$, with leptons produced close to jets, while rejecting a large fraction of the multijet background.

In the boosted W channel, where fewer leptons with nearby b quarks are expected, isolation is evaluated using mini-isolation ($I_{\text{mini}}$), defined as the sum of the transverse momenta of PF candidates within a \pt-dependent cone around the lepton, corrected for the effects of pileup and divided by the lepton \pt. The radius of the isolation cone, $R_{I}$, is defined as:

[TABLE]

Using a \pt-dependent cone size allows for greater efficiency at high energies where jets and leptons are more likely to overlap. “Tight” electrons (muons) must have $I_{\text{mini}}<0.1\,(0.2)$ while “loose” electrons and muons satisfy $I_{\text{mini}}<0.4$. In addition, the 2D isolation requirement is applied to remove any residual overlap between mini-isolated leptons and jets.

Scale factors that account for selection efficiency differences between data and simulation are calculated as a function of lepton \ptand $\eta$ using a “tag-and-probe” method [31, 32, 59]. These were calculated in separate measurements for the single-lepton trigger, lepton identification, and $I_{\text{mini}}$ requirements.

These scale factors are applied to simulated events for both lepton flavors. For the 2D isolation requirement, no significant difference is found between the selection efficiencies in data and simulation and hence no scale factor is applied.

0.4.2 Hadronic W and H tagging

In the decay of a heavy T quark, particles are produced with high momentum and large Lorentz boost. The decay products of top quarks and W, Z, or Higgs bosons are therefore often collimated. This can be seen in Fig. 2 in which the angular separation $\Delta{R}$ between the products of simulated $\PW\to\PQq\PAQq^{\prime}$ and $\PH\to\bbbar$ decays are shown for several T quark masses. Even for the lightest considered mass point this separation often has values of $\Delta{R}<0.8$, where the decay products of heavy bosons can merge into a single AK8 jet.

A jet shape variable called “$N$-subjettiness” [60], denoted as $\tau_{N}$, is defined as the sum of the transverse momenta of $k$ constituent particles weighted by their minimum angular separation from one of $N$ subjet candidates ($\Delta R_{N,k}$), which are in a jet of characteristic radius $R_{0}$:

[TABLE]

This variable quantifies the consistency of a jet with originating from an $N$-prong particle decay. The ratio $\tau_{2}/\tau_{1}$ provides high sensitivity to two-prong decays such as $\PW\to\PQq\PQq^{\prime}$. Jet grooming techniques (“pruning” and “soft drop”) are used to remove soft and wide-angle radiation so that the mass of the hard constituents can be measured more precisely [61, 62]. The pruning procedure reclusters the jet, removing soft or large-angle particles, while the soft drop algorithm recursively declusters the jet, removing sub-clusters until two subjets are identified within the AK8 jet. AK8 jets are reconstructed independently of AK4 jets, so they will frequently overlap. Unless otherwise stated, such overlapping jets are not removed when applying selections based on jet multiplicity.

The AK4 jets and subjets of AK8 jets can be tagged as originating from b quarks based on information about secondary vertices and displaced tracks within the jet. The efficiency for tagging b hadron jets in simulation is approximately 65%, averaged over jet \pt(slightly lower for subjets of AK8 jets), and the probability of mistagging a charm (light) quark jet is 13% (1%) [63]. Scale factors, which are functions of jet \ptand flavor, are applied to account for efficiency differences between data and simulation.

An AK8 jet is labeled as “W tagged” if it has $\pt>200$\GeV, $\abs{\eta}<2.4$, pruned jet mass between 65 and 105\GeV, and the ratio $\tau_{2}/\tau_{1}<0.6$. Differences in the pruned jet mass distribution and $\tau_{2}/\tau_{1}$ selection efficiency between data and simulation have been evaluated in Ref. [64]. To account for these differences, pruned jet mass scale factors and mass resolution smearing factors are applied in simulation to all AK8 jets. A $\tau_{2}/\tau_{1}$ selection scale factor is applied in simulation to jets that are spatially matched to true boosted products of a hadronic W boson decay.

Higgs boson candidate jets are reconstructed by exploiting the significant branching fraction of the Higgs boson to \bbbarpairs. AK8 jets are marked as “H tagged” if they have $\pt>300\GeV$, soft drop jet mass in the range 60–160\GeV, and if at least one of the two subjets from the soft drop algorithm is tagged as a bottom subjet.

0.5 Boosted H channel

0.5.1 Event selection and categorization

In this channel, one electron with $\pt>50\GeV$ and $\abs{\eta}<2.4$, or one muon with $\pt>47\GeV$ and $\abs{\eta}<2.1$ is required. In events with an electron, at least one AK4 jet with $\pt>250\GeV$ and a second AK4 jet with $\pt>70\GeV$ are required to select events with a nearly constant trigger efficiency. Furthermore, selected events must have $S_{\mathrm{T}}>800$\GeV, at least three AK4 jets, and at least two AK8 jets, since we expect a hadronic decay of a boosted Higgs boson in each event along with at least one other hadronic t quark, W, Z, or further Higgs boson decay. For the rejection of non top quark backgrounds, at least one b-tagged AK4 jet is required.

Distributions of the variables used in the H-tagging algorithm, as described in Section 0.4, are shown in Fig. 3. These distributions are from events that pass all selection criteria outlined above except for the b-tagging requirement, and that have the corrections described in Section 0.5.2 applied. The distribution of the number of b-tagged subjets for the highest \ptAK8 jet with soft drop jet mass within 60–160\GeVis shown along with the mass of the highest \ptAK8 jet with two b-tagged subjets, before the mass requirement. To illustrate the sensitivity of the H-tagging algorithm to the presence of boosted Higgs bosons, the $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ signal with a mass of 1200\GeVis split into two curves: the solid curve shows $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ events where at least one Higgs boson is present in the decay chain and the dashed curve shows $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ events with only $\cmsSymbolFace{T}\to\PQt\Z$ or $\cmsSymbolFace{T}\to\PQb\PW$ decays. It can be seen that signal events with at least one $\cmsSymbolFace{T}\to\PQt\PH$ decay produce a clear peak at 125\GeVin the mass distribution of the H-tagged jet. Signal events without a Higgs boson in the decay chain have a less pronounced increase at 90\GeVbecause of hadronic Z boson decays.

After passing the selection defined above, events are split into two exclusive categories, which depend on the number of b-tagged subjets of H-tagged jets, and are defined as follows:

• •

H2b: events with at least one H-tagged jet with exactly two b-tagged subjets.

• •

H1b: events with at least one H-tagged jet with exactly one b-tagged subjet.

To avoid an overlap between the two categories, any event is first checked whether it falls into the H2b category and only if it does not, it can enter into the H1b category.

0.5.2 Background modeling

To evaluate the modeling of \ttbarand W + jets production, the dominant background processes, two control regions that are enriched in events from these processes are defined by modifying the event selection defined in Section 0.5.1. In the \ttbarcontrol region, at least two b-tagged jets are required instead of at least one. In the W + jets control region, the requirement of at least one b-tagged jet is inverted and events with any b-tagged jets are rejected. Events with an H-tagged jet are rejected in both control regions to reduce the signal contribution in these regions, and $\MET>100$\GeVis required to reject events from multijet production. The signal to background ratio is about six times smaller than the one in the H2b category in the \ttbarcontrol region and about 30 times smaller in the W + jets control region. Events are corrected for all known sources of discrepancies between the data and simulation such as differing reconstruction or tagging efficiencies. It is observed that jets have a harder \ptspectrum in simulation, leading to significant discrepancies from observed distributions of quantities such as \HT. The discrepancies in both control regions are well described by 2-parameter linear fits with negative slopes to the ratio between data and simulation in the \HTdistributions [65, 66]. Modeling of the \ttbarand W + jets background samples is corrected using the results of these fits. The $S_{\mathrm{T}}$ distributions for both control regions are shown in Fig. 4 with all corrections applied.

To evaluate the uncertainty in the normalization of the \ttbarand W + jets background processes, a binned maximum likelihood fit [67] of the background-only hypothesis is performed in the two control regions using the Theta framework [68]. All systematic uncertainties (discussed in more detail in Section 0.7) are accounted for, except for uncertainties in the rate of \ttbarand W + jets backgrounds that are constrained using this fit. The resulting uncertainties in the normalizations of the two backgrounds are 8.7% for \ttbarand 6% for W + jets. These uncertainties are included in the final statistical interpretation of the results (discussed in Section 0.8) as rate uncertainties. In both control regions, data and simulation agree within the systematic uncertainties described in Section 0.7.

0.6 Boosted W channel

0.6.1 Event selection

The selection in this channel is optimized for the identification of boosted W boson decays. Selected events are required to have no H-tagged jets ensuring that the event sample in this channel is complementary to that for the boosted Higgs channel, allowing a straightforward combination of the two channels. Events are selected that have one electron or muon, usually from the decay of a W boson in the $\cmsSymbolFace{T}\to\PQb\PW$ decay mode or from a leptonic top quark decay in the $\cmsSymbolFace{T}\to\PQt\Z$ or tH decay modes. Electrons (muons) must have $\pt>40\GeV$, $\abs{\eta}<2.1\,(2.4)$ and pass the tight identification and isolation requirements described in Section 0.4. Events having additional loose electrons or muons with $\pt>10\GeV$ are rejected.

Each event must have three or more AK4 jets, and the three highest \ptjets must satisfy $\pt>300$, 150, and 100\GeV, respectively. Since a neutrino is expected from a leptonic W boson decay, \METis required to be greater than 75\GeV, which also significantly reduces the background from multijet events. Control regions are separated from the signal region based on the angular separation between the lepton and the second-highest \ptjet in the event, $\Delta R(\ell,j_{2})$. In both $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ and background processes, the lepton is usually observed back-to-back with the highest transverse momentum AK4 jet, and in $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ events the second-highest \ptjet also tends to be back-to-back with the lepton, as seen in Fig. 5. The signal region selection requires $\Delta R(\ell,j_{2})>1$. Figure 5 shows the distribution of $\Delta R(\ell,j_{2})$ after all selection requirements except for $\Delta R(\ell,j_{2})>1$. All selection efficiency corrections for differences between data and simulation are applied, as well as the \HT-based reweighting described in Section 0.5.2.

