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Measurement of W±-boson and Z-boson production cross-sections in pp collisions at √ s = 2.76 TeV with the ATLAS detector

Aad, G.,Aguilar Saavedra, Juan Antonio,Atlas Collaboration

Abstract

We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS,MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation; JINR;MESTD, Serbia; MSSR, Slovakia; ARRS andMIZŠ, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, CRC and Compute Canada, Canada; COST, ERC, ERDF, Horizon 2020, and Marie Skłodowska-Curie Actions, European Union; Investissements d’ Avenir Labex and Idex, ANR, France; DFG and AvH Foundation, Germany; Herakleitos,Thales and Aristeia programmes co-financed by EUESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; CERCA Programme Generalitat de Catalunya, Spain; The Royal Society and Leverhulme Trust, United Kingdom.

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Eur. Phys. J. C (2019) 79:901 https://doi.org/10.1140/epjc/s10052-019-7399-7 Regular Article - Experimental Physics Measurement of W±-boson and Z-boson production cross-sections in pp collisions at √s=2.76 TeV with the ATLAS detector ATLAS Collaboration CERN, 1211 Geneva 23, Switzerland Received: 9 July 2019 / Accepted: 16 October 2019 © CERN for the benefit of the ATLAS collaboration 2019 Abstract The production cross-sections for W±and Z bosons are measured using ATLAS data corresponding to an integrated luminosity of 4.0 pb−1collected at a centre-ofmass energy √s=2.76 TeV. The decay channels W→ν and Z→ are used, where can be an electron or a muon. The cross-sections are presented for a fiducial region defined bythedetectoracceptanceandarealsoextrapolatedtothefull phase space for the total inclusive production cross-section. The combined (average) total inclusive cross-sections for the electron and muon channels are: σtot W+→ν =2312 ±26 (stat.) ±27 (syst.)±72 (lumi.)±30 (extr.)pb, σtot W−→ν =1399 ±21 (stat.)±17 (syst.) ±43 (lumi.)±21 (extr.)pb, σtot Z→ =323.4±9.8(stat.)±5.0(syst.) ±10.0(lumi.)±5.5(extr.)pb. Measured ratios and asymmetries constructed using these cross-sections are also presented. These observables benefit from full or partial cancellation of many systematic uncertainties that are correlated between the different measurements. Contents 1 Introduction ...................... 2 ATLAS detector .................... 3 Data and simulation samples .............. 4 Event selection ..................... 5 Background estimation ................. 6 Correction for detector effects ............. 7 Systematic uncertainties ................ 8 Results ......................... 9 Conclusion ....................... Appendix ......................... A Theoretical predictions ................. References ......................... e-mail: [email protected] 1 Introduction Theprocesses thatproduce Wand Zbosons1in pp collisions via Drell–Yan annihilation are two of the simplest at hadron colliderstodescribetheoretically.Atlowestorderinquantum chromodynamics (QCD), W-boson production proceeds via q¯q→Wand Z-boson production via q¯q→Z. Therefore, precision measurements of these production cross-sections yield important information about the parton distribution functions (PDFs) for quarks inside the proton. Factorisation theory allows PDFs to be treated separately from the perturbative QCD high-scale collision calculation as functions of the event energy scale, Q, and the momentum fraction of the parton, x, for each parton flavour. Usually PDFs are defined for a particular starting scale Q0and can be evolved to other scales via the DGLAP equations [1–7]. Measurements of onshell W/Z-boson production probe the PDFs in a range of Q2that lies close to m2 W/Z. The range of xthat is probed depends on the centre-of-mass energy, √s, of the protons and the rapidity coverage of the detector. Each measurement of these production cross-sections at a new value of √sthus provides information complementary to previous measurements. The combinations of initial partons participating in the production processes of W+,W−, and Zbosons are different, so each process provides complementary information about the products of different quark PDFs. This paper presents the first measurements of the production cross-sections for W+,W−and Zbosons in pp collisions at √s=2.76 TeV. The data were collected by the ATLAS detector at the Large Hadron Collider (LHC) [8]in 2013 and correspond to an integrated luminosity of 4.0 pb−1. To provide further sensitivity to PDFs, and to reduce the systematic uncertainty in the predictions, ratios of these crosssections and the charge asymmetry for W-boson production are also presented. The measurements are performed for leptonic (electron or muon) decays of the Wand Zbosons, in 1In this paper it is implicit that Zboson refers to Z/γ ∗bosons. 0123456789().: V,-vol 123 901 Page 2 of 29 Eur. Phys. J. C (2019) 79:901 a defined fiducial region, and also extrapolated to the total cross-section. Previous measurements of the W-boson and Z-boson production cross-sections in pp collisions at the LHC were performed by the ATLAS, CMS and LHCb Collaborations at √s=5.02 TeV [9], 7 TeV [10–14], 8 TeV [15–19] and 13 TeV [20–22], and by the PHENIX and STAR Collaborations at the RHIC at √s=500 GeV [23,24] and 510 GeV [25]. This is the first measurement at 2.76 TeV. Other measurements of these processes were performed in p¯pcollisionsat√s=1.8 TeVand1.96TeVbytheCDF [26– 30] and D0 [31] Collaborations, and at √s=546 GeV and 630 GeV by the UA1 [32] and UA2 [33] Collaborations. 