W and Z boson production in p-Pb collisions at √sNN=5.02 TeV

This is an electronic reprint of the original article. This reprint may differ from the original in pagination and typographic detail. Author(s): Title: Year: Version: Please cite the original version: All material supplied via JYX is protected by copyright and other intellectual property rights, and duplication or sale of all or part of any of the repository collections is not permitted, except that material may be duplicated by you for your research use or educational purposes in electronic or print form. You must obtain permission for any other use. Electronic or print copies may not be offered, whether for sale or otherwise to anyone who is not an authorised user. W and Z boson production in p-Pb collisions at √sNN=5.02 TeV ALICE Collaboration ALICE Collaboration. (2017). W and Z boson production in p-Pb collisions at √sNN=5.02 TeV. Journal of High Energy Physics, 2017(2), Article 77. https://doi.org/10.1007/JHEP02(2017)077 2017 JHEP02(2017)077 Published for SISSA by Springer Received:November 11, 2016 Accepted:February 4, 2017 Published:February 15, 2017 W and Z boson production in p-Pb collisions at √sNN = 5.02 TeV The ALICE collaboration E-mail: [email protected] Abstract: The W and Z boson production was measured via the muonic decay channel in proton-lead collisions at √sNN = 5.02 TeV at the Large Hadron Collider with the ALICE detector. The measurement covers backward (−4.46 < ycms <−2.96) and forward (2.03 < ycms <3.53) rapidity regions, corresponding to Pb-going and p-going directions, respectively. The Z-boson production cross section, with dimuon invariant mass of 60 < mµµ <120 GeV/c2and muon transverse momentum (pµ T) larger than 20 GeV/c, is measured. The production cross section and charge asymmetry of muons from W-boson decays with pµ T>10 GeV/care determined. The results are compared to theoretical calculations both with and without including the nuclear modification of the parton distribution functions. The W-boson production is also studied as a function of the collision centrality: the cross section of muons from W-boson decays is found to scale with the average number of binary nucleon-nucleon collisions within uncertainties. Keywords: Heavy Ion Experiments ArXiv ePrint: 1611.03002 Open Access, Copyright CERN, for the benefit of the ALICE Collaboration. Article funded by SCOAP3. doi:10.1007/JHEP02(2017)077 JHEP02(2017)077 Contents 1 Introduction 1 2 Data analysis 2 2.1 Experimental apparatus and data samples 2 2.2 Muon selection and Monte Carlo simulations 4 2.3 Z-boson analysis 6 2.4 W-boson analysis 7 3 Results 10 4 Summary 15 The ALICE collaboration 20 1 Introduction The W and Z boson production is extensively studied at hadron colliders as it represents an important benchmark of the Standard Model. The measurements in pp and pp collisions at different energies [1–13] are well described by Quantum Chromodynamics (QCD) calculations at Next-to-Leading Order (NLO) and Next-to-Next-to-Leading Order (NNLO) in perturbation theory. In the calculations, the input electroweak parameters (e.g. boson masses and weak couplings) are known to high accuracy, as well as the radiative corrections [14]. The measurements can hence constrain the Parton Distribution Functions (PDFs) [15]. With the large centre-of-mass energies and luminosity of the Large Hadron Collider (LHC), the W and Z boson production has become accessible for the first time in protonnucleus [16–19] and nucleus-nucleus collisions [20–23]. The PDFs are expected to be modified for nucleons inside a nucleus compared to those of nucleons in vacuum. Nuclear PDFs (nPDFs) are extracted from global analyses performed at NLO accuracy in perturbative QCD [24,25], but the results are mostly constrained by Deep-Inelastic Scattering and DrellYan data in a limited region of the four-momentum transfer Q2and parton longitudinal momentum fraction Bjorken-x[25]. The W and Z bosons and their lepton decay products are unaffected by the hot and dense strongly-interacting matter formed in ultra-relativistic heavy-ion collisions and offer a unique opportunity to study the nPDF in a region of high Q2∼(100 GeV)2and Bjorken-xranges from ∼10−4to almost unity where they are poorly constrained by data [26]. Furthermore, the asymmetry in the production of positive and negative W bosons, occurring mainly in the processes ud →W+and du →W−at the LHC energies, can be used to probe the flavour modification of the quark densities in nuclei [26]. The W and Z boson production was measured in Pb-Pb collisions at √sNN = 2.76 TeV by the ATLAS [20,21] and the CMS [22,23] experiments in the electronic and muonic decay channels. The results confirm that the production cross section scales with the number – 1 – JHEP02(2017)077 of nucleon-nucleon collisions (binary scaling) within uncertainties on the order of 10%. The W and Z bosons were further studied in p-Pb collisions at √sNN = 5.02 TeV. The Z-boson production was measured