Comparison of the shapes extrapolated with a linear or quadratic extrapolation of the QCD contribution in the W+ signal region.

Comparison of the shapes extrapolated with a linear or quadratic extrapolation of the QCD contribution in the W- signal region.

Post-fit distributions of the transverse mass in the W+ signal region.

Post-fit distributions of the transverse mass in the W- signal region.

Post-fit distributions of the dimuon mass in the Z boson signal region.

Example plot for the extrapolation of the QCD contribution from a region with inverted relative isolation criterion to the W+ signal region in the transverse mass bin 12 < mT < 18 GeV. The values corresponding to the smallest relative muon isolation are extrapolated with a linear (smaller value) and quadratic (larger value) function.

Example plot for the extrapolation of the QCD contribution from a region with inverted relative isolation criterion to the W- signal region in the transverse mass bin 12 < mT < 18 GeV.The values corresponding to the smallest relative muon isolation are extrapolated with a linear (smaller value) and quadratic (larger value) function.

Example plot for the extrapolation of the QCD contribution from a region with inverted relative isolation criterion to the W+ signal region in the transverse mass bin 102 < mT < 108 GeV.The values corresponding to the smallest relative muon isolation are extrapolated with a linear (larger value) and quadratic (smaller value) function.

Example plot for the extrapolation of the QCD contribution from a region with inverted relative isolation criterion to the W- signal region in the transverse mass bin 102 < mT < 108 GeV.The values corresponding to the smallest relative muon isolation are extrapolated with a linear (smaller value) and quadratic (larger value) function.

The table compares theoretical and measured values of the product of the fiducial cross sections and branching fractions. The theoretical predictions are generated with DYTurbo in combination with three different PDF sets. All values are normalized to the corresponding measured value. The relative uncertainties on the measured values are given separately with and without the contribution from the luminosity uncertainty.

The table compares theoretical and measured values of the product of the total cross sections and branching fractions. The theoretical predictions are generated with DYTurbo in combination with three different PDF sets. All values are normalized to the corresponding measured value. The relative uncertainties on the measured values are given separately with and without the contribution from the luminosity uncertainty.

The table compares theoretical and measured ratios of the product of the fiducial cross sections and branching fractions. The theoretical predictions are generated with DYTurbo in combination with three different PDF sets. All values are normalized to the corresponding measured value.

The table compares theoretical and measured ratios of the product of the total cross sections and branching fractions. The theoretical predictions are generated with DYTurbo in combination with three different PDF sets. All values are normalized to the corresponding measured value.

Comparison of the measured and theoretical cross sections for Z, W+, W-, and W production at different center-of-mass energies. The theoretical predictions are generated with DYTurbo in combination with the NNPDF 3.1 PDF set.

Tuned intrinsic kT parameters ShowerHandler:IntrinsicPtGaussian in Herwig with the underlying-event tune CH2 at nucleon-nucleon center-of-mass energy from 38.8 GeV to 13 TeV.

Tuned intrinsic kT parameters ShowerHandler:IntrinsicPtGaussian in Herwig with the underlying-event tune CH3 at nucleon-nucleon center-of-mass energy from 38.8 GeV to 13 TeV.

Tuned intrinsic kT parameters BeamRemnants:PrimordialkThard in Pythia with the underlying-event tune CP5 and ISR starting scale SpaceShower:pT0Ref = 1 GeV at nucleon-nucleon center-of-mass energy from 38.8 GeV to 13 TeV.

Tuned intrinsic kT parameters ShowerHandler:IntrinsicPtGaussian in Herwig with the underlying-event tune CH3 and ISR starting scale SudakovCommon:pTmin=0.7 GeV at nucleon-nucleon center-of-mass energy from 38.8 GeV to 13 TeV.

Tuned intrinsic kT parameters BeamRemnants:PrimordialkThard in Pythia with the underlying-event tune CP5 at proton-proton center-of-mass energy 38.8 GeV versus the dilepton mass range of the process.

Tuned intrinsic kT parameters BeamRemnants:PrimordialkThard in Pythia with the underlying-event tune CP5 at proton-proton center-of-mass energy 8000 GeV versus the dilepton mass range of the process.

Tuned intrinsic kT parameters BeamRemnants:PrimordialkThard in Pythia with the underlying-event tune CP5 at proton-nucleon center-of-mass energy 8160 GeV versus the dilepton mass range of the process.

Tuned intrinsic kT parameters BeamRemnants:PrimordialkThard in Pythia with the underlying-event tune CP5 at proton-nucleon center-of-mass energy 13000 GeV versus the dilepton mass range of the process.

Tuned intrinsic kT parameters ShowerHandler:IntrinsicPtGaussian in Herwig with the underlying-event tune CH2 at proton-proton center-of-mass energy 38.8 GeV versus the dilepton mass range of the process.

Tuned intrinsic kT parameters ShowerHandler:IntrinsicPtGaussian in Herwig with the underlying-event tune CH2 at proton-proton center-of-mass energy 8000 GeV versus the dilepton mass range of the process.

Tuned intrinsic kT parameters ShowerHandler:IntrinsicPtGaussian in Herwig with the underlying-event tune CH2 at proton-nucleon center-of-mass energy 8160 GeV versus the dilepton mass range of the process.