2 ATLAS detector The ATLAS detector [34] at the LHC covers nearly the entire solid angle around the collision point. It consists of an inner tracking detector surrounded by a thin superconducting solenoid, electromagnetic (EM) and hadronic calorimeters, and a muon spectrometer (MS) incorporating three large superconducting toroid magnets. The inner-detector system (ID)isimmersedina2Taxialmagnetic field and provides charged-particle tracking in the pseudorapidity range |η|<2.5.2 The high-granularity silicon pixel detector covers the vertex region and typically provides three measurements per track. It is followed by the silicon microstrip tracker, which usually provides eight measurements from eight strip layers. These silicon detectors are complemented by the transition radiation tracker (TRT), which enables radially extended track reconstruction up to |η|=2.0. The TRT also provides electron identification information based on the fraction of hits (typically 30 in total) above a higher energy-deposit threshold associated with the presence of transition radiation. The calorimeter system covers the pseudorapidity range |η|<4.9. Within the region |η|<3.2, EM calorimetry is provided by barrel and endcap high-granularity lead/liquidargon (LAr) sampling calorimeters, with an additional thin LArpresamplercovering|η|<1.8 that is used to correct for energy loss in material upstream of the calorimeters. Hadronic calorimetry in this region is provided by the steel/scintillator-tile calorimeter, segmented into three barrel 2ATLAS uses a right-handed coordinate system with its origin at the nominal interaction point (IP) in the centre of the detector and the zaxis along the beam pipe. The x-axis points from the IP to the centre of the LHC ring, and the y-axis points upwards. Cylindrical coordinates (r,φ) are used in the transverse plane, φbeing the azimuthal angle around the z-axis. The pseudorapidity is defined in terms of the polar angle θas η=−ln tan(θ/2). Angular distance is measured in units of R≡(η)2+(φ)2. structures with |η|<1.7, and two copper/LAr hadronic endcap calorimeters. The solid angle coverage is completed with forward copper/LAr and tungsten/LAr calorimeter modules optimised for EM and hadronic measurements, respectively. The muon spectrometer comprises separate trigger and high-precision tracking chambers measuring the deflection of muons in a magnetic field generated by superconducting air-core toroids. The precision chamber system covers the region |η|<2.7 with three layers of monitored drift tubes, complemented by cathode strip chambers in the forward region, where the backgrounds are highest. The muon trigger system covers the range |η|<2.4 with resistive plate chambers in the barrel and thin gap chambers in the endcap regions. The ATLAS detector selected events using a three-level trigger system [35]. The first-level trigger is implemented in hardware and used a subset of detector information to reduce the event rate to a design value of at most 75 kHz. This was followed by two software-based triggers that together reduced the event rate to about 200 Hz. 3 Data and simulation samples The data used in this measurement were collected in February 2013 during a period when proton beams at the LHC were collided at a centre-of-mass energy of 2.76 TeV. During this running period a typical value of the instantaneous luminosity was 1 ×1032 cm−2s−1, significantly lower than in 7, 8 and 13 TeV data-taking conditions. The typical value of the mean number of collisions per proton bunch crossing (pile-up) μwas 0.3. Only data from stable collisions when the ATLAS detector was fully operational are used, yielding a data sample corresponding to an integrated luminosity of 4.0 pb−1. Samples of Monte Carlo (MC) simulated events are used to estimate the signals from W-boson and Z-boson production, and the backgrounds containing prompt leptons: electroweak-diboson production and top-quark pair (t¯ t)production. Background contributions arising from multijet events that do not contain prompt leptons are estimated directly from data, with simulated events used to cross-check these estimations in the muon channel. Production of single Wand Zbosons was simulated using PowhegBox v1 r1556 [36–39]. The parton showering was performed using Pythia 8.17 [40]. The PDF set used for the simulation was CT10 [41], and the parton shower parameter values were those of the AU2 tune [42]. Additional quantum electrodynamics (QED) emissions from electroweak (EW) vertices and charged leptons were simulated using Photos++ v3.52[43]. Additional samplesofsimulated W-boson events generated with Sherpa 2.1 [44] are used to estimate uncertainties arising from the choice of event generator 123 Eur. Phys. J. C (2019) 79:901 Page 3 of 29 901 model. In these Sherpa samples, simulation of W-boson production in association with up to two additional partons was performed at next-to-leading order (NLO) in QCD while production of Wbosons in association with three or four additional partons was performed at leading order (LO) in QCD. The sample cross-sections were normalised to nextto-next-to-leading-order (NNLO) QCD predictions for the total cross-sections described in Sect. 8. PowhegBox v1 r2330 was used to generate t¯ tsamples [45]. These samples had parton showering performed using Pythia 6.428 [46] with parameters corresponding to the Perugia2011C tune [47]. The CT10 PDF set was used. Additional QED final-state radiative corrections were applied using Photos++ v3.52 and τ-lepton decays were performed using Tauola v25feb06 [48]. Single production of top quarks is a negligible contribution to this analysis, compared with t¯ tproduction, so no such samples were generated. Production of two massive electroweak bosons (WW,ZZ,WZ) was simulated using Herwig 6.5 [49], with multiparton interactions modelled using Jimmy 4.13 [50]. The CTEQ6L1 PDF set [51] and AUET2 tune [52]were used for these samples. Multijet production containing heavy-flavour final states, arising from the production of b¯ bor c¯cpairs, were simulated using Pythia 8.186. The CTEQ6L1 PDF set and AU2 tune were used. Events were required to contain an electron or muon with transverse momentum pT>10 GeV and |η|<2.8. The detector response to generated events was simulated by passing the events through a model of the ATLAS detector [53] based on Geant4[54]. Additional minimum-bias events generated using Pythia 8.17 and the A2 set of tuned parameters, were overlaid in such a way that the distribution of μfor simulated events reproduced that in the real data. The resulting events were then passed through the same reconstruction software as the real data. The simulated samples used for the baseline analysis are summarised in Table 1, which shows the generator used for each process together with the order in QCD at which they were generated. 