by the ATLAS [16] and CMS [17] experiments at mid-rapidity in the leptonic decay channels, and by the LHCb experiment at forward rapidities [18] in the muonic decay channel. The W-boson production was measured by the CMS experiment at mid-rapidity [19] in the leptonic (e, µ) decay channel. The results are described by theoretical calculations both with and without including the nuclear modification of the PDFs, with a preference towards the former and can be used to further constrain the nPDFs [26]. In nucleus-nucleus collisions, particle production is often studied as a function of the collision centrality, which is directly related to the impact parameter of the collision. The number of interacting nucleons, and hence the energy deposited in the collision region, increases from peripheral to central (head-on) collisions thus affecting the volume and density of the strongly-interacting medium that is produced. The nuclear modification of the PDFs is expected to depend as well on the position of the nucleon inside the nucleus, and therefore on average on the impact parameter of the collision [27]. The centrality of nucleus-nucleus collisions is usually estimated by measuring either the energy deposition or the hadronic multiplicity in specific detectors. This estimation is known to be biased in p-Pb collisions, where the range of the multiplicity is of similar magnitude as its fluctuations [28]. The biases are minimised when the centrality is determined through the energy measured at beam rapidity (with zero degree calorimeters), which is deposited by the non-interacting (spectator) nucleons emitted from the Pb nucleus in the collision and is therefore independent of the fluctuations in the number of produced particles. The W and Z boson production occurs in hard scattering processes at the initial stage of the collision, and it is expected to scale with the number of binary nucleon-nucleon collisions. The centrality-dependent yield can be therefore used as a test bench for the centrality estimation at the LHC. In this article, the ALICE results on Z and W boson production in the muonic decay channel in p-Pb collisions at √sNN = 5.02 TeV are presented. The former is measured with smaller uncertainties than the corresponding LHCb measurement in a similar rapidity range. The latter is the first measurement of W production in p-Pb collisions at forward and backward rapidity, in a region that is complementary to the one explored by CMS. The article is organized as follows. The data sample and analysis strategies are described in section 2. The results are shown in section 3and summarised in section 4. 2 Data analysis 2.1 Experimental apparatus and data samples The ALICE detector is described in detail in [29]. Muons are reconstructed in the muon spectrometer, covering the pseudorapidity range −4< η < −2.5 in the laboratory frame. The spectrometer consists of a dipole magnet with a 3 Tm integrated magnetic field, five tracking stations made of Multi-Wire Proportional Chambers with Cathode Pad readout, and two trigger stations made of Resistive Plate Chambers and several absorption elements. – 2 – JHEP02(2017)077 The tracking stations are placed downstream from a conical front absorber made of carbon, concrete and steel, with a thickness of 4.1 m (corresponding to 10 nuclear interaction lengths, λI) that filters out hadrons from the interaction point. The trigger stations are placed after an iron wall with a thickness of 1.2 m (7.2 λI) that absorbs secondary hadrons escaping from the front absorber and low-momentum muons, mainly coming from the decay of light hadrons. Finally, a conical beam shield covering the beam pipe protects the spectrometer from particles produced in the interaction of large-ηparticles with the pipe itself. In this analysis, the position of the interaction vertex is measured with the Silicon Pixel Detector (SPD), which constitutes the two innermost layers of the Inner Tracking System, covering an acceptance interval of |η|<2 and |η|<1.4, for the first and second layer, respectively. Two arrays of scintillators, the V0 detector [30], placed on each side of the interaction point and covering the pseudprapidity regions 2.8< η < 5.1 and −3.7< η < −1.7, are used as trigger detectors and to reject beam-induced background. The V0 is also used as a luminometer, together with the T0 detector, which consists of two arrays of quartz Cherenkov counters covering the pseudprapidity regions 4.6< η < 4.9 and −3.3< η < −3.0. The neutron zero degree calorimeters (ZN), placed on either side of the interaction point at ±112.5 m along the beam pipe are used to estimate the centrality of the collision. The analysis is performed on data collected in 2013 in proton-lead collisions at a centreof-mass energy √sNN = 5.02 TeV. Due to the different energies of the proton and lead beams (Ep= 4 TeV and EPb = 1.58 TeV per nucleon), the resulting nucleon-nucleon centreof-mass is boosted with respect to the laboratory frame by ∆y= 