Measurement of electroweak production of a W boson and two forward jets in proton-proton collisions at \( \sqrt{s}=8 \) TeV

Journal of High Energy Physics, Nov 2016

A measurement is presented of the cross section for the electroweak production of a W boson in association with two jets in proton-proton collisions at a center-of-mass energy of 8 TeV. The data set was collected with the CMS detector and corresponds to an integrated luminosity of 19.3 fb−1. The measured fiducial cross section for W bosons decaying to electrons or muons and for p T j1 > 60 GeV, p T j2 > 50 GeV, |η j| < 4.7, and m jj > 1000 GeV is 0.42 ± 0.04 (stat) ± 0.09 (syst) ± 0.01 (lumi) pb. This result is consistent with the standard model leading-order prediction of 0.50 ± 0.02 (scale) ± 0.02 (PDF) pb obtained with MadGraph5_amc@nlo 2.1 interfaced to pythia 6.4. This is the first cross section measurement for this process.

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Measurement of electroweak production of a W boson and two forward jets in proton-proton collisions at \( \sqrt{s}=8 \) TeV

Received: July Measurement of electroweak production of a The CMS collaboration 0 1 2 0 ducial cross section for W bosons 1 University of Maryland, College Park , U.S.A 2 Princeton University , Princeton , U.S.A A measurement is presented of the cross section for the electroweak production of a W boson in association with two jets in proton-proton collisions at a center-of-mass energy of 8 TeV. The data set was collected with the CMS detector and corresponds to an integrated luminosity of 19.3 fb 1 . The measured decaying to electrons or muons and for pTj1 > 60 GeV, pTj2 > 50 GeV, j jj < 4:7, and mjj > 1000 GeV is 0:42 at; p; s; Electroweak interaction; Hadron-Hadron scattering (experiments) - 0:01 (lumi) pb. This result is consistent with the standard model leading-order prediction of 0:50 obtained with MadGraph5 amc@nlo 2.1 interfaced to pythia 6.4. This is the rst cross section measurement for this process. 1 Introduction The CMS detector Simulated samples 2 Event reconstruction and selection Background estimation and signal extraction Systematic uncertainties The CMS collaboration The production of a W or Z boson in association with two jets via the t-channel exchange of an electroweak gauge boson (EW production) plays an important role in testing the gauge sector of the standard model (SM), in particular, aspects of gauge boson self interactions. This process is characterized by the presence of two jets with a large separation in rapidity [1, 2]. Experimental studies of this topology are challenging because of large backgrounds and require a precise understanding of extra quark and gluon emissions computed in quantum chromodynamics (QCD) [3]. Three classes of EW diagrams for ` production in association with two jets are shown in gure 1: a W boson radiating from a quark line (left), a W boson produced through vector boson fusion (VBF) processes involving a W boson and a Z boson (center), and a multiperipheral diagram with no s-channel W boson (right). These diagrams represent the EW signal in this analysis. The study of the EW W+2-jets process is part of a more general investigation of the SM VBF process. These EW processes have been used to investigate the rapidity gaps at hadron colliders [1, 2], as a probe of triple-gauge-boson couplings [4, 5], and as a background to Higgs boson measurements in the VBF channel [6{9]. At the LHC, the EW production of a Z boson in association with forward and backward (8 TeV [10]). The ATLAS Collaboration has published similar results at p jets has been investigated by the CMS Collaboration at a center-of-mass energy of 7 TeV [3] s = 8 TeV [11]. (center) VBF, and (right) multiperipheral processes. The EW production of events with a same-sign W boson pair plus two jets was recently studied by the ATLAS Collaboration [12] and the CMS Collaboration [13] at 8 TeV. This paper presents a measurement of the EW W+2-jets production cross section. in the electron (muon) channel at p s = 8 TeV. The ducial cross section is calculated for W bosons decaying to electrons or muons and for pTj1 > 60 GeV, pTj2 > 50 GeV, j jj < 4:7, and mjj > 1000 GeV. The interference term between EW W+2-jets and QCD W+2-jets is neglected in the calculation of the ducial cross section, and is considered as a source of systematic uncertainty. The data set corresponds to an integrated luminosity of 19.2 (19.3) fb 1 collected by the CMS experiment The CMS detector The central feature of the CMS apparatus is a superconducting solenoid of 6 m internal diameter. Within the solenoid volume are a silicon pixel and strip tracker, a lead tungstate crystal electromagnetic calorimeter (ECAL), and a brass and scintillator hadron calorimeter (HCAL), each composed of a barrel and two endcap sections. Forward calorimeters extend the pseudorapidity [14] coverage provided by the barrel and endcap detectors. are measured in gas-ionization detectors embedded in the steel ux-return yoke outside The silicon tracker measures charged particles within the pseudorapidity range j j < 2:5. It consists of 1440 silicon pixel and 15 148 silicon strip detector modules and is located eld of the superconducting solenoid. For nonisolated particles of 1 < pT < 10 GeV and j j < 1:4, the track resolutions are typically 1.5% in pT and 25{90 (45{150) m in the transverse (longitudinal) impact parameter [15] The electron momentum is estimated by combining the energy measurement in the ECAL with the momentum measurement in the tracker. The momentum resolution for electrons with transverse momentum pT 45 GeV from Z ! ee decays ranges from 1.7% for nonshowering electrons in the barrel region to 4.5% for showering electrons in the endcaps [16]. The electron objects in the transition region between the barrel and endcap (1:44 < j j < 1:57) are less precise. Muons are measured in the range j j < 2:4, with detection planes made using three technologies: drift tubes, cathode strip chambers, and resistive plate chambers. Matching muons to tracks measured in the silicon tracker results in a relative pT resolution for muons with 20 < pT < 100 GeV of 1.3{2.0% in the barrel and better than 6% in the endcaps. The pT resolution in the barrel is better than 10% for muons with pT up to 1 TeV [17]. The HCAL, when combined with the ECAL, measures jets with energy resolution hermetic, allowing for precise measurements of ETmiss. amounting typically to 15% at 10 GeV, 8% at 100 GeV, and 4% at 1 TeV. The forward calorimeter modules extend the coverage of hadronic jets to j j = 5:0. The missing transverse momentum vector p~Tmiss is de ned as the projection on the plane perpendicular to the beams of the negative vector sum of the momenta of all reconstructed particles in an event. Its magnitude is referred to as ETmiss. The CMS detector is nearly The rst level of the CMS trigger system, composed of custom hardware processors, uses information from the calorimeters and muon detectors to select the events of interest xed time interval of less than 4 s. The high-level trigger processor farm further decreases the event rate from around 100 kHz to less than 1 kHz, before data storage. A more detailed description of the CMS detector, together with a de nition of the coordinate system used and the relevant kinematic variables, can be found in ref. [14]. Simulated samples Signal and background samples are simulated using standard packages. The Monte Carlo (MC) event generator MadGraph5 amc@nlo 2.1 [18] is used to simulate the EW W(! )+2-jets events. Alternative EW W(! ` ) samples for systematic studies, where simulated using MadGraph5 [19]. Single top quark production is modeled with powheg 1.0 [20{24]. Diboson samples (WW, WZ, ZZ) are generated with pythia 6.4 [25]. All samples are generated using the CTEQ6L1 [26] parton distribution function (PDF) set, except for the powheg single top quark sample, for which the CTEQ6M [26] PDF set is used. The parton showering and matching, hadronization, and underlying event simulation for all samples are performed by pythia 6, with the parameters of the underlying event set to the Z2* tune [27, 28]. The tauola 2.7 generator [29] is used to simulate For systematic uncertainty studies the alternative signal sample is also interfaced with herwig++ [30], which has di erent parton shower and hadronization models than pythia. The QCD induced W+jets events, which is the main background, are generated with up to four partons using matrix element (ME) calculations. The ME-parton-shower matching scale is taken to be 10 GeV [31], and the factorization and renormalization scales are both 2 pT;j is the sum over the generated jets. The signal events are generated with the same factorization and renormalization scales. Alternative tt samples are generated with powheg 1.0 and mc@nlo 3.4 [33, 34]. The tt sample generated with powheg 1.0 is interfaced with pythia 6. The PDF set used for this sample