Search for long-lived particles using nonprompt jets and missing transverse momentum with proton-proton collisions at $\sqrt{s} =$ 13 TeV

TL;DR

This paper reports a search for long-lived particles decaying into displaced jets and missing energy using CMS data, setting new limits on gluino masses for various decay lengths in a supersymmetry model.

Contribution

It introduces a novel search method utilizing CMS calorimeter timing to identify nonprompt jets and provides the most stringent limits to date on gluino masses with long decay lengths.

Findings

No excess over background observed.

Excluded gluino masses up to 2500 GeV for certain decay lengths.

Established the best limits for gluinos with decay lengths > 0.5 m.

Abstract

A search for long-lived particles decaying to displaced, nonprompt jets and missing transverse momentum is presented. The data sample corresponds to an integrated luminosity of 137 fb$^{-1}$ of proton-proton collisions at a center-of-mass energy of 13 TeV collected by the CMS experiment at the CERN LHC in 2016-2018. Candidate signal events containing nonprompt jets are identified using the timing capabilities of the CMS electromagnetic calorimeter. The results of the search are consistent with the background prediction and are interpreted using a gauge-mediated supersymmetry breaking reference model with a gluino next-to-lightest supersymmetric particle. In this model, gluino masses up to 2100, 2500, and 1900 GeV are excluded at 95% confidence level for proper decay lengths of 0.3, 1, and 100 m, respectively. These are the best limits to date for such massive gluinos with proper decay lengths greater than $\sim$0.5 m.

Full text

0.1 Introduction

A large number of models for physics beyond the standard model predict long-lived particles that may be produced at the CERN LHC and decay into final states containing jets with missing transverse momentum, \ptmiss [1]. These models include supersymmetry (SUSY) with gauge-mediated SUSY breaking (GMSB) [2], split and stealth SUSY [3, 4, 5], and hidden valley models [6]. The \ptmissmay arise from a stable neutral weakly interacting particle in the final state or from a heavy neutral long-lived particle that decays outside the detector.

The timing capabilities of the CMS electromagnetic calorimeter (ECAL) [7] are used to identify nonprompt or “delayed” jets produced by the displaced decays of heavy long-lived particles within the ECAL volume or within the tracking volume bounded by the ECAL. The delay is expected to be a few ns for a TeV scale particle that travels $\sim$1\unitm before decaying. A representative GMSB model is used as a benchmark to quantify the sensitivity of the search. In this model, pair-produced long-lived gluinos each decay into a gluon, which forms a jet, and a gravitino, which escapes the detector causing significant \ptmissin the event. A diagram showing the benchmark model is shown in Fig. 1 (left figure).

There have been multiple searches for long-lived particles decaying to jets by the ATLAS [8], CMS [9] and LHCb [10] Collaborations at $\sqrt{s}=7\TeV$, $\sqrt{s}=8\TeV$ and $\sqrt{s}=13\TeV$ [11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25]. The use of calorimeter timing has so far been limited to searches targeting displaced photons at $\sqrt{s}=8\TeV$ [26, 27]. The present study represents the first application of ECAL timing to a search for nonprompt jets from long-lived particle decays. This technique allows the reduction of background contributions to the few event level, while retaining high efficiency for signal signatures of one or more displaced jets and \ptmissin the final state. As detailed in Ref. [28], this approach brings significant new sensitivity to long-lived particle searches. A diagram of a characteristic event targeted by this analysis is shown in Fig. 1 (right figure). Such an event would escape reconstruction in a tracker-based search because of the difficulty in reconstructing tracks that originate from decay points separated from the primary vertex by more than $\sim$50\cmin the plane perpendicular to the beam axis. There are two effects that contribute to the time delay of jets from the decay of heavy long-lived particles. First, the indirect path, composed of the initial long-lived particle and the subsequent jet trajectories, will be longer, and second, the long-lived particle will move with a lower velocity owing to its high mass. The latter is the dominant effect for the signal models considered in this analysis.

0.2 The CMS detector

The central feature of the CMS detector 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 ECAL, and a brass and scintillator hadron calorimeter (HCAL), each composed of a barrel and two endcap sections. Forward calorimeters extend the pseudorapidity coverage provided by the barrel and endcap detectors. The silicon tracker measures charged particles within the pseudorapidity range $\abs{\eta}<2.5$. It consists of 1440 silicon pixel and 15 148 silicon strip detector modules. For nonisolated particles with $1<\pt<10\GeV$, in the region $\abs{\eta}<1.4$, the track resolutions are typically 1.5% in \ptand 25–90 (45–150)\mumin the transverse (longitudinal) impact parameter [29]. The HCAL is segmented into individual calorimeter cells along pseudorapidity ($\eta$), azimuth ($\phi$), and depth. The barrel muon system is composed of drift-tubes (DTs) and resistive plate chambers (RPCs). These provide high resolution hit positioning and timing to determine the muon trajectory. The hits in the DTs are clustered into track segments, referred to as DT segments, as detailed in Ref. [30]. In the forward region, RPCs are used along with cathode strip chambers (CSCs), which have greater resistance to the higher radiation flux occurring along the beamline than DTs. A more detailed description of the CMS detector, together with a definition of the coordinate system used and the relevant kinematical variables, can be found in Ref. [9].

The CMS ECAL consists of 75 848 lead tungstate crystals, which provide coverage in pseudorapidity $\abs{\eta}<1.48$ in a barrel region (EB) and $1.48<\abs{\eta}<3.00$ in two endcap regions (EE). This analysis relies on the timing capabilities of the EB [7]. The ECAL measures the energy of incoming electromagnetic particles through the scintillation light produced in the lead tungstate crystals. Silicon avalanche photodiodes (APDs) are used as photodetectors in the barrel region. These are capable of measuring the time of incoming particles with a resolution as low as $\sim$200\unitps for energy deposits above 50\GeV [31]. Each ECAL crystal with an APD unit attached is referred to as an ECAL cell.

In the region $\abs{\eta}<1.74$, the HCAL cells have widths of 0.087 in $\eta$ and 0.087 in $\phi$. In the $\eta$–$\phi$ plane, and for $\abs{\eta}<1.48$, the HCAL cells map on to $5{\times}5$ arrays of ECAL crystals to form calorimeter towers projecting radially outwards from close to the nominal interaction point. For $\abs{\eta}>1.74$, the coverage of the towers increases progressively to a maximum of 0.174 in $\Delta\eta$ and $\Delta\phi$. Within each tower, the energy deposits in ECAL and HCAL cells are summed to define the calorimeter tower energies, subsequently used to provide the energies and directions of hadronic jets.

Events of interest are selected using a two-tiered trigger system [32]. The first level, composed of custom hardware processors, uses information from the calorimeters and muon detectors to select events at a rate of around 100\unitkHz within a time interval of less than 4\mus. The second level, known as the high-level trigger (HLT), consists of a farm of processors running a version of the full event reconstruction software optimized for fast processing, and reduces the event rate to around 1\unitkHz before data storage.

0.3 Object and event reconstruction

The primary physics objects used in this analysis are jets reconstructed from the energy deposits in the calorimeter towers, clustered using the anti-\ktalgorithm [33, 34] with a distance parameter of 0.4. The contribution from each calorimeter tower is assigned the coordinates of the tower and a momentum, the absolute value and the direction of which are found from the energy measured in the tower assuming that the contributing particles originated at the center of the detector. The raw jet energy is obtained from the sum of the tower energies, and the raw jet momentum by the vectorial sum of the tower momenta, which are found from the energy measured in the tower. The raw jet energies are then corrected to reflect a uniform relative response of the calorimeter in $\eta$ and a calibrated absolute response in transverse momentum \pt [35]. Jets reconstructed using the CMS particle flow (PF) algorithm [36] are not used in this analysis because nonprompt jets do not produce reliable information in the tracker and out-of-time energy deposits are not included in the PF jet reconstruction.