0.465 in the direction of the protons. Data were collected in two configurations, by inverting the direction of the p and Pb beams. It is assumed that the proton beam travels towards positive rapidities. With this convention, muons are measured at forward rapidity (2.03 < ycms <3.53) when the proton travels towards the spectrometer and at backward rapidity (−4.46 < ycms <−2.96) when the Pb ion is travelling towards the spectrometer. In the following, the two configurations will be referred to as p-going and Pb-going directions, respectively. The data sample used in the W-boson analysis consists of events with at least one muon candidate track selected with the muon trigger with a transverse momentum pT&4.2 GeV/c, in coincidence with a Minimum Bias (MB) event, which is defined by requiring the coincidence of signals in the two arrays of the V0 detector. For the Z-boson analysis, two muon candidates with a transverse momentum of pT&0.5 GeV/care required, in coincidence with a MB event. The trigger selection on the muon pTis not sharp and the threshold is defined as the value for which the trigger efficiency reaches a value of 50%. The integrated luminosities used in the analysis were computed by estimating the equivalent number of MB events corresponding to the muon-triggered data samples and then dividing by the MB cross sections. The latter were measured with Van der Meer scans and amount to 2.12 ±0.07 b and 2.09 ±0.07 b for the Pb-going and p-going samples, respectively [31]. The number of MB events corresponding to the muon-triggered data sample is evaluated as NMB =Fµ-trig/MB ·Nµ−trig where Nµ−trig is the number of muontriggered events and Fµ-trig/MB is the inverse probability of having a muon-triggered event in a MB event. The normalisation factor Fµ-trig/MB is estimated by using the information – 3 – JHEP02(2017)077 Centrality class 0–100% 2–20% 20–40% 40–60% 60–100% hNmult coll i6.9±0.6 11.3±0.3 9.6±0.2 7.1±0.3 3.2±0.1 Table 1. Average number of binary nucleon-nucleon collisions hNmult coll iestimated with the hybrid ZN method [28]. of the counters recording the total number of triggers, corrected for pile-up effects, which amount to 2%. The Fµ-trig/MB factor can also be obtained by applying the muon trigger condition in the analysis of MB events. The difference between the results obtained with the two methods, which amounts to about 1%, is taken as the systematic uncertainty. The integrated luminosity was also independently measured using the T0 detector: the results agree within better than 1% in both data samples. The difference was included in the systematic uncertainty of the MB cross section. The resulting luminosity is 5.81 ±0.20 nb−1 and 5.03 ±0.18 nb−1for the Pb-going and p-going data samples, respectively. The centrality of the collision is measured from the energy deposited in the ZN in the direction of the fragmenting lead ion. The average number of binary nucleon-nucleon collisions hNcolliis obtained from the “hybrid method” described in [28], which relies on the assumption that the charged-particle multiplicity measured at mid-rapidity is proportional to the average number of nucleons participating in the interaction hNparti. The values of hNpartifor a given ZN-centrality class are calculated by scaling the average number of participants in MB collisions hNMB parti, estimated with a Glauber Monte Carlo [32], by the ratio of the average charged-particle multiplicity measured at mid-rapidity for the ZNcentrality class and that of MB. These values are denoted as hNmult part iin the following to indicate the assumption used for the scaling. The corresponding number of binary collisions is then obtained as: hNmult coll i=hNmult part i − 1. The systematic uncertainties are estimated by using different ans¨atze, as described in [28]. The resulting values of hNmult coll iand their uncertainties are summarised in table 1. The muon trigger efficiency is found to be independent of centrality in p-Pb collisions. The normalisation factor of muon-triggered to MB events per centrality class can be obtained from the centrality integrated value Fµ-trig/MB scaled by the fraction of the MB events in the given centrality class. The 0–2% most central collisions are excluded in the centrality-dependent analysis, because of the large pile-up contamination in this event class (of the order of 20–30%). In pile-up events the ZN energies of two (or more) interactions sum up, thus biasing the centrality determination towards the most central classes. The contamination is reduced with decreasing centrality, and is about 3% in the 2–20% event classes in both the p-going and Pb-going data samples. These values are taken into account in the systematic uncertainties on the normalisation. 