Tuned intrinsic kT parameters ShowerHandler:IntrinsicPtGaussian in Herwig with the underlying-event tune CH2 at proton-proton center-of-mass energy 13000 GeV versus the dilepton mass range of the process.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-proton center-of-mass energy 38.8 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-proton center-of-mass energy 62 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-proton center-of-mass energy 200 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-anti-proton center-of-mass energy 1800 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-anti-proton center-of-mass energy 1960 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-proton center-of-mass energy 2760 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-proton center-of-mass energy 8000 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-nucleon center-of-mass energy 8160 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-proton center-of-mass energy 13000 GeV when fitting to the CMS measurement.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-proton center-of-mass energy 13000 GeV when fitting to the LHCb measurement.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-proton center-of-mass energy 38.8 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-proton center-of-mass energy 62 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-proton center-of-mass energy 200 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-anti-proton center-of-mass energy 1800 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-anti-proton center-of-mass energy 1960 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-proton center-of-mass energy 2760 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-proton center-of-mass energy 8000 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-nucleon center-of-mass energy 8160 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-proton center-of-mass energy 13000 GeV when fitting to the CMS measurement.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-proton center-of-mass energy 13000 GeV when fitting to the LHCb measurement.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-proton center-of-mass energy 38.8 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-proton center-of-mass energy 62 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-proton center-of-mass energy 200 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-anti-proton center-of-mass energy 1800 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-anti-proton center-of-mass energy 1960 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-proton center-of-mass energy 2760 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-proton center-of-mass energy 8000 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-nucleon center-of-mass energy 8160 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-proton center-of-mass energy 13000 GeV when fitting to the CMS measurement.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-proton center-of-mass energy 13000 GeV when fitting to the LHCb measurement.

Distributions of $m_T$ in the $W^{+}$ signal selection for mu final states for the pp collisions at $\sqrt{s}=$ 13TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to\tau\nu$, and diboson processes.

Distributions of $m_T$ in the $W^{-}$ signal selection for e final states for the pp collisions at $\sqrt{s}=$ 5TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to\tau\nu$, and diboson processes.

Distributions of $m_T$ in the $W^{-}$ signal selection for mu final states for the pp collisions at $\sqrt{s}=$ 5TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to\tau\nu$, and diboson processes.

Distributions of $m_T$ in the $W^{-}$ signal selection for e final states for the pp collisions at $\sqrt{s}=$ 13TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to\tau\nu$, and diboson processes.

Distributions of $m_T$ in the $W^{-}$ signal selection for mu final states for the pp collisions at $\sqrt{s}=$ 13TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to\tau\nu$, and diboson processes.

Distributions of $m_{ll}$ in the Z signal selection for ee final states for the pp collisions at $\sqrt{s}=$ 5TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to l\nu$, and diboson processes.

Distributions of $m_{ll}$ in the Z signal selection for mumu final states for the pp collisions at $\sqrt{s}=$ 5TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to l\nu$, and diboson processes.

Distributions of $m_{ll}$ in the Z signal selection for ee final states for the pp collisions at $\sqrt{s}=$ 13TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to l\nu$, and diboson processes.

Distributions of $m_{ll}$ in the Z signal selection for mumu final states for the pp collisions at $\sqrt{s}=$ 13TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to l\nu$, and diboson processes.

Figure 4 Fiducial cross sections and ratios for $W\to\ell\nu$ and $Z\to\ell\ell$ processes at 13TeV

Figure 5 Fiducial cross sections and ratios for $W\to\ell\nu$ and $Z\to\ell\ell$ processes at 5.02TeV

Figure 6 Fiducial cross sections and ratios for $W\to\ell\nu$ and $Z\to\ell\ell$ processes between 13TeV and 5.02TeV

Figure 7 Total cross sections and ratios for $W\to\ell\nu$ and $Z\to\ell\ell$ processes at 13TeV

Figure 8 Total cross sections and ratios for $W\to\ell\nu$ and $Z\to\ell\ell$ processes at 5.02TeV

Figure 9 Total cross sections and ratios for $W\to\ell\nu$ and $Z\to\ell\ell$ processes between 13TeV and 5.02TeV

Summary of theoretical predictions of the total inclusive cross sections for W and Z boson production times leptonic branching fractions at ppbar collisions.

Summary of experimental measurements of the total inclusive cross sections for W and Z boson production times leptonic branching fractions at UA1 and UA2.

Summary of experimental measurements of the total inclusive cross sections for W and Z boson production times leptonic branching fractions at D0.

Summary of experimental measurements of the total inclusive cross sections for W and Z boson production times leptonic branching fractions at CDF.

Summary of theoretical predictions of the total inclusive cross sections for W boson production times leptonic branching fractions at pp collisions.

Summary of experimental measurements of the total inclusive cross sections for Z boson production times leptonic branching fractions at pp collisions.

Summary of experimental measurements of the total inclusive cross sections for W and Z boson production times leptonic branching fractions at CMS.

Summary of the systematic uncertainties on the ratio RMN.

Summary of the systematic uncertainties on the ratio Rincl_veto.

Summary of the systematic uncertainties on the ratio RMN_veto.

Differential cross section dσincl/d∆y for inclusive dijet production together with predictions of different MC models.

Differential cross section dσMN/d∆y for Mueller-Navelet dijet production together with predictions of different MC models.