To maximize sensitivity to the presence of $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ production, events are divided into 16 categories based on lepton flavor (\Pe, $\mu$), the number of b-tagged jets (0, 1, 2, ${\geq}3$), and the number of boosted W-tagged jets (0, ${\geq}1$). In events with no W-tagged jet, we require a fourth jet with $\pt>30$\GeV. Figure 6 shows the distributions used for tagging boosted W bosons as well as the number of b-tagged and W-tagged jets. The pruned mass distribution for AK8 jets with $\tau_{2}/\tau_{1}<0.6$ shows a significant contribution of boosted W bosons in signal events weighted to correspond to the singlet branching fraction benchmark. The $\tau_{2}/\tau_{1}$ distribution in AK8 jets with pruned mass between 65–105\GeVshows that W + jets and multijet backgrounds are concentrated at higher values, as expected for jets without substructure.

We finally analyze the minimum mass constructed from the lepton ($\ell$) and a b-tagged AK4 jet, labeled $\min[M(\ell,\,\PQb)]$. In leptonic top quark decays, forming a mass from two of the three decay products, the lepton and b quark jet, produces a sharp edge near the top quark mass. Therefore this distribution is particularly suited to identifying $\cmsSymbolFace{T}\to\PQb\PW$ decays, where the corresponding edge forms at much higher masses, near M(T). In the categories with zero b-tagged AK4 jets, we consider the minimum mass of the lepton and any AK4 jet, denoted $\min[M(\ell,\,j)]$. This combination of discriminating variables provides the best sensitivity to low mass T quark production (${\lesssim}1$\TeV) in the singlet branching fraction scenario. Figure 7 shows distributions of $\min[M(\ell,\,j)]$ and $\min[M(\ell,\,\PQb)]$ after the final selection but before the likelihood fits described in Section 0.8.

0.6.2 Background modeling

To cross check the modeling of background processes, we consider two control regions enriched by two dominant background processes, W + jets and \ttbar. To define these regions we invert the signal region requirement of $\Delta R(\ell,j_{2})>1$ and modify the requirement on the number of b-tagged jets to maximize either W + jets or \ttbaryield. For an 800\GeVT quark we expect only 3 events in both control regions compared to a total background of 444, for a signal to background ratio that is a factor of ${\approx}3$ smaller than in the signal region.

The W + jets control region has zero b-tagged jets and events are categorized according to the number of W-tagged jets (0, ${\geq}1$). The \ttbarregion has one or more b-tagged jets and events are categorized according to the number of b-tagged jets (1, ${\geq}2$). Figure 8 shows distributions of $\min[M(\ell,\,j)]$ in the W + jets control region and $\min[M(\ell,\,\PQb)]$ in the \ttbarcontrol region. Both regions show that simulation-based background predictions agree with data within the systematic uncertainties described in Section 0.7. Observed and predicted event yields in the control regions for all categories are compared as a closure test, and differences in yields are assigned as an additional systematic uncertainty. This uncertainty accounts for any background mismodeling after selection and scale factor application.

0.7 Systematic uncertainties

We consider sources of systematic uncertainty that can affect the normalization and/or the shape of both background and signal distributions. A summary of these systematic uncertainties along with their numerical values and whether they are applied to signal or background samples can be found in Table 0.7.

The uncertainty in the integrated luminosity is 2.3% [69] and is applied to all simulated samples. Normalization uncertainties in the rates of SM processes include 20% for single top quark production and 15% for diboson production, based on CMS measurements [70, 71]. For multijet production a rate uncertainty of 100% is assigned in the boosted H channel since the simulation used in this channel does not contain either the PDF or matrix element scale uncertainties, unlike those used in the boosted W channel. No rate uncertainty is applied to Z + jets production since for this process experimental and theoretical uncertainties are small compared to the energy scale and PDF uncertainties described below. Additionally, both channels derive normalization uncertainties for \ttbarand W + jets samples from control regions, with values of 5–12% and 4–20% in the boosted W channel, and 8.7% and 6.0% in the boosted H channel. Trigger, lepton identification, and lepton isolation efficiency scale factor uncertainties are also applied as normalization uncertainties.

Uncertainties in both channels affecting the shape and normalization of the distributions include uncertainties related to jet energy scale, jet energy resolution, pruned or soft drop jet mass scale and resolution, and b tagging and light-flavor mistagging efficiencies. These are evaluated by raising and lowering their values with respect to the central values by one standard deviation of the respective uncertainties and recreating a distribution using shifted values at each step of the analysis. An additional uncertainty of 5% is applied in the boosted H channel to account for potential differences when propagating the jet mass scale and resolution scale factors, measured using hadronic W boson decays, to Higgs boson candidate jets. This uncertainty has been determined by comparing samples simulated with the \PYTHIA 8 and \HERWIGpp [72] (with the CUETP8M1 tune [53, 54]) hadronization programs and evaluating the difference between the two programs in the jet mass distributions for hadronically decaying W and Higgs bosons. In the boosted W channel we also apply shape uncertainties to the W boson tagging corrections for the $\tau_{2}$/$\tau_{1}$ selection efficiency and its \ptdependence. To account for small differences in the H-tagging efficiency between the boosted W and boosted H channel, a 3% normalization uncertainty is assigned that is correlated with the b tagging uncertainty in the boosted H channel and anticorrelated in the boosted W channel.

The uncertainty due to pileup modeling is evaluated by varying by ${\pm}5\%$ the total inelastic cross section used to calculate the pileup distribution. The systematic uncertainty in the \HT-based background reweighting procedure is taken to be the difference between the unweighted distribution and a distribution where the correction factor is applied twice.

The uncertainties in the PDFs used in MC simulation are evaluated from the set of NNPDF3.0 fitted replicas, following the standard procedure [55]. Renormalization and factorization scale uncertainties are calculated by varying the corresponding scales up or down (either independently or simultaneously) by a factor of two and taking as uncertainty the envelope, or largest spread, of all possible variations. These theoretical uncertainties are applied to the signal simulation as shape uncertainties, together with small normalization uncertainty contributions due to changes in acceptance.

The PDF and scale variation uncertainties affect both the normalization and shape of background distributions for multijet (in the boosted W channel), Z + jets, and single top quark MC samples. For the \ttbarand W + jets backgrounds the theoretical and \HTreweighting uncertainties dominate the total uncertainty in this search, and theoretical uncertainties are treated differently across the two channels. Changes of energy scale or parton momentum strongly influence \HTand therefore these uncertainties are correlated with the uncertainty in the \HTreweighting method. In the boosted H channel, only the uncertainty in the \HTreweighting procedure is considered as this uncertainty dominates over energy scale variations and PDF uncertainties, especially in the tails of the $S_{\mathrm{T}}$ distribution. In the boosted W channel the uncertainty in the \HTreweighting dominates over the PDF uncertainty, but is comparable in shape and magnitude to the scale variation uncertainty, with scale variations providing the dominant uncertainty at low values of $\min[M(\ell,\,\PQb)]$. In this channel both \HTreweighting and scale variation uncertainties are considered for \ttbarand W + jets backgrounds. All of these shared uncertainties are treated as correlated between the two analysis channels in the statistical interpretation of the results.

0.8 Results

Signal efficiencies for all possible final states of $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ and $\cmsSymbolFace{B}\overline{\cmsSymbolFace{B}}$ production in the boosted W and boosted H channels (after combining all categories in each channel) are listed in Table 0.8 for two signal hypotheses with a high and a low vector-like quark mass. The values are derived by dividing the number of signal events that have the corresponding decay mode in each category by the number of expected events in the same decay mode before any selection. It can be seen that the selection applied in the boosted H channel is most efficient if a Higgs boson is present in the final state, whereas the selection in the boosted W channel favors $\cmsSymbolFace{T}\to\PQb\PW$ decays, thus showing how the combination of the two channels improves sensitivity to most branching fraction combinations of the T quark. For B quark decays the boosted W channel has high efficiency for the tW decays and reduced efficiency for the bZ/bH decays owing to the lack of semileptonic top quark decays. Similarly, the boosted H channel is most efficient for the bHtW final state since a leptonic decay is required as well as an H-tag.

In Fig. 9, $\min[M(\ell,\,j)]$ or $\min[M(\ell,\,\PQb)]$ distributions are shown for each of the 8 tagging categories in the boosted W channel after the final event selection, with the electron and muon channels combined. Figure 10 shows distributions of $S_{\mathrm{T}}$ in the H1b and H2b categories after combining the electron and muon channels. As these two variables provide good discrimination between signal and background in their respective categories, they are used for the final statistical interpretation of the data. In all plots, the $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ signal distributions assume the singlet benchmark branching fractions. The event yields are given in Table 0.8.

After the final event selection, no significant excess above the SM expectations is observed in data. We set 95% CL upper limits on the cross section of $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ production in various branching fraction scenarios. These limits are defined as Bayesian credible intervals [67] and are derived using the Theta [68] program. Statistical uncertainties due to the finite size of the MC samples are accounted for using the Barlow–Beeston lite method [73]. Systematic uncertainties are treated as nuisance parameters with log-normal priors for normalization uncertainties, Gaussian priors for shape uncertainties with shifted templates, and a flat prior on the signal cross section. The limits are then calculated by simultaneously fitting the binned marginal likelihoods obtained from the $\min[M(\ell,\,\PQb)]$ distributions in all boosted W categories and the $S_{\mathrm{T}}$ distributions in all boosted H categories. This creates a combined search with 20 categories after dividing into electron and muon channels: 16 categories from the boosted W channel and 4 categories with a boosted Higgs boson. The systematic uncertainties for these categories are correlated, as described in Section 0.7.