2.2 Muon selection and Monte Carlo simulations Muon track candidates are reconstructed in the tracking system using the algorithm described in [33]. A fiducial cut on the pseudorapidity of the muon of −4< η < −2.5 is applied in order to remove the particles at the edge of the spectrometer acceptance. An additional selection on the polar angle measured at the end of the front absorber of – 4 – JHEP02(2017)077 170◦< θabs <178◦is required to reject muons crossing the high-density region of the front absorber that undergo significant scattering. Muon identification is carried out by matching the tracks reconstructed in the tracker and the trigger systems. The contamination from beam-induced background tracks, which do not point to the interaction vertex, can be efficiently removed by exploiting the correlation between the momentum (p) of the track and its Distance of Closest Approach (DCA) to the vertex. Due to the multiple scattering in the front absorber, the DCA distribution of particles produced in the collision can be described with a Gaussian function, whose width depends on the material crossed and is proportional to 1/p. On the other hand, the background tracks have a DCA larger than about 40 cm, independent of pT. They can therefore be rejected by selecting particles with ap·DCA smaller than 6 times the width of the distribution, extracted from a Gaussian fit. The contamination depends on the beam configuration, being of the order of 7% in the pgoing direction and up to 90% in the Pb-going direction for particles with pT>10 GeV/c. However, in this region the signal and the background are completely separated and the selection can fully remove the background, with a signal rejection smaller than 0.3%. The probability of a cosmic muon to be reconstructed in coincidence with a minimum bias trigger is very small, of the order of 10−10. The selection on the p·DCA of the track further reduces the contamination to a negligible level. The detector response for muons from W and Z boson decays was determined through Monte Carlo (MC) simulations. The W and Z bosons are produced using POWHEG [34], a NLO particle generator, paired with PYTHIA 6.425 [35] for parton shower. The calculations include the CT10 [36] PDF set and the EPS09NLO [25] parameterisation of the nuclear modification of the PDFs. The propagation of particles through the detector and the absorption materials uses the GEANT3 [37] transport code. The simulation of p-Pb collisions takes into account the isospin dependence (in terms of uand d-type quark content) of the W and Z boson production, which is particularly important for W bosons [38]. To this aim proton-proton (pp) and proton-neutron (pn) collisions are simulated separately. The p-Pb collisions are obtained as the sum of the results, weighted by the average number of pp and pn interactions in a p-Pb collision. The alignment of the tracking chambers is a crucial step in the analysis of muons at high transverse momentum. The absolute position of the chambers was measured before data taking with photogrammetry. Their relative position is estimated with a precision of about 100 µm, using a modified version of the MILLIPEDE [39] package, which combines data taken with and without the magnetic field. The residual misalignment of the tracking chambers is taken into account in the simulations to estimate the acceptance and efficiency (A×) of the detector. While the method provides the most accurate estimation of the relative chamber position, it is not sensitive to a global misalignment of the entire spectrometer. A data-driven method was hence developed, in which the simulation of the tracker response is based on a parameterisation of the measured resolution of the clusters associated to a track. The distribution of the difference between the cluster and the reconstructed track positions on each chamber is parameterised with an extended CrystalBall function [40] and utilised to simulate the smearing of the track parameters. The effect of a global misalignment of the muon spectrometer is mimicked by shifting the distribution – 5 – JHEP02(2017)077 of the track deviation in the magnetic field in opposite directions for positive and negative tracks. This shift is tuned so as to reproduce the observed difference in the ratio of the pTdistributions of positive and negative tracks, corrected for acceptance and efficiency, in two periods of data taking differing only by the magnetic field polarity. The values of the A×corrections are obtained using either the standard simulations with the residual misalignment, or the data-driven simulations: the difference is about 1% (2%) in the p-going (Pb-going) data sample for Z bosons, and about 1% for W bosons. These values are taken as the systematic uncertainties. It is worth noting that the limited momentum resolution of the detector can also result in positive muons wrongly reconstructed as negative muons and viceversa. The resulting loss of efficiency is small (smaller than 1% for muons with pT>10 GeV/c) and taken into account in the simulations. The uncertainty on the muon tracking efficiency is estimated from the difference between the muon tracking efficiency in MC and that from a data-driven approach based on the redundancy of the tracking stations [41]. It amounts to 2% (3%) for the p-going (Pb-going) period. The uncertainty on trigger efficiency, which is mainly due to the systematic uncertainty in the determination of the efficiency of each trigger chamber from data, amounts to 1%. An additional systematic uncertainty of 0.5% results from the choice of the χ2cut in the matching of the tracks reconstructed in the tracker with those in the trigger. In the dimuon analysis, these systematic uncertainties apply to both muons of the pair, which are well separated in phase space and therefore cross different parts of the detector. 