All reconstructed vertices in the event, consistent with originating from a proton-proton ($\Pp\Pp$) interaction, are considered to be primary vertices (PVs) [29]. Each track that is identified as originating from a PV is associated with a jet if the separation of the track from the jet axis $\Delta R=\sqrt{\smash[b]{(\Delta\eta)^{2}+(\Delta\phi)^{2}}}<0.4$, where $\Delta\eta$ and $\Delta\phi$ represent the difference (in radians) between the jet axis and the track in the pseudorapidity and in the azimuthal direction, respectively.

The jet timing is determined using all ECAL cells that satisfy $\Delta R<0.4$ between the jet axis and cell position, that exceed an energy threshold of 0.5\GeVand that satisfy reconstruction quality criteria. For each cell within the ECAL detector, the timing offset is defined such that a particle traveling at the speed of light from the center of the collision region to the cell position arrives at time zero. Energy deposits with a recorded time that is either less than $-20\unit{ns}$ or greater than 20\unitns are rejected, to remove events originating from preceding or following bunch collisions, respectively. The time of the jet, $t_{\textrm{jet}}$, is defined by the median cell time. The jet-based requirements used to reject the dominant background sources, referred to as the signal jet requirements, are detailed in Section 0.5.

The missing transverse momentum vector, \ptvecmiss, used for this analysis is defined as the projection on the plane perpendicular to the beams of the negative vector sum of calorimeter momenta deposits in an event satisfying reconstruction quality criteria chosen to reduce instrumental noise effects, but with no rejection of out-of-time ECAL cells.

0.4 Data sets and simulated samples

The data sample was collected in 2016, 2017, and 2018 by the CMS detector in $\Pp\Pp$ collisions at a center-of-mass energy of 13\TeV, corresponding to an integrated luminosity of $137\pm 3.3\fbinv$ [37, 38, 39]. The trigger required the events to satisfy $\ptmiss\textrm{ (trigger)}>120\GeV$. This is computed as the negative vector \ptvecsum of all HLT PF candidates, which include out-of-time deposits [40].

The search is interpreted using the GMSB signal model with samples produced with gluino masses from 1000 to 3000\GeV, and proper decay lengths ($c\tau_{0}$) varying from 0.3 to 100\unitm. The gluino pair production cross sections are determined at approximate-NNLO+NNLL order in $\alpha_{\textrm{s}}$  [41, 42, 43, 44, 45, 46, 47]. All other SUSY particles, apart from the gravitino, are assumed to be heavy and decoupled from the interaction. Signal samples are produced with \PYTHIA8.212 [48], and NNPDF3.1LO [49] is used for parton distribution function (PDF) modeling. If a gluino is long-lived, it will have enough time to form a hadronic state, an R-hadron [50, 51, 52], which is simulated with \PYTHIA8.212. For underlying event modeling the CP2 tune is used [53].

Systematic uncertainties in the modeling of the jet-based variables discussed in Section 0.5 are derived using a simulated sample of jets produced through the strong interaction, referred to as quantum chromodynamics (QCD) multijet events. This sample is simulated with the \MGvATNLO2.2.2 [54] event generator at leading-order (LO) accuracy. This generator is interfaced with \PYTHIA8.212 for hadronization and fragmentation. The jets from the matrix element calculations are matched to parton shower jets using the MLM algorithm [54]. The underlying event is modeled using the CUETP8M1 (CP5) tune [53] for simulation with NNPDF3.0NLO (NNPDF3.1NNLO) [49] used for PDF modeling for the 2016 (2017 and 2018) detector operating conditions.

The description of the detector response is implemented using the \GEANTfour [55] package for all simulated processes. To model the effect of additional $\Pp\Pp$ interactions within the same bunch crossing (in-time pileup) or nearby bunch crossings (out-of-time pileup), minimum bias events generated with \PYTHIAare added to the simulated event sample, with a frequency distribution per bunch crossing weighted to match that observed in data.

0.5 Event and object selection

The selection criteria are optimized taking into account the principal background sources that produce delayed timing signals, which are detailed below.

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ECAL time resolution tails: these tails affect the collisions of in-time (“core”) bunches and arise from intercalibration uncertainties, crystal-dependent variations in scintillation rise time, loss of crystal transparency because of radiation, and run-by-run shifts associated with the readout electronics [31].

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Electronic noise: electronic noise in the ECAL can cause individual cells to record deposits at arbitrary times, typically with low energies, and uncorrelated with surrounding cells.

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Direct ionization in the APD: the traversal of a charged particle produces a signal that is $\sim$11\unitns earlier than the signal from scintillation light. However, the ionization signal may arrive later if the associated charged particle travels back from the HCAL, or is associated with a later bunch crossing.

• •

In-time pileup: additional $\Pp\Pp$ collisions in the same bunch crossing can produce particles with a spread in collision time and with varying flight paths, depending on the point of origin along the beam axis. These effects result in timing shifts of up to a few hundred ps.

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Out-of-time pileup: additional $\Pp\Pp$ collisions in neighboring bunch crossings can result in deposits that are delayed by integer multiples of the bunch spacing (25\unitns).

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Satellite bunches: the LHC radiofrequency (RF) cavities operate at a frequency of 400 MHz, such that RF “buckets” are separated by $\sim$2.5\unitns. In order to achieve the desired bunch spacing, only one in ten of these buckets (separated by 25\unitns) is filled. However, adjacent “satellite” bunches may also contain protons at a level corresponding to $\mathcal{O}(10^{-5})$ times that of the main bunch.

• •

Beam halo: collisions between beam protons and an LHC collimator [56] can result in muons that pass through the detector approximately parallel to the beam line. These “beam halo” muons can deposit energy within the ECAL, causing an early signal if the beam halo is from the current or previous bunch or a delayed signal if the beam halo originates from a following bunch.

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Cosmic ray muon hits: cosmic ray muons may cause deposits in the ECAL that occur at random times.

The events considered in this analysis as including candidate long-lived particles are required to satisfy a series of selections that define the signal region (SR). Each requirement is chosen to be at least $\sim$90% efficient for jets from the decay of a TeV scale long-lived particle while allowing at least a factor $\sim$10 rejection of the identified background process. In order to predict background contributions to the SR, some of these requirements are inverted to enhance particular background processes, as detailed in Section 0.6.

0.5.1 Jet selection

Baseline jet selection

All jets considered in this analysis must pass baseline \ptand $\eta$ requirements. A requirement of $\pt>30\GeV$ is imposed to reduce contributions from pileup jets. For the SR, further mitigation of pileup jets is achieved through selections detailed in Section 0.5.1. The jets are required to satisfy $\abs{\eta}<1.48$ so that they are reconstructed in the EB. The barrel requirement is made because the timing resolution is significantly better in this region compared with the endcap [31], and jets of the targeted signal model are strongly peaked in the central $\eta$ region.

Signal jet selection

The SR requirement on the jet time is $t_{\textrm{jet}}>3\unit{ns}$. The timing resolution improves for higher energy ECAL deposits before reaching a plateau [31]. A requirement on the ECAL energy component of the jet of $E_{\textrm{ECAL}}>20\GeV$ is applied as this threshold was found to optimize the timing resolution of the jets while ensuring high signal efficiency.

Jets from signal events are expected to have a large number of ECAL cells ($N^{\textrm{cell}}_{\textrm{ECAL}}$) hit, while jets dominated by direct APD hits or ECAL noise often have a low number of cells hit. A threshold of $N^{\textrm{cell}}_{\textrm{ECAL}}>25$ is applied to reject these background sources.