is CT10 [35]. The tt sample generated with mc@nlo 3.4 is interfaced with herwig [36, 37]. The PDF set used for this sample is CTEQ6M. The cross sections for the signal samples are calculated at leading order (LO) using MadGraph5 amc@nlo 2.1. The cross sections for the QCD W+jets and DY samples are normalized to the next-to-next-to-leading-order (NNLO) prediction calculated with fewz 3.1 [38]. A data-driven method is used to normalize the QCD W+jets sample as described in section 5. The cross section for inclusive tt sample is normalized to the next-to-nextto-leading-logarithm prediction from the Top++v2.0 generator [39]. The cross section for the single top quark production process is obtained from Hathor v2.1 [40, 41], which is accurate up to next-to-leading-order (NLO). The cross sections for diboson samples are normalized to the NLO prediction calculated with MCFM 6.6 [42]. A Geant4-based simulation [43] of the CMS detector is used in the production of all simulated samples. Additional proton-proton interactions within a bunch crossing (pileup) are added to the simulation to match those observed in data. During this data-taking period the mean number of interactions per bunch crossing was 21. Simulated events are corrected for e ciency di erences relative to data using a tag-and-probe method [44]. Event reconstruction and selection A common event reconstruction algorithm and selection criteria are applied to data and simulated events. The event signature is an isolated lepton (electron or muon), two jets, and ETmiss. Candidate events are collected with single-lepton triggers, which require an isolated electron (muon) with a pT threshold of 27 (24) GeV. The overall trigger e ciency is 90% (94%) for the electron (muon) data, with a small dependence on pT and . The analysis relies on a particle- ow (PF) technique [45, 46] that reconstructs various particles in the event (charged and neutral hadrons, electrons, muons, and photons) by optimally combining information from various CMS subdetectors. Electrons are reconstructed from the combination of the tracker and the corresponding ECAL cluster information, and must pass electron identi cation requirements according to a multivariate identi cation technique [16]. Muons are reconstructed by tting trajectories based on hits in the silicon tracker and in the outer muon system. Lepton candidates are required to originate from the primary vertex of the event, which is chosen to be the vertex with the highest value of P p2T, where the sum is performed over all associated charged Charged leptons from W boson decays are expected to be isolated from other activity in the event. Leptons are required to ful ll a requirement on their relative isolation, which is de ned as the ratio of the pT sum of all other PF candidates reconstructed in )2 = 0:3 (0:4) around the candidate electron (muon) to the R = pT of the candidate, and is corrected for contributions from pileup. The the di erences in pseudorapidity and in azimuthal angle, respectively. For electrons, the isolation selection is tuned together with the multivariate identi cation requirement to give an signal e ciency of 80% independent of . Electrons are required to have a relative isolation smaller than 0.11, 0.18, and 0.15 for j j ranges of 0.00{0.80, 0.80{1.48, and 1.48{ 2.50. Muons are required to have a relative isolation smaller than 0.12 over the entire j j < 2:1 range used in the analysis. The e ciency of the selection requirements for muons originating from W boson decays is approximately 96%. To reduce the contribution from the DY production, the events are required to have no more than one isolated lepton in the nal state. Jets are reconstructed from PF candidates using the anti-kT clustering algorithm [47, 48] with a distance parameter 0.5. Charged particles not originating from the primary vertex are not considered for jet clustering [49]. Jets from pileup are identi ed and removed with a pileup jet identi cation algorithm [50], based on both vertex information and jet shape information. A jet quality requirement, primarily based on the energy ratio between the charged and neutral hadrons within the jet cone [51], is also applied in order to remove jets originating from calorimeter noise. Jets overlapping within R = 0:3 with identi ed leptons are not considered. Pileup collisions and the underlying event can contribute to the energy of the re A correction based on the projected area of a jet on the front face of the calorimeter is used to subtract the extra energy deposited in the jet coming from pileup [49, 52]. Furthermore, jet energy corrections are applied to account for the nonlinear energy response of the calorimeters and for other instrumental e ects. These corrections are based on in situ measurements using dijet, +jet, and Z+jet data samples [53]. Electrons (muons) are required to have pT greater than 30 (25) GeV and j j < 2.5 (2.1). The electrons found in the transition region between the barrel and endcap (1:44 < j j < 1:57) are not considered. Events are required to have at least two jets with pT > 60 GeV (leading) and pT > 50 GeV (subleading), both with j j < 4:7. To measure the W boson momentum an accurate ETmiss measurement is essential. We use ETmiss measured in the event with the full PF reconstruction [54] and require ETmiss > 30 (25) GeV in the electron (muon) channel to distinguish the W boson signal from multijet backgrounds. The leptonically decaying W boson is reconstructed by combining the kineof the neutrino can be estimated by assuming that the lepton and the ETmiss arise from a W boson with the nominal mass of 80.4 GeV. A quadratic equation for the neutrino pz component is obtained that can be solved up to a two-fold ambiguity. In the case of two real solutions, the neutrino pz solution that is closer to the charged lepton pz is selected. In the case of two imaginary solutions, the common real part of the solutions is selected. To reduce the background from events that do not contain W ! ` decays, we require that the transverse mass of the W boson candidate exceed 30 GeV. The transverse mass of the leptonically decaying W boson is de ned as `;p~Tmiss is the azimuthal angle between the lepton and the p~miss directions. In order to T further improve the signal over background ratio, two additional requirements are used: the Zeppenfeld variable [1], de ned as jyW (yj1 + yj2)=2j, where y represents rapidity, must be less than 1.2; the invariant mass mjj of the jet pair is required to be greater than 1000 GeV. Table 1 provides a summary of the selection requirements. Background estimation and signal extraction The EW W(! )+2-jets events, with the leptons decaying to electrons or muons, have signatures similar to those for signal events and they represent 4% (5%) of the signal sample in the electron (muon) channel as estimated from simulation. When calculating the ducial cross section we require that the W boson decays to e or are not included as part of the signal. W ! ` Lepton requirements Single lepton trigger High-quality lepton ID and isolation Electron (muon) pT > 30 (25) GeV ETmiss > 30 (25) GeV for electron (muon) channels W transverse mass > 30 GeV Veto second lepton pTj1 > 60 GeV, pTj2 > 50 GeV (yj1 + yj2)=2j < 1:2 mjj > 1000 GeV A boosted decision tree (BDT) technique is used to distinguish between signal and background events and an unbinned maximum-likelihood t to the mjj distribution is used to extract the number of signal events as described below. The BDT technique is implemented in the Toolkit for multivariate data analysis (TMVA) [55]. The adaptive boost algorithm (AdaBoost) [56] is used in the BDT training, which gives larger weights for decision trees with lower misclassi cation errors. For good BDT performance, variables well-modeled by simulation are required. The following input variables are used: lepton , jet, and the W boson pT. between the W boson and each The BDT is trained with simulated samples to discriminate the EW )+2-jets signal from the QCD W+jets events, which is the main background; selected simulated events with mjj > 260 GeV are used. The lower required mjj value provides a larger sample of events that help avoid over-training the BDT. Studies give no indication of a bias as a function of the minimum mjj. On average the EW events have higher BDT values than the background events. The QCD W+jet simulation overestimates the event yield in the data set, and therefore a data-to-MC scaling factor is extracted as follows. The other background contributions are xed to their simulated yields while the normalization of the QCD W+jets simulated events is scaled so that the total number of events in simulation equals that in the data set for BDT values less than 0.1. The t is performed for events with mjj > 1000 GeV. The normalization uncertainties of the other backgrounds are considered as a source of systematic uncertainty. Systematic uncertainties related to