2.3 Z-boson analysis Z-boson candidates are obtained by combining opposite-charge pairs of muons, selected according to the criteria described in section 2.2 and with a transverse momentum larger than 20 GeV/c. This condition reduces the contribution of lower mass resonances and of the semi-leptonic decay of charm and beauty hadrons. It was verified that relaxing the requirement on the minimum pTof the muon to 10 GeV/cdoes not introduce any additional unlike-sign dimuon pair with mµµ >40 GeV/c2. The resulting invariant-mass distribution is shown in figure 1. There are 2 (22) candidates with mµµ >60 GeV/c2reconstructed in the Pb-going (p-going) period. For the p-going data sample, where the number of dimuons is larger, the distribution is compared with expectations from the POWHEG MC simulations described in section 2.2. The results are shown in the right panel of figure 1. The contribution to the invariant-mass distribution from combinatorial background can be estimated using the like-sign dimuon distribution: no candidates were found in the region 60 < mµµ <120 GeV/c2. A 0.1% upper limit for this contribution is obtained by extrapolating the like-sign dimuon distribution at low mass (mµµ <20 GeV/c2) to the region of interest. Contributions from other physics processes, like the semileptonic decays of cc, bb and tt pairs and the muonic decay of τpairs is estimated to be less than 0.7% (0.4%) for the p-going (Pb-going) data taking period. Those estimations were done using MC simulations (PYTHIA 6.425 for the first process and POWHEG for the others). Since no background events are expected, the number of Z candidates is obtained by counting the entries in the invariant-mass distributions of opposite-charge muon pairs of figure 1. – 6 – JHEP02(2017)077 ) 2 c (GeV/ µµ m 0 20 40 60 80 100 120 140 ) 2 c (counts/3.0 GeV/m/dNd 0 0.5 1 1.5 2 2.5 3 = 5.02 TeV NN sALICE, p-Pb < -2.96 cms µµ y-4.46 < ) 2 c (GeV/ µµ m 0 20 40 60 80 100 120 140 ) 2 c (counts/3.0 GeV/m/dNd 0 1 2 3 4 5 6 7 8 = 5.02 TeV NN sALICE, p-Pb < 3.53 cms µµ y2.03 < Data POWHEG Figure 1. Invariant-mass distribution of unlike-sign muon pairs with pT>20 GeV/cin the Pbgoing (left panel) and p-going (right panel) data samples. In the p-going one, the solid line represents the distribution obtained using POWHEG simulations and normalised to the number of Z candidates in the data. Background contamination <1% Tracking efficiency 4% (p-going) 6% (Pb-going) Trigger efficiency 2% Tracker/trigger matching 1% Alignment 1% (p-going) 2% (Pb-going) Fµ-trig/MB 1% MB cross section 3.3% Table 2. Summary of systematic uncertainties for Z-boson analysis. The measured number of candidates is corrected by the A×evaluated with simulations. The A×is estimated as the ratio of the number of reconstructed Z bosons with the same analysis cuts used in data to the number of generated ones with −4< η < −2.5 and pµ T>20 GeV/c. An invariant mass cut of 60 < mµµ <120 GeV/c2is applied to both reconstructed and generated Z bosons. The resulting A×is 78% (61%) for the p-going (Pb-going) data taking period, with a relative systematic uncertainty of 1% (2%). The lower A×value in the Pb-going configuration is due to a smaller detector efficiency in the corresponding data-taking period. The uncertainty accounts for the difference from the values obtained with a simulation based on the residual misalignment and that based on the data-driven alignment. The systematic uncertainties are summarised in table 2. 2.4 W-boson analysis At transverse momenta higher than 10 GeV/c, the main contributions to the inclusive pT distribution of muons are the decays of W bosons, the dimuon decays of Z bosons and the muon decays of heavy-flavoured hadrons. The number of muons from W decays can be extracted from the inclusive pTspectrum before A×corrections through a fit procedure based on MC template descriptions of these three main components: f(pT) = Nraw bkg fbkg(pT) + Nraw µ←W(fµ←W(pT) + Rfµ←Z(pT)) (2.1) – 7 – JHEP02(2017)077 4 3 2 1 0 1 2 3 4 )− W← − µ N + + W← + µ N)/(− W← − µ N − + W← + µ N( 0.6− 0.4− 0.2− 0 0.2 = 5.02 TeV NN sALICE, p-Pb > 10 GeV/c µ T p Data pQCD + CT10 pQCD + CT10 + EPS09 FEWZ + MSTW2008 FEWZ + MSTW2008 + EPS09 4−3−2−1−0 1 2 3 4 0 0.5 1 Ratio to (pQCD + CT10) µ cms y 4−3−2−1−0 1 2 3 4 0 0.5 1 Ratio to (FEWZ + MSTW2008) Figure 6. Lepton charge asymmetry of muons from W-boson