4 Event selection This section describes the selection of events consistent with theproductionof Wbosons or Zbosons.The W-bosonselection requires events to contain a single charged lepton and large missing transverse momentum. The Z-boson selection requires events to contain two charged leptons with opposite charge and the same flavour. Events were selected by triggers that required at least one charged electron (muon) with pT>15 GeV (10 GeV). These thresholds yield an event sample with a uniform efficiency as a function of the ETand pTrequirements used subsequently to select the final event sample. The hard-scatter vertex, defined as the vertex with highest sum of squared track transverse momenta (for tracks with pT>400 MeV), is required to have at least three associated tracks. Electrons are reconstructed from clusters of energy in the EM calorimeter that are matched to a track reconstructed in the ID. The electron is required to have pT>20 GeV and |η|<2.4 (excluding the transition region between barrel and endcap calorimeters of 1.37 <|η|<1.52). Each electron must satisfy a set of identification criteria designed to suppress misidentified photons or jets. Electrons are required to satisfy the medium selection, following the definition provided in Ref. [55]. This includes requirements on the shower shape in the EM calorimeter, the leakage of the shower into the hadronic calorimeter, the number of hits measured along the track in the ID, and the quality of the cluster-track matching. A Gaussian sum filter [56] algorithm is used to re-fit the tracks and improve the estimated electron track parameters. To suppress background from misidentified objects such as jets, the electron is required to be isolated using calorimeterbased criteria. The sum of the transverse energies of clusters lying within a cone of size R=0.2 around the centroid of the electron cluster and excluding the core3must be less than 10% of the electron pT. Muon candidates are reconstructed by combining tracks reconstructed in the ID with tracks reconstructed in the MS [57]. They are required to have pT>20 GeV and |η|<2.4. The muon candidates are also required to be isolated, by requiring that the scalar sum of the pTof additional tracks within a cone of size R=0.4 around the muon is less than 80% of the muon pT. The missing transverse momentum vector [58](Emiss T) is calculated as the negative vector sum of the transverse momenta of electrons and muons, and of the transverse momentum of the recoil. The magnitude of this vector is denoted by Emiss T. The recoil vector is obtained by summing the transverse momenta of all clusters of energy measured in the calorimeter, excluding those within R=0.2of the lepton candidate. The momentum vector of each cluster is determined by the magnitude and coordinates of the energy deposits; the cluster is assumed to be massless. Cluster energies are initially measured assuming that the energy deposition occurs only through EM interactions, and are then corrected for the different calorimeter responses to hadrons and electromagnetically interacting particles, for losses due to dead material, and for energy that is not captured by the clustering process [59]. The definition of the recoil does not make use of reconstructed jets, to avoid threshold effects. The procedure used to calibrate the recoil closely follows 3The core of the shower is the contribution within η×φ =0.125× 0.175 around the cluster barycentre. 123 901 Page 4 of 29 Eur. Phys. J. C (2019) 79:901 Table 1 Summary of the baseline simulated samples used Process Generator Generator QCD precision Signal samples W→ν PowhegBox +Pythia 8NLO Z→+−PowhegBox +Pythia 8NLO Background samples W→τν PowhegBox +Pythia 8NLO Z→τ+τ−PowhegBox +Pythia 8NLO t¯ tPowhegBox +Pythia 6NLO WW Herwig LO ZZ Herwig LO WZ Herwig LO b¯ bPythia 8LO c¯cPythia 8LO that used in the recent ATLAS measurement of the W-boson mass [60], first correcting the modelling of the overall recoil in simulation and then applying corrections for residual differences in the recoil response and resolution that are derived from Z-boson data and transferred to the W-boson sample. The W-boson selection requires events to contain exactly one lepton (electron or muon) candidate and have Emiss T>25 GeV. The lepton must match a lepton candidate that met the trigger criteria. The transverse mass, mT,ofthe W-boson candidate in the event is calculated using the lepton candidate and Emiss Taccording to mT=2p TEmiss T(1−cos(φ−φEmiss T)). The transverse mass in W-boson production events is expected to exhibit a Jacobian peak around the W-boson mass. Thus, requiring that mT>40 GeV suppresses background processes. After these requirements there are 3914 events in the W→e+ν channel, 2209 events in the W→e−¯νchannel, 4365 events in the W→μ+νchannel, and 2460 events in the W→μ−¯ν channel. The Z-boson selection requires events to contain exactly two lepton candidates with the same flavour and opposite charge. Atleastoneleptonmust matcha leptoncandidatethat metthetriggercriteria.Backgroundprocessesaresuppressed by requiring that the invariant mass of the lepton pair satisfies 66 <m <116 GeV. After these requirements there are 430 events in the Z→e+e−channel, and 646 events in the Z→μ+μ−channel. 