the remaining discrepancy between data and simulation and to the contamination from signal in the BDT <0:1 region, especially in the muon channel as gure 2, are discussed in section 6. The resulting W+jets normalization factors 0:03 (syst) and 0:70 0:05 (syst) for the electron and muon channels, respectively. These normalization factors are applied in addition to the NNLO K factor of approximately 1.24, mentioned in section 3. The scale factor relative to LO is thus around 0.87, which agrees with the result in [57] and has also been veri ed with MCFM. Finally, similar numbers are found in another CMS analysis involving the VBF topology [58]. The QCD W+jets normalization scale factors are used later in the t to the mjj distributions when extracting the number of signal events. the electron (left) and muon (right) channels with mjj > 1000 GeV. The simulated QCD W+jets sample is multiplied by the normalization scale factors and the simulated signal sample is multiplied by the signal strength. Figure 2 shows the BDT output distributions for the electron and muon channels, with the simulated QCD W+jets sample multiplied by the normalization scale factors described above and the simulated signal sample multiplied by the signal strength we obtain later in this section. The uncertainty band includes the statistical uncertainty of the simulated samples, the integrated luminosity uncertainty, and a systematic uncertainty in the QCD background due to misidenti ed electrons (to be discussed below). The distributions of the di erence between data and simulation divided by the uncertainty, where the uncertainty is computed at each point by combining the uncertainties in data and in simulation, are also shown in these plots. The distributions of the leading jet pT and the between the two jets for data and simulation after the lepton and jet selection requirements are shown in gures 3 and 4, respectively, with the QCD W+jets MC sample multiplied by the normalization scale factors described above. Taking into account the QCD W+jet background normalization, the extraction of the signal yield is performed using an unbinned maximum-likelihood t to the mjj distribution in data. The signal strength signal, which is de ned as the ratio of the extracted signal yield and the expected yield predicted by the LO SM calculation, is the free parameter We employ a parametric function to model the mjj distributions for the signal and each of the background contributions listed in table 2. Only dijet masses greater than 1000 GeV are used in the t, as indicated by the study in ref. [1]. Based on the simulation we expect the mjj distributions to be well-described by the two parameter power law function F = mjja0+a1 ln (mjj=8000) ; the electron (left) and muon (right) channels with mjj > 1000 GeV. between the two leading jets between data and simulation for the electron (left) and muon (right) channels with mjj > 1000 GeV. where a0 and a1 are obtained from the simulation and mjj is in GeV. Separate ts are performed to the simulated distribution for the signal and each of the background contributions. This function provides a good description of the signal and background shapes. The normalization of the EW W(! e ; )+2-jets contribution is a free parameter in the t to the mjj distribution, while the shape parameters are xed to the MC prediction. The e ect of QCD NLO corrections for the EW W(! ` )+2-jets process is tested by modifying the shape parameters in order to reproduce the prediction of vbfnlo 2.6 [59]; the resulting variation in the evaluated signal strength is below 1%. /100103 1000 1500 2000 2500 1000 1500 2000 2500 1000 1500 2000 2500 1000 1500 2000 2500 channels. Fitted projections of signal and background processes are plotted as shaded regions (left plots). The mjj distributions are shown after subtraction of all components except the EW W+2jets process (center plots). Finally, the (data Here the error bars represent the statistical uncertainties of the data. The QCD W+jets background shape parameters are left free during the mjj t to data because of the poor agreement between data and simulation for this background. The normalization of the QCD W+jets background is xed to the t result from the BDT distribution, as described above. Multijet events can be misidenti ed as signal because of the nonnegligible probability of jets to be misidenti ed as electrons. The fraction of fake electrons in the single electron data passing the selection described in section 4 is obtained from an independent twocomponent t to the ETmiss distribution following ref. [44]. The normalization and shape parameters are xed in the t. We conservatively assume a 50% uncertainty in the QCD multijet yield when tting the data. The top quark background is a combination of tt and single top quark processes with the simulated samples normalized according to the known cross sections. The shape parameters are obtained from the simulation and xed during the t. The top quark background normalization is assumed to have a Gaussian probability density function with a width Other background processes, such as diboson production and DY, are minor and are represented by their components with the corresponding normalization xed in the t. The shape parameters are obtained from simulation and are also xed. from the maximum-likelihood t to data. Figure 5 (left) shows the observed mjj distributions for the electron and muon channels, together with the tted projections of the contribution of the signal and background processes described by the two-parameter power law function. The shapes of the di erent t components look similar, nonetheless, their slopes are di erent. Figure 5 (center) shows the mjj distribution after subtracting all SM background contributions. Figure 5 (right) presents the distributions of the di erence between the mjj values in data and from t, divided by the data uncertainty. The yields of the various SM components, as determined by the t, are reported in table 2. The resulting signal strengths 0:08 (stat) and 0:87 0:08 (stat) for electron and muon channels, respectively. While a simple counting of events in table 2 can determine the number of EW W+2-jets events, the tting procedure includes the distribution of gure 5 and allows us to use the shape parameters when calculating event yields. This approach produces an acceptable model of the data ( gure 5 left) and allows us to extract the EW W+2-jets signal ( gure 5 center). In gure 5 right the mean value of the pull distribution is 0:04 (0.03), consistent with zero in the electron (muon) channel, and the pull variance is 0.90 (0.87), consistent with unity in the electron (muon) channel. Systematic uncertainties Systematic uncertainties arising from the jet energy scale and resolution are estimated by varying the calibration parameters up and down by one standard deviation in the simulation and evaluating the impact on the cross sections [53]. A di erent parametric function is used to model the QCD W+jets shape to estimate the potential in uence of the choice of parametric function in the t result, and it is considered as a source of systematic uncertainty. To estimate the systematic uncertainty from the disagreement between data and simulation in the BDT output distributions, we divide the sideband in BDT (BDT < 0:1) used to estimate the scale factor for the QCD W+jets normalization into two roughly equally populated regions (BDT < 0:02, 0:02 < BDT < 0:1). We recompute the scale factor using these two subsamples and propagate the variation in the normalization to the nal result. The uncertainty with respect to the QCD W+jets normalization is 4.9% (7.1%) in the electron (muon) channel. The uncertainty propagated to the cross section is 12.9% (16.6%) in the electron (muon) channel. The uncertainty on the normalization is then added in quadrature with the shape uncertainty as shown in table 3. Background tt samples produced with di erent generators and parton shower models (mc@nlo + herwig and powheg + pythia) are used as alternative to the default tt MadGraph shapes. We also select a tt enriched phase space to compare the tt sample produced with MadGraph with data. Reasonable agreement is found between the MadGraph tt sample and data. The EW W(! ` )+2-jets and QCD W(! ` )+2-jets processes have a positive interference term, which is neglected. In order to estimate the e ect of the interference, two additional samples are generated using MadGraph: QCD W(! ` )+2-jets sample (strong process only), EW W(! ` )+2-jets + QCD W(! ` )+2-jets + interference e ect sample (mixture of EW and strong processes). We subtract the QCD and EW processes from the mixture sample to estimate the e ect of the interference. The contribution of the interference e ect is considered as an additional background with a xed shape and normalization. The true EW signal strength is smaller than the apparent signal strength because the interference is