Ratio Rincl of the cross sections for inclusive to ”exclusive” dijet production together with predictions of different MC models.

Ratio Rincl_veto of the cross sections for inclusive to ”exclusive” with veto dijet production together with predictions of different MC models.

Ratio RMN of the cross sections for Mueller-Navelet to ”exclusive” dijet production together with predicgtion of different MC models.

Ratio RMN_veto of the cross sections for Mueller-Navelet to ”exclusive” with veto dijet production together with predictions of different MC models.

Summary of the systematic uncertainties on the cross section dσincl/d∆y.

Summary of the systematic uncertainties on the cross section dσMN/d∆y.

Summary of the systematic uncertainties on the ratio Rincl.

Summary of the systematic uncertainties on the ratio RMN.

Summary of the systematic uncertainties on the ratio Rincl_veto.

Summary of the systematic uncertainties on the ratio RMN_veto.

Differential cross section dσincl/d∆y for inclusive dijet production together with predictions of different MC models.

Differential cross section dσMN/d∆y for Mueller-Navelet dijet production together with predictions of different MC models.

Ratio Rincl of the cross sections for inclusive to ”exclusive” dijet production together with predictions of different MC models.

Ratio Rincl_veto of the cross sections for inclusive to ”exclusive” with veto dijet production together with predictions of different MC models.

Ratio RMN of the cross sections for Mueller-Navelet to ”exclusive” dijet production together with predicgtion of different MC models.

Ratio RMN_veto of the cross sections for Mueller-Navelet to ”exclusive” with veto dijet production together with predictions of different MC models.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ in 10-20% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ in 20-30% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ in 30-40% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ in 40-50% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ in 50-60% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 0-0.2% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 0-5% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 0-10% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 10-20% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 20-30% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 30-40% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 40-50% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 50-60% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ for multiplicity class $220 \leq N^{offline}_{trk}<260$ in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ for multiplicity class $185 \leq N^{offline}_{trk}<220$ in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ for multiplicity class $150 \leq N^{offline}_{trk}<185$ in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ $120 \leq N^{offline}_{trk}<150$ in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ for multiplicity class $220 \leq N^{offline}_{trk}<260$ in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ for multiplicity class $185 \leq N^{offline}_{trk}<220$ in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ for multiplicity class $150 \leq N^{offline}_{trk}<185$ in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ for multiplicity class $120 \leq N^{offline}_{trk}<150$ in pPb collisions.

Pearson correlation coefficients $r_2$ and $r_3$ reconstructed using the leading and subleading flows as a function of $p^{a}_{T} - p^{b}_{T}$ in bin $p^{a}_{T}$ for centrality class 0-0.2% in PbPb collisions.

Pearson correlation coefficients $r_2$ and $r_3$ reconstructed using the leading and subleading flows as a function of $p^{a}_{T} - p^{b}_{T}$ in bin $p^{a}_{T}$ for centrality class 0-5% in PbPb collisions.

Pearson correlation coefficients $r_2$ and $r_3$ reconstructed using the leading and subleading flows as a function of $p^{a}_{T} - p^{b}_{T}$ in bin $p^{a}_{T}$ for centrality class 10-20% in PbPb collisions.

Pearson correlation coefficients $r_2$ and $r_3$ reconstructed using the leading and subleading flows as a function of $p^{a}_{T} - p^{b}_{T}$ in bin $p^{a}_{T}$ for centrality class 20-30% in PbPb collisions.

Pearson correlation coefficients $r_2$ and $r_3$ reconstructed using the leading and subleading flows as a function of $p^{a}_{T} - p^{b}_{T}$ in bin $p^{a}_{T}$ for centrality class 30-40% in PbPb collisions.

Pearson correlation coefficients $r_2$ and $r_3$ reconstructed using the leading and subleading flows as a function of $p^{a}_{T} - p^{b}_{T}$ in bin $p^{a}_{T}$ for centrality class 40-50% in PbPb collisions.

Elliptic and triangular ratios of subleading and leading flow as a function of multiplicity for the highest bin 2.5 < $p_T$ < 3.0 GeV in PbPb collisions.