Results for the individual channels are shown in Fig. 11. The boosted W channel excludes T quarks decaying only to bW with masses below 910\GeV(870\GeVexpected), and the boosted H channel excludes T quarks decaying only to tH for masses below 890\GeV(860\GeVexpected). In Fig. 12 we present combined 95% CL upper limits on the $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ production cross section for two VLQ benchmark branching fraction combinations: singlet (50% bW, 25% tZ/tH) and doublet (50% tZ/tH). For an electroweak singlet T quark, the observed (expected) upper limits on the production cross section range from 0.26 to 0.04\unitpb (0.31 to 0.04\unitpb) and we exclude masses below 860\GeV(790\GeV). For a doublet T quark, the observed (expected) upper limits on the production cross section range from 0.37 to 0.04\unitpb (0.34 to 0.03\unitpb) and we exclude masses below 830\GeV(780\GeV). The corresponding benchmarks for B quark production are shown in Fig. 13, and we can exclude masses below 730\GeV(720\GeVexpected) for the singlet branching fraction combination while for the doublet scenario, no lower mass limit above 700\GeVwas observed. Sensitivity to $\cmsSymbolFace{B}\overline{\cmsSymbolFace{B}}$ production in this search is limited by the single lepton selection efficiency for $\PQb\PZ$ and $\PQb\PH$ decays, as noted above. The combinations benefit from the difference in discriminating variables between the channels: the min[M($\ell$,b)] distributions used in the boosted W channel provide good sensitivity to low-mass T quarks, while the peaking signal shape in the $S_{\mathrm{T}}$ distribution drives the combination at high masses. The observed exclusion limits are stronger than expected due to an over-prediction of the background that remains after the \HT-based reweighting, particularly in categories with a W-tagged jet and several b-tagged jets. This effect is not significant given the systematic uncertainty in the reweighting procedure.

Figure 14 shows expected and observed exclusion limits at 95% CL on the T quark mass, for a scan of possible branching fractions: we set lower mass limits with values ranging from 790 to 940\GeVfor combinations with $\mathcal{B}(\cmsSymbolFace{T}\to\PQt\PH)+\mathcal{B}(\cmsSymbolFace{T}\to\PQb\PW)\geq 0.4$. Compared to the combination of many leptonic and hadronic search channels in $\sqrt{s}=8$\TeVcollision data corresponding to an integrated luminosity of 19.7\fbinv, the current combination of two single lepton channels produces similar expected exclusion limits. This represents an improved sensitivity to $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ pair production at $\sqrt{s}=13$\TeVdue to the increase in the $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ production cross section from 8 to 13\TeVas well as to significant improvements in techniques for identifying boosted hadronic massive-particle decays. For branching fraction scenarios with $\mathcal{B}(\cmsSymbolFace{T}\to\PQt\PH)+\mathcal{B}(\cmsSymbolFace{T}\to\PQb\PW)\geq 0.4$ these results extend the excluded mass range of the 8\TeVsearch by up to 160\GeV.

0.9 Summary

The first search by CMS for pair-produced vector-like T and B quarks at $\sqrt{s}=13$\TeVis presented, using data from proton-proton collisions recorded in 2015 corresponding to integrated luminosities of 2.3–2.6\fbinv. The search requires at least one lepton in the final state and is optimized for cases where a T quark decays to a boosted W or Higgs boson. No excess above the standard model background is observed and 95% confidence level upper limits are placed on the cross section of $\cmsSymbolFace{T}\overline{\cmsSymbolFace{T}}$ and $\cmsSymbolFace{B}\overline{\cmsSymbolFace{B}}$ production. For an electroweak singlet T quark, masses below 860\GeVare excluded, and for a doublet T quark, masses below 830\GeVare excluded. Considering other possible branching fraction combinations for T quarks, and assuming that the sum of the branching fractions to bW, tH and tZ is equal to unity, we set lower mass limits that range from 790 to 940\GeVfor combinations with $\mathcal{B}(\cmsSymbolFace{T}\to\PQt\PH)+\mathcal{B}(\cmsSymbolFace{T}\to\PQb\PW)\geq 0.4$. These results extend the sensitivity of previous CMS searches for many possible T quark decay scenarios, and showcase the importance of new techniques for understanding highly-boosted final states in extending searches for new particles to higher masses.

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 centers 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: BMWFW and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS (Colombia); MSES and CSF (Croatia); RPF (Cyprus); SENESCYT (Ecuador); MoER, ERC IUT, and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRT (Greece); OTKA and NIH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS, RFBR and RAEP (Russia); MESTD (Serbia); SEIDI, CPAN, PCTI and FEDER (Spain); 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 program and the European Research Council and Horizon 2020 Grant, contract No. 675440 (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 Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Council of Science and Industrial Research, India; the HOMING PLUS program of the Foundation for Polish Science, cofinanced from European Union, Regional Development Fund, the Mobility Plus program 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 Programa Clarín-COFUND del Principado de Asturias; the Thalis and Aristeia programs 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); and the Welch Foundation, contract C-1845.

.10 The CMS Collaboration

**Yerevan Physics Institute, Yerevan, Armenia

** A.M. Sirunyan, A. Tumasyan \cmsinstskip**Institut für Hochenergiephysik, Wien, Austria

** W. Adam, F. Ambrogi, E. Asilar, T. Bergauer, J. Brandstetter, E. Brondolin, M. Dragicevic, J. Erö, M. Flechl, M. Friedl, R. Frühwirth\cmsAuthorMark1, V.M. Ghete, J. Grossmann, J. Hrubec, M. Jeitler\cmsAuthorMark1, A. König, N. Krammer, I. Krätschmer, D. Liko, T. Madlener, I. Mikulec, E. Pree, D. Rabady, N. Rad, H. Rohringer, J. Schieck\cmsAuthorMark1, R. Schöfbeck, M. Spanring, D. Spitzbart, J. Strauss, W. Waltenberger, J. Wittmann, C.-E. Wulz\cmsAuthorMark1, M. Zarucki \cmsinstskip**Institute for Nuclear Problems, Minsk, Belarus

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

** E.A. De Wolf, D. Di Croce, X. Janssen, J. Lauwers, M. Van De Klundert, H. Van Haevermaet, P. Van Mechelen, N. Van Remortel, A. Van Spilbeeck \cmsinstskip**Vrije Universiteit Brussel, Brussel, Belgium

** S. Abu Zeid, F. Blekman, J. D’Hondt, I. De Bruyn, J. De Clercq, K. Deroover, G. Flouris, D. Lontkovskyi, S. Lowette, S. Moortgat, L. Moreels, A. Olbrechts, Q. Python, K. Skovpen, S. Tavernier, W. Van Doninck, P. Van Mulders, I. Van Parijs \cmsinstskip**Université Libre de Bruxelles, Bruxelles, Belgium

** H. Brun, B. Clerbaux, G. De Lentdecker, H. Delannoy, G. Fasanella, L. Favart, R. Goldouzian, A. Grebenyuk, G. Karapostoli, T. Lenzi, J. Luetic, T. Maerschalk, A. Marinov, A. Randle-conde, T. Seva, C. Vander Velde, P. Vanlaer, D. Vannerom, R. Yonamine, F. Zenoni, F. Zhang\cmsAuthorMark2 \cmsinstskip**Ghent University, Ghent, Belgium

** A. Cimmino, T. Cornelis, D. Dobur, A. Fagot, M. Gul, I. Khvastunov, D. Poyraz, C. Roskas, S. Salva, M. Tytgat, W. Verbeke, N. Zaganidis \cmsinstskip**Université Catholique de Louvain, Louvain-la-Neuve, Belgium

** H. Bakhshiansohi, O. Bondu, S. Brochet, G. Bruno, A. Caudron, S. De Visscher, C. Delaere, M. Delcourt, B. Francois, A. Giammanco, A. Jafari, M. Komm, G. Krintiras, V. Lemaitre, A. Magitteri, A. Mertens, M. Musich, K. Piotrzkowski, L. Quertenmont, M. Vidal Marono, S. Wertz \cmsinstskip**Université de Mons, Mons, Belgium

** N. Beliy \cmsinstskip**Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brazil

** W.L. Aldá Júnior, F.L. Alves, G.A. Alves, L. Brito, M. Correa Martins Junior, C. Hensel, A. Moraes, M.E. Pol, 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, A. Custódio, E.M. Da Costa, G.G. Da Silveira\cmsAuthorMark4, D. De Jesus Damiao, S. Fonseca De Souza, L.M. Huertas Guativa, H. Malbouisson, M. Melo De Almeida, C. Mora Herrera, L. Mundim, H. Nogima, A. Santoro, A. Sznajder, 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, T.R. Fernandez Perez Tomeia, E.M. Gregoresb, P.G. Mercadanteb, C.S. Moona, S.F. Novaesa, Sandra S. Padulaa, D. Romero Abadb, J.C. Ruiz Vargasa \cmsinstskip**Institute for Nuclear Research and Nuclear Energy of Bulgaria Academy of Sciences

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

** A. Dimitrov, I. Glushkov, L. Litov, B. Pavlov, P. Petkov \cmsinstskip**Beihang University, Beijing, China

** W. Fang\cmsAuthorMark5, X. Gao\cmsAuthorMark5 \cmsinstskip**Institute of High Energy Physics, Beijing, China

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

** Y. Ban, G. Chen, Q. Li, S. Liu, Y. Mao, S.J. Qian, D. Wang, Z. Xu \cmsinstskip**Universidad de Los Andes, Bogota, Colombia

** C. Avila, A. Cabrera, L.F. Chaparro Sierra, C. Florez, C.F. González Hernández, J.D. Ruiz Alvarez \cmsinstskip**University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, Croatia

** B. Courbon, N. Godinovic, D. Lelas, I. Puljak, P.M. Ribeiro Cipriano, T. Sculac \cmsinstskip**University of Split, Faculty of Science, Split, Croatia

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

** V. Brigljevic, D. Ferencek, K. Kadija, B. Mesic, T. Susa \cmsinstskip**University of Cyprus, Nicosia, Cyprus

** M.W. Ather, A. Attikis, G. Mavromanolakis, J. Mousa, C. Nicolaou, F. Ptochos, P.A. Razis, H. Rykaczewski \cmsinstskip**Charles University, Prague, Czech Republic