positive. The fraction of jets faking electrons is varied by 50% in the electron channel to estimate the uncertainty. A small di erence in ETmiss resolution [54] between data and simulation a ects the signal acceptance at the 0.5% level. We also consider systematic uncertainties in the trigger e ciency (1%) and in the lepton reconstruction and selection e ciencies (2%) [44]. The uncertainty in the luminosity measurement is 2.6% [60]. Finally, we calculated the acceptance for the ducial region with herwig++ signal samples, resulting in a 1.7% change in the measured cross section. The systematic uncertainties are summarized in table 3. The ducial EW W+2-jets cross section is calculated for W bosons decaying to electrons or muons and for pTj1 > 60 GeV, pTj2 > 50 GeV, j jj < 4:7, and mjj > 1000 GeV. Here we include neutrinos in our de nition of generator jets, which are reconstructed in the same manner as the PF jets mentioned above, but now at generator level. Source of uncertainty Jet energy scale Jet energy resolution QCD W+jets shape and normalization Top quark background shape and normalization Interference e ect Jets faking electrons fraction (electron channel) Lepton trigger e ciency Lepton selection e ciency Total (without integrated luminosity) The ducial cross section is computed as ducial = generator signal acceptance; generator is the generator level cross section, signal is the signal strength, and acceptance is the acceptance evaluated with the EW W(! e ; To calculate acceptance, we divide the number of events in the ducial region by the total number of generated events which results in an value of 0.0448. The uncertainty due to the limited size of the simulated sample is 0.7%. The ducial selections are di erent from the selections used for the measurement (as summarized in table 1), for which the acceptance is 0.0128. The uncertainty due to the limited size of the simulated sample is 1.3%. We use the best linear unbiased estimate method [61, 62] to combine the results in the electron and muon channels, assuming that the statistical uncertainties are uncorrelated and the systematic uncertainties are 100% correlated between the two channels. Because in this case the (fully correlated) systematic uncertainties are much larger than the statistical uncertainties, the method yields a statistical uncertainty for the combined result that is not much smaller than the statistical uncertainties for the individual channels. The results are summarized in table 4, and are in agreement with the SM LO prediction of 0:02 (PDF) pb obtained from MadGraph5 amc@nlo 2.1 interfaced to pythia 6.4. The statistical signi cance of the observation is approximately four stanA measurement has been performed of the cross section for the electroweak production of W bosons produced in association with two forward jets in proton-proton collisions. Measured cross section Table 4. The measured values for the EW W(! ` )+2-jets ducial cross section. The W bosons were identi ed through their decay to electrons and muons. The data set was collected by the CMS experiment and corresponds to an integrated luminosity of 0:5 fb 1 in the electron (muon) channel at p s = 8 TeV. The measured value ducial electroweak W+2-jets cross section, for W bosons decaying to electrons or muons and for pTj1 > 60 GeV, pTj2 > 50 GeV, j jj < 4.7, and mjj > 1000 GeV, is 0:01 (lumi) pb, consistent with the SM LO prediction of 0:02 (PDF) pb obtained via MadGraph5 amc@nlo 2.1 interfaced with pythia 6.4. This is the rst measurement of the cross section for electroweak W+2We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative sta s at CERN and at other CMS institutes for their contributions to the success of the CMS e ort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid for delivering so e ectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC and the CMS detector provided by the following funding agencies: BMWFW and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS (Colombia); MSES and CSF (Croatia); RPF (Cyprus); SENESCYT (Ecuador); MoER, ERC IUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRT (Greece); OTKA and NIH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS and RFBR (Russia); MESTD (Serbia); SEIDI and CPAN (Spain); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter, IPST, STAR and NSTDA (Thailand); TUBITAK and TAEK (Turkey); NASU and SFFR (Ukraine); STFC (United Kingdom); DOE and NSF (U.S.A.). Individuals have received support from the Marie-Curie program and the European Research Council and EPLANET (European Union); the Leventis Foundation; the A. P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy O ce; the Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Council of Science and Industrial Research, India; the HOMING PLUS program of the Foundation for Polish Science, co nanced 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 2013/11/B/ST2/04202, 2014/13/B/ST2/02543 and 2014/15/B/ST2/03998, Sonatabis 2012/07/E/ST2/01406; the Thalis and Aristeia programs co nanced by EU-ESF and the Greek NSRF; the National Priorities Research Program by Qatar National Research Fund; the Programa Clar n-COFUND del Principado de Asturias; the Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University and the Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); and the Welch Foundation, contract C-1845. 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Zaganidis Universite Catholique de Louvain, Louvain-la-Neuve, Belgium S. Basegmez, C. Belu 4 , O. Bondu, S. Brochet, G. Bruno, A. Caudron, L. Ceard, C. Delaere, D. Favart, L. Forthomme, A. Giammanco5, A. Jafari, P. Jez, M. Komm, V. Lemaitre, A. Mertens, M. Musich, C. Nuttens, L. Perrini, K. Piotrzkowski, A. Popov6, L. Quertenmont, M. Selvaggi, M. Vidal Marono Universite de Mons, Mons, Belgium N. Beliy, G.H. Hammad Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brazil W.L. Alda Junior, F.L. Alves, G.A. Alves, L. Brito, M. Correa Martins Junior, M. Hamer, C. Hensel, A. Moraes, M.E. Pol, P. Rebello Teles { 18 { Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil E. Belchior Batista Das Chagas, W. Carvalho, J. Chinellato7, A. Custodio, E.M. Da Costa, D. De Jesus Damiao, C. De Oliveira Martins, S. Fonseca De Souza, L.M. Huertas Guativa, H. Malbouisson, D. Matos Figueiredo, C. Mora Herrera, L. Mundim, H. Nogima, W.L. Prado Da Silva, A. Santoro, A. Sznajder, E.J. Tonelli Manganote7, A. Vilela Pereira Universidade Estadual Paulista a, Universidade Federal do ABC b, S~ao Paulo, E.M. Gregoresb, P.G. Mercadanteb, C.S. Moona;8, S.F. Novaesa, Sandra S. Padulaa, D. Romero Abadb, J.C. Ruiz Vargas Institute for Nuclear Research and Nuclear Energy, So a, Bulgaria A. Aleksandrov, R. Hadjiiska, P. Iaydjiev, M. Rodozov, S. Stoykova, G. Sultanov, M. VuUniversity of So a, So a, Bulgaria A. Dimitrov, I. Glushkov, L. Litov, B. Pavlov, P. Petkov Institute of High Energy Physics, Beijing, China M. Ahmad, J.G. Bian, G.M. Chen, H.S. Chen, M. Chen, T. Cheng, R. Du, C.H. Jiang, D. Leggat, R. Plestina9, F. Romeo, S.M. Shaheen, A. Spiezia, J. Tao, C. Wang, Z. Wang, State Key Laboratory of Nuclear Physics and Technology, Peking University, C. Asawatangtrakuldee, Y. Ban, J. Li, Q. Li, S. Liu, Y. Mao, S.J. Qian, D. Wang, Z. Xu Universidad de Los Andes, Bogota, Colombia C. Avila, A. Cabrera, L.F. Chaparro Sierra, C. Florez, J.P. Gomez, B. Gomez Moreno, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, Croatia N. Godinovic, D. Lelas, I. Puljak, P.M. Ribeiro Cipriano University of Split, Faculty of Science, Split, Croatia Z. Antunovic, M. Kovac Institute Rudjer Boskovic, Zagreb, Croatia V. Brigljevic, K. Kadija, J. Luetic, S. Micanovic, L. Sudic University of Cyprus, Nicosia, Cyprus Charles University, Prague, Czech Republic M. Bodlak, M. Finger10, M. Finger Jr.10 A. Attikis, G. Mavromanolakis, J. Mousa, C. Nicolaou, F. Ptochos, P.A. Razis, Academy of Scienti c Research and Technology of the Arab Republic of Egypt, Egyptian Network of High Energy Physics, Cairo, Egypt A.A. Abdelalim11;12, A. Awad, A. Mahrous11, A. Radi13;14 National Institute of Chemical Physics and Biophysics, Tallinn, Estonia B. Calpas, M. Kadastik, M. Murumaa, M. Raidal, A. Tiko, C. Veelken Department of Physics, University of Helsinki, Helsinki, Finland P. Eerola, J. Pekkanen, M. Voutilainen Helsinki Institute of Physics, Helsinki, Finland P. Luukka, T. Peltola, J. Tuominiemi, E. Tuovinen, L. Wendland Lappeenranta University of Technology, Lappeenranta, Finland J. Talvitie, T. Tuuva IRFU, CEA, Universite Paris-Saclay, Gif-sur-Yvette, France M. Besancon, F. Couderc, M. Dejardin, D. Denegri, B. Fabbro, J.L. Faure, C. Favaro, F. Ferri, S. Ganjour, A. Givernaud, P. Gras, G. Hamel de Monchenault, P. Jarry, E. Locci, M. Machet, J. Malcles, J. Rander, A. Rosowsky, M. Titov, A. Zghiche Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, Y. Yilmaz, A. Zabi Institut Pluridisciplinaire Hubert Curien, Universite de Strasbourg, Universite de Haute Alsace Mulhouse, CNRS/IN2P3, Strasbourg, France J.