5 Background estimation The background processes that contribute to the sample of events passing the W-boson and Z-boson selections can be separated into two categories: those estimated from MC simulation and theoretical calculations, and those estimated directly from data. The main backgrounds that contribute to the event sample passing the W-boson selection are processes with a τ-lepton decaying into an electron or muon plus neutrinos, leptonic Z-boson decays where only one lepton is reconstructed, and multijet processes. The main background contribution to the event sample passing the Z-boson selection is production of two massive electroweak bosons. The backgrounds arising from W→τν,Z→+−, diboson production, and t¯ tproduction are estimated from the simulated samples described in Sect. 3. Predictions of the backgrounds to the W-boson and Z-boson production measurements arising from multijet production suffer from large theoretical uncertainties, and therefore the contribution to this background in the W-boson measurement is estimated from data. This is achieved by constructing a shape template for the background using a discriminating variable in a control region and then performing a template fit to the same distribution in the signal region to extract the background contribution. The choice of template variable is motivated by the difference between signal and background and by the available number of events. Previous ATLAS measurements at 7 TeV [10] and 13 TeV [21] found that multijet production makes a background contribution of less than 0.1% for Z-boson measurements; this is therefore neglected. Electron candidates in multijet background events are typically misidentified candidates produced when jets mimic the signature of an electron, for example when a neutral pion and a charged pion overlap in the detector. Additional candidates can arise from ’non-prompt’ electrons produced when a photon converts, and in decays of heavy-flavour hadrons. To construct a control region for the multijet template, a selection is used that differs from the W-boson selection described in Sect. 4in only two respects: the medium electron identification criteria are inverted (while keeping the looser identification criteria) and the Emiss Trequirement is removed. By construction, this control region is statistically independent of the W-boson signal region. A template for the shape of the 123 Eur. Phys. J. C (2019) 79:901 Page 5 of 29 901 multijet background in the Emiss Tdistribution is then obtained from that distribution in the control region after subtraction of expected contributions from the signal and other backgrounds determined using MC samples. The normalisation of the multijet background template in the signal region is extracted by performing a χ2fit of the Emiss Tdistribution (applying all signal criteria except the requirement on Emiss T) to a sum of the templates for the multijet background, the signal, and all other backgrounds. The normalisation of the signalisallowedtovaryfreelyinthefitasisthemultijetbackground; however, the other backgrounds are only allowed to vary from their expected values by up to 5%, corresponding to the largest level of variation in predicted electroweakboson production cross-sections obtained from varying the choice of PDF. The normalisation from this fit can then be used together with the inverted selection to construct multijet background distributions in any other variable that is not correlated with the electron identification criteria. Muon candidates in multijet background events are typically‘non-prompt’muonsproducedinthedecaysofhadrons. The multijet background contribution to the W→μν selection is estimated by using the same method as described for the W→eνselection. In this case the control region is defined by inverting the isolation requirement and removing the requirement on mT. The distribution used for the fits is mT. The overall number of multijet background events is estimated from a fit to the total W-boson sample. Comparisons between the fitted distributions and data for W→eνand W→μν are shown in Fig. 1. Fits to the separate W+-boson and W−-boson samples are used in the evaluation of the systematic uncertainties, as described in Sect. 7. The final estimatedmultijetcontributionsare30±11eventsfor W→e+ν and W→e−νand 2.5±1.9 events for W+→μ+νand W−→μ−ν. The relative contribution of the multijet events (1%) is lower than in 13 TeV (4%) and 7 TeV (3%) data. This is in agreement with expectations for this lower pile-up running, where the resolution in Emiss Tis improved compared to the higher pile-up running. 6 Correction for detector effects Themeasurementsinthispaperareperformedwithinspecific fiducial regions and extrapolated to the total W-boson or Zboson phase space. The fiducial regions are defined by the kinematic and geometric selection criteria given in Table 2; in simulations these are applied at the generator level before the emission of QED final-state radiation from the decay lepton(s) (QED Born level). The fiducial W-boson/Z-boson production cross-section is obtained from the number of observed events meeting the selection criteria after background contributions are subtracted, Nsig W,Z, using the following formula: σfid W,Z→ν, =Nsig W,Z CW,Z·Lint , where Lint is the total integrated luminosity of the data samples used for the analysis. The factor CW,Zis the ratio of the number of generated events that satisfy the final selection criteria after event reconstruction to the number of generated events within the fiducial region. It includes the efficiency for triggering, reconstruction and identification of W,Z→ν, +−events falling within the acceptance. The different components of the efficiency are calculated using a mixture of MC simulation and measurements from data. Thetotal W-bosonand Z-bosonproductioncross-sections are obtained using the following formula: σtot W,Z→ν, ≡σtot ×B(W,Z→ν, ) =Nsig W,Z AW,Z·CW,Z·Lint . The factor B(W,Z→ν, ) is the per-lepton branching fraction of the vector boson. The factor AW,Zis the acceptance for W/Z-boson events being studied. It is defined as the fraction of generated events that satisfy the fiducial