Elliptic and triangular ratios of subleading and leading flow as a function of multiplicity for the highest bin 2.5 < $p_T$ < 3.0 GeV in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 0-0.2% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 0-5% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 0-10% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 10-20% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 20-30% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 30-40% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 40-50% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 50-60% centrality PbPb collisions.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, <SumET>. Reported as a function of dijet pT^avg, shown here for +0.3 < eta^dijet < +0.8.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, <SumET>. Reported as a function of dijet pT^avg, shown here for -0.3 < eta^dijet < +0.3.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, <SumET>. Reported as a function of dijet pT^avg, shown here for -0.8 < eta^dijet < -0.3.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, <SumET>. Reported as a function of dijet pT^avg, shown here for -1.2 < eta^dijet < -0.8.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, <SumET>. Reported as a function of dijet pT^avg, shown here for -2.1 < eta^dijet < -1.2.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, <SumET>. Reported as a function of dijet pT^avg, shown here for -2.8 < eta^dijet < -2.1.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of dijet pT^avg, shown here for +2.1 < eta^dijet < +2.8.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of dijet pT^avg, shown here for +1.2 < eta^dijet < +2.1.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of dijet pT^avg, shown here for +0.8 < eta^dijet < +1.2.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of dijet pT^avg, shown here for +0.3 < eta^dijet < +0.8.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of dijet pT^avg, shown here for -0.3 < eta^dijet < +0.3.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of dijet pT^avg, shown here for -0.8 < eta^dijet < -0.3.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of dijet pT^avg, shown here for -1.2 < eta^dijet < -0.8.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of dijet pT^avg, shown here for -2.1 < eta^dijet < -1.2.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of dijet pT^avg, shown here for -2.8 < eta^dijet < -2.1.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, <SumET>. Reported as a function of x_proj, shown here for 10^-3 < x_targ < 10^-2.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, <SumET>. Reported as a function of x_proj, shown here for 10^-2 < x_targ < 10^-1.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, <SumET>. Reported as a function of x_proj, shown here for 10^-1 < x_targ < 1$.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, <SumET>. Reported as a function of x_proj, shown here for 10^-3 < x_targ < 1$.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, <SumET>. Reported as a function of x_targ, shown here for 10^-3 < x_proj < 10^-2.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, <SumET>. Reported as a function of x_targ, shown here for 10^-2 < x_proj < 10^-1.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, <SumET>. Reported as a function of x_targ, shown here for 10^-1 < x_proj < 1$.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, <SumET>. Reported as a function of x_targ, shown here for 10^-3 < x_proj < 1$.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of x_proj, shown here for 10^-3 < x_targ < 10^-2.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of x_proj, shown here for 10^-2 < x_targ < 10^-1.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of x_proj, shown here for 10^-1 < x_targ < 1$.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of x_proj, shown here for 10^-3 < x_targ < 1$.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of x_targ, shown here for 10^-3 < x_proj < 10^-2.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of x_targ, shown here for 10^-2 < x_proj < 10^-1.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of x_targ, shown here for 10^-1 < x_proj < 1$.

Mean value of the sum of the transverse energy in -4.9 < eta < -3.2 in pp collisions, divided by a reference value (see text), <SumET>/<SumET>^ref. Reported as a function of x_targ, shown here for 10^-3 < x_proj < 1$.

Charged-particle spectra in different centrality intervals for Pb+Pb.

Charged-particle spectra in different centrality intervals for Pb+Pb (not shown in Fig. 10).

Charged-particle spectra in different centrality intervals for Pb+Pb.

Charged-particle spectra in different centrality intervals for Pb+Pb (not shown in Fig. 10).

Charged-particle spectra in different centrality intervals for Pb+Pb.

Charged-particle spectra in different centrality intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Rcp in different centrality intervals.

Rcp in different centrality intervals (not shown in Fig. 12).

Rcp in different centrality intervals.

Rcp in different centrality intervals (not shown in Fig. 12).

Rcp in different centrality intervals.

Rcp in different centrality intervals (not shown in Fig. 12).

Rcp in different centrality intervals.

Raa in different centrality intervals.

Raa in different centrality intervals (not shown in Fig. 13).

Raa in different centrality intervals.

Raa in different centrality intervals (not shown in Fig. 13).

Raa in different centrality intervals.

Raa in different centrality intervals (not shown in Fig. 13).

Raa in different centrality intervals.

Raa in different centrality intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa.

Raa as a function of <Npart>.

Raa as a function of <Npart>.

Raa as a function of <Npart>.

Raa as a function of <Npart>.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb.

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals.

$v_{5}$ data for various $q_2$ bins, Centrality 0-5%.

$v_{2}$ data for various $q_2$ bins, Centrality 5-10%.

$v_{3}$ data for various $q_2$ bins, Centrality 5-10%.

$v_{4}$ data for various $q_2$ bins, Centrality 5-10%.

$v_{5}$ data for various $q_2$ bins, Centrality 5-10%.

$v_{2}$ data for various $q_2$ bins, Centrality 10-15%.

$v_{3}$ data for various $q_2$ bins, Centrality 10-15%.

$v_{4}$ data for various $q_2$ bins, Centrality 10-15%.

$v_{5}$ data for various $q_2$ bins, Centrality 10-15%.

$v_{2}$ data for various $q_2$ bins, Centrality 15-20%.

$v_{3}$ data for various $q_2$ bins, Centrality 15-20%.

$v_{4}$ data for various $q_2$ bins, Centrality 15-20%.

$v_{5}$ data for various $q_2$ bins, Centrality 15-20%.

$v_{2}$ data for various $q_2$ bins, Centrality 20-25%.

$v_{3}$ data for various $q_2$ bins, Centrality 20-25%.

$v_{4}$ data for various $q_2$ bins, Centrality 20-25%.

$v_{5}$ data for various $q_2$ bins, Centrality 20-25%.

$v_{2}$ data for various $q_2$ bins, Centrality 25-30%.

$v_{3}$ data for various $q_2$ bins, Centrality 25-30%.

$v_{4}$ data for various $q_2$ bins, Centrality 25-30%.

$v_{5}$ data for various $q_2$ bins, Centrality 25-30%.

$v_{2}$ data for various $q_2$ bins, Centrality 30-35%.

$v_{3}$ data for various $q_2$ bins, Centrality 30-35%.

$v_{4}$ data for various $q_2$ bins, Centrality 30-35%.

$v_{5}$ data for various $q_2$ bins, Centrality 30-35%.

$v_{2}$ data for various $q_2$ bins, Centrality 35-40%.