Jets from signal events will typically have similar energy depositions in the ECAL and HCAL, while jets originating from noise or beam halo typically have a small or zero HCAL energy component ($E_{\textrm{HCAL}}$). In order to reject such background sources, jets are required to have a hadronic energy fraction $\textrm{HEF}=E_{\textrm{HCAL}}/(E_{\textrm{ECAL}}+E_{\textrm{HCAL}})>0.2$. An additional requirement of $E_{\textrm{HCAL}}>50\GeV$ is made to reject background contributions from noise and beam halo as well as to ensure a well-measured hadronic component.

Signal jets typically have a small RMS in the time of the constituent cells ($t^{\textrm{RMS}}_{\textrm{jet}}$) as all the component cells originate from the same delayed jet. Jets that are significantly delayed because of contributions from uncorrelated noise often contain cells that are widely spread in time. In such cases the $t^{\textrm{RMS}}_{\textrm{jet}}$ will be correlated with $t_{\textrm{jet}}$, so a requirement is made on both $t^{\textrm{RMS}}_{\textrm{jet}}<0.4t_{\textrm{jet}}$ and $t^{\textrm{RMS}}_{\textrm{jet}}<2.5\unit{ns}$.

Jets that originate from a PV and have a mismeasured time or originate from satellite bunch collisions typically contain significant total momentum in tracks associated with their PV. The ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}$, defined as the ratio of the total \ptof all PV tracks matched to the jet ($\Delta R<0.5$) to the transverse calorimeter energy of the jet, is used to select potential signal jets that do not originate from a PV. A requirement of ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}<0.08$ is applied.

Beam halo muons will travel directly through the CSCs before leaving energy deposits in the ECAL, so the fraction of ECAL energy that can be associated with CSC hits provides rejection of background contributions from beam halo. The ratio of the total energy of ECAL cells matched to a CSC hit ($\Delta\phi<0.04$) to $E_{\textrm{ECAL}}$, defined as $E^{\textrm{CSC}}_{\textrm{ECAL}}/E_{\textrm{ECAL}}$, is used to discriminate beam halo background contributions. A requirement of $E^{\textrm{CSC}}_{\textrm{ECAL}}/E_{\textrm{ECAL}}<0.8$ is applied.

0.5.2 Event selection

The events are required to contain at least one jet satisfying the requirements outlined in Section 0.5.1. In addition, a requirement of $\ptmiss>300$\GeVis applied to reject background contributions from multijet production from core and satellite bunch collisions.

The DT and RPC muon systems are used to reduce the background contribution from cosmic ray muons. Signal events could also have deposits in the muon systems if the jets contain muons, if there is “punch-through” of jet constituents to the muon system, or if the long-lived particle decays within the muon system. To mitigate the inefficiency for signal events, only the DT segments and RPC hits with $r>560\cm$ (where $r$ is the transverse radial distance to the interaction point) and RPC hits with $\abs{z}>600\cm$ (where $z$ is the distance along the beamline to the interaction point) are considered. In order to reduce the effect of noise, DT segments and RPC hits are required to be within $\Delta R<0.5$ of a DT segment with a hit. The maximal $\Delta\phi$ between such “paired” DT segments and RPC hits is defined as $\max(\Delta\phi_{\mathrm{DT}})$ and $\max(\Delta\phi_{\mathrm{RPC}})$, respectively. Events satisfying $\max(\Delta\phi_{\mathrm{DT}})>\pi/2$ or $\max(\Delta\phi_{\mathrm{RPC}})>\pi/2$ are rejected to reduce the contribution of cosmic ray muon events.

Finally, events are required to satisfy a series of filters designed to reject anomalous high-\ptmissevents, which can be due to a variety of reconstruction failures, detector malfunctions and backgrounds not arising from $\Pp\Pp$ collisions [40]. All SR requirements are summarized in Table LABEL:tab:signal_selections.

0.6 Background estimation

This section details the characterization of the dominant background sources and the methods used to estimate residual contributions to the SR. The background contributions are investigated by inverting the requirements on the discriminating variables summarized in Table LABEL:tab:signal_selections to define control regions (CRs) enriched in particular background processes. There are three main background sources: beam halo muons deposits, which typically have low HEF and large $E^{\textrm{CSC}}_{\textrm{ECAL}}/E_{\textrm{ECAL}}$; out-of-time jets from core and satellite bunch collisions, which have large ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}$; and jets originating from cosmic ray muons, which have high $\max(\Delta\phi_{\mathrm{DT/RPC}})$ and $t^{\textrm{RMS}}_{\textrm{jet}}$. The background sources are estimated from the CRs using methods that rely on data. These predictions are tested using validation regions (VRs) that do not overlap with the SRs to ensure they are unbiased. The agreement of the observation with prediction in the VRs is used to estimate systematic uncertainties in the prediction in the SR. For jets in the CRs and VRs with $\abs{t_{\textrm{jet}}}<3\unit{ns}$, the $t^{\textrm{RMS}}_{\textrm{jet}}/t_{\textrm{jet}}<0.4$ requirement is replaced with a requirement of $t^{\textrm{RMS}}_{\textrm{jet}}<1.2\unit{ns}$.

0.6.1 Beam halo

The beam halo contribution is estimated by measuring the pass/fail ratio of the $E^{\textrm{CSC}}_{\textrm{ECAL}}/E_{\textrm{ECAL}}>0.8$ requirement for events with $\textrm{HEF}<0.2$ and applying it to the observed number of events with $\textrm{HEF}>0.2$. The prediction is made without any requirement on $E_{\textrm{HCAL}}$ and can therefore be considered an upper limit on the contribution from the beam halo background contribution.

The VR for this prediction is defined by selecting events with $t_{\textrm{jet}}<-2\unit{ns}$ and applying all signal requirements except those on $E^{\textrm{CSC}}_{\textrm{ECAL}}/E_{\textrm{ECAL}}$, HEF, and $E_{\textrm{HCAL}}$. To enhance the contribution of beam halo events relative to the contributions from satellite bunches and cosmic ray muons in the VR, the $\phi$ values of the jets are required to be within 0.2 radians of 0 or $\pm\pi$. The correlation between $E^{\textrm{CSC}}_{\textrm{ECAL}}/E_{\textrm{ECAL}}$ and HEF in the VR is consistent with zero, meaning they can be used to make an unbiased prediction. The prediction from this method for the number of events passing signal thresholds on $E^{\textrm{CSC}}_{\textrm{ECAL}}/E_{\textrm{ECAL}}$ and HEF in the VR is $0.02^{+0.06}_{-0.02}$ events, in agreement with the 0 events observed.

The level of agreement between prediction and observation in the VR is used to derive a systematic uncertainty in the prediction. The slope of a linear fit to the pass/fail ratio of the $E^{\textrm{CSC}}_{\textrm{ECAL}}/E_{\textrm{ECAL}}>0.8$ requirement as a function of HEF is found to be consistent with zero. The uncertainty is then propagated to the region with $E^{\textrm{CSC}}_{\textrm{ECAL}}/E_{\textrm{ECAL}}>0.8$ and $\textrm{HEF}>0.2$. The final prediction for the SR is $0.02^{+0.06}_{-0.02}\stat^{+0.05}_{-0.01}\syst$ events.

0.6.2 Core and satellite bunch background prediction

The core and satellite bunch background contribution is estimated by measuring the pass/fail ratio of the requirement ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}<0.08$ for events with $1<t_{\textrm{jet}}<3\unit{ns}$ and applying it to the observed number of events with $t_{\textrm{jet}}>3\unit{ns}$ and ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}>0.08$. Two VRs are defined to verify the prediction of the satellite bunch and timing tail background contributions.