** M. Finger\cmsAuthorMark6, M. Finger Jr.\cmsAuthorMark6 \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

** A.A. Abdelalim\cmsAuthorMark7*,\cmsAuthorMark8, Y. Mohammed\cmsAuthorMark9, E. Salama\cmsAuthorMark10,*\cmsAuthorMark11 \cmsinstskip**National Institute of Chemical Physics and Biophysics, Tallinn, Estonia

** R.K. Dewanjee, M. Kadastik, L. Perrini, M. Raidal, A. Tiko, C. Veelken \cmsinstskip**Department of Physics, University of Helsinki, Helsinki, Finland

** P. Eerola, J. Pekkanen, M. Voutilainen \cmsinstskip**Helsinki Institute of Physics, Helsinki, Finland

** J. Härkönen, T. Järvinen, V. Karimäki, R. Kinnunen, T. Lampén, K. Lassila-Perini, S. Lehti, T. Lindén, P. Luukka, E. Tuominen, J. Tuominiemi, E. Tuovinen \cmsinstskip**Lappeenranta University of Technology, Lappeenranta, Finland

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

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

** A. Abdulsalam, I. Antropov, S. Baffioni, F. Beaudette, P. Busson, L. Cadamuro, C. Charlot, O. Davignon, R. Granier de Cassagnac, M. Jo, S. Lisniak, A. Lobanov, J. Martin Blanco, M. Nguyen, C. Ochando, G. Ortona, P. Paganini, P. Pigard, S. Regnard, R. Salerno, J.B. Sauvan, Y. Sirois, A.G. Stahl Leiton, T. Strebler, Y. Yilmaz, A. Zabi, A. Zghiche \cmsinstskip**Université de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France

** J.-L. Agram\cmsAuthorMark12, J. Andrea, D. Bloch, J.-M. Brom, M. Buttignol, E.C. Chabert, N. Chanon, C. Collard, E. Conte\cmsAuthorMark12, X. Coubez, J.-C. Fontaine\cmsAuthorMark12, D. Gelé, U. Goerlach, M. Jansová, A.-C. Le Bihan, 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, R. Chierici, D. Contardo, P. Depasse, H. El Mamouni, J. Fay, L. Finco, S. Gascon, M. Gouzevitch, G. Grenier, B. Ille, F. Lagarde, I.B. Laktineh, M. Lethuillier, L. Mirabito, A.L. Pequegnot, S. Perries, A. Popov\cmsAuthorMark13, V. Sordini, M. Vander Donckt, S. Viret \cmsinstskip**Georgian Technical University, Tbilisi, Georgia

** A. Khvedelidze\cmsAuthorMark6 \cmsinstskip**Tbilisi State University, Tbilisi, Georgia

** I. Bagaturia\cmsAuthorMark14 \cmsinstskip**RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany

** C. Autermann, S. Beranek, L. Feld, M.K. Kiesel, K. Klein, M. Lipinski, M. Preuten, C. Schomakers, J. Schulz, T. Verlage \cmsinstskip**RWTH Aachen University, III. Physikalisches Institut A,  Aachen, Germany

** A. Albert, M. Brodski, E. Dietz-Laursonn, D. Duchardt, M. Endres, M. Erdmann, S. Erdweg, T. Esch, R. Fischer, A. Güth, M. Hamer, T. Hebbeker, C. Heidemann, K. Hoepfner, S. Knutzen, M. Merschmeyer, A. Meyer, P. Millet, S. Mukherjee, M. Olschewski, K. Padeken, T. Pook, M. Radziej, H. Reithler, M. Rieger, F. Scheuch, D. Teyssier, S. Thüer \cmsinstskip**RWTH Aachen University, III. Physikalisches Institut B,  Aachen, Germany

** G. Flügge, B. Kargoll, T. Kress, A. Künsken, J. Lingemann, T. Müller, A. Nehrkorn, A. Nowack, C. Pistone, O. Pooth, A. Stahl\cmsAuthorMark15 \cmsinstskip**Deutsches Elektronen-Synchrotron, Hamburg, Germany

** M. Aldaya Martin, T. Arndt, C. Asawatangtrakuldee, K. Beernaert, O. Behnke, U. Behrens, A.A. Bin Anuar, K. Borras\cmsAuthorMark16, V. Botta, A. Campbell, P. Connor, C. Contreras-Campana, F. Costanza, C. Diez Pardos, G. Eckerlin, D. Eckstein, T. Eichhorn, E. Eren, E. Gallo\cmsAuthorMark17, J. Garay Garcia, A. Geiser, A. Gizhko, J.M. Grados Luyando, A. Grohsjean, P. Gunnellini, A. Harb, J. Hauk, M. Hempel\cmsAuthorMark18, H. Jung, A. Kalogeropoulos, M. Kasemann, J. Keaveney, C. Kleinwort, I. Korol, D. Krücker, W. Lange, A. Lelek, T. Lenz, J. Leonard, K. Lipka, W. Lohmann\cmsAuthorMark18, R. Mankel, I.-A. Melzer-Pellmann, A.B. Meyer, G. Mittag, J. Mnich, A. Mussgiller, E. Ntomari, D. Pitzl, R. Placakyte, A. Raspereza, B. Roland, M. Savitskyi, P. Saxena, R. Shevchenko, S. Spannagel, N. Stefaniuk, G.P. Van Onsem, R. Walsh, Y. Wen, K. Wichmann, C. Wissing, O. Zenaiev \cmsinstskip**University of Hamburg, Hamburg, Germany

** S. Bein, V. Blobel, M. Centis Vignali, A.R. Draeger, T. Dreyer, E. Garutti, D. Gonzalez, J. Haller, M. Hoffmann, A. Junkes, A. Karavdina, R. Klanner, R. Kogler, N. Kovalchuk, S. Kurz, T. Lapsien, I. Marchesini, D. Marconi, M. Meyer, M. Niedziela, D. Nowatschin, F. Pantaleo\cmsAuthorMark15, T. Peiffer, A. Perieanu, C. Scharf, P. Schleper, A. Schmidt, S. Schumann, J. Schwandt, J. Sonneveld, H. Stadie, G. Steinbrück, F.M. Stober, M. Stöver, H. Tholen, D. Troendle, E. Usai, L. Vanelderen, A. Vanhoefer, B. Vormwald \cmsinstskip**Institut für Experimentelle Kernphysik, Karlsruhe, Germany

** M. Akbiyik, C. Barth, S. Baur, E. Butz, R. Caspart, T. Chwalek, F. Colombo, W. De Boer, A. Dierlamm, B. Freund, R. Friese, M. Giffels, A. Gilbert, D. Haitz, F. Hartmann\cmsAuthorMark15, S.M. Heindl, U. Husemann, F. Kassel\cmsAuthorMark15, S. Kudella, H. Mildner, M.U. Mozer, Th. Müller, M. Plagge, G. Quast, K. Rabbertz, M. Schröder, I. Shvetsov, G. Sieber, H.J. Simonis, R. Ulrich, S. Wayand, M. Weber, T. Weiler, S. Williamson, C. Wöhrmann, R. Wolf \cmsinstskip**Institute of Nuclear and Particle Physics (INPP),  NCSR Demokritos, Aghia Paraskevi, Greece

** G. Anagnostou, G. Daskalakis, T. Geralis, V.A. Giakoumopoulou, A. Kyriakis, D. Loukas, I. Topsis-Giotis \cmsinstskip**National and Kapodistrian University of Athens, Athens, Greece

** S. Kesisoglou, A. Panagiotou, N. Saoulidou \cmsinstskip**University of Ioánnina, Ioánnina, Greece

** I. Evangelou, C. Foudas, P. Kokkas, N. Manthos, I. Papadopoulos, E. Paradas, J. Strologas, F.A. Triantis \cmsinstskip**MTA-ELTE Lendület CMS Particle and Nuclear Physics Group, Eötvös Loránd University, Budapest, Hungary

** M. Csanad, N. Filipovic, G. Pasztor \cmsinstskip**Wigner Research Centre for Physics, Budapest, Hungary

** G. Bencze, C. Hajdu, D. Horvath\cmsAuthorMark19, Á. Hunyadi, F. Sikler, V. Veszpremi, G. Vesztergombi\cmsAuthorMark20, A.J. Zsigmond \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

** M. Bartók\cmsAuthorMark20, P. Raics, Z.L. Trocsanyi, B. Ujvari \cmsinstskip**Indian Institute of Science (IISc),  Bangalore, India

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

** S. Bahinipati\cmsAuthorMark22, S. Bhowmik, P. Mal, K. Mandal, A. Nayak\cmsAuthorMark23, D.K. Sahoo\cmsAuthorMark22, N. Sahoo, S.K. Swain \cmsinstskip**Panjab University, Chandigarh, India

** S. Bansal, S.B. Beri, V. Bhatnagar, U. Bhawandeep, R. Chawla, N. Dhingra, A.K. Kalsi, A. Kaur, M. Kaur, R. Kumar, P. Kumari, A. Mehta, J.B. Singh, G. Walia \cmsinstskip**University of Delhi, Delhi, India

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

** R. Bhardwaj, R. Bhattacharya, S. Bhattacharya, S. Dey, S. Dutt, S. Dutta, S. Ghosh, N. Majumdar, A. Modak, K. Mondal, S. Mukhopadhyay, S. Nandan, A. Purohit, A. Roy, D. Roy, S. Roy Chowdhury, S. Sarkar, M. Sharan, S. Thakur \cmsinstskip**Indian Institute of Technology Madras, Madras, India

** P.K. Behera \cmsinstskip**Bhabha Atomic Research Centre, Mumbai, India

** R. Chudasama, D. Dutta, V. Jha, V. Kumar, A.K. Mohanty\cmsAuthorMark15, P.K. Netrakanti, L.M. Pant, P. Shukla, A. Topkar \cmsinstskip**Tata Institute of Fundamental Research-A, Mumbai, India

** T. Aziz, S. Dugad, B. Mahakud, S. Mitra, G.B. Mohanty, B. Parida, N. Sur, B. Sutar \cmsinstskip**Tata Institute of Fundamental Research-B, Mumbai, India