requirements. This acceptance is determined using MC signal samples, corrected to the generator QED Born level, and is used to extrapolate the measured cross-section in the fiducial region to thefull phase space. The central values of AW,Z are around 0.6 for these measurements, compared with 0.5 at √s=7 TeV and 0.4 at √s=13 TeV, so the fiducial region is closer to the full phase space in this measurement than for those at higher centre-of-mass energies. This is due to a combination of higher pTthresholds for leptons in other measurements,and more-centralproduction ofvectorbosons at lower √s. The values of CWare approximately 0.67 for the W→eνchannels and 0.75 for the W→μν channels. The values of CZare 0.55 for the Z→e+e−channel and 0.79 for Z→μ+μ−.TheCW,Zvalues are a little higher than for previous measurements at √s=7 TeV and √s=13 TeV. 7 Systematic uncertainties The systematic uncertainty in the electron reconstruction and identification efficiency is estimated using the tag-andprobe method in 8 TeV data [55,61] and extrapolated to the 2.76TeVdataset.Theextrapolationprocedureresultsinabsolute increases of ±2%, due to uncertainties in the effect of the differing pile-up conditions in 2.76 TeV data relative to the 8 TeV data, as well as a different setting of the noise filtering in the LAr calorimeter of the 2.76 TeV data relative to the 8 TeV data. These uncertainties were estimated using a comparison between 7 TeV and 8 TeV data and MC samples, 123 901 Page 6 of 29 Eur. Phys. J. C (2019) 79:901 Fig. 1 Distributions used to estimate the multijet background contribution in (a) the W→eνchannel, and (b) the W→μν channel. The data is compared to the fit result [GeV] miss T E 10 20 30 40 50 60 70 80 90 100 Events / 2.5 GeV -2 10 -1 10 1 10 2 10 3 10 4 10 Data Fit result -1 2.76 TeV, 4.0 pb νe→ W Multijet EW contribution ATLAS Preliminary Preliminary (a) [GeV] W T 020 40 60 80 100 120 Events / 2.5 GeV -2 10 -1 10 1 10 2 10 3 10 4 10 Data Fit result -1 2.76 TeV, 4.0 pb νμ→ W m Multijet EW contribution ATLAS Preliminary Preliminary (b) after having established that the central values of the efficiencies are the same for different centre-of-mass energies when the same LAr filter settings are used. A similar methodology had been used for internal estimates of the electron efficiency performance at 13 TeV before the start of Run-2 data taking and was found to give a good prediction of the efficiencies in data as well as a conservative estimate of the uncertainties. Transverse-momentum-dependent isolation corrections, calculated with the tag-and-probe method in 2.76 TeV data, are very close to 1, so the systematic uncertainty in the electron isolation requirement is set to the size of the correction itself, that is ±1% for low pTand ±0.3% for higher pT.The electron energy scale has associated statistical uncertainties and systematic uncertainties arising from a possible bias in the calibration method, the choice of generator, the presampler energy scale, and imperfect knowledge of the material in front of the EM calorimeter [62]. The total energy-scale uncertainty is calculated as the sum in quadrature of these components. Systematicuncertaintiesassociatedwiththemuonmomentum can be divided into three major independent categories: momentumresolutionoftheMStrack,momentumresolution 123 Eur. Phys. J. C (2019) 79:901 Page 7 of 29 901 Table 2 Summary of the selection criteria that define the measured fiducial regions W-boson fiducial region Z-boson fiducial region p T>20 GeV p+,− T>20 GeV |η|<2.4|η+,−|<2.4 Emiss T>25 GeV 66 <m+−<116 GeV mT>40 GeV oftheIDtrack,andanoverallscaleuncertainty[57].Thetotal momentum scale/resolution uncertainty is the sum in quadrature of these components. An η-independent uncertainty of approximately ±1.1% in the muon trigger efficiency, determined using the tag-and-probe method [57] in 2.76 TeV data, is taken into account. Furthermore, a pTand ηdependent uncertainty in the identification and reconstruction efficiencies of approximately ±0.3%, derived using the tag-andprobe method on 8TeV data is applied. The uncertainty in the pT-dependent isolation correction in the muon channel, calculated with the tag-and-probe method in 2.76 TeV data, is about ±0.6% for low pTand ±0.5% for higher pT. The luminosity uncertainty for the 2.76 TeV data is ±3.1%. This is determined, following the same methodology as was used for the 7 TeV data recorded in 2011 [63], from a calibration of the luminosity scale derived from beamseparation scans performed during the 2.76 TeV operation of the LHC in 2013. Systematic uncertainties in the Emiss Tarising from the smearing and bias corrections applied to obtain satisfactory modelling of the recoil [58] affect the CWfactors in the W→ν measurement, and are taken into account. Uncertainties arising from the choice of PDF set are evaluated using the error sets of the initial CT10 PDF set (at 90% confidence level (CL)) and from comparison with the results obtained using the central PDF sets from ABKM09 [64], NNPDF23 [65], and ATLAS-epWZ12 [66]. The effect of this uncertainty on AW+(AW−) is estimated to be ±1.0% (1.2%), and the effect on AZis estimated to be ±1.4%. The effect on CW,Zis between ±0.05% and ±0.4% depending on the channel. A summary of the systematic uncertainties in the CW,Z factors is shown in Table 3. The muon trigger, and electron reconstruction and identification uncertainties are dominant. Uncertainties arising from the choice of event generator andpartonshowermodelsareestimatedbycomparingresults obtained when using Sherpa 2.1 signal samples instead of the (nominal) PowhegBox +Pythia 8. The effect of this uncertainty on AW,Zis estimated to be ±0.9%. The systematic uncertainty in the multijet background estimation can be divided into several components: the normalisation uncertainty from the χ2fit, the uncertainty in the modelling of electroweak processes by simulated samples in the fitted region, uncertainty from fit bias due to binning