$v_{3}$ data for various $q_2$ bins, Centrality 35-40%.

$v_{4}$ data for various $q_2$ bins, Centrality 35-40%.

$v_{5}$ data for various $q_2$ bins, Centrality 35-40%.

$v_{2}$ data for various $q_2$ bins, Centrality 40-45%.

$v_{3}$ data for various $q_2$ bins, Centrality 40-45%.

$v_{4}$ data for various $q_2$ bins, Centrality 40-45%.

$v_{5}$ data for various $q_2$ bins, Centrality 40-45%.

$v_{2}$ data for various $q_2$ bins, Centrality 45-50%.

$v_{3}$ data for various $q_2$ bins, Centrality 45-50%.

$v_{4}$ data for various $q_2$ bins, Centrality 45-50%.

$v_{5}$ data for various $q_2$ bins, Centrality 45-50%.

$v_{2}$ data for various $q_2$ bins, Centrality 50-55%.

$v_{3}$ data for various $q_2$ bins, Centrality 50-55%.

$v_{4}$ data for various $q_2$ bins, Centrality 50-55%.

$v_{5}$ data for various $q_2$ bins, Centrality 50-55%.

$v_{2}$ data for various $q_2$ bins, Centrality 55-60%.

$v_{3}$ data for various $q_2$ bins, Centrality 55-60%.

$v_{4}$ data for various $q_2$ bins, Centrality 55-60%.

$v_{5}$ data for various $q_2$ bins, Centrality 55-60%.

$v_{2}$ data for various $q_2$ bins, Centrality 60-65%.

$v_{3}$ data for various $q_2$ bins, Centrality 60-65%.

$v_{4}$ data for various $q_2$ bins, Centrality 60-65%.

$v_{5}$ data for various $q_2$ bins, Centrality 60-65%.

$v_{2}$ data for various $q_2$ bins, Centrality 65-70%.

$v_{3}$ data for various $q_2$ bins, Centrality 65-70%.

$v_{4}$ data for various $q_2$ bins, Centrality 65-70%.

$v_{5}$ data for various $q_2$ bins, Centrality 65-70%.

$v_{2}$ data for various $q_2$ bins, Centrality 0-10%.

$v_{3}$ data for various $q_2$ bins, Centrality 0-10%.

$v_{4}$ data for various $q_2$ bins, Centrality 0-10%.

$v_{5}$ data for various $q_2$ bins, Centrality 0-10%.

$v_{2}$ data for various $q_2$ bins, Centrality 10-20%.

$v_{3}$ data for various $q_2$ bins, Centrality 10-20%.

$v_{4}$ data for various $q_2$ bins, Centrality 10-20%.

$v_{5}$ data for various $q_2$ bins, Centrality 10-20%.

$v_{2}$ data for various $q_2$ bins, Centrality 20-30%.

$v_{3}$ data for various $q_2$ bins, Centrality 20-30%.

$v_{4}$ data for various $q_2$ bins, Centrality 20-30%.

$v_{5}$ data for various $q_2$ bins, Centrality 20-30%.

$v_{2}$ data for various $q_2$ bins, Centrality 30-40%.

$v_{3}$ data for various $q_2$ bins, Centrality 30-40%.

$v_{4}$ data for various $q_2$ bins, Centrality 30-40%.

$v_{5}$ data for various $q_2$ bins, Centrality 30-40%.

$v_{2}$ data for various $q_2$ bins, Centrality 40-50%.

$v_{3}$ data for various $q_2$ bins, Centrality 40-50%.

$v_{4}$ data for various $q_2$ bins, Centrality 40-50%.

$v_{5}$ data for various $q_2$ bins, Centrality 40-50%.

$v_{2}$ data for various $q_3$ bins, Centrality 0-5%.

$v_{3}$ data for various $q_3$ bins, Centrality 0-5%.

$v_{4}$ data for various $q_3$ bins, Centrality 0-5%.

$v_{5}$ data for various $q_3$ bins, Centrality 0-5%.

$v_{2}$ data for various $q_3$ bins, Centrality 5-10%.

$v_{3}$ data for various $q_3$ bins, Centrality 5-10%.

$v_{4}$ data for various $q_3$ bins, Centrality 5-10%.

$v_{5}$ data for various $q_3$ bins, Centrality 5-10%.

$v_{2}$ data for various $q_3$ bins, Centrality 10-15%.

$v_{3}$ data for various $q_3$ bins, Centrality 10-15%.

$v_{4}$ data for various $q_3$ bins, Centrality 10-15%.

$v_{5}$ data for various $q_3$ bins, Centrality 10-15%.

$v_{2}$ data for various $q_3$ bins, Centrality 15-20%.

$v_{3}$ data for various $q_3$ bins, Centrality 15-20%.

$v_{4}$ data for various $q_3$ bins, Centrality 15-20%.

$v_{5}$ data for various $q_3$ bins, Centrality 15-20%.

$v_{2}$ data for various $q_3$ bins, Centrality 20-25%.

$v_{3}$ data for various $q_3$ bins, Centrality 20-25%.

$v_{4}$ data for various $q_3$ bins, Centrality 20-25%.

$v_{5}$ data for various $q_3$ bins, Centrality 20-25%.

$v_{2}$ data for various $q_3$ bins, Centrality 25-30%.