The first VR is selected to contain events with $t_{\textrm{jet}}<-1\unit{ns}$ and passing all signal requirements except for that on ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}$. The pass/fail ratio of the ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}<0.08$ requirement is measured for events with $-3<t_{\textrm{jet}}<-1\unit{ns}$ and applied to the number of events with $t_{\textrm{jet}}<-3\unit{ns}$ and ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}>0.08$. The upper bound on $t_{\textrm{jet}}$ ensures the sample is enriched with jets in the tail of the $t_{\textrm{jet}}$ distribution. The correlation between the variables in the VR is confirmed to be consistent with zero, which allows an unbiased prediction to be made. The prediction from this method for the number of events passing $t_{\textrm{jet}}<-3\unit{ns}$ and ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}<0.08$ is $0.09^{+0.2}_{-0.06}$ events, to be compared with 1 observed event. The event passing selection has no paired RPC or DT hits and is therefore unlikely to originate from a cosmic ray muon. The compatibility with expectation is within two standard deviations, however, to ensure the prediction is unbiased, a further validation is carried out. The requirement of $\ptmiss>300\GeV$ is inverted and the prediction repeated. The events must still satisfy the $\ptmiss\textrm{ (trigger)}>120\GeV$ requirement. The number of events satisfying $t_{\textrm{jet}}<-3\unit{ns}$ and ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}<0.08$ is predicted to be $1.95\pm 0.29$ events, to be compared with 1 event observed. As the validation with $\ptmiss<300\GeV$ probes a similar phase space to the validation with $\ptmiss>300\GeV$, but with a significantly increased number of events, an excess due to a systematic effect would be enhanced. The observation in the region with $t_{\textrm{jet}}<-3\unit{ns}$ and ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}<0.08$, for $\ptmiss>300\GeV$, is therefore considered to be consistent with a statistical fluctuation.

A second VR is defined using events with $1<t_{\textrm{jet}}<3\unit{ns}$. The pass/fail ratio of the ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}<0.08$ requirement is measured for events with $1<t_{\textrm{jet}}<2\unit{ns}$ and applied to the number of events with $2<t_{\textrm{jet}}<3\unit{ns}$ and ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}>0.08$. The estimation from this method for the number of events passing $2<t_{\textrm{jet}}<3\unit{ns}$ and ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}<0.08$ is $0.03^{+0.08}_{-0.03}$ events, in agreement with the 0 events observed.

The prediction for the SR relies on using the efficiency of the ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}$ requirement of events with $1<t_{\textrm{jet}}<3\unit{ns}$ to predict the efficiency of the ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}$ requirement for $t_{\textrm{jet}}>3\unit{ns}$. Because of differences in the reconstruction of the calorimeter energy and tracker \pt, this efficiency may be expected to have some small time dependence. In order to measure any such $t_{\textrm{jet}}$ dependence and derive an associated systematic uncertainty, a data sample with the offline \ptmissrequirement inverted (but passing trigger requirements) and $t_{\textrm{jet}}>2\unit{ns}$ is used. The region of ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}<0.08$ is not included to avoid contamination from cosmic ray or beam halo muon deposits. The slope of a linear fit to the pass/fail ratio of a looser requirement of ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}<0.5$ against $t_{\textrm{jet}}$ is consistent with zero. As for the beam halo prediction, the uncertainty from the fit is propagated to the region with $t_{\textrm{jet}}>3\unit{ns}$ and ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}>0.08$. The final prediction for the core and satellite bunch background contribution is $0.11^{+0.09}_{-0.05}\stat^{+0.02}_{-0.02}\syst$ events.

0.6.3 Cosmic ray events

The discriminating variables used for the cosmic background prediction are the $t^{\textrm{RMS}}_{\textrm{jet}}$ of the jet and the larger of $\max(\Delta\phi_{\mathrm{DT}})$ and $\max(\Delta\phi_{\mathrm{RPC}})$, labeled as $\max(\Delta\phi_{\mathrm{DT/RPC}})$. The pass/fail ratio of the $t^{\textrm{RMS}}_{\textrm{jet}}<2.5\unit{ns}$ requirement is measured for events with $\max(\Delta\phi_{\mathrm{DT/RPC}})>\pi/2$ and applied to events with $\max(\Delta\phi_{\mathrm{DT/RPC}})<\pi/2$. Cosmic ray muons that radiate a photon via bremsstrahlung while passing through the HCAL will typically deposit significant energy in a single isolated cell. The HCAL noise rejection quality filters are designed to reject events containing such isolated deposits, thus inverting these filters, with all other requirements applied, provides a validation region enriched in events with cosmic ray muons.

The correlation between $t^{\textrm{RMS}}_{\textrm{jet}}$ and $\max(\Delta\phi_{\mathrm{DT/RPC}})$ in the validation sample is consistent with zero, allowing them to be used to make an unbiased prediction. The estimation in the VR for the number of events passing signal thresholds in $t^{\textrm{RMS}}_{\textrm{jet}}$ and $\max(\Delta\phi_{\mathrm{DT/RPC}})$ is $1.1^{+1.9}_{-1.1}$ events, in agreement with the 1 event observed. A systematic uncertainty in the SR prediction is derived from the statistical uncertainty in the VR. The final prediction in the SR is $1.0^{+1.8}_{-1.0}\stat^{+1.8}_{-1.0}\syst$ events.

0.6.4 Background summary

The estimated background yields and uncertainties are summarized in Table LABEL:tab:bkgsum. The total background prediction is $1.1^{+2.5}_{-1.1}$ events.

0.7 Results and interpretation

Figure 2 shows the timing distribution for events with jets passing all the SR requirements. The distributions for the major background sources are taken from control regions and normalized to the predictions detailed in Section 0.6. These distributions are shown for illustration only and are not used for the statistical interpretation. The overall background prediction for the SR is $1.1^{+2.5}_{-1.1}$ events, which is consistent with the observation of 0 events.

The model used for the interpretation is the GMSB SUSY model in which gluinos are pair produced and form R-hadrons. The long-lived gluinos then decay to a gluon and gravitino producing a delayed jet and \ptmiss.

The trigger efficiency for the simulated samples is evaluated from an emulation. The inefficiency due to the \ptmisstrigger requirement ranges from $\sim$5 to $\sim$15% for $c\tau_{0}=1$ and 10\unitm, respectively. The trigger emulation is validated with data using an independent sample collected with a single muon reference trigger.

The product of the experimental acceptance and efficiency ($\mathcal{A}\varepsilon$), shown in Fig. 3, is evaluated independently for each model point, defined in terms of the gluino mass ($m_{\PSg}$) and proper decay length. The efficiency is maximized for high gluino masses and for a range in $c\tau_{0}$ bounded by the requirements that the gluino must have sufficient lifetime for its decay products to pass the $t_{\textrm{jet}}>3\unit{ns}$ requirement and that the gluino must decay before or within the ECAL. For a gluino model with $m_{\PSg}=2400\GeV$ the efficiency is highest (up to $\sim$35%) for the range $1<c\tau_{0}<10\unit{m}$. The efficiency is larger for higher masses because of the increased \ptmissin the event and the reduced velocity of the gluino.