choice, and uncertainty from template shape. The scale normalisation uncertainty from the χ2fit is approximately ±13%for the W→eνchannel.Thisuncertaintyisneglected in the W→μν channel where the template bias is dominant. The mismodelling uncertainty is estimated by comparison of the fit results for +and −, and for the combined ±candidates. The central value used is 0.5N±with the uncertainties N+−0.5N±and N−−0.5N±, where N+is the fitted number of +background events, N−is the fitted number of − and N±is the fitted total number of ±background events. In the W→eνchannel this leads to an uncertainty of ±28% in the multijet background. In the W→μν channel the multijet template normalisation is derived from the fit in the small-mTregion, where electroweak contributions are negligible and there are many data events, and this source of systematic error is found to be negligible. The fit-bias uncertainty arising from the choice of bin width is estimated by repeating the fit with different binnings. This component is negligible in the W→μν case and ±15% in the W→eν case. The uncertainty due to a potential bias from template choice is estimated by employing different template selections. For the W→eνchannel, different inverted-isolation criteria were investigated. The overall differences are considered negligible. For the W→μν channel, template variTable 3 Relative systematic uncertainties (%) in the correction factors CW,Zin different channels δC/C(%) W+→e+νW−→e−νZ→e+e−W+→μ+νW−→μ−νZ→μ+μ− Lepton trigger 0.14 0.13 <0.01 1.07 1.07 0.03 Lepton reconstr. and ident. 2.31 2.33 4.55 0.30 0.32 0.62 Lepton isolation 0.71 0.71 1.41 0.51 0.51 1.01 Lepton scale and resolution 0.44 0.43 0.34 0.05 0.05 0.04 Recoil scale and resolution 0.25 0.20 – 0.22 0.22 – PDF 0.22 0.29 0.11 0.11 0.20 0.06 MC statistical uncertainty 0.24 0.31 0.30 0.24 0.34 0.43 Total 2.5 2.5 4.8 1.3 1.3 1.3 123 901 Page 8 of 29 Eur. Phys. J. C (2019) 79:901 Table 4 The correlation model for the grouped systematic uncertainties for the measurements of W-boson and Z-boson production. The entries in different rows are uncorrelated with each other. Entries in a row with the same letter are fully correlated. Entries in a row with a starred letter are mostly correlated with theentrieswiththesameletter (most of the individual sources of uncertainties within a group are taken as correlated). Entries with different letters in a row are either fully or mostly uncorrelated with each other Source Muon channel Electron channel ZW +W−ZW +W− Muon trigger A A A – – – Muon reconstruction/ID A A A – – – Muon energy scale/resolution A A A – – – Muon isolation A A A – – – Electron trigger – – – A∗A∗A∗ Electron reconstruction/ID – – – A A A Electron energy scale/resolution – – – A A A Electron isolation – – – A A A Recoil related – A A – A A EW background A B B A B B Top-quark background A A A A A A Multijet background – A A – A A PDF A A A A A A Table 5 The numbers of observed candidate events with the estimated numbers of selected electroweak (EW) plus top, and multijet background events, together with their total uncertainty. In addition, the number of background-subtracted signal events is shown with the first uncertainty given being statistical and the second uncertainty being the total systematic uncertainty, obtained by summing in quadrature the EW+top and multijet uncertainties. Uncertainties shown as ±0.0have a magnitude less than 0.05. Measurement Observed Background Background Background-subtracted Channel candidates (EW + top) (multijet) data Nsig W W+→e+ν3914 108 ±630±11 3776 ±63 ±12 W−→e−¯ν2209 74.2±3.330±11 2105 ±47 ±12 W+→μ+ν4365 152 ±72.5±1.9 4210 ±66 ±7 W−→μ−¯ν2460 108 ±42.5±1.9 2350 ±50 ±5 Z→e+e−430 1.3±0.0 – 428.7±20.7±0.0 Z→μ+μ−646 1.6±0.1 – 644.4±25.4±0.1 ations were estimated from fits that use b¯ b+c¯cMC samples as the multijet templates, leading to an uncertainty of ±75%; this is the largest uncertainty in the multijet background in the W→μν channel. Combining results and building ratios or asymmetries of results require a model for the correlations of particular systematic uncertainties between different measurements. Correlations arise mostly due to the fact that electrons, muons, and the recoil are reconstructed identically in the different measurements. Further correlations occur due to similarities in the analysis methodology such as the methods of signal and background estimation. The systematic uncertainties from the electroweak background estimations are treated as uncorrelated between the W-boson and Z-boson measurements, and fully correlated among different flavour decay channels of the Wand Z boson. The top-quark background is treated as fully correlated across all W-boson and Z-boson decay channels. The multijet background and recoil-related systematic uncertainties are also treated as fully correlated between all four Wboson decay channels despite there being an expected uncorrelated component, since the statistical uncertainty is dominant in this case. The systematic uncertainties due to the choice of PDF are treated as fully correlated between all W-boson and Z-boson channels. The uncertainties in electron and muon selection, reconstruction and efficiency are treated as fully correlated between all W-boson and Z-boson channels. A simplified form of the correlation model with the grouped list of the sources of systematic errors is presented in Table 4. 8 Results The numbers of events passing the event selections described inSect. 