** S. Banerjee, S. Bhattacharya, S. Chatterjee, P. Das, M. Guchait, Sa. Jain, S. Kumar, M. Maity\cmsAuthorMark24, G. Majumder, K. Mazumdar, T. Sarkar\cmsAuthorMark24, N. Wickramage\cmsAuthorMark25 \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, S. Sharma \cmsinstskip**Institute for Research in Fundamental Sciences (IPM),  Tehran, Iran

** S. Chenarani\cmsAuthorMark26, E. Eskandari Tadavani, S.M. Etesami\cmsAuthorMark26, M. Khakzad, M. Mohammadi Najafabadi, M. Naseri, S. Paktinat Mehdiabadi\cmsAuthorMark27, F. Rezaei Hosseinabadi, B. Safarzadeh\cmsAuthorMark28, M. Zeinali \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, C. Calabriaa**,b, C. Caputoa**,b, A. Colaleoa, D. Creanzaa**,c, L. Cristellaa**,b, N. De Filippisa**,c, M. De Palmaa**,b, F. Erricoa**,b, L. Fiorea, G. Iasellia**,c, G. Maggia**,c, M. Maggia, G. Minielloa**,b, S. Mya**,b, S. Nuzzoa**,b, A. Pompilia**,b, G. Pugliesea**,c, R. Radognaa**,b, A. Ranieria, G. Selvaggia**,b, A. Sharmaa, L. Silvestrisa**,\cmsAuthorMark15, R. Vendittia, P. Verwilligena \cmsinstskip**INFN Sezione di Bologna a, Università di Bologna b,  Bologna, Italy

** G. Abbiendia, C. Battilana, D. Bonacorsia**,b, S. Braibant-Giacomellia**,b, L. Brigliadoria**,b, R. Campaninia**,b, P. Capiluppia**,b, A. Castroa**,b, F.R. Cavalloa, S.S. Chhibraa**,b, G. Codispotia**,b, M. Cuffiania**,b, G.M. Dallavallea, F. Fabbria, A. Fanfania**,b, D. Fasanellaa**,b, P. Giacomellia, L. Guiduccia**,b, S. Marcellinia, G. Masettia, F.L. Navarriaa**,b, A. Perrottaa, A.M. Rossia**,b, T. Rovellia**,b, G.P. Sirolia**,b, N. Tosia**,b,\cmsAuthorMark15 \cmsinstskip**INFN Sezione di Catania a, Università di Catania b,  Catania, Italy

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

** G. Barbaglia, K. Chatterjeea**,b, V. Ciullia**,b, C. Civininia, R. D’Alessandroa**,b, E. Focardia**,b, P. Lenzia**,b, M. Meschinia, S. Paolettia, L. Russoa**,\cmsAuthorMark29, G. Sguazzonia, D. Stroma, L. Viliania**,b,\cmsAuthorMark15 \cmsinstskip**INFN Laboratori Nazionali di Frascati, Frascati, Italy

** L. Benussi, S. Bianco, F. Fabbri, D. Piccolo, F. Primavera\cmsAuthorMark15 \cmsinstskip**INFN Sezione di Genova a, Università di Genova b,  Genova, Italy

** V. Calvellia**,b, F. Ferroa, E. Robuttia, S. Tosi*a**,*b \cmsinstskip**INFN Sezione di Milano-Bicocca a, Università di Milano-Bicocca b,  Milano, Italy

** L. Brianzaa**,b, F. Brivioa**,b, V. Cirioloa**,b, M.E. Dinardoa**,b, S. Fiorendia**,b, S. Gennaia, A. Ghezzia**,b, P. Govonia**,b, M. Malbertia**,b, S. Malvezzia, R.A. Manzonia**,b, D. Menascea, L. Moronia, M. Paganonia**,b, K. Pauwelsa**,b, D. Pedrinia, S. Pigazzinia**,b,\cmsAuthorMark30, S. Ragazzi*a**,b, T. Tabarelli de Fatisa**,*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, S. Di Guidaa**,d,\cmsAuthorMark15, F. Fabozzia**,c, F. Fiengaa**,b, A.O.M. Iorioa**,b, W.A. Khana, L. Listaa, S. Meolaa**,d,\cmsAuthorMark15, P. Paoluccia**,\cmsAuthorMark15, C. Sciaccaa**,b, F. Thyssena \cmsinstskip**INFN Sezione di Padova a, Università di Padova b, Padova, Italy, Università di Trento c, Trento, Italy

** P. Azzia**,\cmsAuthorMark15, N. Bacchettaa, L. Benatoa**,b, A. Bolettia**,b, R. Carlina**,b, A. Carvalho Antunes De Oliveiraa**,b, P. Checchiaa, M. Dall’Ossoa**,b, P. De Castro Manzanoa, T. Dorigoa, U. Dossellia, U. Gasparinia**,b, A. Gozzelinoa, S. Lacapraraa, M. Margonia**,b, A.T. Meneguzzoa**,b, N. Pozzobona**,b, P. Ronchesea**,b, R. Rossina**,b, M. Sgaravattoa, F. Simonettoa**,b, E. Torassaa, S. Venturaa, M. Zanetti*a**,b, P. Zottoa**,b, G. Zumerlea**,*b \cmsinstskip**INFN Sezione di Pavia a, Università di Pavia b,  Pavia, Italy

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

** L. Alunni Solestizia**,b, G.M. Bileia, D. Ciangottinia**,b, L. Fanòa**,b, P. Laricciaa**,b, R. Leonardia**,b, G. Mantovania**,b, V. Mariania**,b, M. Menichellia, A. Sahaa, A. Santocchia*a**,*b, D. Spiga \cmsinstskip**INFN Sezione di Pisa a, Università di Pisa b, Scuola Normale Superiore di Pisa c,  Pisa, Italy

** K. Androsova, P. Azzurria**,\cmsAuthorMark15, G. Bagliesia, J. Bernardinia, T. Boccalia, L. Borrello, R. Castaldia, M.A. Cioccia**,b, R. Dell’Orsoa, G. Fedia, L. Gianninia**,c, A. Giassia, M.T. Grippoa**,\cmsAuthorMark29, F. Ligabuea**,c, T. Lomtadzea, E. Mancaa**,c, G. Mandorlia**,c, L. Martinia**,b, A. Messineoa**,b, F. Pallaa, A. Rizzia**,b, A. Savoy-Navarroa**,\cmsAuthorMark31, P. Spagnoloa, R. Tenchinia, G. Tonellia**,b, A. Venturia, P.G. Verdinia \cmsinstskip**INFN Sezione di Roma a, Sapienza Università di Roma b,  Rome, Italy

** L. Baronea**,b, F. Cavallaria, M. Cipriania**,b, D. Del Rea**,b,\cmsAuthorMark15, M. Diemoza, S. Gellia**,b, E. Longoa**,b, F. Margarolia**,b, B. Marzocchia**,b, P. Meridiania, G. Organtinia**,b, R. Paramattia**,b, F. Preiatoa**,b, S. Rahatloua**,b, C. Rovellia, F. Santanastasio*a**,*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,\cmsAuthorMark15, S. Argiroa**,b, M. Arneodoa**,c, N. Bartosika, R. Bellana**,b, C. Biinoa, N. Cartigliaa, F. Cennaa**,b, M. Costaa**,b, R. Covarellia**,b, A. Deganoa**,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, F. Raveraa**,b, A. Romeroa**,b, M. Ruspaa**,c, R. Sacchia**,b, K. Shchelinaa**,b, V. Solaa, A. Solanoa**,b, A. Staianoa, P. Traczyk*a**,*b \cmsinstskip**INFN Sezione di Trieste a, Università di Trieste b,  Trieste, Italy

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

** D.H. Kim, G.N. Kim, M.S. Kim, J. Lee, S. Lee, S.W. Lee, Y.D. Oh, S. Sekmen, D.C. Son, Y.C. Yang \cmsinstskip**Chonbuk National University, Jeonju, Korea

** A. Lee \cmsinstskip**Chonnam National University, Institute for Universe and Elementary Particles, Kwangju, Korea

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

** J.A. Brochero Cifuentes, J. Goh, T.J. Kim \cmsinstskip**Korea University, Seoul, Korea

** S. Cho, S. Choi, Y. Go, D. Gyun, S. Ha, B. Hong, Y. Jo, Y. Kim, K. Lee, K.S. Lee, S. Lee, J. Lim, S.K. Park, Y. Roh \cmsinstskip**Seoul National University, Seoul, Korea

** J. Almond, J. Kim, J.S. Kim, H. Lee, K. Lee, K. Nam, S.B. Oh, B.C. Radburn-Smith, S.h. Seo, U.K. Yang, H.D. Yoo, G.B. Yu \cmsinstskip**University of Seoul, Seoul, Korea

** M. Choi, H. Kim, J.H. Kim, J.S.H. Lee, I.C. Park, G. Ryu \cmsinstskip**Sungkyunkwan University, Suwon, Korea

** Y. Choi, C. Hwang, J. Lee, I. Yu \cmsinstskip**Vilnius University, Vilnius, Lithuania

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

** I. Ahmed, Z.A. Ibrahim, M.A.B. Md Ali\cmsAuthorMark32, F. Mohamad Idris\cmsAuthorMark33, W.A.T. Wan Abdullah, M.N. Yusli, Z. Zolkapli \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\cmsAuthorMark34, R. Lopez-Fernandez, J. Mejia Guisao, A. Sanchez-Hernandez \cmsinstskip**Universidad Iberoamericana, Mexico City, Mexico

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

** 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 Auckland, Auckland, New Zealand

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

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

** A. Ahmad, M. Ahmad, Q. Hassan, H.R. Hoorani, A. Saddique, M.A. Shah, M. Shoaib, M. Waqas \cmsinstskip**National Centre for Nuclear Research, Swierk, Poland

** H. Bialkowska, M. Bluj, B. Boimska, T. Frueboes, M. Górski, M. Kazana, K. Nawrocki, K. Romanowska-Rybinska, M. Szleper, P. Zalewski \cmsinstskip**Institute of Experimental Physics, Faculty of Physics, University of Warsaw, Warsaw, Poland