-L. Agram15, J. Andrea, A. Aubin, D. Bloch, J.-M. Brom, M. Buttignol, E.C. Chabert, N. Chanon, C. Collard, E. Conte15, X. Coubez, J.-C. Fontaine15, D. Gele, U. Goerlach, C. Goetzmann, A.-C. Le Bihan, J.A. Merlin2, K. Skovpen, P. Van Hove Centre de Calcul de l'Institut National de Physique Nucleaire et de Physique des Particules, CNRS/IN2P3, Villeurbanne, France Universite de Lyon, Universite Claude Bernard Lyon 1, CNRS-IN2P3, Institut de Physique Nucleaire de Lyon, Villeurbanne, France S. Beauceron, C. Bernet, G. Boudoul, E. Bouvier, C.A. Carrillo Montoya, R. Chierici, D. Contardo, B. Courbon, P. Depasse, H. El Mamouni, J. Fan, J. Fay, S. Gascon, M. Gouzevitch, B. Ille, F. Lagarde, I.B. Laktineh, M. Lethuillier, L. Mirabito, A.L. Pequegnot, S. Perries, J.D. Ruiz Alvarez, D. Sabes, L. Sgandurra, V. Sordini, M. Vander Donckt, P. Verdier, S. Viret Georgian Technical University, Tbilisi, Georgia T. Toriashvili16 Z. Tsamalaidze10 Tbilisi State University, Tbilisi, Georgia RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany C. Autermann, S. Beranek, L. Feld, A. Heister, M.K. Kiesel, K. Klein, M. Lipinski, A. Ostapchuk, M. Preuten, F. Raupach, S. Schael, J.F. Schulte, T. Verlage, H. Weber, RWTH Aachen University, III. Physikalisches Institut A, Aachen, Germany M. Ata, M. Brodski, E. Dietz-Laursonn, D. Duchardt, M. Endres, M. Erdmann, S. Erdweg, T. Esch, R. Fischer, A. Guth, T. Hebbeker, C. Heidemann, K. Hoepfner, S. Knutzen, P. Kreuzer, M. Merschmeyer, A. Meyer, P. Millet, S. Mukherjee, M. Olschewski, K. Padeken, P. Papacz, T. Pook, M. Radziej, H. Reithler, M. Rieger, F. Scheuch, L. Sonnenschein, D. Teyssier, S. Thuer RWTH Aachen University, III. Physikalisches Institut B, Aachen, Germany V. Cherepanov, Y. Erdogan, G. Flugge, H. Geenen, M. Geisler, F. Hoehle, B. Kargoll, T. Kress, A. Kunsken, J. Lingemann, A. Nehrkorn, A. Nowack, I.M. Nugent, C. Pistone, O. Pooth, A. Stahl Deutsches Elektronen-Synchrotron, Hamburg, Germany M. Aldaya Martin, I. Asin, N. Bartosik, O. Behnke, U. Behrens, K. Borras17, A. Burgmeier, A. Campbell, C. Contreras-Campana, F. Costanza, C. Diez Pardos, G. Dolinska, S. Dooling, T. Dorland, G. Eckerlin, D. Eckstein, T. Eichhorn, G. Flucke, E. Gallo18, J. Garay Garcia, A. Geiser, A. Gizhko, P. Gunnellini, J. Hauk, M. Hempel19, H. Jung, A. Kalogeropoulos, O. Karacheban19, M. Kasemann, P. Katsas, J. Kieseler, C. Kleinwort, I. Korol, W. Lange, J. Leonard, K. Lipka, A. Lobanov, W. Lohmann19, R. Mankel, I.-A. MelzerPellmann, A.B. Meyer, G. Mittag, J. Mnich, A. Mussgiller, S. Naumann-Emme, A. Nayak, E. Ntomari, H. Perrey, D. Pitzl, R. Placakyte, A. Raspereza, B. Roland, M.O . Sahin, P. Saxena, T. Schoerner-Sadenius, C. Seitz, S. Spannagel, N. Stefaniuk, K.D. Trippkewitz, R. Walsh, C. Wissing University of Hamburg, Hamburg, Germany V. Blobel, M. Centis Vignali, A.R. Draeger, J. Er e, E. Garutti, K. Goebel, D. Gonzalez, M. Gorner, J. Haller, M. Ho mann, R.S. Hoing, A. Junkes, R. Klanner, R. Kogler, N. Kovalchuk, T. Lapsien, T. Lenz, I. Marchesini, D. Marconi, M. Meyer, D. Nowatschin, J. Ott, F. Pantaleo2, T. Pei er, A. Perieanu, N. Pietsch, J. Poehlsen, D. Rathjens, C. Sander, C. Scharf, P. Schleper, E. Schlieckau, A. Schmidt, S. Schumann, J. Schwandt, V. Sola, H. Stadie, G. Steinbruck, F.M. Stober, H. Tholen, D. Troendle, E. Usai, L. Vanelderen, A. Vanhoefer, B. Vormwald Institut fur Experimentelle Kernphysik, Karlsruhe, Germany C. Barth, C. Baus, J. Berger, C. Boser, E. Butz, T. Chwalek, F. Colombo, W. De Boer, A. Descroix, A. Dierlamm, S. Fink, F. Frensch, R. Friese, M. Gi els, A. Gilbert, D. Haitz, F. Hartmann2, S.M. Heindl, U. Husemann, I. Katkov6, A. Kornmayer2, P. Lobelle Pardo, B. Maier, H. Mildner, M.U. Mozer, T. Muller, Th. Muller, M. Plagge, G. Quast, K. Rabbertz, S. Rocker, F. Roscher, M. Schroder, G. Sieber, H.J. Simonis, R. Ulrich, J. Wagner-Kuhr, S. Wayand, M. Weber, T. Weiler, S. Williamson, C. Wohrmann, R. Wolf Institute of Nuclear and Particle Physics (INPP), NCSR Demokritos, Aghia A. Psallidas, I. Topsis-Giotis G. Anagnostou, G. Daskalakis, T. Geralis, V.A. Giakoumopoulou, A. Kyriakis, D. Loukas, National and Kapodistrian University of Athens, Athens, Greece A. Agapitos, S. Kesisoglou, A. Panagiotou, N. Saoulidou, E. Tziaferi University of Ioannina, Ioannina, Greece E. Paradas, J. Strologas Wigner Research Centre for Physics, Budapest, Hungary G. Bencze, C. Hajdu, A. Hazi, P. Hidas, D. Horvath20, F. Sikler, V. Veszpremi, G. Vesztergombi21, A.J. Zsigmond Institute of Nuclear Research ATOMKI, Debrecen, Hungary N. Beni, S. Czellar, J. Karancsi22, J. Molnar, Z. Szillasi2 University of Debrecen, Debrecen, Hungary M. Bartok23, A. Makovec, P. Raics, Z.L. Trocsanyi, B. Ujvari National Institute of Science Education and Research, Bhubaneswar, India S. Choudhury24, P. Mal, K. Mandal, D.K. Sahoo, N. Sahoo, S.K. Swain Panjab University, Chandigarh, India S. Bansal, S.B. Beri, V. Bhatnagar, R. Chawla, R. Gupta, U.Bhawandeep, A.K. Kalsi, A. Kaur, M. Kaur, R. Kumar, A. Mehta, M. Mittal, J.B. Singh, G. Walia University of Delhi, Delhi, India Ashok Kumar, A. Bhardwaj, B.C. Choudhary, R.B. Garg, S. Malhotra, M. Naimuddin, N. Nishu, K. Ranjan, R. Sharma, V. Sharma Saha Institute of Nuclear Physics, Kolkata, India S. Bhattacharya, K. Chatterjee, S. Dey, S. Dutta, N. Majumdar, A. Modak, K. Mondal, S. Mukhopadhyay, A. Roy, D. Roy, S. Roy Chowdhury, S. Sarkar, M. Sharan Bhabha Atomic Research Centre, Mumbai, India R. Chudasama, D. Dutta, V. Jha, V. Kumar, A.K. Mohanty2, L.M. Pant, P. Shukla, Tata Institute of Fundamental Research, Mumbai, India T. Aziz, S. Banerjee, S. Bhowmik25, R.M. Chatterjee, R.K. Dewanjee, S. Dugad, S. Ganguly, S. Ghosh, M. Guchait, A. Gurtu26, Sa. Jain, G. Kole, S. Kumar, B. Mahakud, N. Sur, B. Sutar, N. Wickramage27 Indian Institute of Science Education and Research (IISER), Pune, India S. Chauhan, S. Dube, A. Kapoor, K. Kothekar, S. Sharma Institute for Research in Fundamental Sciences (IPM), Tehran, Iran H. Bakhshiansohi, H. Behnamian, S.M. Etesami28, A. Fahim29, M. Khakzad, M. Mo hammadi Najafabadi, M. Naseri, S. Paktinat Mehdiabadi, F. Rezaei Hosseinabadi, B. Safarzadeh30, M. Zeinali University College Dublin, Dublin, Ireland M. Felcini, M. Grunewald INFN Sezione di Bari a, Universita di Bari b, Politecnico di Bari c, Bari, Italy M. Abbresciaa;b, C. Calabriaa;b, C. Caputoa;b, A. Colaleoa, D. Creanzaa;c, L. Cristellaa;b, N. De Filippisa;c, M. De Palmaa;b, L. Fiorea, G. Iasellia;c, G. Maggia;c, M. Maggia, G. Minielloa;b, S. Mya;c, S. Nuzzoa;b, A. Pompilia;b, G. Pugliesea;c, R. Radognaa;b, A. Ranieria, G. Selvaggia;b, L. Silvestrisa;2, R. Vendittia;b INFN Sezione di Bologna a, Universita di Bologna b, Bologna, Italy G. Abbiendia, C. Battilana2, D. Bonacorsia;b, S. Braibant-Giacomellia;b, L. Brigliadoria;b, R. Campaninia;b, P. Capiluppia;b, A. Castroa;b, F.R. Cavalloa, S.S. Chhibraa;b, G. Codispotia;b, M. Cu ania;b, G.M. Dallavallea, F. Fabbria, A. Fanfania;b, D. Fasanellaa;b, P. Giacomellia, C. Grandia, L. Guiduccia;b, S. Marcellinia, G. Masettia, A. Montanaria, F.L. Navarriaa;b, A. Perrottaa, A.M. Rossia;b, T. Rovellia;b, G.P. Sirolia;b, N. Tosia;b;2 INFN Sezione di Catania a, Universita di Catania b, Catania, Italy G. Cappellob, M. Chiorbolia;b, S. Costaa;b, A. Di Mattiaa, F. Giordanoa;b, R. Potenzaa;b, A. Tricomia;b, C. Tuvea;b INFN Sezione di Firenze a, Universita di Firenze b, Firenze, Italy G. Barbaglia, V. Ciullia;b, C. Civininia, R. D'Alessandroa;b, E. Focardia;b, V. Goria;b, P. Lenzia;b, M. Meschinia, S. Paolettia, G. Sguazzonia, L. Viliania;b;2 INFN Laboratori Nazionali di Frascati, Frascati, Italy L. Benussi, S. Bianco, F. Fabbri, D. Piccolo, F. Primavera2 INFN Sezione di Genova a, Universita di Genova b, Genova, Italy V. Calvellia;b, F. Ferroa, M. Lo Veterea;b, M.R. Mongea;b, E. Robuttia, S. Tosia;b INFN Sezione di Milano-Bicocca a, Universita di Milano-Bicocca b, Milano, L. Brianza, M.E. Dinardoa;b, S. Fiorendia;b, S. Gennaia, R. Gerosaa;b, A. Ghezzia;b, P. Govonia;b, S. Malvezzia, R.A. Manzonia;b;2, B. Marzocchia;b, D. Menascea, L. Moronia, M. Paganonia;b, D. Pedrinia, S. Ragazzia;b, N. Redaellia, T. Tabarelli de Fatisa;b INFN Sezione di Napoli a, Universita di Napoli 'Federico II' b, Napoli, Italy, Universita della Basilicata c, Potenza, Italy, Universita G. Marconi d, Roma, S. Buontempoa, N. Cavalloa;c, S. Di Guidaa;d;2, M. Espositoa;b, F. Fabozzia;c, A.O.M. Iorioa;b, G. Lanzaa, L. Listaa, S. Meolaa;d;2, M. Merolaa, P. Paoluccia;2, C. Sciaccaa;b, F. Thyssen Trento c, Trento, Italy INFN Sezione di Padova a, Universita di Padova b, Padova, Italy, Universita di P. Azzia;2, N. Bacchettaa, M. Bellatoa, L. Benatoa;b, D. Biselloa;b, A. Bolettia;b, R. Carlina;b, P. Checchiaa, M. Dall'Ossoa;b;2, T. Dorigoa, U. Dossellia, F. Gasparinia;b, U. Gasparinia;b, A. Gozzelinoa, S. Lacapraraa, M. Margonia;b, A.T. Meneguzzoa;b, J. Pazzinia;b;2, N. Pozzobona;b, P. Ronchesea;b, F. Simonettoa;b, E. Torassaa, M. Tosia;b, S. Vaninia;b, S. Venturaa, M. Zanetti, P. Zottoa;b, A. Zucchettaa;b;2, G. Zumerlea;b