4arepresented inTable 5,togetherwith theestimated background contributions described in Sect. 5. The distribution of mTfor W→ν candidate events is shown in Fig. 2, compared with the expected distribution for signal plus back123 Eur. Phys. J. C (2019) 79:901 Page 9 of 29 901 [GeV] T m 40 50 60 70 80 90 100 110 120 Data / Pred. 0.8 1 1.2 Entries/ 2.5 GeV 100 200 300 400 500 600 Data νe→W ντ→W Others -1 = 2.76 TeV, 4.0 pbs ν e →W ATLAS (a) [GeV] T m 40 50 60 70 80 90 100 110 120 Data / Pred. 0.8 1 1.2 Entries/ 2.5 GeV 100 200 300 400 500 600 700 Data νμ→ W ντ→W Others -1 = 2.76 TeV, 4.0 pbs νμ →W ATLAS (b) Fig. 2 The distribution of mTfor W→ν candidate events. The expected signal, normalised to the NNLO theoretical predictions, is shown as an unfilled histogram on top of the stacked background predictions. Backgrounds that do not originate from Wproduction are grouped together into the ‘Others’ histogram. Systematic uncertainties for the signal and background distributions are combined in the shaded band. Systematic uncertainties from the measurement of the integrated luminosity are not included. The lower panel shows the ratio of the data to the prediction grounds, where the signal is normalised to the NNLO QCD prediction. Similarly, Fig. 3shows the distribution of m for Z→+−candidate events compared with the expectations for signal. In this case, the background contributions are not shown, because they would not be visible in the figure if included. The measured fiducial (σfid) and total (σtot) cross-sections in the electron and muon channels are presented separately in Table 6. For these measurements, the dominant contribution to the systematic uncertainty arises from the luminosity determination. The results obtained from the electron and muon final states are consistent. The fiducial measurements from electron and muon final states are combined following the procedure described in Ref. [67] and the result is extrapolated to the full phase space to obtain the total cross-section. The total W-boson cross-section is calculated by summing the separate W+and W−cross-sections. The results are shown in Table 7. Theoretical predictions of the fiducial and total crosssections are computed for comparison with the measured cross-sections using Dynnlo 1.5 [68] which provides calculations at NNLO in the strong-coupling constant, O(α2 s), including the boson decays into leptons (+ν, −¯νor +−) with full spin correlations, finite width and interference effects. These calculations allow kinematic requirements to be implemented for direct comparison with experimental data. The procedure used follows that used for the previous ATLAS measurement at √s=7TeV[10]. CorrectionsforNLO EWeffectsare calculatedwith Fewz 3.1 [69–72], for the Zbosons and with Sanc [73,74]for the Wbosons. The calculation was done in the GμEW scheme [75]. The following input parameters are taken from the Particle Data Group’s Review of Particle Properties 2014 edition [76]: the Fermi constant, the masses and widths of W and Zbosons as well as the elements of the CKM matrix. The cross-sections for vector bosons decaying into these leptonic final states are calculated such that they match the definition of the measured cross-sections in the data. Thus, from complete NLO EW corrections, the following components are included: virtual QED and weak corrections, real initialstate radiation (ISR), and interference between ISR and real final-stateradiation (FSR) [77].Thecalculated effect of these correctionsonthecross-sectionsis(−0.26±0.02)%forσfid W+, (−0.21 ±0.03)%forσfid W−, and (−0.25 ±0.12)%forσfid Z. Dynnlo isusedforthecentral valuesofthepredictionswhile Fewz is used for the PDF variations and all other systematic variations such as QCD scale and αs. The predictions are calculated using the CT14nnlo [78], NNPDF3.1 [79], MMHT14nnlo68cl [80], ABMP16 [81], HERAPDF2.0 [82], 123 901 Page 16 of 29 Eur. Phys. J. C (2019) 79:901 70. R. Gavin, Y. Li, F. Petriello, S. Quackenbush, FEWZ 2.0: a code for hadronic Z production at next-to-next-to-leading order. Comput. 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C (2019) 79:901 1Department of Physics, University of Adelaide, Adelaide, Australia 2Physics Department, SUNY Albany, Albany, NY, USA 3Department of Physics, University of Alberta, Edmonton, AB, Canada 4(a)Department of Physics, Ankara University, Ankara, Turkey; (b)Istanbul Aydin University, Istanbul, Turkey; (c)Division of Physics, TOBB University of Economics and Technology, Ankara, Turkey 5LAPP, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France 6High Energy Physics Division, Argonne National Laboratory, Argonne, IL, USA 7Department of Physics, University of Arizona, Tucson, AZ, USA 8Department of Physics, University of Texas at Arlington, Arlington, TX, USA 9Physics Department, National and Kapodistrian University of Athens, Athens, Greece 10 Physics Department, National Technical University of Athens, Zografou, Greece 11 Department of Physics, University of Texas at Austin, Austin, TX, USA 12 (a)Bahcesehir University, Faculty of Engineering and Natural Sciences, Istanbul, Turkey; (b)Istanbul Bilgi University, Faculty of Engineering and Natural Sciences, Istanbul, Turkey; (c)Department of Physics, Bogazici University, Istanbul, Turkey; (d)Department of Physics Engineering, Gaziantep University, Gaziantep, Turkey 13 Institute of Physics, Azerbaijan Academy of Sciences, Baku, Azerbaijan 14 Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain 15 (a)Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China; (b)Physics Department, Tsinghua University, Beijing, China; (c)Department of Physics, Nanjing University, Nanjing, China; (d)University of Chinese Academy of Science (UCAS), Beijing, China 16 Institute of Physics, University of Belgrade, Belgrade, Serbia 17 Department for Physics and Technology, University of Bergen, Bergen, Norway 18 Physics Division, Lawrence Berkeley National Laboratory and University of California, Berkeley, CA, USA 19 Institut für Physik, Humboldt Universität zu Berlin, Berlin, Germany 20 Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics, University of Bern, Bern, Switzerland 21 School of Physics and Astronomy, University of Birmingham, Birmingham, UK 22 Facultad de Ciencias y Centro de Investigaciónes, Universidad Antonio Nariño, Bogota, Colombia 23 (a)INFN Bologna and Universita’ di Bologna, Dipartimento di Fisica, Bologna, Italy; (b)INFN Sezione di Bologna, Bologna, Italy 