** K. Bunkowski, A. Byszuk\cmsAuthorMark35, 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

** P. Bargassa, C. Beirão Da Cruz E Silva, B. Calpas, A. Di Francesco, P. Faccioli, M. Gallinaro, J. Hollar, N. Leonardo, L. Lloret Iglesias, M.V. Nemallapudi, J. Seixas, O. Toldaiev, D. Vadruccio, J. Varela \cmsinstskip**Joint Institute for Nuclear Research, Dubna, Russia

** S. Afanasiev, P. Bunin, M. Gavrilenko, I. Golutvin, I. Gorbunov, A. Kamenev, V. Karjavin, A. Lanev, A. Malakhov, V. Matveev\cmsAuthorMark36*,*\cmsAuthorMark37, V. Palichik, V. Perelygin, S. Shmatov, S. Shulha, N. Skatchkov, V. Smirnov, N. Voytishin, A. Zarubin \cmsinstskip**Petersburg Nuclear Physics Institute, Gatchina (St. Petersburg),  Russia

** Y. Ivanov, V. Kim\cmsAuthorMark38, E. Kuznetsova\cmsAuthorMark39, P. Levchenko, V. Murzin, V. Oreshkin, I. Smirnov, V. Sulimov, L. Uvarov, S. Vavilov, 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, Moscow, Russia

** V. Epshteyn, V. Gavrilov, N. Lychkovskaya, 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, A. Bylinkin\cmsAuthorMark37 \cmsinstskip**National Research Nuclear University ’Moscow Engineering Physics Institute’ (MEPhI),  Moscow, Russia

** R. Chistov\cmsAuthorMark40, M. Danilov\cmsAuthorMark40, P. Parygin, D. Philippov, S. Polikarpov, E. Tarkovskii \cmsinstskip**P.N. Lebedev Physical Institute, Moscow, Russia

** V. Andreev, M. Azarkin\cmsAuthorMark37, I. Dremin\cmsAuthorMark37, M. Kirakosyan\cmsAuthorMark37, A. Terkulov \cmsinstskip**Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow, Russia

** A. Baskakov, A. Belyaev, E. Boos, V. Bunichev, M. Dubinin\cmsAuthorMark41, L. Dudko, A. Ershov, A. Gribushin, V. Klyukhin, O. Kodolova, I. Lokhtin, I. Miagkov, S. Obraztsov, M. Perfilov, V. Savrin \cmsinstskip**Novosibirsk State University (NSU),  Novosibirsk, Russia

** V. Blinov\cmsAuthorMark42, Y.Skovpen\cmsAuthorMark42, D. Shtol\cmsAuthorMark42 \cmsinstskip**State Research Center of Russian Federation, Institute for High Energy Physics, Protvino, Russia

** I. Azhgirey, I. Bayshev, S. Bitioukov, D. Elumakhov, V. Kachanov, A. Kalinin, D. Konstantinov, V. Krychkine, V. Petrov, R. Ryutin, A. Sobol, S. Troshin, N. Tyurin, A. Uzunian, A. Volkov \cmsinstskip**University of Belgrade, Faculty of Physics and Vinca Institute of Nuclear Sciences, Belgrade, Serbia

** P. Adzic\cmsAuthorMark43, P. Cirkovic, D. Devetak, M. Dordevic, J. Milosevic, V. Rekovic \cmsinstskip**Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT),  Madrid, Spain

** J. Alcaraz Maestre, M. Barrio Luna, M. Cerrada, N. Colino, B. De La Cruz, A. Delgado Peris, A. Escalante Del Valle, C. Fernandez Bedoya, J.P. Fernández Ramos, J. Flix, M.C. Fouz, P. Garcia-Abia, O. Gonzalez Lopez, S. Goy Lopez, J.M. Hernandez, M.I. Josa, A. Pérez-Calero Yzquierdo, J. Puerta Pelayo, A. Quintario Olmeda, I. Redondo, L. Romero, M.S. Soares, A. Álvarez Fernández \cmsinstskip**Universidad Autónoma de Madrid, Madrid, Spain

** J.F. de Trocóniz, M. Missiroli, D. Moran \cmsinstskip**Universidad de Oviedo, Oviedo, Spain

** J. Cuevas, C. Erice, J. Fernandez Menendez, I. Gonzalez Caballero, J.R. González Fernández, E. Palencia Cortezon, S. Sanchez Cruz, I. Suárez Andrés, P. Vischia, J.M. Vizan Garcia \cmsinstskip**Instituto de Física de Cantabria (IFCA),  CSIC-Universidad de Cantabria, Santander, Spain

** I.J. Cabrillo, A. Calderon, B. Chazin Quero, E. Curras, M. Fernandez, J. Garcia-Ferrero, G. Gomez, A. Lopez Virto, J. Marco, C. Martinez Rivero, P. Martinez Ruiz del Arbol, F. Matorras, J. Piedra Gomez, T. Rodrigo, A. Ruiz-Jimeno, L. Scodellaro, N. Trevisani, I. Vila, R. Vilar Cortabitarte \cmsinstskip**CERN, European Organization for Nuclear Research, Geneva, Switzerland

** D. Abbaneo, E. Auffray, P. Baillon, A.H. Ball, D. Barney, M. Bianco, P. Bloch, A. Bocci, C. Botta, T. Camporesi, R. Castello, M. Cepeda, G. Cerminara, E. Chapon, Y. Chen, D. d’Enterria, A. Dabrowski, V. Daponte, A. David, M. De Gruttola, A. De Roeck, E. Di Marco\cmsAuthorMark44, M. Dobson, B. Dorney, T. du Pree, M. Dünser, N. Dupont, A. Elliott-Peisert, P. Everaerts, G. Franzoni, J. Fulcher, W. Funk, D. Gigi, K. Gill, F. Glege, D. Gulhan, S. Gundacker, M. Guthoff, P. Harris, J. Hegeman, V. Innocente, P. Janot, O. Karacheban\cmsAuthorMark18, J. Kieseler, H. Kirschenmann, V. Knünz, A. Kornmayer\cmsAuthorMark15, M.J. Kortelainen, C. Lange, P. Lecoq, C. Lourenço, M.T. Lucchini, L. Malgeri, M. Mannelli, A. Martelli, F. Meijers, J.A. Merlin, S. Mersi, E. Meschi, P. Milenovic\cmsAuthorMark45, F. Moortgat, M. Mulders, H. Neugebauer, S. Orfanelli, L. Orsini, L. Pape, E. Perez, M. Peruzzi, A. Petrilli, G. Petrucciani, A. Pfeiffer, M. Pierini, A. Racz, T. Reis, G. Rolandi\cmsAuthorMark46, M. Rovere, H. Sakulin, C. Schäfer, C. Schwick, M. Seidel, M. Selvaggi, A. Sharma, P. Silva, P. Sphicas\cmsAuthorMark47, J. Steggemann, M. Stoye, M. Tosi, D. Treille, A. Triossi, A. Tsirou, V. Veckalns\cmsAuthorMark48, G.I. Veres\cmsAuthorMark20, M. Verweij, N. Wardle, W.D. Zeuner \cmsinstskip**Paul Scherrer Institut, Villigen, Switzerland

** W. Bertl${}^{\textrm{\textdagger}}$, K. Deiters, W. Erdmann, R. Horisberger, Q. Ingram, H.C. Kaestli, D. Kotlinski, U. Langenegger, T. Rohe, S.A. Wiederkehr \cmsinstskip**Institute for Particle Physics, ETH Zurich, Zurich, Switzerland

** F. Bachmair, L. Bäni, P. Berger, L. Bianchini, B. Casal, G. Dissertori, M. Dittmar, M. Donegà, C. Grab, C. Heidegger, D. Hits, J. Hoss, G. Kasieczka, T. Klijnsma, W. Lustermann, B. Mangano, M. Marionneau, M.T. Meinhard, D. Meister, F. Micheli, P. Musella, F. Nessi-Tedaldi, F. Pandolfi, J. Pata, F. Pauss, G. Perrin, L. Perrozzi, M. Quittnat, M. Rossini, M. Schönenberger, L. Shchutska, A. Starodumov\cmsAuthorMark49, V.R. Tavolaro, K. Theofilatos, M.L. Vesterbacka Olsson, R. Wallny, A. Zagozdzinska\cmsAuthorMark35, D.H. Zhu \cmsinstskip**Universität Zürich, Zurich, Switzerland

** T.K. Aarrestad, C. Amsler\cmsAuthorMark50, L. Caminada, M.F. Canelli, A. De Cosa, S. Donato, C. Galloni, A. Hinzmann, T. Hreus, B. Kilminster, J. Ngadiuba, D. Pinna, G. Rauco, P. Robmann, D. Salerno, C. Seitz, A. Zucchetta \cmsinstskip**National Central University, Chung-Li, Taiwan

** V. Candelise, T.H. Doan, Sh. Jain, R. Khurana, M. Konyushikhin, C.M. Kuo, W. Lin, A. Pozdnyakov, S.S. Yu \cmsinstskip**National Taiwan University (NTU),  Taipei, Taiwan

** Arun Kumar, P. Chang, Y. Chao, K.F. Chen, P.H. Chen, F. Fiori, W.-S. Hou, Y. Hsiung, Y.F. Liu, R.-S. Lu, M. Miñano Moya, E. Paganis, A. Psallidas, J.f. Tsai \cmsinstskip**Chulalongkorn University, Faculty of Science, Department of Physics, Bangkok, Thailand

** B. Asavapibhop, K. Kovitanggoon, G. Singh, N. Srimanobhas \cmsinstskip**Çukurova University, Physics Department, Science and Art Faculty, Adana, Turkey

** A. Adiguzel\cmsAuthorMark51, F. Boran, S. Damarseckin, Z.S. Demiroglu, C. Dozen, E. Eskut, S. Girgis, G. Gokbulut, Y. Guler, I. Hos\cmsAuthorMark52, E.E. Kangal\cmsAuthorMark53, O. Kara, A. Kayis Topaksu, U. Kiminsu, M. Oglakci, G. Onengut\cmsAuthorMark54, K. Ozdemir\cmsAuthorMark55, S. Ozturk\cmsAuthorMark56, A. Polatoz, B. Tali\cmsAuthorMark57, S. Turkcapar, I.S. Zorbakir, C. Zorbilmez \cmsinstskip**Middle East Technical University, Physics Department, Ankara, Turkey