INFN Sezione di Pavia a, Universita di Pavia b, Pavia, Italy A. Braghieria, A. Magnania;b, P. Montagnaa;b, S.P. Rattia;b, V. Rea, C. Riccardia;b, P. Salvinia, I. Vaia;b, P. Vituloa;b INFN Sezione di Perugia a, Universita di Perugia b, Perugia, Italy L. Alunni Solestizia;b, G.M. Bileia, D. Ciangottinia;b;2, L. Fanoa;b, P. Laricciaa;b, G. Mantovania;b, M. Menichellia, A. Sahaa, A. Santocchiaa;b INFN Sezione di Pisa a, Universita di Pisa b, Scuola Normale Superiore di Pisa c, Pisa, Italy K. Androsova;31, P. Azzurria;2, G. Bagliesia, J. Bernardinia, T. Boccalia, R. Castaldia, M.A. Cioccia;31, R. Dell'Orsoa, S. Donatoa;c;2, G. Fedi, L. Foaa;cy, A. Giassia, M.T. Grippoa;31, F. Ligabuea;c, T. Lomtadzea, L. Martinia;b, A. Messineoa;b, F. Pallaa, A. Rizzia;b, A. Savoy-Navarroa;32, A.T. Serbana, P. Spagnoloa, R. Tenchinia, G. Tonellia;b, A. Venturia, P.G. Verdinia INFN Sezione di Roma a, Universita di Roma b, Roma, Italy L. Baronea;b, F. Cavallaria, G. D'imperioa;b;2, D. Del Rea;b;2, M. Diemoza, S. Gellia;b, C. Jordaa, E. Longoa;b, F. Margarolia;b, P. Meridiania, G. Organtinia;b, R. Paramattia, F. Preiatoa;b, S. Rahatloua;b, C. Rovellia, F. Santanastasioa;b, P. Traczyka;b;2 INFN Sezione di Torino a, Universita di Torino b, Torino, Italy, Universita del Piemonte Orientale c, Novara, Italy N. Amapanea;b, R. Arcidiaconoa;c;2, S. Argiroa;b, M. Arneodoa;c, R. Bellana;b, C. Biinoa, N. Cartigliaa, M. Costaa;b, R. Covarellia;b, A. Deganoa;b, N. Demariaa, L. Fincoa;b;2, B. Kiania;b, C. Mariottia, S. Masellia, E. Migliorea;b, V. Monacoa;b, E. Monteila;b, M.M. Obertinoa;b, L. Pachera;b, N. Pastronea, M. Pelliccionia, G.L. Pinna Angionia;b, F. Raveraa;b, A. Romeroa;b, M. Ruspaa;c, R. Sacchia;b, A. Solanoa;b, A. Staianoa INFN Sezione di Trieste a, Universita di Trieste b, Trieste, Italy S. Belfortea, V. Candelisea;b, M. Casarsaa, F. Cossuttia, G. Della Riccaa;b, B. Gobboa, C. La Licataa;b, M. Maronea;b, A. Schizzia;b, A. Zanettia Kangwon National University, Chunchon, Korea A. Kropivnitskaya, S.K. Nam Kyungpook National University, Daegu, Korea Chonbuk National University, Jeonju, Korea J.A. Brochero Cifuentes, H. Kim, T.J. Kim33 D.H. Kim, G.N. Kim, M.S. Kim, D.J. Kong, S. Lee, Y.D. Oh, A. Sakharov, D.C. Son Chonnam National University, Institute for Universe and Elementary Particles, Korea University, Seoul, Korea S. Lee, J. Lim, S.K. Park, Y. Roh Seoul National University, Seoul, Korea University of Seoul, Seoul, Korea S. Cho, S. Choi, Y. Go, D. Gyun, B. Hong, H. Kim, Y. Kim, B. Lee, K. Lee, K.S. Lee, M. Choi, H. Kim, J.H. Kim, J.S.H. Lee, I.C. Park, G. Ryu, M.S. Ryu Sungkyunkwan University, Suwon, Korea Y. Choi, J. Goh, D. Kim, E. Kwon, J. Lee, I. Yu Vilnius University, Vilnius, Lithuania V. Dudenas, A. Juodagalvis, J. Vaitkus National Centre for Particle Physics, Universiti Malaya, Kuala Lumpur, Malaysia I. Ahmed, Z.A. Ibrahim, J.R. Komaragiri, M.A.B. Md Ali34, F. Mohamad Idris35, W.A.T. Wan Abdullah, M.N. Yusli, Z. Zolkapli Centro de Investigacion y de Estudios Avanzados del IPN, Mexico City, Mexico E. Casimiro Linares, H. Castilla-Valdez, E. De La Cruz-Burelo, I. Heredia-De La Cruz36, A. Hernandez-Almada, R. Lopez-Fernandez, J. Mejia Guisao, A. Sanchez-Hernandez Universidad Iberoamericana, Mexico City, Mexico S. Carrillo Moreno, F. Vazquez Valencia Benemerita Universidad Autonoma de Puebla, Puebla, Mexico I. Pedraza, H.A. Salazar Ibarguen, C. Uribe Estrada Universidad Autonoma de San Luis Potos , San Luis Potos , Mexico A. Morelos Pineda University of Auckland, Auckland, New Zealand University of Canterbury, Christchurch, New Zealand A. Ahmad, M. Ahmad, Q. Hassan, H.R. Hoorani, W.A. Khan, T. Khurshid, M. Shoaib, National Centre for Nuclear Research, Swierk, Poland H. Bialkowska, M. Bluj, B. Boimska, T. Frueboes, M. Gorski, M. Kazana, K. Nawrocki, K. Romanowska-Rybinska, M. Szleper, P. Zalewski Institute of Experimental Physics, Faculty of Physics, University of Warsaw, G. Brona, K. Bunkowski, A. Byszuk37, K. Doroba, A. Kalinowski, M. Konecki, J. Kro likowski, M. Misiura, M. Olszewski, M. Walczak Laboratorio de Instrumentac~ao e F sica Experimental de Part culas, Lisboa, Joint Institute for Nuclear Research, Dubna, Russia I. Golutvin, A. Kamenev, V. Karjavin, V. Korenkov, A. Lanev, A. Malakhov, V. Matveev38;39, V.V. Mitsyn, P. Moisenz, V. Palichik, V. Perelygin, S. Shmatov, S. Shulha, N. Skatchkov, V. Smirnov, E. Tikhonenko, N. Voytishin, A. Zarubin Petersburg Nuclear Physics Institute, Gatchina (St. Petersburg), Russia V. Golovtsov, Y. Ivanov, V. Kim40, E. Kuznetsova, P. Levchenko, V. Murzin, V. Oreshkin, I. Smirnov, V. Sulimov, L. Uvarov, S. Vavilov, A. Vorobyev 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 Institute for Theoretical and Experimental Physics, Moscow, Russia V. Epshteyn, V. Gavrilov, N. Lychkovskaya, V. Popov, I. Pozdnyakov, G. Safronov, A. Spiridonov, E. Vlasov, A. Zhokin National Research Nuclear University 'Moscow Engineering Physics InstiM. Chadeeva, R. Chistov, M. Danilov, V. Rusinov, E. Tarkovskii P.N. Lebedev Physical Institute, Moscow, Russia V. Andreev, M. Azarkin39, I. Dremin39, M. Kirakosyan, A. Leonidov39, G. Mesyats, Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, A. Baskakov, A. Belyaev, E. Boos, M. Dubinin41, L. Dudko, A. Ershov, A. Gribushin, V. Klyukhin, O. Kodolova, I. Lokhtin, I. Miagkov, S. Obraztsov, S. Petrushanko, V. Savrin, State Research Center of Russian Federation, Institute for High Energy Physics, Protvino, Russia I. Azhgirey, I. Bayshev, S. Bitioukov, V. Kachanov, A. Kalinin, D. Konstantinov, V. Krychkine, V. Petrov, R. Ryutin, A. Sobol, L. Tourtchanovitch, S. Troshin, N. Tyurin, A. Uzunian, A. Volkov University of Belgrade, Faculty of Physics and Vinca Institute of Nuclear Sciences, Belgrade, Serbia P. Adzic42, P. Cirkovic, D. Devetak, J. Milosevic, V. Rekovic nologicas (CIEMAT), Madrid, Spain J. Alcaraz Maestre, E. Calvo, M. Cerrada, M. Chamizo Llatas, N. Colino, B. De La Cruz, A. Delgado Peris, A. Escalante Del Valle, C. Fernandez Bedoya, J.P. Fernandez Ramos, J. Flix, M.C. Fouz, P. Garcia-Abia, O. Gonzalez Lopez, S. Goy Lopez, J.M. Hernandez, M.I. Josa, E. Navarro De Martino, A. Perez-Calero Yzquierdo, J. Puerta Pelayo, A. Quintario Olmeda, I. Redondo, L. Romero, J. Santaolalla, M.S. Soares Universidad Autonoma de Madrid, Madrid, Spain C. Albajar, J.F. de Troconiz, M. Missiroli, D. Moran Universidad de Oviedo, Oviedo, Spain J. Cuevas, J. Fernandez Menendez, S. Folgueras, I. Gonzalez Caballero, E. Palencia Cortezon, J.M. Vizan Garcia Instituto de F sica de Cantabria (IFCA), CSIC-Universidad de Cantabria, I.J. Cabrillo, A. Calderon, J.R. Castin~eiras De Saa, P. De Castro Manzano, M. Fernandez, J. Garcia-Ferrero, G. Gomez, A. Lopez Virto, J. Marco, R. Marco, C. Martinez Rivero, F. Matorras, J. Piedra Gomez, T. Rodrigo, A.Y. Rodr guez-Marrero, A. Ruiz-Jimeno, L. Scodellaro, N. Trevisani, I. Vila, R. Vilar Cortabitarte CERN, European Organization for Nuclear Research, Geneva, Switzerland D. Abbaneo, E. Au ray, G. Auzinger, M. Bachtis, P. Baillon, A.H. Ball, D. Barney, A. Benaglia, J. Bendavid, L. Benhabib, G.M. Berruti, P. Bloch, A. Bocci, A. Bonato, C. Botta, H. Breuker, T. Camporesi, R. Castello, G. Cerminara, M. D'Alfonso, D. d'Enterria, A. Dabrowski, V. Daponte, A. David, M. De Gruttola, F. De Guio, A. De Roeck, S. De Visscher, E. Di Marco43, M. Dobson, M. Dordevic, B. Dorney, T. du Pree, D. Duggan, M. Dunser, N. Dupont, A. Elliott-Peisert, G. Franzoni, J. Fulcher, W. Funk, D. Gigi, K. Gill, D. Giordano, M. Girone, F. Glege, R. Guida, S. Gundacker, M. Gutho , J. Hammer, P. Harris, J. Hegeman, V. Innocente, P. Janot, H. Kirschenmann, M.J. Kortelainen, K. Kousouris, K. Krajczar, P. Lecoq, C. Lourenco, M.T. Lucchini, N. Magini, L. Malgeri, M. Mannelli, A. Martelli, L. Masetti, F. Meijers, S. Mersi, E. Meschi, F. Moortgat, S. Morovic, M. Mulders, M.V. Nemallapudi, H. Neugebauer, S. Orfanelli44, D. Piparo, A. Racz, T. Reis, G. Rolandi45, M. Rovere, M. Ruan, H. Sakulin, C. Schafer, B. Stieger, M. Stoye, Y. Takahashi, D. Treille, A. Triossi, A. Tsirou, G.I. Veres21, N. Wardle, H.K. Wohri, A. Zagozdzinska37, W.D. Zeuner Paul Scherrer Institut, Villigen, Switzerland W. Bertl, K. Deiters, W. Erdmann, R. Horisberger, Q. Ingram, H.C. Kaestli, D. Kotlinski, U. Langenegger, T. Rohe Institute for Particle Physics, ETH Zurich, Zurich, Switzerland F. Bachmair, L. Bani, L. Bianchini, B. Casal, G. Dissertori, M. Dittmar, M. Donega, P. Eller, C. Grab, C. Heidegger, D. Hits, J. Hoss, G. Kasieczka, P. Lecomtey, W. Lustermann, B. Mangano, M. Marionneau, P. Martinez Ruiz del Arbol, M. Masciovecchio, M.T. Meinhard, D. Meister, F. Micheli, P. Musella, F. Nessi-Tedaldi, F. Pandol , J. Pata, F. Pauss, L. Perrozzi, M. Quittnat, M. Rossini, M. Schonenberger, A. Starodumov47, M. Takahashi, V.R. Tavolaro, K. Theo latos, R. Wallny Universitat Zurich, Zurich, Switzerland T.K. Aarrestad, C. Amsler48, L. Caminada, M.F. Canelli, V. Chiochia, A. De Cosa, C. Galloni, A. Hinzmann, T. Hreus, B. Kilminster, C. Lange, J. Ngadiuba, D. Pinna, G. Rauco, P. Robmann, D. Salerno, Y. Yang National Central University, Chung-Li, Taiwan M. Cardaci, K.H. Chen, T.H. Doan, Sh. Jain, R. Khurana, M. Konyushikhin, C.M. Kuo, W. Lin, Y.J. Lu, A. Pozdnyakov, S.S. Yu National Taiwan University (NTU), Taipei, Taiwan Arun Kumar, P. Chang, Y.H. Chang, Y.W. Chang, Y. Chao, K.F. Chen, P.H. Chen, C. Dietz, F. Fiori, U. Grundler, W.