decays at backward and forward rapidities measured in p-Pb collisions at √sNN = 5.02 TeV. The vertical error bars (open boxes) represent the statistical (systematic) uncertainties. The horizontal width of the boxes corresponds to the measured rapidity range. The results are compared with theoretical calculations [26,46] performed both with and without including the nuclear modification of the parton distribution functions. In the top panel, the calculations are shifted along the rapidity axis to improve the visibility. The middle (bottom) panel shows the data and pQCD (FEWZ) calculations divided by the pQCD (FEWZ) calculations without nuclear modification of the PDFs. cms l y 5−4−3−2−1−0 1 2 3 4 Data/theory 0.8 0.9 1 1.1 1.2 1.3 1.4 pQCD+CT10+EPS09 >10 GeV/c) µ T ALICE (p >25 GeV/c) l T CMS (p ) + W← + (lσ = 5.02 TeV, NN sp-Pb cms l y 5−4−3−2−1−0 1 2 3 4 Data/theory 0.8 0.9 1 1.1 1.2 1.3 1.4 pQCD+CT10+EPS09 >10 GeV/c) µ T ALICE (p >25 GeV/c) l T CMS (p ) − W← − (lσ = 5.02 TeV, NN sp-Pb Figure 7. Ratio of data over theoretical calculations for the production cross section of positive (left panel) and negative (right panel) muons and leptons from W-boson production measured by the ALICE and CMS experiments [19], respectively. The pQCD calculations are obtained with CT10 NLO PDF set and with the EPS09NLO parameterisation of the nuclear modifications. – 14 – JHEP02(2017)077 Centrality class 0-100% 2-20% 20-40% 40-60% 60-100% (nb)〉 coll mult N〈/ W← µ σ 10 12 14 16 18 20 = 5.02 TeV NN sALICE, p-Pb > 10 GeV/c µ T p < -2.96 cms y-4.46 < Global uncertainty: 4.8% Centrality class 0-100% 2-20% 20-40% 40-60% 60-100% (nb)〉 coll mult N〈/ W← µ σ 20 22 24 26 28 30 32 34 36 = 5.02 TeV NN sALICE, p-Pb > 10 GeV/c µ T p < 3.53 cms y2.03 < Global uncertainty: 4.3% Figure 8. Sum of the cross sections of positive and negative charge muons from W boson decays measured in p-Pb collisions at √sNN = 5.02 TeV in the rapidity region −4.46 < ycms <−2.96 (left panel) and 2.03 < ycms <3.53 (right panel) as a function of centrality. The cross sections are normalised by the number of binary collisions hNmult coll i. The vertical bars (open boxes) represent the statistical (systematic) uncertainties. The correlated global uncertainties include the MB cross section, normalisation, A×corrections and tracking and trigger systematics. A dotted line is drawn at the value of the centrality-integrated cross section to guide the eye. 4 Summary The ALICE experiment has studied the W and Z-boson production at forward and backward rapidities in p-Pb collisions at √sNN = 5.02 TeV at the LHC. The Z-boson cross section was measured in the dimuon decay channel with pµ T>20 GeV/cand 60 < mµµ <120 GeV/c2. The W-boson cross section and decay lepton charge asymmetry were measured in the muonic decay channel with pµ T>10 GeV/c. The results are described by NLO pQCD calculations [26] as well as NNLO calculations using FEWZ [46], but the uncertainties on the measurement cannot constrain the nuclear modification of the PDFs. W-boson production was also measured as a function of the event centrality, estimated from the energy deposited in the neutron zero degree calorimeters. The cross section of muons from W-boson decays normalised by the number of binary nucleon-nucleon collisions is compatible with a constant within uncertainties. Further measurements with better precision are needed to provide more stringent constraints on the nPDFs and on the binary scaling. Acknowledgments The ALICE collaboration would like to thank Hannu Paukkunen for providing the pQCD calculations. The ALICE Collaboration would like to thank all its engineers and technicians for their invaluable contributions to the construction of the experiment and the CERN accelerator teams for the outstanding performance of the LHC complex. The ALICE Collaboration gratefully acknowledges the resources and support provided by all Grid centres and the Worldwide LHC Computing Grid (WLCG) collaboration. The ALICE Collaboration acknowledges the following funding agencies for their support in building and running – 15 – JHEP02(2017)077 the ALICE detector: A.I. Alikhanyan National Science Laboratory (Yerevan Physics Institute) Foundation (ANSL), State Committee of Science and World Federation of Scientists (WFS), Armenia; Austrian Academy of Sciences and Nationalstiftung f¨ur Forschung, Technologie und Entwicklung, Austria; Conselho Nacional de Desenvolvimento Cient´ıfico e Tecnol´ogico (CNPq), Universidade Federal do Rio Grande do Sul (UFRGS), Financiadora de Estudos e Projetos (Finep) and Funda¸c˜ao de Amparo `a Pesquisa do Estado de S˜ao Paulo (FAPESP), Brazil; Ministry of Science & Technology of China (MSTC), National Natural Science Foundation of China (NSFC) and Ministry of Education of China (MOEC), China; Ministry of Science, Education and Sport and Croatian Science Foundation, Croatia; Ministry of Education, Youth and Sports of the Czech Republic, Czech Republic; The Danish Council for Independent Research — Natural Sciences, the Carlsberg Foundation and Danish National Research Foundation (DNRF), Denmark; Helsinki Institute of Physics (HIP), Finland; Commissariat `a l’Energie Atomique (CEA) and Institut National de Physique Nucl´eaire et de Physique des Particules (IN2P3) and Centre National de la Recherche Scientifique (CNRS), France; Bundesministerium f¨ur Bildung, Wissenschaft, Forschung und Technologie (BMBF) and GSI Helmholtzzentrum f¨ur Schwerionenforschung GmbH, Germany; Ministry of Education, Research and Religious Affairs, Greece; National Research, Development and Innovation Office, Hungary; Department of Atomic Energy Government of India (DAE), India; Indonesian Institute of Science, Indonesia; Centro Fermi — Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi and Istituto Nazionale di Fisica Nucleare (INFN), Italy; Institute for Innovative Science and Technology, Nagasaki Institute of Applied Science (IIST), Japan Society for the Promotion of Science (JSPS) KAKENHI and Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan; Consejo Nacional de Ciencia (CONACYT) y Tecnolog´ıa, through Fondo de Cooperaci´on Internacional en Ciencia y Tecnolog´ıa (FONCICYT) and Direcci´on General de Asuntos del Personal Academico (DGAPA), Mexico; Nationaal instituut voor subatomaire fysica (Nikhef), Netherlands; The Research Council of Norway, Norway; Commission on Science and Technology for Sustainable Development in the South (COMSATS), Pakistan; Pontificia Universidad Cat´olica del Per´u, Peru; Ministry of Science and Higher Education and National Science Centre, Poland; Korea Institute of Science and Technology Information and National Research Foundation of Korea (NRF), Republic of Korea; Ministry of Education and Scientific Research, Institute of Atomic Physics and Romanian National Agency for Science, Technology and Innovation, Romania; Joint Institute for Nuclear Research (JINR), Ministry of Education and Science of the Russian Federation and National Research Centre Kurchatov Institute, Russia; Ministry of Education, Science, Research and Sport of the Slovak Republic, Slovakia; National Research Foundation of South Africa, South Africa; Centro de Aplicaciones Tecnol´ogicas y Desarrollo Nuclear (CEADEN), Cubaenerg´ıa, Cuba, Ministerio de Ciencia e Innovacion and Centro de Investigaciones Energ´eticas, Medioambientales y Tecnol´ogicas (CIEMAT), Spain; Swedish Research Council (VR) and Knut & Alice Wallenberg Foundation (KAW), Sweden; European Organization for Nuclear Research, Switzerland; National Science and Technology Development Agency (NSDTA), Suranaree University of Technology (SUT) and Office of the Higher Education Commission under NRU project of Thailand, Thailand; Turk- – 16 – JHEP02(2017)077 ish Atomic Energy Agency (TAEK), Turkey; National Academy of Sciences of Ukraine, Ukraine; Science and Technology Facilities Council (STFC), United Kingdom; National Science Foundation of the United States of America (NSF) and United States Department of Energy, Office of Nuclear Physics (DOE NP), United States of America. 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Lietava104, S. Lindal21, V. Lindenstruth42, C. Lippmann100, M.A. Lisa19, H.M. Ljunggren34, W. Llope139, D.F. Lodato54, P.I. Loenne22, V. Loginov77, C. Loizides76, X. Lopez72, E. L´opez Torres9, A. Lowe140, P. Luettig61, M. Lunardon29, G. Luparello25, M. Lupi35, T.H. Lutz141, A. Maevskaya53, M. Mager35, S. Mahajan93, S.M. Mahmood21, A. Maire66, R.D. Majka141, M. Malaev88, I. Maldonado Cervantes63, L. Malinina68,iv, D. Mal’Kevich55, P. Malzacher100, A. Mamonov102, V. Manko82, F. Manso72, V. Manzari106, Y. Mao7, M. Marchisone67,130, J. Mareˇs57, G.V. Margagliotti25, A. Margotti107, J. Margutti54, A. Mar´ın100, C. Markert121, M. Marquard61, N.A. Martin100, – 21 – JHEP02(2017)077 P. Martinengo35, M.I. Mart´ınez2, G. Mart´ınez Garc´ıa116, M. Martinez Pedreira35, A. Mas123, S. Masciocchi100, M. Masera26, A. Masoni108, A. Mastroserio33, A.M. Mathis36,97, A. Matyja129,120, C. Mayer120, J. Mazer129, M. Mazzilli33, M.A. Mazzoni111, F. Meddi23, Y. Melikyan77, A. Menchaca-Rocha65, E. Meninno30, J. Mercado P´erez96, M. Meres38, S. Mhlanga92, Y. Miake132, M.M. Mieskolainen46, K. Mikhaylov55,68, L. Milano76, J. Milosevic21, A. Mischke54, A.N. Mishra49, T. Mishra58, D. Mi´skowiec100, J. Mitra137, C.M. Mitu59, N. Mohammadi54, B. Mohanty81, L. Molnar116, E. Montes10, D.A. Moreira De Godoy62, L.A.P. Moreno2, S. Moretto29, A. Morreale116, A. Morsch35, V. Muccifora74, E. Mudnic119, D. M¨uhlheim62, S. Muhuri137, M. Mukherjee137, J.D. Mulligan141, M.G. Munhoz123, K. M¨unning45, R.H. Munzer36,61,97, H. Murakami131, S. Murray67, L. Musa35, J. Musinsky56, C.J. Myers126, B. Naik48, R. Nair79, B.K. Nandi48, R. Nania107, E. Nappi106, M.U. Naru16, H. Natal da Luz123, C. Nattrass129, S.R. Navarro2, K. Nayak81, R. Nayak48, T.K. Nayak137, S. Nazarenko102, A. Nedosekin55, R.A. Negrao De