** B. Bilin, G. Karapinar\cmsAuthorMark58, K. Ocalan\cmsAuthorMark59, M. Yalvac, M. Zeyrek \cmsinstskip**Bogazici University, Istanbul, Turkey

** E. Gülmez, M. Kaya\cmsAuthorMark60, O. Kaya\cmsAuthorMark61, S. Tekten, E.A. Yetkin\cmsAuthorMark62 \cmsinstskip**Istanbul Technical University, Istanbul, Turkey

** M.N. Agaras, S. Atay, A. Cakir, K. Cankocak \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, P. Sorokin \cmsinstskip**University of Bristol, Bristol, United Kingdom

** R. Aggleton, F. Ball, L. Beck, J.J. Brooke, D. Burns, E. Clement, D. Cussans, H. Flacher, J. Goldstein, M. Grimes, G.P. Heath, H.F. Heath, J. Jacob, L. Kreczko, C. Lucas, D.M. Newbold\cmsAuthorMark63, S. Paramesvaran, A. Poll, T. Sakuma, S. Seif El Nasr-storey, D. Smith, V.J. Smith \cmsinstskip**Rutherford Appleton Laboratory, Didcot, United Kingdom

** K.W. Bell, A. Belyaev\cmsAuthorMark64, C. Brew, R.M. Brown, L. Calligaris, D. Cieri, D.J.A. Cockerill, J.A. Coughlan, K. Harder, S. Harper, E. Olaiya, D. Petyt, C.H. Shepherd-Themistocleous, A. Thea, I.R. Tomalin, T. Williams \cmsinstskip**Imperial College, London, United Kingdom

** M. Baber, R. Bainbridge, S. Breeze, O. Buchmuller, A. Bundock, S. Casasso, M. Citron, D. Colling, L. Corpe, P. Dauncey, G. Davies, A. De Wit, M. Della Negra, R. Di Maria, P. Dunne, A. Elwood, D. Futyan, Y. Haddad, G. Hall, G. Iles, T. James, R. Lane, C. Laner, L. Lyons, A.-M. Magnan, S. Malik, L. Mastrolorenzo, T. Matsushita, J. Nash, A. Nikitenko\cmsAuthorMark49, J. Pela, M. Pesaresi, D.M. Raymond, A. Richards, A. Rose, E. Scott, C. Seez, A. Shtipliyski, S. Summers, A. Tapper, K. Uchida, M. Vazquez Acosta\cmsAuthorMark65, T. Virdee\cmsAuthorMark15, D. Winterbottom, J. Wright, S.C. Zenz \cmsinstskip**Brunel University, Uxbridge, United Kingdom

** J.E. Cole, P.R. Hobson, A. Khan, P. Kyberd, I.D. Reid, P. Symonds, L. Teodorescu, M. Turner \cmsinstskip**Baylor University, Waco, USA

** A. Borzou, K. Call, J. Dittmann, K. Hatakeyama, H. Liu, N. Pastika \cmsinstskip**Catholic University of America, Washington DC, USA

** R. Bartek, A. Dominguez \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, A. Avetisyan, T. Bose, D. Gastler, D. Rankin, C. Richardson, J. Rohlf, L. Sulak, D. Zou \cmsinstskip**Brown University, Providence, USA

** G. Benelli, D. Cutts, A. Garabedian, J. Hakala, U. Heintz, J.M. Hogan, K.H.M. Kwok, E. Laird, G. Landsberg, Z. Mao, M. Narain, S. Piperov, S. Sagir, R. Syarif, D. Yu \cmsinstskip**University of California, Davis, Davis, USA

** R. Band, C. Brainerd, D. Burns, M. Calderon De La Barca Sanchez, M. Chertok, J. Conway, R. Conway, P.T. Cox, R. Erbacher, C. Flores, G. Funk, M. Gardner, W. Ko, R. Lander, C. Mclean, M. Mulhearn, D. Pellett, J. Pilot, S. Shalhout, M. Shi, J. Smith, M. Squires, D. Stolp, K. Tos, M. Tripathi, Z. Wang \cmsinstskip**University of California, Los Angeles, USA

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

** E. Bouvier, K. Burt, R. Clare, J. Ellison, J.W. Gary, S.M.A. Ghiasi Shirazi, G. Hanson, J. Heilman, P. Jandir, E. Kennedy, F. Lacroix, O.R. Long, M. Olmedo Negrete, M.I. Paneva, A. Shrinivas, W. Si, H. Wei, S. Wimpenny, B. R. Yates \cmsinstskip**University of California, San Diego, La Jolla, USA

** J.G. Branson, S. Cittolin, M. Derdzinski, B. Hashemi, A. Holzner, D. Klein, G. Kole, V. Krutelyov, J. Letts, I. Macneill, M. Masciovecchio, D. Olivito, S. Padhi, M. Pieri, M. Sani, V. Sharma, S. Simon, M. Tadel, A. Vartak, S. Wasserbaech\cmsAuthorMark66, J. Wood, F. Würthwein, A. Yagil, G. Zevi Della Porta \cmsinstskip**University of California, Santa Barbara - Department of Physics, Santa Barbara, USA

** N. Amin, R. Bhandari, J. Bradmiller-Feld, C. Campagnari, A. Dishaw, V. Dutta, M. Franco Sevilla, C. George, F. Golf, L. Gouskos, J. Gran, R. Heller, J. Incandela, S.D. Mullin, A. Ovcharova, H. Qu, J. Richman, D. Stuart, I. Suarez, J. Yoo \cmsinstskip**California Institute of Technology, Pasadena, USA

** D. Anderson, J. Bendavid, A. Bornheim, J.M. Lawhorn, H.B. Newman, T. Nguyen, C. Pena, 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, J. Russ, M. Sun, H. Vogel, I. Vorobiev, M. Weinberg \cmsinstskip**University of Colorado Boulder, Boulder, USA

** J.P. Cumalat, W.T. Ford, F. Jensen, A. Johnson, M. Krohn, S. Leontsinis, T. Mulholland, K. Stenson, S.R. Wagner \cmsinstskip**Cornell University, Ithaca, USA

** J. Alexander, J. Chaves, J. Chu, S. Dittmer, K. Mcdermott, N. Mirman, J.R. Patterson, A. Rinkevicius, A. Ryd, L. Skinnari, L. Soffi, S.M. Tan, Z. Tao, J. Thom, J. Tucker, P. Wittich, M. Zientek \cmsinstskip**Fermi National Accelerator Laboratory, Batavia, USA

** S. Abdullin, M. Albrow, G. Apollinari, A. Apresyan, A. Apyan, S. Banerjee, L.A.T. Bauerdick, A. Beretvas, J. Berryhill, P.C. Bhat, G. Bolla, 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, R.M. Harris, S. Hasegawa, J. Hirschauer, Z. Hu, B. Jayatilaka, S. Jindariani, M. Johnson, U. Joshi, B. Klima, B. Kreis, S. Lammel, D. Lincoln, R. Lipton, M. Liu, T. Liu, R. Lopes De Sá, J. Lykken, K. Maeshima, N. Magini, J.M. Marraffino, S. Maruyama, D. Mason, P. McBride, P. Merkel, S. Mrenna, S. Nahn, V. O’Dell, K. Pedro, O. Prokofyev, G. Rakness, L. Ristori, B. Schneider, E. Sexton-Kennedy, 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, A. Whitbeck \cmsinstskip**University of Florida, Gainesville, USA

** D. Acosta, P. Avery, P. Bortignon, A. Brinkerhoff, A. Carnes, M. Carver, D. Curry, S. Das, R.D. Field, I.K. Furic, J. Konigsberg, A. Korytov, K. Kotov, P. Ma, K. Matchev, H. Mei, G. Mitselmakher, D. Rank, D. Sperka, N. Terentyev, L. Thomas, J. Wang, S. Wang, J. Yelton \cmsinstskip**Florida International University, Miami, USA

** Y.R. Joshi, S. Linn, P. Markowitz, G. Martinez, J.L. Rodriguez \cmsinstskip**Florida State University, Tallahassee, USA

** A. Ackert, T. Adams, A. Askew, S. Hagopian, V. Hagopian, K.F. Johnson, T. Kolberg, T. Perry, H. Prosper, A. Santra, R. Yohay \cmsinstskip**Florida Institute of Technology, Melbourne, USA

** M.M. Baarmand, V. Bhopatkar, S. Colafranceschi, M. Hohlmann, D. Noonan, T. Roy, 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, O. Evdokimov, C.E. Gerber, D.A. Hangal, D.J. Hofman, K. Jung, J. Kamin, I.D. Sandoval Gonzalez, M.B. Tonjes, H. Trauger, N. Varelas, H. Wang, Z. Wu, J. Zhang \cmsinstskip**The University of Iowa, Iowa City, USA

** B. Bilki\cmsAuthorMark67, W. Clarida, K. Dilsiz\cmsAuthorMark68, S. Durgut, R.P. Gandrajula, M. Haytmyradov, V. Khristenko, J.-P. Merlo, H. Mermerkaya\cmsAuthorMark69, A. Mestvirishvili, A. Moeller, J. Nachtman, H. Ogul\cmsAuthorMark70, Y. Onel, F. Ozok\cmsAuthorMark71, A. Penzo, C. Snyder, E. Tiras, J. Wetzel, K. Yi \cmsinstskip**Johns Hopkins University, Baltimore, USA

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

** A. Al-bataineh, P. Baringer, A. Bean, S. Boren, J. Bowen, J. Castle, S. Khalil, A. Kropivnitskaya, D. Majumder, W. Mcbrayer, M. Murray, C. Royon, S. Sanders, E. Schmitz, R. Stringer, J.D. Tapia Takaki, Q. Wang \cmsinstskip**Kansas State University, Manhattan, USA

** A. Ivanov, K. Kaadze, Y. Maravin, A. Mohammadi, L.K. Saini, N. Skhirtladze, S. Toda \cmsinstskip**Lawrence Livermore National Laboratory, Livermore, USA