$v_{3}$ data for various $q_3$ bins, Centrality 25-30%.

$v_{4}$ data for various $q_3$ bins, Centrality 25-30%.

$v_{5}$ data for various $q_3$ bins, Centrality 25-30%.

$v_{2}$ data for various $q_3$ bins, Centrality 30-35%.

$v_{3}$ data for various $q_3$ bins, Centrality 30-35%.

$v_{4}$ data for various $q_3$ bins, Centrality 30-35%.

$v_{5}$ data for various $q_3$ bins, Centrality 30-35%.

$v_{2}$ data for various $q_3$ bins, Centrality 35-40%.

$v_{3}$ data for various $q_3$ bins, Centrality 35-40%.

$v_{4}$ data for various $q_3$ bins, Centrality 35-40%.

$v_{5}$ data for various $q_3$ bins, Centrality 35-40%.

$v_{2}$ data for various $q_3$ bins, Centrality 40-45%.

$v_{3}$ data for various $q_3$ bins, Centrality 40-45%.

$v_{4}$ data for various $q_3$ bins, Centrality 40-45%.

$v_{5}$ data for various $q_3$ bins, Centrality 40-45%.

$v_{2}$ data for various $q_3$ bins, Centrality 45-50%.

$v_{3}$ data for various $q_3$ bins, Centrality 45-50%.

$v_{4}$ data for various $q_3$ bins, Centrality 45-50%.

$v_{5}$ data for various $q_3$ bins, Centrality 45-50%.

$v_{2}$ data for various $q_3$ bins, Centrality 50-55%.

$v_{3}$ data for various $q_3$ bins, Centrality 50-55%.

$v_{4}$ data for various $q_3$ bins, Centrality 50-55%.

$v_{5}$ data for various $q_3$ bins, Centrality 50-55%.

$v_{2}$ data for various $q_3$ bins, Centrality 55-60%.

$v_{3}$ data for various $q_3$ bins, Centrality 55-60%.

$v_{4}$ data for various $q_3$ bins, Centrality 55-60%.

$v_{5}$ data for various $q_3$ bins, Centrality 55-60%.

$v_{2}$ data for various $q_3$ bins, Centrality 60-65%.

$v_{3}$ data for various $q_3$ bins, Centrality 60-65%.

$v_{4}$ data for various $q_3$ bins, Centrality 60-65%.

$v_{5}$ data for various $q_3$ bins, Centrality 60-65%.

$v_{2}$ data for various $q_3$ bins, Centrality 65-70%.

$v_{3}$ data for various $q_3$ bins, Centrality 65-70%.

$v_{4}$ data for various $q_3$ bins, Centrality 65-70%.

$v_{5}$ data for various $q_3$ bins, Centrality 65-70%.

$v_{2}$ data for various $q_3$ bins, Centrality 0-10%.

$v_{3}$ data for various $q_3$ bins, Centrality 0-10%.

$v_{4}$ data for various $q_3$ bins, Centrality 0-10%.

$v_{5}$ data for various $q_3$ bins, Centrality 0-10%.

$v_{2}$ data for various $q_3$ bins, Centrality 10-20%.

$v_{3}$ data for various $q_3$ bins, Centrality 10-20%.

$v_{4}$ data for various $q_3$ bins, Centrality 10-20%.

$v_{5}$ data for various $q_3$ bins, Centrality 10-20%.

$v_{2}$ data for various $q_3$ bins, Centrality 20-30%.

$v_{3}$ data for various $q_3$ bins, Centrality 20-30%.

$v_{4}$ data for various $q_3$ bins, Centrality 20-30%.

$v_{5}$ data for various $q_3$ bins, Centrality 20-30%.

$v_{2}$ data for various $q_3$ bins, Centrality 30-40%.

$v_{3}$ data for various $q_3$ bins, Centrality 30-40%.

$v_{4}$ data for various $q_3$ bins, Centrality 30-40%.

$v_{5}$ data for various $q_3$ bins, Centrality 30-40%.

$v_{2}$ data for various $q_3$ bins, Centrality 40-50%.

$v_{3}$ data for various $q_3$ bins, Centrality 40-50%.

$v_{4}$ data for various $q_3$ bins, Centrality 40-50%.

$v_{5}$ data for various $q_3$ bins, Centrality 40-50%.

$v_{2}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.

$v_{2}$ - $v_{2}$ correlation within each centrality.

$v_{2}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.

$v_{2}$ - $v_{2}$ correlation within each centrality.

$v_{2}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.

$v_{2}$ - $v_{2}$ correlation within each centrality.

$v_{2}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.

$v_{2}$ - $v_{2}$ correlation within each centrality.

$v_{2}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.

$v_{2}$ - $v_{2}$ correlation within each centrality.

$v_{3}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.

$v_{3}$ - $v_{3}$ correlation within each centrality.

$v_{3}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.

$v_{3}$ - $v_{3}$ correlation within each centrality.

$v_{3}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.

$v_{3}$ - $v_{3}$ correlation within each centrality.

$v_{3}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.

$v_{3}$ - $v_{3}$ correlation within each centrality.

$v_{2}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.

$v_{2}$ - $v_{3}$ correlation for various q2 bins within each centrality.

$v_{2}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.

$v_{2}$ - $v_{3}$ correlation for various q2 bins within each centrality.