Oliveira35, L. Nellen63, F. Ng126, M. Nicassio100, M. Niculescu59, J. Niedziela35, B.S. Nielsen83, S. Nikolaev82, S. Nikulin82, V. Nikulin88, F. Noferini12,107, P. Nomokonov68, G. Nooren54, J.C.C. Noris2, J. Norman128, A. Nyanin82, J. Nystrand22, H. Oeschler96, S. Oh141, A. Ohlson35, T. Okubo47, L. Olah140, J. Oleniacz138, A.C. Oliveira Da Silva123, M.H. Oliver141, J. Onderwaater100, C. Oppedisano113, R. Orava46, M. Oravec118, A. Ortiz Velasquez63, A. Oskarsson34, J. Otwinowski120, K. Oyama78, M. Ozdemir61, Y. Pachmayer96, V. Pacik83, D. Pagano135,26, P. Pagano30, G. Pai´c63, S.K. Pal137, P. Palni7, J. Pan139, A.K. Pandey48, V. Papikyan1, G.S. Pappalardo109, P. Pareek49, J. Park51, W.J. Park100, S. Parmar90, A. Passfeld62, V. Paticchio106, R.N. Patra137, B. Paul113, H. Pei7, T. Peitzmann54, X. Peng7, H. Pereira Da Costa15, D. Peresunko77,82, E. Perez Lezama61, V. Peskov61, Y. Pestov5, V. Petr´aˇcek39, V. Petrov114, M. Petrovici80, C. Petta28, S. Piano112, M. Pikna38, P. Pillot116, L.O.D.L. Pimentel83, O. Pinazza35,107, L. Pinsky126, D.B. Piyarathna126, M. P losko´n76, M. Planinic133, J. Pluta138, S. Pochybova140, P.L.M. Podesta-Lerma122, M.G. Poghosyan87, B. Polichtchouk114, N. Poljak133, W. Poonsawat117, A. Pop80, H. Poppenborg62, S. Porteboeuf-Houssais72, J. Porter76, J. Pospisil86, V. Pozdniakov68, S.K. Prasad4, R. Preghenella107,35, F. Prino113, C.A. Pruneau139, I. Pshenichnov53, M. Puccio26, G. Puddu24, P. Pujahari139, V. Punin102, J. Putschke139, H. Qvigstad21, A. Rachevski112, S. Raha4, S. Rajput93, J. Rak127, A. Rakotozafindrabe15, L. Ramello32, F. Rami66, D.B. Rana126, R. Raniwala94, S. Raniwala94, S.S. R¨as¨anen46, B.T. Rascanu61, D. Rathee90, V. Ratza45, I. Ravasenga26, K.F. Read87,129, K. Redlich79, A. Rehman22, P. Reichelt61, F. Reidt35,96, X. Ren7, R. Renfordt61, A.R. Reolon74, A. Reshetin53, K. Reygers96, V. Riabov88, R.A. Ricci75, T. Richert34,54, M. Richter21, P. Riedler35, W. Riegler35, F. Riggi28, C. Ristea59, M. Rodr´ıguez Cahuantzi2, K. Røed21, E. Rogochaya68, D. Rohr42, D. R¨ohrich22, F. Ronchetti35,74, L. Ronflette116, P. Rosnet72, A. Rossi29, F. Roukoutakis91, A. Roy49, C. Roy66, P. Roy103, A.J. Rubio Montero10, R. Rui25, R. 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Sibiriak82, – 22 – JHEP02(2017)077 S. Siddhanta108, K.M. Sielewicz35, T. Siemiarczuk79, D. Silvermyr34, C. Silvestre73, G. Simatovic133, G. Simonetti35, R. Singaraju137, R. Singh81, V. Singhal137, T. Sinha103, B. Sitar38, M. Sitta32, T.B. Skaali21, M. Slupecki127, N. Smirnov141, R.J.M. Snellings54, T.W. Snellman127, J. Song99, M. Song142, Z. Song7, F. Soramel29, S. Sorensen129, F. Sozzi100, E. Spiriti74, I. Sputowska120, B.K. Srivastava98, J. Stachel96, I. Stan59, P. Stankus87, E. Stenlund34, G. Steyn67, J.H. Stiller96, D. Stocco116, P. Strmen38, A.A.P. Suaide123, T. Sugitate47, C. Suire52, M. Suleymanov16, M. Suljic25, R. Sultanov55, M. ˇ Sumbera86, S. Sumowidagdo50, K. Suzuki115, S. Swain58, A. Szabo38, I. Szarka38, A. Szczepankiewicz138, M. Szymanski138, U. Tabassam16, J. Takahashi124, G.J. Tambave22, N. Tanaka132, M. Tarhini52, M. Tariq18, M.G. Tarzila80, A. Tauro35, G. Tejeda Mu˜noz2, A. Telesca35, K. Terasaki131, C. Terrevoli29, B. Teyssier134, D. Thakur49, D. Thomas121, R. 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Watanabe131, M. Weber115, S.G. Weber100, D.F. Weiser96, J.P. Wessels62, U. Westerhoff62, A.M. Whitehead92, J. Wiechula61, J. Wikne21, G. Wilk79, J. Wilkinson96, G.A. Willems62, M.C.S. Williams107, B. Windelband96, M. Winn96, W.E. Witt129, S. Yalcin71, P. Yang7, S. Yano47, Z. Yin7, H. Yokoyama132,73, I.-K. Yoo35,99, J.H. Yoon51, V. Yurchenko3, V. Zaccolo83, A. Zaman16, C. Zampolli35,107, H.J.C. Zanoli123, S. Zaporozhets68, N. Zardoshti104, A. Zarochentsev136, P. Z´avada57, N. Zaviyalov102, H. Zbroszczyk138, M. Zhalov88, H. Zhang7,22, X. Zhang76,7, Y. Zhang7, C. Zhang54, Z. Zhang7, C. Zhao21, N. Zhigareva55, D. Zhou7, Y. Zhou83, Z. Zhou22, H. Zhu7,22, J. Zhu7,116, A. Zichichi12,27, A. Zimmermann96, M.B. Zimmermann62,35, G. Zinovjev3, J. Zmeskal115 iDeceased ii Also at: Georgia State University, Atlanta, Georgia, United States iii Also at: Also at Department of Applied Physics, Aligarh Muslim University, Aligarh, India iv Also at: M.V. Lomonosov Moscow State University, D.V. Skobeltsyn Institute of Nuclear, Physics, Moscow, Russia 1A.I. Alikhanyan National Science Laboratory (Yerevan Physics Institute) Foundation, Yerevan, Armenia 2Benem´erita Universidad Aut´onoma de Puebla, Puebla, Mexico 3Bogolyubov Institute for Theoretical Physics, Kiev, Ukraine 4Bose Institute, Department of Physics and Centre for Astroparticle Physics and Space Science (CAPSS), Kolkata, India 5Budker Institute for Nuclear Physics, Novosibirsk, Russia 6California Polytechnic State University, San Luis Obispo, California, United States 7Central China Normal University, Wuhan, China 8Centre de Calcul de l’IN2P3, Villeurbanne, Lyon, France 9Centro de Aplicaciones Tecnol´ogicas y Desarrollo Nuclear (CEADEN), Havana, Cuba 10 Centro de Investigaciones Energ´eticas Medioambientales y Tecnol´ogicas (CIEMAT), Madrid, Spain – 23 –