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

** C. Anelli, A. Baden, O. Baron, A. Belloni, B. Calvert, S.C. Eno, C. Ferraioli, N.J. Hadley, S. Jabeen, G.Y. Jeng, R.G. Kellogg, J. Kunkle, A.C. Mignerey, F. Ricci-Tam, Y.H. Shin, A. Skuja, S.C. Tonwar \cmsinstskip**Massachusetts Institute of Technology, Cambridge, USA

** D. Abercrombie, B. Allen, V. Azzolini, R. Barbieri, A. Baty, R. Bi, S. Brandt, W. Busza, I.A. Cali, M. D’Alfonso, Z. Demiragli, G. Gomez Ceballos, M. Goncharov, D. Hsu, Y. Iiyama, G.M. Innocenti, M. Klute, D. Kovalskyi, Y.S. Lai, Y.-J. Lee, A. Levin, P.D. Luckey, B. Maier, A.C. Marini, C. Mcginn, C. Mironov, S. Narayanan, X. Niu, C. Paus, C. Roland, G. Roland, J. Salfeld-Nebgen, G.S.F. Stephans, K. Tatar, D. Velicanu, J. Wang, T.W. Wang, B. Wyslouch \cmsinstskip**University of Minnesota, Minneapolis, USA

** A.C. Benvenuti, R.M. Chatterjee, A. Evans, P. Hansen, S. Kalafut, Y. Kubota, Z. Lesko, J. Mans, S. Nourbakhsh, N. Ruckstuhl, R. Rusack, J. Turkewitz \cmsinstskip**University of Mississippi, Oxford, USA

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

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

** M. Alyari, J. Dolen, A. Godshalk, C. Harrington, I. Iashvili, D. Nguyen, A. Parker, S. Rappoccio, B. Roozbahani \cmsinstskip**Northeastern University, Boston, USA

** G. Alverson, E. Barberis, A. Hortiangtham, A. Massironi, D.M. Morse, D. Nash, T. Orimoto, R. Teixeira De Lima, D. Trocino, R.-J. Wang, D. Wood \cmsinstskip**Northwestern University, Evanston, USA

** S. Bhattacharya, O. Charaf, K.A. Hahn, N. Mucia, N. Odell, B. Pollack, M.H. Schmitt, K. Sung, M. Trovato, M. Velasco \cmsinstskip**University of Notre Dame, Notre Dame, USA

** N. Dev, M. Hildreth, K. Hurtado Anampa, C. Jessop, D.J. Karmgard, N. Kellams, K. Lannon, N. Loukas, N. Marinelli, F. Meng, C. Mueller, Y. Musienko\cmsAuthorMark36, M. Planer, A. Reinsvold, R. Ruchti, G. Smith, S. Taroni, M. Wayne, M. Wolf, A. Woodard \cmsinstskip**The Ohio State University, Columbus, USA

** J. Alimena, L. Antonelli, B. Bylsma, L.S. Durkin, S. Flowers, B. Francis, A. Hart, C. Hill, W. Ji, B. Liu, W. Luo, D. Puigh, B.L. Winer, H.W. Wulsin \cmsinstskip**Princeton University, Princeton, USA

** A. Benaglia, S. Cooperstein, O. Driga, P. Elmer, J. Hardenbrook, P. Hebda, D. Lange, J. Luo, D. Marlow, K. Mei, I. Ojalvo, J. Olsen, C. Palmer, P. Piroué, D. Stickland, A. Svyatkovskiy, C. Tully \cmsinstskip**University of Puerto Rico, Mayaguez, USA

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

** A. Barker, V.E. Barnes, S. Folgueras, L. Gutay, M.K. Jha, M. Jones, A.W. Jung, A. Khatiwada, D.H. Miller, N. Neumeister, J.F. Schulte, J. Sun, F. Wang, W. Xie \cmsinstskip**Purdue University Northwest, Hammond, USA

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

** A. Adair, B. Akgun, Z. Chen, K.M. Ecklund, F.J.M. Geurts, M. Guilbaud, W. Li, B. Michlin, M. Northup, B.P. Padley, J. Roberts, J. Rorie, Z. Tu, J. Zabel \cmsinstskip**University of Rochester, Rochester, USA

** A. Bodek, P. de Barbaro, R. Demina, Y.t. Duh, T. Ferbel, M. Galanti, A. Garcia-Bellido, J. Han, O. Hindrichs, A. Khukhunaishvili, K.H. Lo, P. Tan, M. Verzetti \cmsinstskip**The Rockefeller University, New York, USA

** R. Ciesielski, K. Goulianos, C. Mesropian \cmsinstskip**Rutgers, The State University of New Jersey, Piscataway, USA

** A. Agapitos, J.P. Chou, Y. Gershtein, T.A. Gómez Espinosa, E. Halkiadakis, M. Heindl, E. Hughes, S. Kaplan, R. Kunnawalkam Elayavalli, S. Kyriacou, A. Lath, R. Montalvo, K. Nash, M. Osherson, H. Saka, S. Salur, S. Schnetzer, D. Sheffield, S. Somalwar, R. Stone, S. Thomas, P. Thomassen, M. Walker \cmsinstskip**University of Tennessee, Knoxville, USA

** M. Foerster, J. Heideman, G. Riley, K. Rose, S. Spanier, K. Thapa \cmsinstskip**Texas A&M University, College Station, USA

** O. Bouhali\cmsAuthorMark72, A. Castaneda Hernandez\cmsAuthorMark72, A. Celik, M. Dalchenko, M. De Mattia, A. Delgado, S. Dildick, R. Eusebi, J. Gilmore, T. Huang, T. Kamon\cmsAuthorMark73, R. Mueller, Y. Pakhotin, R. Patel, A. Perloff, L. Perniè, D. Rathjens, A. Safonov, A. Tatarinov, K.A. Ulmer \cmsinstskip**Texas Tech University, Lubbock, USA

** N. Akchurin, J. Damgov, F. De Guio, P.R. Dudero, J. Faulkner, E. Gurpinar, S. Kunori, K. Lamichhane, S.W. Lee, T. Libeiro, T. Peltola, S. Undleeb, I. Volobouev, Z. Wang \cmsinstskip**Vanderbilt University, Nashville, USA

** S. Greene, A. Gurrola, R. Janjam, W. Johns, C. Maguire, A. Melo, H. Ni, P. Sheldon, S. Tuo, J. Velkovska, Q. Xu \cmsinstskip**University of Virginia, Charlottesville, USA

** M.W. Arenton, P. Barria, B. Cox, R. Hirosky, A. Ledovskoy, H. Li, C. Neu, T. Sinthuprasith, X. Sun, Y. Wang, E. Wolfe, F. Xia \cmsinstskip**Wayne State University, Detroit, USA

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

** J. Buchanan, C. Caillol, S. Dasu, L. Dodd, S. Duric, B. Gomber, M. Grothe, M. Herndon, A. Hervé, U. Hussain, P. Klabbers, A. Lanaro, A. Levine, K. Long, R. Loveless, G.A. Pierro, G. Polese, T. Ruggles, A. Savin, N. Smith, W.H. Smith, D. Taylor, N. Woods \cmsinstskip†: Deceased

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

2:  Also at State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China

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

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

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

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

7:  Also at Helwan University, Cairo, Egypt

8:  Now at Zewail City of Science and Technology, Zewail, Egypt

9:  Now at Fayoum University, El-Fayoum, Egypt

10: Also at British University in Egypt, Cairo, Egypt

11: Now at Ain Shams University, Cairo, Egypt

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

13: Also at Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow, Russia

14: Also at Ilia State University, Tbilisi, Georgia

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

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

17: Also at University of Hamburg, Hamburg, Germany

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

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

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

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

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

23: Also at Institute of Physics, Bhubaneswar, India

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

25: Also at University of Ruhuna, Matara, Sri Lanka

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

27: Also at Yazd University, Yazd, Iran

28: Also at Plasma Physics Research Center, Science and Research Branch, Islamic Azad University, Tehran, Iran

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

30: Also at INFN Sezione di Milano-Bicocca; Università di Milano-Bicocca, Milano, Italy

31: Also at Purdue University, West Lafayette, USA

32: Also at International Islamic University of Malaysia, Kuala Lumpur, Malaysia

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

34: Also at Consejo Nacional de Ciencia y Tecnología, Mexico city, Mexico

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

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

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

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

39: Also at University of Florida, Gainesville, USA

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

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

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

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

44: Also at INFN Sezione di Roma; Sapienza Università di Roma, Rome, Italy

45: Also at University of Belgrade, Faculty of Physics and Vinca Institute of Nuclear Sciences, Belgrade, Serbia

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

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

48: Also at Riga Technical University, Riga, Latvia

49: Also at Institute for Theoretical and Experimental Physics, Moscow, Russia

50: Also at Albert Einstein Center for Fundamental Physics, Bern, Switzerland

51: Also at Istanbul University, Faculty of Science, Istanbul, Turkey

52: Also at Istanbul Aydin University, Istanbul, Turkey

53: Also at Mersin University, Mersin, Turkey

54: Also at Cag University, Mersin, Turkey

55: Also at Piri Reis University, Istanbul, Turkey

56: Also at Gaziosmanpasa University, Tokat, Turkey

57: Also at Adiyaman University, Adiyaman, Turkey

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

59: Also at Necmettin Erbakan University, Konya, Turkey

60: Also at Marmara University, Istanbul, Turkey

61: Also at Kafkas University, Kars, Turkey

62: Also at Istanbul Bilgi University, Istanbul, Turkey

63: Also at Rutherford Appleton Laboratory, Didcot, United Kingdom

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

65: Also at Instituto de Astrofísica de Canarias, La Laguna, Spain

66: Also at Utah Valley University, Orem, USA

67: Also at Beykent University, Istanbul, Turkey

68: Also at Bingol University, Bingol, Turkey

69: Also at Erzincan University, Erzincan, Turkey

70: Also at Sinop University, Sinop, Turkey

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

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

73: Also at Kyungpook National University, Daegu, Korea