Interactions of the R-hadrons with the detector lead to signatures exploited by searches for heavy stable charged particles and, in order to maintain model independence, are not considered for the interpretation of this analysis. However, the impact of such interactions was evaluated for two benchmark signal points, $m_{\PSg}=1500\GeV$ and $c\tau_{0}=1\unit{m}$, and $m_{\PSg}=1500\GeV$ and $c\tau_{0}=10\unit{m}$, using the “cloud” model of R-hadron/matter interactions [51, 57], which assumes that the R-hadron is surrounded by a cloud of colored, light constituents that interact during scattering. The fraction of \PSgwhich hadronize to a neutral \PSg-gluon state was taken to be 0.1. Compared to non-interacting R-hadrons, the relative reduction in selection efficiency for both benchmark signal points was found to be $\sim$15% with the largest effect being on the ${\mathrm{PV}}_{\text{track}}^{\text{fraction}}$ and $\max(\Delta\phi_{\mathrm{DT/RPC}})$ requirements.

0.7.1 Signal systematic uncertainties

In order to evaluate systematic uncertainties in the modeling of the variables used to select signal jets (defined in Section 0.5.1), the corresponding distributions for events from the multijet simulation are compared with data. For each variable, the threshold used for the selection is varied in the simulation to match the efficiency measured in data. The change in acceptance from this variation is shown for each of the jet-based variables in Table 0.7.1, using an example model point. This variation is taken as a systematic uncertainty in the signal model acceptance. In addition, the variation in $t^{\textrm{RMS}}_{\textrm{jet}}$ is propagated to $t^{\textrm{RMS}}_{\textrm{jet}}/t_{\textrm{jet}}$.

In addition to the uncertainty in the modeling of the variables used to select signal jets, the systematic uncertainties in the signal $\mathcal{A}\varepsilon$ are summarized below.

• •

Integrated luminosity: 2.5% [37], 2.3% [38], and 2.5% [39] uncorrelated uncertainties for the 2016, 2017, and 2018 data taking periods, respectively.

• •

Trigger inefficiency: typically 5–15%.

• •

Limited simulated sample size: up to $\sim$10%, depending on SR $\mathcal{A}\varepsilon$.

• •

Pileup reweighting: 4.6% uncertainty in the total inelastic $\Pp\Pp$ cross section [58], which corresponds to an uncertainty in the SR $\mathcal{A}\varepsilon$ of 1–5%.

• •

Jet energy resolution/scale: a 1–5% percent uncertainty [35].

0.7.2 Interpretation

Under the signal plus background hypothesis, a modified frequentist approach is used to determine observed upper limits at 95% confidence level (CL) on the cross section ($\sigma$) to produce a pair of gluinos, each decaying with 100% branching fraction to a gluon and a gravitino, as a function of $m_{\PSg}$ and $c\tau_{0}$. The approach uses the LHC-style profile likelihood ratio as the test statistic [59] and the \CLscriterion [60, 61]. The expected and observed upper limits are evaluated through the use of pseudodata sets. Potential signal contributions to event counts in the SR and CRs are taken into consideration.

Figure 4 shows the observed upper limit on $\sigma$ as a function of lifetime and gluino mass for the GMSB model. Gluino masses below 2100\GeVare excluded at 95% confidence level for $c\tau_{0}$ between 0.3 and 30\unitm. The dependence of the expected and observed upper limit as a function of $c\tau_{0}$ is shown in Fig. 5 for $m_{\PSg}=2400\GeV$. The observed limit is compared to the results of the CMS displaced jet search [20], based on a data sample with integrated luminosity of $36.1\fbinv$, showing the complementary coverage. These results extend the reach beyond previous searches for models with jets and significant \ptmissin the final state for $c\tau_{0}\gtrsim 0.5\unit{m}$ [20, 21, 17].

0.8 Summary

An inclusive search for long-lived particles has been presented, based on a data sample of proton-proton collisions collected at $\sqrt{s}=13\TeV$ by the CMS experiment, corresponding to an integrated luminosity of 137\fbinv. The search uses the timing of energy deposits in the electromagnetic calorimeter to select delayed jets from the decays of heavy long-lived particles, with residual background contributions estimated using measurements in control regions in the data. The results are interpreted using the gluino gauge-mediated supersymmetry breaking signal model and gluino masses up to 2100, 2500, and $1900\GeV$ are excluded at $95\%$ confidence level for proper decay lengths of 0.3, 1, and $100\unit{m}$, respectively. The reach for models that predict significant missing transverse momentum in the final state is significantly extended beyond all previous searches, for proper decay lengths greater than $\sim$0.5\unitm.

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: BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS (Colombia); MSES and CSF (Croatia); RPF (Cyprus); SENESCYT (Ecuador); MoER, ERC IUT, PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRT (Greece); NKFIA (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS, RFBR, and NRC KI (Russia); MESTD (Serbia); SEIDI, CPAN, PCTI, and FEDER (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter, IPST, STAR, and NSTDA (Thailand); TUBITAK and TAEK (Turkey); NASU and SFFR (Ukraine); STFC (United Kingdom); DOE and NSF (USA). Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 752730, and 765710 (European Union); the Leventis Foundation; the A.P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the F.R.S.-FNRS and FWO (Belgium) under the “Excellence of Science – EOS” – be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z181100004218003; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Lendület (“Momentum”) Program and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences, the New National Excellence Program ÚNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058 (Hungary); the Council of Science and Industrial Research, India; the HOMING PLUS 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 Ministry of Science and Education, grant no. 3.2989.2017 (Russia); the Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2015-0509 and the Programa Severo Ochoa del Principado de Asturias; the Thalis and Aristeia 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); the Welch Foundation, contract C-1845; and the Weston Havens Foundation (USA).

.9 The CMS Collaboration

\cmsinstskip

**Yerevan Physics Institute, Yerevan, Armenia

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

** A. Khvedelidze\cmsAuthorMark10 \cmsinstskip**Tbilisi State University, Tbilisi, Georgia

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

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

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

** G. Flügge, W. Haj Ahmad\cmsAuthorMark15, O. Hlushchenko, T. Kress, T. Müller, A. Nehrkorn, A. Nowack, C. Pistone, O. Pooth, D. Roy, H. Sert, A. Stahl\cmsAuthorMark16 \cmsinstskip**Deutsches Elektronen-Synchrotron, Hamburg, Germany

** M. Aldaya Martin, P. Asmuss, I. Babounikau, H. Bakhshiansohi, K. Beernaert, O. Behnke, U. Behrens, A. Bermúdez Martínez, D. Bertsche, A.A. Bin Anuar, K. Borras\cmsAuthorMark17, V. Botta, A. Campbell, A. Cardini, P. Connor, S. Consuegra Rodríguez, C. Contreras-Campana, V. Danilov, A. De Wit, M.M. Defranchis, C. Diez Pardos, D. Domínguez Damiani, G. Eckerlin, D. Eckstein, T. Eichhorn, A. Elwood, E. Eren, E. Gallo\cmsAuthorMark18, A. Geiser, J.M. Grados Luyando, A. Grohsjean, M. Guthoff, M. Haranko, A. Harb, A. Jafari, N.Z. Jomhari, H. Jung, A. Kasem\cmsAuthorMark17, M. Kasemann, H. Kaveh, J. Keaveney, C. Kleinwort, J. Knolle, D. Krücker, W. Lange, T. Lenz, J. Leonard, J. Lidrych, K. Lipka, W. Lohmann\cmsAuthorMark19, R. Mankel, I.-A. Melzer-Pellmann, A.B. Meyer, M. Meyer, M. Missiroli, G. Mittag, J. Mnich, A. Mussgiller, V. Myronenko, D. Pérez Adán, S.K. Pflitsch, D. Pitzl, A. Raspereza, A. Saibel, M. Savitskyi, V. Scheurer, P. Schütze, C. Schwanenberger, R. Shevchenko, A. Singh, H. Tholen, O. Turkot, A. Vagnerini, M. Van De Klundert, G.P. Van Onsem, R. Walsh, Y. Wen, K. Wichmann, C. Wissing, O. Zenaiev, R. Zlebcik \cmsinstskip**University of Hamburg, Hamburg, Germany