-S. Hou, Y. Hsiung, Y.F. Liu, R.-S. Lu, M. Min~ano Moya, E. Petrakou, J.f. Tsai, Y.M. Tzeng Chulalongkorn University, Faculty of Science, Department of Physics, Bangkok, B. Asavapibhop, K. Kovitanggoon, G. Singh, N. Srimanobhas, N. Suwonjandee Cukurova University, Adana, Turkey A. Adiguzel, S. Cerci49, S. Damarseckin, Z.S. Demiroglu, C. Dozen, I. Dumanoglu, S. Girgis, G. Gokbulut, Y. Guler, E. Gurpinar, I. Hos, E.E. Kangal50, A. Kayis Topaksu, G. Onengut51, K. Ozdemir52, S. Ozturk53, B. Tali49, H. Topakli53, C. Zorbilmez Middle East Technical University, Physics Department, Ankara, Turkey B. Bilin, S. Bilmis, B. Isildak54, G. Karapinar55, M. Yalvac, M. Zeyrek Bogazici University, Istanbul, Turkey E. Gulmez, M. Kaya56, O. Kaya57, E.A. Yetkin58, T. Yetkin59 Istanbul Technical University, Istanbul, Turkey A. Cakir, K. Cankocak, S. Sen60, F.I. Vardarl Institute for Scintillation Materials of National Academy of Science of Ukraine, L. Levchuk, P. Sorokin National Scienti c Center, Kharkov Institute of Physics and Technology, University of Bristol, Bristol, United Kingdom R. Aggleton, F. Ball, L. Beck, J.J. Brooke, E. Clement, D. Cussans, H. Flacher, J. Goldstein, M. Grimes, G.P. Heath, H.F. Heath, J. Jacob, L. Kreczko, C. Lucas, Z. Meng, D.M. Newbold61, S. Paramesvaran, A. Poll, T. Sakuma, S. Seif El Nasr-storey, S. Senkin, D. Smith, V.J. Smith Rutherford Appleton Laboratory, Didcot, United Kingdom K.W. Bell, A. Belyaev62, C. Brew, R.M. Brown, L. Calligaris, D. Cieri, D.J.A. Cockerill, J.A. Coughlan, K. Harder, S. Harper, E. Olaiya, D. Petyt, C.H. Shepherd-Themistocleous, A. Thea, I.R. Tomalin, T. Williams, S.D. Worm Imperial College, London, United Kingdom M. Baber, R. Bainbridge, O. Buchmuller, A. Bundock, D. Burton, S. Casasso, M. Citron, D. Colling, L. Corpe, P. Dauncey, G. Davies, A. De Wit, M. Della Negra, P. Dunne, A. Elwood, D. Futyan, G. Hall, G. Iles, R. Lane, R. Lucas61, L. Lyons, A.-M. Magnan, S. Malik, J. Nash, A. Nikitenko47, J. Pela, M. Pesaresi, D.M. Raymond, A. Richards, A. Rose, C. Seez, A. Tapper, K. Uchida, M. Vazquez Acosta63, T. Virdee, S.C. Zenz Brunel University, Uxbridge, United Kingdom J.E. Cole, P.R. Hobson, A. Khan, P. Kyberd, D. Leslie, I.D. Reid, P. Symonds, L. TeodorBaylor University, Waco, U.S.A. A. Borzou, K. Call, J. Dittmann, K. Hatakeyama, H. Liu, N. Pastika The University of Alabama, Tuscaloosa, U.S.A. O. Charaf, S.I. Cooper, C. Henderson, P. Rumerio Boston University, Boston, U.S.A. D. Arcaro, A. Avetisyan, T. Bose, D. Gastler, D. Rankin, C. Richardson, J. Rohlf, L. Sulak, Brown University, Providence, U.S.A. J. Alimena, G. Benelli, E. Berry, D. Cutts, A. Ferapontov, A. Garabedian, J. Hakala, U. Heintz, O. Jesus, E. Laird, G. Landsberg, Z. Mao, M. Narain, S. Piperov, S. Sagir, University of California, Davis, Davis, U.S.A. R. Breedon, G. Breto, M. Calderon De La Barca Sanchez, S. Chauhan, M. Chertok, J. Conway, R. Conway, P.T. Cox, R. Erbacher, G. Funk, M. Gardner, W. Ko, R. Lander, M. Squires, D. Stolp, M. Tripathi, S. Wilbur, R. Yohay University of California, Los Angeles, U.S.A. R. Cousins, P. Everaerts, A. Florent, J. Hauser, M. Ignatenko, D. Saltzberg, E. Takasugi, V. Valuev, M. Weber University of California, Riverside, Riverside, U.S.A. K. Burt, R. Clare, J. Ellison, J.W. Gary, G. Hanson, J. Heilman, M. Ivova PANEVA, P. Jandir, E. Kennedy, F. Lacroix, O.R. Long, M. Malberti, M. Olmedo Negrete, A. Shrinivas, H. Wei, S. Wimpenny, B. R. Yates University of California, San Diego, La Jolla, U.S.A. J.G. Branson, G.B. Cerati, S. Cittolin, R.T. D'Agnolo, M. Derdzinski, A. Holzner, S. Simon, M. Tadel, A. Vartak, S. Wasserbaech64, C. Welke, F. Wurthwein, A. Yagil, G. Zevi Della Porta University of California, Santa Barbara, Santa Barbara, U.S.A. J. Bradmiller-Feld, C. Campagnari, A. Dishaw, V. Dutta, K. Flowers, M. Franco Sevilla, P. Ge ert, C. George, F. Golf, L. Gouskos, J. Gran, J. Incandela, N. Mccoll, S.D. Mullin, J. Richman, D. Stuart, I. Suarez, C. West, J. Yoo California Institute of Technology, Pasadena, U.S.A. D. Anderson, A. Apresyan, A. Bornheim, J. Bunn, Y. Chen, J. Duarte, A. Mott, H.B. Newman, C. Pena, M. Spiropulu, J.R. Vlimant, S. Xie, R.Y. Zhu Carnegie Mellon University, Pittsburgh, U.S.A. M.B. Andrews, V. Azzolini, A. Calamba, B. Carlson, T. Ferguson, M. Paulini, J. Russ, M. Sun, H. Vogel, I. Vorobiev University of Colorado Boulder, Boulder, U.S.A. J.P. Cumalat, W.T. Ford, A. Gaz, F. Jensen, A. Johnson, M. Krohn, T. Mulholland, U. Nauenberg, K. Stenson, S.R. Wagner Cornell University, Ithaca, U.S.A. J. Alexander, A. Chatterjee, J. Chaves, J. Chu, S. Dittmer, N. Eggert, N. Mirman, G. Nicolas Kaufman, J.R. Patterson, A. Rinkevicius, A. Ryd, L. Skinnari, L. So , W. Sun, S.M. Tan, W.D. Teo, J. Thom, J. Thompson, J. Tucker, Y. Weng, P. Wittich Fermi National Accelerator Laboratory, Batavia, U.S.A. S. Abdullin, M. Albrow, G. Apollinari, S. Banerjee, L.A.T. Bauerdick, A. Beretvas, J. Berryhill, P.C. Bhat, G. Bolla, K. Burkett, J.N. Butler, H.W.K. Cheung, F. Chlebana, S. Cihangir, V.D. Elvira, I. Fisk, J. Freeman, E. Gottschalk, L. Gray, D. Green, S. Grunendahl, O. Gutsche, J. Hanlon, D. Hare, R.M. Harris, S. Hasegawa, J. Hirschauer, Z. Hu, B. Jayatilaka, S. Jindariani, M. Johnson, U. Joshi, B. Klima, B. Kreis, S. Lammel, J. Lewis, J. Linacre, D. Lincoln, R. Lipton, T. Liu, R. Lopes De Sa, J. Lykken, K. Maeshima, J.M. Marra no, S. Maruyama, D. Mason, P. McBride, P. Merkel, S. Mrenna, Kennedy, A. Soha, W.J. Spalding, L. Spiegel, S. Stoynev, N. Strobbe, L. Taylor, S. Tkaczyk, N.V. Tran, L. Uplegger, E.W. Vaandering, C. Vernieri, M. Verzocchi, R. Vidal, M. Wang, H.A. Weber, A. Whitbeck University of Florida, Gainesville, U.S.A. D. Acosta, P. Avery, P. Bortignon, D. Bourilkov, A. Brinkerho , A. Carnes, M. Carver, D. Curry, S. Das, R.D. Field, I.K. Furic, J. Konigsberg, A. Korytov, K. Kotov, P. Ma, K. Matchev, H. Mei, P. Milenovic65, G. Mitselmakher, D. Rank, R. Rossin, L. Shchutska, M. Snowball, D. Sperka, N. Terentyev, L. Thomas, J. Wang, S. Wang, J. Yelton Florida International University, Miami, U.S.A. S. Hewamanage, S. Linn, P. Markowitz, G. Martinez, J.L. Rodriguez Florida State University, Tallahassee, U.S.A. A. Ackert, J.R. Adams, T. Adams, A. Askew, S. Bein, J. Bochenek, B. Diamond, J. Haas, S. Hagopian, V. Hagopian, K.F. Johnson, A. Khatiwada, H. Prosper, M. Weinberg Florida Institute of Technology, Melbourne, U.S.A. M.M. Baarmand, V. Bhopatkar, S. Colafranceschi66, M. Hohlmann, H. Kalakhety, D. Noonan, T. Roy, F. Yumiceva University of Illinois at Chicago (UIC), Chicago, U.S.A. M.R. Adams, L. Apanasevich, D. Berry, R.R. Betts, I. Bucinskaite, R. Cavanaugh, O. Evdokimov, L. Gauthier, C.E. Gerber, D.J. Hofman, P. Kurt, C. O'Brien, I.D. Sandoval Gonzalez, P. Turner, N. Varelas, Z. Wu, M. Zakaria, J. Zhang The University of Iowa, Iowa City, U.S.A. B. Bilki67, W. Clarida, K. Dilsiz, S. Durgut, R.P. Gandrajula, M. Haytmyradov, V. Khristenko, J.-P. Merlo, H. Mermerkaya68, A. Mestvirishvili, A. Moeller, J. Nachtman, H. Ogul, Y. Onel, F. Ozok69, A. Penzo, C. Snyder, E. Tiras, J. Wetzel, K. Yi Johns Hopkins University, Baltimore, U.S.A. I. Anderson, B.A. Barnett, B. Blumenfeld, A. Cocoros, N. Eminizer, D. Fehling, L. Feng, A.V. Gritsan, P. Maksimovic, M. Osherson, J. Roskes, U. Sarica, M. Swartz, M. Xiao, Y. Xin, C. You The University of Kansas, Lawrence, U.S.A. M. Murray, S. Sanders, R. Stringer, Q. Wang Kansas State University, Manhattan, U.S.A. P. Baringer, A. Bean, C. Bruner, R.P. Kenny III, D. Majumder, M. Malek, W. Mcbrayer, A. Ivanov, K. Kaadze, S. Khalil, M. Makouski, Y. Maravin, A. Mohammadi, L.K. Saini, N. Skhirtladze, S. Toda Lawrence Livermore National Laboratory, Livermore, U.S.A. D. Lange, F. Rebassoo, D. Wright C. Anelli, A. Baden, O. Baron, A. Belloni, B. Calvert, S.C. Eno, C. Ferraioli, J.A. Gomez, N.J. Hadley, S. Jabeen, R.G. Kellogg, T. Kolberg, J. Kunkle, Y. Lu, A.C. Mignerey, Y.H. Shin, A. Skuja, M.B. Tonjes, S.C. Tonwar Massachusetts Institute of Technology, Cambridge, U.S.A. A. Apyan, R. Barbieri, A. Baty, R. Bi, K. Bierwagen, S. Brandt, W. Busza, I.A. Cali, Z. Demiragli, L. Di Matteo, G. Gomez Ceballos, M. Goncharov, D. Gulhan, Y. Iiyama, G.M. Innocenti, M. Klute, D. Kovalskyi, Y.S. Lai, Y.