24 Physikalisches Institut, Universität Bonn, Bonn, Germany 25 Department of Physics, Boston University, Boston, MA, USA 26 Department of Physics, Brandeis University, Waltham, MA, USA 27 (a)Transilvania University of Brasov, Brasov, Romania; (b)Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania; (c)Department of Physics, Alexandru Ioan Cuza University of Iasi, Iasi, Romania; (d)National Institute for Research and Development of Isotopic and Molecular Technologies, Physics Department, Cluj-Napoca, Romania; (e)University Politehnica Bucharest, Bucharest, Romania; (f)West University in Timisoara, Timisoara, Romania 28 (a)Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia; (b)Department of Subnuclear Physics, Institute of Experimental Physics of the Slovak Academy of Sciences, Kosice, Slovak Republic 29 Physics Department, Brookhaven National Laboratory, Upton, NY, USA 30 Departamento de Física, Universidad de Buenos Aires, Buenos Aires, Argentina 31 California State University, Long Beach, CA, USA 32 Cavendish Laboratory, University of Cambridge, Cambridge, UK 33 (a)Department of Physics, University of Cape Town, Cape Town, South Africa; (b)Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa; (c)School of Physics, University of the Witwatersrand, Johannesburg, South Africa 34 Department of Physics, Carleton University, Ottawa, ON, Canada 35 (a)Faculté des Sciences Ain Chock, Réseau Universitaire de Physique des Hautes Energies-Université Hassan II, Casablanca, Morocco; (b)Faculté des Sciences, Université Ibn-Tofail, Kénitra, Morocco; (c)Faculté des Sciences Semlalia, Université Cadi Ayyad, LPHEA-Marrakech, Marrakesh, Morocco; (d)Faculté des Sciences, Université Mohamed Premier and LPTPM, Oujda, Morocco; (e)Faculté des sciences, Université Mohammed V, Rabat, Morocco 36 CERN, Geneva, Switzerland 123 Eur. 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C (2019) 79:901 Page 25 of 29 901 37 Enrico Fermi Institute, University of Chicago, Chicago, IL, USA 38 LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France 39 Nevis Laboratory, Columbia University, Irvington, NY, USA 40 Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark 41 (a)Dipartimento di Fisica, Università della Calabria, Rende, Italy; (b)INFN Gruppo Collegato di Cosenza, Laboratori Nazionali di Frascati, Frascati, Italy 42 Physics Department, Southern Methodist University, Dallas, TX, USA 43 Physics Department, University of Texas at Dallas, Richardson, TX, USA 44 National Centre for Scientific Research “Demokritos”, Agia Paraskevi, Greece 45 (a)Department of Physics, Stockholm University, Stockholm, Sweden; (b)Oskar Klein Centre, Stockholm, Sweden 46 Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany 47 Lehrstuhl für Experimentelle Physik IV, Technische Universität Dortmund, Dortmund, Germany 48 Institut für Kernund Teilchenphysik, Technische Universität Dresden, Dresden, Germany 49 Department of Physics, Duke University, Durham, NC, USA 50 SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK 51 INFN e Laboratori Nazionali di Frascati, Frascati, Italy 52 Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany 53 II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany 54 Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland 55 (a)Dipartimento di Fisica, Università di Genova, Genoa, Italy; (b)INFN Sezione di Genova, Genoa, Italy 56 II. Physikalisches Institut, Justus-Liebig-Universität Giessen, Giessen, Germany 57 SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK 58 LPSC, Université Grenoble Alpes, CNRS/IN2P3, Grenoble INP, Grenoble, France 59 Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA 60 (a)Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China; (b)Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao, China; (c)School of Physics and Astronomy, Shanghai Jiao Tong University, KLPPAC-MoE, SKLPPC, Shanghai, China; (d)Tsung-Dao Lee Institute, Shanghai, China 61 (a)Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany; (b)Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany 62 Faculty of Applied Information Science, Hiroshima Institute of Technology, Hiroshima, Japan 63 (a)Department of Physics, Chinese University of Hong Kong, Shatin, NT, Hong Kong; (b)Department of Physics, University of Hong Kong, Hong Kong, China; (c)Department of Physics and Institute for Advanced Study, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China 64 Department of Physics, National Tsing Hua University, Hsinchu, Taiwan 65 Department of Physics, Indiana University, Bloomington, IN, USA 66 (a)INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy; (b)ICTP, Trieste, Italy; (c)Dipartimento Politecnico di Ingegneria e Architettura, Università di Udine, Udine, Italy 67 (a)INFN Sezione di Lecce, Lecce, Italy; (b)Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy 68 (a)INFN Sezione di Milano, Milan, Italy; (b)Dipartimento di Fisica, Università di Milano, Milan, Italy 69 (a)INFN Sezione di Napoli, Naples, Italy; (b)Dipartimento di Fisica, Università di Napoli, Naples, Italy 70 (a)INFN Sezione di Pavia, Pavia, Italy; (b)Dipartimento di Fisica, Università di Pavia, Pavia, Italy 71 (a)INFN Sezione di Pisa, Pisa, Italy; (b)Dipartimento di Fisica E. Fermi, Università di Pisa, Pisa, Italy 72 (a)INFN Sezione di Roma, Rome, Italy; (b)Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy 73 (a)INFN Sezione di Roma Tor Vergata, Rome, Italy; (b)Dipartimento di Fisica, Università di Roma Tor Vergata, Rome, Italy 74 (a)INFN Sezione di Roma Tre, Rome, Italy; (b)Dipartimento di Matematica e Fisica, Università Roma Tre, Rome, Italy 75 (a)INFN-TIFPA, Trento, Italy; (b)Università degli Studi di Trento, Trento, Italy 76 Institut für Astround Teilchenphysik, Leopold-Franzens-Universität, Innsbruck, Austria 77 University of Iowa, Iowa City, IA, USA 78 Department of Physics and Astronomy, Iowa State University, Ames, IA, USA 79 Joint Institute for Nuclear Research, Dubna, Russia 123