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

** M. Akbiyik, C. Barth, M. Baselga, S. Baur, T. Berger, E. Butz, R. Caspart, T. Chwalek, W. De Boer, A. Dierlamm, K. El Morabit, N. Faltermann, M. Giffels, P. Goldenzweig, A. Gottmann, M.A. Harrendorf, F. Hartmann\cmsAuthorMark16, U. Husemann, S. Kudella, S. Mitra, M.U. Mozer, Th. Müller, M. Musich, A. Nürnberg, G. Quast, K. Rabbertz, M. Schröder, I. Shvetsov, H.J. Simonis, R. Ulrich, M. Weber, C. Wöhrmann, R. Wolf \cmsinstskip**Institute of Nuclear and Particle Physics (INPP), NCSR Demokritos, Aghia Paraskevi, Greece

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

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

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

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

** M. Bartók\cmsAuthorMark20, M. Csanad, P. Major, K. Mandal, A. Mehta, M.I. Nagy, G. Pasztor, O. Surányi, G.I. Veres \cmsinstskip**Wigner Research Centre for Physics, Budapest, Hungary

** G. Bencze, C. Hajdu, D. Horvath\cmsAuthorMark21, F. Sikler, T.Á. Vámi, V. Veszpremi, G. Vesztergombi${}^{\textrm{\textdagger}}$ \cmsinstskip**Institute of Nuclear Research ATOMKI, Debrecen, Hungary

** N. Beni, S. Czellar, J. Karancsi\cmsAuthorMark20, A. Makovec, J. Molnar, Z. Szillasi \cmsinstskip**Institute of Physics, University of Debrecen, Debrecen, Hungary

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

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

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

** S. Bahinipati\cmsAuthorMark23, C. Kar, G. Kole, P. Mal, V.K. Muraleedharan Nair Bindhu, A. Nayak\cmsAuthorMark24, D.K. Sahoo\cmsAuthorMark23, S.K. Swain \cmsinstskip**Panjab University, Chandigarh, India

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

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

** R. Bhardwaj\cmsAuthorMark25, M. Bharti\cmsAuthorMark25, R. Bhattacharya, S. Bhattacharya, U. Bhawandeep\cmsAuthorMark25, D. Bhowmik, S. Dey, S. Dutta, S. Ghosh, M. Maity\cmsAuthorMark26, K. Mondal, S. Nandan, A. Purohit, P.K. Rout, G. Saha, S. Sarkar, T. Sarkar\cmsAuthorMark26, M. Sharan, B. Singh\cmsAuthorMark25, S. Thakur\cmsAuthorMark25 \cmsinstskip**Indian Institute of Technology Madras, Madras, India

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

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

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

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

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

** S. Chenarani\cmsAuthorMark27, E. Eskandari Tadavani, S.M. Etesami\cmsAuthorMark27, M. Khakzad, M. Mohammadi Najafabadi, M. Naseri, F. Rezaei Hosseinabadi \cmsinstskip**University College Dublin, Dublin, Ireland

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

** M. Abbresciaa**,b, R. Alya**,b,\cmsAuthorMark28, C. Calabriaa**,b, A. Colaleoa, D. Creanzaa**,c, L. Cristellaa**,b, N. De Filippisa**,c, M. De Palmaa**,b, A. Di Florioa**,b, L. Fiorea, A. Gelmia**,b, G. Iasellia**,c, M. Incea**,b, S. Lezkia**,b, G. Maggia**,c, M. Maggia, G. Minielloa**,b, S. Mya**,b, S. Nuzzoa**,b, A. Pompilia**,b, G. Pugliesea**,c, R. Radognaa, A. Ranieria, G. Selvaggia**,b, L. Silvestrisa, R. Vendittia, P. Verwilligena \cmsinstskip**INFN Sezione di Bologna a, Università di Bologna b, Bologna, Italy

** G. Abbiendia, C. Battilanaa**,b, D. Bonacorsia**,b, L. Borgonovia**,b, S. Braibant-Giacomellia**,b, R. Campaninia**,b, P. Capiluppia**,b, A. Castroa**,b, F.R. Cavalloa, C. Cioccaa, G. Codispotia**,b, M. Cuffiania**,b, G.M. Dallavallea, F. Fabbria, A. Fanfania**,b, E. Fontanesi, P. Giacomellia, C. Grandia, L. Guiduccia**,b, F. Iemmia**,b, S. Lo Meoa**,\cmsAuthorMark29, S. Marcellinia, G. Masettia, F.L. Navarriaa**,b, A. Perrottaa, F. Primaveraa**,b, A.M. Rossia**,b, T. Rovellia**,b, G.P. Sirolia**,b, N. Tosia \cmsinstskip**INFN Sezione di Catania a, Università di Catania b, Catania, Italy

** S. Albergoa**,b,\cmsAuthorMark30, S. Costaa**,b, A. Di Mattiaa, R. Potenzaa**,b, A. Tricomia**,b,\cmsAuthorMark30, C. Tuve*a**,*b \cmsinstskip**INFN Sezione di Firenze a, Università di Firenze b, Firenze, Italy

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

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

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

** A. Benagliaa, A. Beschia**,b, F. Brivioa**,b, V. Cirioloa**,b,\cmsAuthorMark16, S. Di Guidaa**,b,\cmsAuthorMark16, M.E. Dinardoa**,b, P. Dinia, S. Gennaia, A. Ghezzia**,b, P. Govonia**,b, L. Guzzia**,b, M. Malbertia, S. Malvezzia, D. Menascea, F. Montia**,b, L. Moronia, G. Ortonaa**,b, M. Paganonia**,b, D. Pedrinia, S. Ragazzi*a**,b, T. Tabarelli de Fatisa**,b, D. Zuoloa**,*b \cmsinstskip**INFN Sezione di Napoli a, Università di Napoli ’Federico II’ b, Napoli, Italy, Università della Basilicata c, Potenza, Italy, Università G. Marconi d, Roma, Italy

** S. Buontempoa, N. Cavalloa**,c, A. De Iorioa**,b, A. Di Crescenzoa**,b, F. Fabozzia**,c, F. Fiengaa, G. Galatia, A.O.M. Iorioa**,b, L. Listaa**,b, S. Meolaa**,d,\cmsAuthorMark16, P. Paoluccia**,\cmsAuthorMark16, B. Rossia, C. Sciacca*a**,b, E. Voevodinaa**,*b \cmsinstskip**INFN Sezione di Padova a, Università di Padova b, Padova, Italy, Università di Trento c, Trento, Italy

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

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

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

** K. Androsova, P. Azzurria, G. Bagliesia, V. Bertacchia**,c, L. Bianchinia, T. Boccalia, R. Castaldia, M.A. Cioccia**,b, R. Dell’Orsoa, G. Fedia, L. Gianninia**,c, A. Giassia, M.T. Grippoa, F. Ligabuea**,c, E. Mancaa**,c, G. Mandorlia**,c, A. Messineoa**,b, F. Pallaa, A. Rizzia**,b, G. Rolandi\cmsAuthorMark31, S. Roy Chowdhury, A. Scribanoa, P. Spagnoloa, R. Tenchinia, G. Tonellia**,b, N. Turini, A. Venturia, P.G. Verdinia \cmsinstskip**INFN Sezione di Roma a, Sapienza Università di Roma b, Rome, Italy