$v_{2}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.

$v_{2}$ - $v_{3}$ correlation for various q2 bins within each centrality.

$v_{2}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.

$v_{2}$ - $v_{3}$ correlation for various q2 bins within each centrality.

linear fit result of $v_{2}$ - $v_{3}$ correlation within each centrality.

$v_{3}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.

$v_{3}$ - $v_{2}$ correlation for various q3 bins within each centrality.

$v_{3}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.

$v_{3}$ - $v_{2}$ correlation for various q3 bins within each centrality.

$v_{3}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.

$v_{3}$ - $v_{2}$ correlation for various q3 bins within each centrality.

$v_{3}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.

$v_{3}$ - $v_{2}$ correlation for various q3 bins within each centrality.

$v_{2}$ - $v_{4}$ inclusive correlation in 5% centrality intervals.

$v_{2}$ - $v_{4}$ correlation for various q2 bins within each centrality.

$v_{2}$ - $v_{4}$ inclusive correlation in 5% centrality intervals.

$v_{2}$ - $v_{4}$ correlation for various q2 bins within each centrality.

$v_{2}$ - $v_{4}$ inclusive correlation in 5% centrality intervals.

$v_{2}$ - $v_{4}$ correlation for various q2 bins within each centrality.

$v_{2}$ - $v_{4}$ inclusive correlation in 5% centrality intervals.

$v_{2}$ - $v_{4}$ correlation for various q2 bins within each centrality.

$v_{3}$ - $v_{4}$ inclusive correlation in 5% centrality intervals.

$v_{3}$ - $v_{4}$ correlation within each centrality.

$v_{3}$ - $v_{4}$ inclusive correlation in 5% centrality intervals.

$v_{3}$ - $v_{4}$ correlation within each centrality.

$v_4$ decomposed into linear and nonlinear contributions based on q2 event-shape selection.

$v_4$ decomposed into linear and nonlinear contributions based on q2 event-shape selection.

$v_4$ decomposed into linear and nonlinear contributions based on q2 event-shape selection.

$v_4$ decomposed into linear and nonlinear contributions based on q2 event-shape selection.

$v_4$ decomposed into linear and nonlinear contributions based on q2 event-shape selection.

$v_5$ decomposed into linear and nonlinear contributions based on q2 event-shape selection.

$v_5$ decomposed into linear and nonlinear contributions based on q3 event-shape selection.

RMS eccentricity scaled v_n.

RMS eccentricity scaled v_n.

$v_{2}$ - $v_{5}$ inclusive correlation in 5% centrality intervals.

$v_{2}$ - $v_{5}$ correlation for various q2 bins within each centrality.

$v_{3}$ - $v_{5}$ inclusive correlation in 5% centrality intervals.

$v_{3}$ - $v_{5}$ correlation for various q2 bins within each centrality.

The results of fits of the two-particle double-ratio correlation function $R_{2} (Q)$ for $\sqrt{s} = 0.9\ TeV$ events with the unlike-charge reference sample for various multiplicity intervals $n_{ch}$ for the exponential parametrization $\Omega^{(E)}$. The uncertainties for parameters $\lambda$ and $R$ are square root from the quadratic sum of statistical and systematic errors. Where only one error is shown for parameters $C_{0}$ and $\epsilon$, this represents the statistical uncertainty only.

The results of fits of the two-particle double-ratio correlation function $R_{2} (Q)$ for $\sqrt{s} = 7\ TeV$ events with the unlike-charge reference sample for various multiplicity intervals $n_{ch}$ for the exponential parametrization $\Omega^{(E)}$. The uncertainties for parameters $\lambda$ and $R$ are square root from the quadratic sum of statistical and systematic errors. The statistical uncertainties at $7\ TeV$ were corrected on the $\sqrt{\chi^{2}/ndf}$ and they more smaller than systematic uncertainties. Where only one error is shown for parameters $C_{0}$ and $\epsilon$, this represents the statistical uncertainty only.

The results of fits of the two-particle double-ratio correlation function $R_{2} (Q)$ for $\sqrt{s} = 7\ TeV\ HM$ events with the unlike-charge reference sample for various multiplicity intervals $n_{ch}$ for the exponential parametrization $\Omega^{(E)}$. The uncertainties for parameters $\lambda$ and $R$ are square root from the quadratic sum of statistical and systematic errors. Where only one error is shown for parameters $C_{0}$ and $\epsilon$, this represents the statistical uncertainty only.

The results of fits of the two-particle double-ratio correlation function $R_{2} (Q)$ for $\sqrt{s} = 0.9\ TeV$ ($n_{ch} \ge 2$) events with the unlike-charge reference sample for various $k_{T}$ intervals for the exponential parametrization $\Omega^{(E)}$. The uncertainties for parameters $\lambda$ and $R$ are square root from the quadratic sum of statistical and systematic errors. The statistical uncertainties were corrected on the $\sqrt{\chi^{2}/ndf}$ when $\chi^{2}/ndf > 1$. Where only one error is shown for parameters $C_{0}$ and $\epsilon$, this represents the statistical uncertainty only.