-J. Lee, A. Levin, P.D. Luckey, A.C. Marini, C. Mcginn, C. Mironov, S. Narayanan, X. Niu, C. Paus, C. Roland, G. Roland, J. Salfeld-Nebgen, G.S.F. Stephans, K. Sumorok, K. Tatar, M. Varma, D. Velicanu, J. Veverka, J. Wang, T.W. Wang, B. Wyslouch, M. Yang, V. Zhukova University of Minnesota, Minneapolis, U.S.A. A.C. Benvenuti, B. Dahmes, A. Evans, A. Finkel, A. Gude, P. Hansen, S. Kalafut, S.C. Kao, K. Klapoetke, Y. Kubota, Z. Lesko, J. Mans, S. Nourbakhsh, N. Ruckstuhl, R. Rusack, N. Tambe, J. Turkewitz University of Mississippi, Oxford, U.S.A. J.G. Acosta, S. Oliveros University of Nebraska-Lincoln, Lincoln, U.S.A. E. Avdeeva, R. Bartek, K. Bloom, S. Bose, D.R. Claes, A. Dominguez, C. Fangmeier, R. Gonzalez Suarez, R. Kamalieddin, D. Knowlton, I. Kravchenko, F. Meier, J. Monroy, F. Ratnikov, J.E. Siado, G.R. Snow State University of New York at Bu alo, Bu alo, U.S.A. M. Alyari, J. Dolen, J. George, A. Godshalk, C. Harrington, I. Iashvili, J. Kaisen, A. Kharchilava, A. Kumar, S. Rappoccio, B. Roozbahani Northeastern University, Boston, U.S.A. G. Alverson, E. Barberis, D. Baumgartel, M. Chasco, A. Hortiangtham, A. Massironi, D.M. Morse, D. Nash, T. Orimoto, R. Teixeira De Lima, D. Trocino, R.-J. Wang, D. Wood, Northwestern University, Evanston, U.S.A. S. Bhattacharya, K.A. Hahn, A. Kubik, J.F. Low, N. Mucia, N. Odell, B. Pollack, M. Schmitt, K. Sung, M. Trovato, M. Velasco University of Notre Dame, Notre Dame, U.S.A. N. Dev, M. Hildreth, C. Jessop, D.J. Karmgard, N. Kellams, K. Lannon, N. Marinelli, F. Meng, C. Mueller, Y. Musienko38, M. Planer, A. Reinsvold, R. Ruchti, G. Smith, S. Taroni, N. Valls, M. Wayne, M. Wolf, A. Woodard The Ohio State University, Columbus, U.S.A. L. Antonelli, J. Brinson, B. Bylsma, L.S. Durkin, S. Flowers, A. Hart, C. Hill, R. Hughes, W. Ji, T.Y. Ling, B. Liu, W. Luo, D. Puigh, M. Rodenburg, B.L. Winer, H.W. Wulsin O. Driga, P. Elmer, J. Hardenbrook, P. Hebda, S.A. Koay, P. Lujan, D. Marlow, T. Medvedeva, M. Mooney, J. Olsen, C. Palmer, P. Piroue, D. Stickland, C. Tully, University of Puerto Rico, Mayaguez, U.S.A. Purdue University, West Lafayette, U.S.A. A. Barker, V.E. Barnes, D. Benedetti, D. Bortoletto, L. Gutay, M.K. Jha, M. Jones, A.W. Jung, K. Jung, A. Kumar, D.H. Miller, N. Neumeister, B.C. Radburn-Smith, X. Shi, I. Shipsey, D. Silvers, J. Sun, A. Svyatkovskiy, F. Wang, W. Xie, L. Xu Purdue University Calumet, Hammond, U.S.A. N. Parashar, J. Stupak Rice University, Houston, U.S.A. A. Adair, B. Akgun, Z. Chen, K.M. Ecklund, F.J.M. Geurts, M. Guilbaud, W. Li, B. Michlin, M. Northup, B.P. Padley, R. Redjimi, J. Roberts, J. Rorie, Z. Tu, J. Zabel University of Rochester, Rochester, U.S.A. B. Betchart, A. Bodek, P. de Barbaro, R. Demina, Y. Eshaq, T. Ferbel, M. Galanti, A. Garcia-Bellido, J. Han, O. Hindrichs, A. Khukhunaishvili, K.H. Lo, P. Tan, M. Verzetti Rutgers, The State University of New Jersey, Piscataway, U.S.A. J.P. Chou, E. Contreras-Campana, D. Ferencek, Y. Gershtein, E. Halkiadakis, M. Heindl, D. Hidas, E. Hughes, S. Kaplan, R. Kunnawalkam Elayavalli, A. Lath, K. Nash, H. Saka, S. Salur, S. Schnetzer, D. She eld, S. Somalwar, R. Stone, S. Thomas, P. Thomassen, University of Tennessee, Knoxville, U.S.A. M. Foerster, G. Riley, K. Rose, S. Spanier, K. Thapa Texas A&M University, College Station, U.S.A. O. Bouhali70, A. Castaneda Hernandez70, A. Celik, M. Dalchenko, M. De Mattia, A. Delgado, S. Dildick, R. Eusebi, J. Gilmore, T. Huang, T. Kamon71, V. Krutelyov, R. Mueller, I. Osipenkov, Y. Pakhotin, R. Patel, A. Perlo , A. Rose, A. Safonov, A. Tatarinov, Texas Tech University, Lubbock, U.S.A. N. Akchurin, C. Cowden, J. Damgov, C. Dragoiu, P.R. Dudero, J. Faulkner, S. Kunori, K. Lamichhane, S.W. Lee, T. Libeiro, S. Undleeb, I. Volobouev Vanderbilt University, Nashville, U.S.A. E. Appelt, A.G. Delannoy, S. Greene, A. Gurrola, R. Janjam, W. Johns, C. Maguire, Y. Mao, A. Melo, H. Ni, P. Sheldon, S. Tuo, J. Velkovska, Q. Xu M.W. Arenton, B. Cox, B. Francis, J. Goodell, R. Hirosky, A. Ledovskoy, H. Li, C. Lin, C. Neu, T. Sinthuprasith, X. Sun, Y. Wang, E. Wolfe, J. Wood, F. Xia Wayne State University, Detroit, U.S.A. C. Clarke, R. Harr, P.E. Karchin, C. Kottachchi Kankanamge Don, P. Lamichhane, University of Wisconsin - Madison, Madison, WI, U.S.A. D.A. Belknap, D. Carlsmith, M. Cepeda, S. Dasu, L. Dodd, S. Duric, B. Gomber, M. Grothe, M. Herndon, A. Herve, P. Klabbers, A. Lanaro, A. Levine, K. Long, R. Loveless, A. Mohapatra, I. Ojalvo, T. Perry, G.A. Pierro, G. Polese, T. Ruggles, T. Sarangi, A. Savin, A. Sharma, N. Smith, W.H. Smith, D. Taylor, P. Verwilligen, N. Woods 1: Also at Vienna University of Technology, Vienna, Austria 2: Also at CERN, European Organization for Nuclear Research, Geneva, Switzerland 3: Also at State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, 4: Also at Institut Pluridisciplinaire Hubert Curien, Universite de Strasbourg, Universite de Haute Alsace Mulhouse, CNRS/IN2P3, Strasbourg, France 5: Also at National Institute of Chemical Physics and Biophysics, Tallinn, Estonia 6: Also at Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 7: Also at Universidade Estadual de Campinas, Campinas, Brazil 8: Also at Centre National de la Recherche Scienti que (CNRS) - IN2P3, Paris, France 9: Also at Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France 10: Also at Joint Institute for Nuclear Research, Dubna, Russia 11: Also at Helwan University, Cairo, Egypt 12: Now at Zewail City of Science and Technology, Zewail, Egypt 13: Also at British University in Egypt, Cairo, Egypt 14: Now at Ain Shams University, Cairo, Egypt 15: Also at Universite de Haute Alsace, Mulhouse, France 16: Also at Tbilisi State University, Tbilisi, Georgia 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 Nuclear Research ATOMKI, Debrecen, Hungary 21: Also at Eotvos Lorand University, Budapest, Hungary 22: Also at University of Debrecen, Debrecen, Hungary 23: Also at Wigner Research Centre for Physics, Budapest, Hungary 24: Also at Indian Institute of Science Education and Research, Bhopal, India 25: Also at University of Visva-Bharati, Santiniketan, India 26: Now at King Abdulaziz University, Jeddah, Saudi Arabia 27: Also at University of Ruhuna, Matara, Sri Lanka 28: Also at Isfahan University of Technology, Isfahan, Iran 29: Also at University of Tehran, Department of Engineering Science, Tehran, Iran University, Tehran, Iran 31: Also at Universita degli Studi di Siena, Siena, Italy 32: Also at Purdue University, West Lafayette, U.S.A. 33: Now at Hanyang University, Seoul, Korea 34: Also at International Islamic University of Malaysia, Kuala Lumpur, Malaysia 35: Also at Malaysian Nuclear Agency, MOSTI, Kajang, Malaysia 36: Also at Consejo Nacional de Ciencia y Tecnolog a, Mexico city, Mexico 37: Also at Warsaw University of Technology, Institute of Electronic Systems, Warsaw, Poland 38: Also at Institute for Nuclear Research, Moscow, Russia at National Research Nuclear University 'Moscow Engineering Physics Insti tute' (MEPhI), Moscow, Russia 40: Also at St. Petersburg State Polytechnical University, St. Petersburg, Russia 41: Also at California Institute of Technology, Pasadena, U.S.A. 42: Also at Faculty of Physics, University of Belgrade, Belgrade, Serbia 43: Also at INFN Sezione di Roma; Universita di Roma, Roma, Italy 44: Also at National Technical University of Athens, Athens, Greece 45: Also at Scuola Normale e Sezione dell'INFN, Pisa, Italy 46: Also at National and Kapodistrian University of Athens, Athens, Greece 47: Also at Institute for Theoretical and Experimental Physics, Moscow, Russia 48: Also at Albert Einstein Center for Fundamental Physics, Bern, Switzerland 49: Also at Adiyaman University, Adiyaman, Turkey 50: Also at Mersin University, Mersin, Turkey 51: Also at Cag University, Mersin, Turkey 52: Also at Piri Reis University, Istanbul, Turkey 53: Also at Gaziosmanpasa University, Tokat, Turkey 54: Also at Ozyegin University, Istanbul, Turkey 55: Also at Izmir Institute of Technology, Izmir, Turkey 56: Also at Marmara University, Istanbul, Turkey 57: Also at Kafkas University, Kars, Turkey 58: Also at Istanbul Bilgi University, Istanbul, Turkey 59: Also at Yildiz Technical University, Istanbul, Turkey 60: Also at Hacettepe University, Ankara, Turkey 61: Also at Rutherford Appleton Laboratory, Didcot, United Kingdom 62: Also at School of Physics and Astronomy, University of Southampton, Southampton, United 63: Also at Instituto de Astrof sica de Canarias, La Laguna, Spain 64: Also at Utah Valley University, Orem, U.S.A. 65: Also at University of Belgrade, Faculty of Physics and Vinca Institute of Nuclear Sciences, 66: Also at Facolta Ingegneria, Universita di Roma, Roma, Italy 67: Also at Argonne National Laboratory, Argonne, U.S.A. 68: Also at Erzincan University, Erzincan, Turkey 69: Also at Mimar Sinan University, Istanbul, Istanbul, Turkey 70: Also at Texas A&M University at Qatar, Doha, Qatar 71: Also at Kyungpook National University, Daegu, Korea [1] D.L. 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V. Khachatryan, A. M. Sirunyan, A. Tumasyan, W. Adam. Measurement of electroweak production of a W boson and two forward jets in proton-proton collisions at \( \sqrt{s}=8 \) TeV, Journal of High Energy Physics, 2016, 147, DOI: 10.1007/JHEP11(2016)147