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

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

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

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

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

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

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

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

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

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

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

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

** V. Veckalns\cmsAuthorMark32 \cmsinstskip**Vilnius University, Vilnius, Lithuania

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

** Z.A. Ibrahim, F. Mohamad Idris\cmsAuthorMark33, W.A.T. Wan Abdullah, M.N. Yusli, Z. Zolkapli \cmsinstskip**Universidad de Sonora (UNISON), Hermosillo, Mexico

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

** H. Castilla-Valdez, E. De La Cruz-Burelo, I. Heredia-De La Cruz\cmsAuthorMark34, R. Lopez-Fernandez, A. Sanchez-Hernandez \cmsinstskip**Universidad Iberoamericana, Mexico City, Mexico

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

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

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

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

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

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

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

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

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

** K. Bunkowski, A. Byszuk\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

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

** V. Alexakhin, P. Bunin, Y. Ershov, M. Gavrilenko, A. Golunov, I. Golutvin, I. Gorbunov, V. Karjavine, V. Korenkov, A. Lanev, A. Malakhov, V. Matveev\cmsAuthorMark36*,*\cmsAuthorMark37, P. Moisenz, V. Palichik, V. Perelygin, M. Savina, S. Shmatov, S. Shulha, O. Teryaev, A. Zarubin \cmsinstskip**Petersburg Nuclear Physics Institute, Gatchina (St. Petersburg), Russia

** L. Chtchipounov, V. Golovtsov, Y. Ivanov, V. Kim\cmsAuthorMark38, E. Kuznetsova\cmsAuthorMark39, P. Levchenko, V. Murzin, V. Oreshkin, I. Smirnov, D. Sosnov, V. Sulimov, L. Uvarov, A. Vorobyev \cmsinstskip**Institute for Nuclear Research, Moscow, Russia

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

** V. Epshteyn, V. Gavrilov, N. Lychkovskaya, A. Nikitenko\cmsAuthorMark40, V. Popov, I. Pozdnyakov, G. Safronov, A. Spiridonov, A. Stepennov, M. Toms, E. Vlasov, A. Zhokin \cmsinstskip**Moscow Institute of Physics and Technology, Moscow, Russia

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

** O. Bychkova, R. Chistov\cmsAuthorMark41, M. Danilov\cmsAuthorMark41, S. Polikarpov\cmsAuthorMark41, E. Tarkovskii \cmsinstskip**P.N. Lebedev Physical Institute, Moscow, Russia

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

** A. Belyaev, E. Boos, M. Dubinin\cmsAuthorMark42, L. Dudko, A. Ershov, A. Gribushin, V. Klyukhin, O. Kodolova, I. Lokhtin, S. Obraztsov, S. Petrushanko, V. Savrin, A. Snigirev \cmsinstskip**Novosibirsk State University (NSU), Novosibirsk, Russia

** A. Barnyakov\cmsAuthorMark43, V. Blinov\cmsAuthorMark43, T. Dimova\cmsAuthorMark43, L. Kardapoltsev\cmsAuthorMark43, Y. Skovpen\cmsAuthorMark43 \cmsinstskip**Institute for High Energy Physics of National Research Centre ‘Kurchatov Institute’, Protvino, Russia

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

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

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

** P. Adzic\cmsAuthorMark44, P. Cirkovic, D. Devetak, M. Dordevic, P. Milenovic, J. Milosevic, M. Stojanovic \cmsinstskip**Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid, Spain

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

** C. Albajar, J.F. de Trocóniz \cmsinstskip**Universidad de Oviedo, Oviedo, Spain

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

** I.J. Cabrillo, A. Calderon, B. Chazin Quero, J. Duarte Campderros, M. Fernandez, P.J. Fernández Manteca, A. García Alonso, G. Gomez, C. Martinez Rivero, P. Martinez Ruiz del Arbol, F. Matorras, J. Piedra Gomez, C. Prieels, T. Rodrigo, A. Ruiz-Jimeno, L. Russo\cmsAuthorMark45, L. Scodellaro, N. Trevisani, I. Vila, J.M. Vizan Garcia \cmsinstskip**University of Colombo, Colombo, Sri Lanka

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

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

** D. Abbaneo, B. Akgun, E. Auffray, G. Auzinger, J. Baechler, P. Baillon, A.H. Ball, D. Barney, J. Bendavid, M. Bianco, A. Bocci, P. Bortignon, E. Bossini, C. Botta, E. Brondolin, T. Camporesi, A. Caratelli, G. Cerminara, E. Chapon, G. Cucciati, D. d’Enterria, A. Dabrowski, N. Daci, V. Daponte, A. David, O. Davignon, A. De Roeck, N. Deelen, M. Deile, M. Dobson, M. Dünser, N. Dupont, A. Elliott-Peisert, F. Fallavollita\cmsAuthorMark46, D. Fasanella, S. Fiorendi, G. Franzoni, J. Fulcher, W. Funk, S. Giani, D. Gigi, A. Gilbert, K. Gill, F. Glege, M. Gruchala, M. Guilbaud, D. Gulhan, J. Hegeman, C. Heidegger, Y. Iiyama, V. Innocente, P. Janot, O. Karacheban\cmsAuthorMark19, J. Kaspar, J. Kieseler, M. Krammer\cmsAuthorMark1, C. Lange, P. Lecoq, C. Lourenço, L. Malgeri, M. Mannelli, A. Massironi, F. Meijers, J.A. Merlin, S. Mersi, E. Meschi, F. Moortgat, M. Mulders, J. Ngadiuba, S. Nourbakhsh, S. Orfanelli, L. Orsini, F. Pantaleo\cmsAuthorMark16, L. Pape, E. Perez, M. Peruzzi, A. Petrilli, G. Petrucciani, A. Pfeiffer, M. Pierini, F.M. Pitters, D. Rabady, A. Racz, M. Rovere, H. Sakulin, C. Schäfer, C. Schwick, M. Selvaggi, A. Sharma, P. Silva, W. Snoeys, P. Sphicas\cmsAuthorMark47, J. Steggemann, S. Summers, V.R. Tavolaro, D. Treille, A. Tsirou, A. Vartak, M. Verzetti, W.D. Zeuner \cmsinstskip**Paul Scherrer Institut, Villigen, Switzerland

** L. Caminada\cmsAuthorMark48, K. Deiters, W. Erdmann, R. Horisberger, Q. Ingram, H.C. Kaestli, D. Kotlinski, U. Langenegger, T. Rohe, S.A. Wiederkehr \cmsinstskip**ETH Zurich - Institute for Particle Physics and Astrophysics (IPA), Zurich, Switzerland

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

** T.K. Aarrestad, C. Amsler\cmsAuthorMark49, D. Brzhechko, M.F. Canelli, A. De Cosa, R. Del Burgo, S. Donato, B. Kilminster, S. Leontsinis, V.M. Mikuni, I. Neutelings, G. Rauco, P. Robmann, D. Salerno, K. Schweiger, C. Seitz, Y. Takahashi, S. Wertz, A. Zucchetta \cmsinstskip**National Central University, Chung-Li, Taiwan

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

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

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

** A. Bat, F. Boran, S. Cerci\cmsAuthorMark50, S. Damarseckin\cmsAuthorMark51, Z.S. Demiroglu, F. Dolek, C. Dozen, I. Dumanoglu, G. Gokbulut, EmineGurpinar Guler\cmsAuthorMark52, Y. Guler, I. Hos\cmsAuthorMark53, C. Isik, E.E. Kangal\cmsAuthorMark54, O. Kara, A. Kayis Topaksu, U. Kiminsu, M. Oglakci, G. Onengut, K. Ozdemir\cmsAuthorMark55, S. Ozturk\cmsAuthorMark56, A.E. Simsek, D. Sunar Cerci\cmsAuthorMark50, U.G. Tok, S. Turkcapar, I.S. Zorbakir, C. Zorbilmez \cmsinstskip**Middle East Technical University, Physics Department, Ankara, Turkey