The results of fits of the two-particle double-ratio correlation function $R_{2} (Q)$ for $\sqrt{s} = 7\ TeV$ ($n_{ch} \ge 2$) events with the unlike-charge reference sample for various $k_{T}$ intervals for the exponential parametrization $\Omega^{(E)}$. The uncertainties for parameters $\lambda$ and $R$ are square root from the quadratic sum of statistical and systematic errors. Where only one error is shown for parameters $C_{0}$ and $\epsilon$ , this represents the statistical uncertainty only. The statistical uncertainties were corrected on the $\sqrt{\chi^{2}/ndf}$ when $\chi^{2}/ndf > 1$. The statistical uncertainties at $7\ TeV$ more smaller than systematic uncertainties.

The results of fits of the two-particle double-ratio correlation function $R_{2} (Q)$ for $\sqrt{s} = 7\ TeV\ HM$ ($n_{ch} \ge 150$) events with the unlike-charge reference sample for various $k_{T}$ intervals for the exponential parametrization $\Omega^{(E)}$. The uncertainties for parameters $\lambda$ and $R$ are square root from the quadratic sum of statistical and systematic errors. The statistical uncertainties were corrected on the $\sqrt{\chi^{2}/ndf}$ when $\chi^{2}/ndf > 1$.Where only one error is shown for parameters $C_{0}$ and $\epsilon$, this represents the statistical uncertainty only.

The results of fits of the two-particle double-ratio correlation function $R_{2} (Q)$ for $\sqrt{s} = 7\ TeV$ events with the unlike-charge reference sample for various $k_{T}$ intervals of different multiplicity regions $n_{ch}$ for the exponential parametrization $\Omega^{(E)}$. The statistical uncertainties were corrected on the $\sqrt{\chi^{2}/ndf}$ when $\chi^{2}/ndf > 1$. The statistical uncertainties smaller than systematic uncertainties. The uncertainties for parameters $\lambda$ and $R$ are square root from the quadratic sum of statistical and systematic errors. Where only one error is shown for parameters $C_{0}$ and $\epsilon$, this represents the statistical uncertainty only.

The $Q$ distribution measured at $0.9\ TeV$ for unlike-sign pairs for $p_{T} > 100\ MeV$ and $|\eta|<2.5$, renormalized to the total number of charged-particle pairs. The error bars represents the statistical uncertainties.

The $Q$ distribution measured at $0.9\ TeV$ for like-sign pairs for $p_{T} > 100\ MeV$ and $|\eta|<2.5$, renormalized to the total number of charged-particle pairs. The error bars represents the statistical uncertainties.

The $Q$ distribution measured at $7\ TeV$ for unlike-sign pairs for $p_{T} > 100\ MeV$ and $|\eta|<2.5$, renormalized to the total number of charged-particle pairs. The error bars represents the statistical uncertainties.

The $Q$ distribution measured at $7\ TeV$ for like-sign pairs for $p_{T} > 100\ MeV$ and $|\eta|<2.5$, renormalized to the total number of charged-particle pairs. The error bars represents the statistical uncertainties.

The $R_{2}(Q)$ correlation function measured at $0.9\ TeV$ using unlike-charge particle reference sample for different $n_{ch}$ intervals $p_{T} > 100\ MeV$ and $|\eta|<2.5$. The error bars represents only the statistical uncertainties.

The $R_{2}(Q)$ correlation function measured at $0.9\ TeV$ using unlike-charge particle reference sample for different $k_{T}$ intervals with multiplicity $n_{ch} \ge 2$. The error bars represents only the statistical uncertainties.

The $R_{2}(Q)$ correlation function measured at $7\ TeV$ using unlike-charge particle reference sample for different multiplicity intervals $n_{ch}$ with $p_{T} > 100\ MeV$ and $|\eta| < 2.5$. The error bars represents only the statistical uncertainties.

The $R_{2}(Q)$ correlation function measured at $7\ TeV$ using unlike-charge particle reference sample for different $k_{T}$ intervals with multiplicity $n_{ch} \ge 2$. The error bars represents only the statistical uncertainties.

The $R_{2}(Q)$ correlation function measured at $7\ TeV\ HM$ using unlike-charge particle reference sample for different $n_{ch}$ intervals $p_{T} > 100\ MeV$ and $|\eta|<2.5$. The error bars represents only the statistical uncertainties.

The $R_{2}(Q)$ correlation function measured with $7\ TeV\ HM$ data using unlike-charge particle reference sample for different $k_{T}$ intervals with multiplicity $n_{ch} \ge 150$. The error bars represents only the statistical uncertainties.

The $R_{2}(Q)$ correlation function measured at $7\ TeV$ using unlike-charge particle reference sample for different $k_{T}$ intervals within multiplicity interval $n_{ch} = 2-9$. The error bars represents only the statistical uncertainties.

The $R_{2}(Q)$ correlation function measured at $7\ TeV$ using unlike-charge particle reference sample for different $k_{T}$ intervals within multiplicity interval $n_{ch} = 10-24$. The error bars represents only the statistical uncertainties.

The $R_{2}(Q)$ correlation function measured at $7\ TeV$ using unlike-charge particle reference sample for different $k_{T}$ intervals within multiplicity interval $n_{ch} = 25-80$. The error bars represents only the statistical uncertainties.

The $R_{2}(Q)$ correlation function measured at $7\ TeV$ using unlike-charge particle reference sample for different $k_{T}$ intervals within multiplicity interval $n_{ch} = 81-125$. The error bars represents only the statistical uncertainties.