** B. Isildak\cmsAuthorMark57, G. Karapinar\cmsAuthorMark58, M. Yalvac \cmsinstskip**Bogazici University, Istanbul, Turkey

** I.O. Atakisi, E. Gülmez, M. Kaya\cmsAuthorMark59, O. Kaya\cmsAuthorMark60, B. Kaynak, Ö. Özçelik, S. Tekten, E.A. Yetkin\cmsAuthorMark61 \cmsinstskip**Istanbul Technical University, Istanbul, Turkey

** A. Cakir, Y. Komurcu, S. Sen\cmsAuthorMark62 \cmsinstskip**Istanbul University, Istanbul, Turkey

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

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

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

** F. Ball, E. Bhal, S. Bologna, J.J. Brooke, D. Burns\cmsAuthorMark63, E. Clement, D. Cussans, H. Flacher, J. Goldstein, G.P. Heath, H.F. Heath, L. Kreczko, S. Paramesvaran, B. Penning, T. Sakuma, S. Seif El Nasr-Storey, D. Smith\cmsAuthorMark63, V.J. Smith, J. Taylor, A. Titterton \cmsinstskip**Rutherford Appleton Laboratory, Didcot, United Kingdom

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

** R. Bainbridge, P. Bloch, J. Borg, S. Breeze, O. Buchmuller, A. Bundock, GurpreetSingh CHAHAL\cmsAuthorMark65, D. Colling, P. Dauncey, G. Davies, M. Della Negra, R. Di Maria, P. Everaerts, G. Hall, G. Iles, T. James, M. Komm, C. Laner, L. Lyons, A.-M. Magnan, S. Malik, A. Martelli, V. Milosevic, J. Nash\cmsAuthorMark66, V. Palladino, M. Pesaresi, D.M. Raymond, A. Richards, A. Rose, E. Scott, C. Seez, A. Shtipliyski, M. Stoye, T. Strebler, A. Tapper, K. Uchida, T. Virdee\cmsAuthorMark16, N. Wardle, D. Winterbottom, J. Wright, A.G. Zecchinelli, S.C. Zenz \cmsinstskip**Brunel University, Uxbridge, United Kingdom

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

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

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

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

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

** G. Benelli, B. Burkle, X. Coubez, D. Cutts, Y.t. Duh, M. Hadley, J. Hakala, U. Heintz, J.M. Hogan\cmsAuthorMark67, K.H.M. Kwok, E. Laird, G. Landsberg, J. Lee, Z. Mao, M. Narain, S. Sagir\cmsAuthorMark68, R. Syarif, E. Usai, D. Yu \cmsinstskip**University of California, Davis, Davis, USA

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

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

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

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

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

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

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

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

** J. Alexander, J. Chaves, Y. Cheng, J. Chu, A. Datta, A. Frankenthal, K. Mcdermott, J.R. Patterson, D. Quach, A. Rinkevicius\cmsAuthorMark69, A. Ryd, S.M. Tan, Z. Tao, J. Thom, P. Wittich, M. Zientek \cmsinstskip**Fermi National Accelerator Laboratory, Batavia, USA

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

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

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

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

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

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

** M. Alhusseini, B. Bilki\cmsAuthorMark52, W. Clarida, K. Dilsiz\cmsAuthorMark70, S. Durgut, R.P. Gandrajula, M. Haytmyradov, V. Khristenko, O.K. Köseyan, J.-P. Merlo, A. Mestvirishvili\cmsAuthorMark71, A. Moeller, J. Nachtman, H. Ogul\cmsAuthorMark72, Y. Onel, F. Ozok\cmsAuthorMark73, A. Penzo, C. Snyder, E. Tiras, J. Wetzel \cmsinstskip**Johns Hopkins University, Baltimore, USA

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

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

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

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

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

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

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

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

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

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

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

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

** R. Bucci, N. Dev, R. Goldouzian, M. Hildreth, K. Hurtado Anampa, C. Jessop, D.J. Karmgard, K. Lannon, W. Li, N. Loukas, N. Marinelli, I. Mcalister, F. Meng, C. Mueller, Y. Musienko\cmsAuthorMark36, M. Planer, R. Ruchti, P. Siddireddy, G. Smith, S. Taroni, M. Wayne, A. Wightman, M. Wolf, A. Woodard \cmsinstskip**The Ohio State University, Columbus, USA

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

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

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

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

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

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

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

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

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

** O. Bouhali\cmsAuthorMark74, A. Celik, M. Dalchenko, M. De Mattia, A. Delgado, S. Dildick, R. Eusebi, J. Gilmore, T. Huang, T. Kamon\cmsAuthorMark75, S. Luo, D. Marley, R. Mueller, D. Overton, L. Perniè, D. Rathjens, A. Safonov \cmsinstskip**Texas Tech University, Lubbock, USA

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

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

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

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

** J. Buchanan, C. Caillol, D. Carlsmith, S. Dasu, I. De Bruyn, L. Dodd, F. Fiori, C. Galloni, B. Gomber\cmsAuthorMark76, H. He, M. Herndon, A. Hervé, U. Hussain, P. Klabbers, A. Lanaro, A. Loeliger, K. Long, R. Loveless, J. Madhusudanan Sreekala, T. Ruggles, A. Savin, V. Sharma, W.H. Smith, D. Teague, S. Trembath-reichert, N. Woods \cmsinstskip†: Deceased

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

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

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

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

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

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

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

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

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

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

11: Also at Suez University, Suez, Egypt

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

13: Also at Purdue University, West Lafayette, USA

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

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

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

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

18: Also at University of Hamburg, Hamburg, Germany

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

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

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

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

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

24: Also at Institute of Physics, Bhubaneswar, India

25: Also at Shoolini University, Solan, India

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

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

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

29: Also at ITALIAN NATIONAL AGENCY FOR NEW TECHNOLOGIES, ENERGY AND SUSTAINABLE ECONOMIC DEVELOPMENT, Bologna, Italy

30: Also at CENTRO SICILIANO DI FISICA NUCLEARE E DI STRUTTURA DELLA MATERIA, Catania, Italy

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

32: Also at Riga Technical University, Riga, Latvia

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 Imperial College, London, United Kingdom

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

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

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

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

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

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

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

48: Also at Universität Zürich, Zurich, Switzerland

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

50: Also at Adiyaman University, Adiyaman, Turkey

51: Also at Sirnak University, SIRNAK, Turkey

52: Also at Beykent University, Istanbul, Turkey

53: Also at Istanbul Aydin University, Istanbul, Turkey

54: Also at Mersin University, Mersin, Turkey

55: Also at Piri Reis University, Istanbul, Turkey

56: Also at Gaziosmanpasa University, Tokat, Turkey

57: Also at Ozyegin University, Istanbul, Turkey

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

59: Also at Marmara University, Istanbul, Turkey

60: Also at Kafkas University, Kars, Turkey

61: Also at Istanbul Bilgi University, Istanbul, Turkey

62: Also at Hacettepe University, Ankara, Turkey

63: Also at Vrije Universiteit Brussel, Brussel, Belgium

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

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

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

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

68: Also at Karamanoğlu Mehmetbey University, Karaman, Turkey

69: Also at Vilnius University, Vilnius, Lithuania

70: Also at Bingol University, Bingol, Turkey

71: Also at Georgian Technical University, Tbilisi, Georgia

72: Also at Sinop University, Sinop, Turkey

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

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

75: Also at Kyungpook National University, Daegu, Korea

76: Also at University of Hyderabad, Hyderabad, India