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.

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.

Differential cross section for Y(1S) states as a function of their transverse momentum and per unit of rapidity in PbPb collisions. Statistical (systematic) uncertainties are displayed as error bars (boxes). Global relative uncertainties of 6.5% are not displayed.

Differential cross section for Y(2S) states as a function of their transverse momentum and per unit of rapidity in PbPb collisions. Statistical (systematic) uncertainties are displayed as error bars (boxes). Global relative uncertainties of 6.5% are not displayed.

Differential cross section for Y(1S) states as a function of their rapidity and integrated over transverse momentum in pp collisions. Statistical (systematic) uncertainties are displayed as error bars (boxes). Global relative uncertainties of 3.7% are not displayed.

Differential cross section for Y(2S) states as a function of their rapidity and integrated over transverse momentum in pp collisions. Statistical (systematic) uncertainties are displayed as error bars (boxes). Global relative uncertainties of 3.7% are not displayed.

Differential cross section for Y(3S) states as a function of their rapidity and integrated over transverse momentum in pp collisions. Statistical (systematic) uncertainties are displayed as error bars (boxes). Global relative uncertainties of 3.7% are not displayed.

Differential cross section for Y(1S) states as a function of their rapidity and integrated over transverse momentum in PbPb collisions. Statistical (systematic) uncertainties are displayed as error bars (boxes). Global relative uncertainties of 6.5% are not displayed.

Differential cross section for Y(2S) states as a function of their rapidity and integrated over transverse momentum in PbPb collisions. Statistical (systematic) uncertainties are displayed as error bars (boxes). Global relative uncertainties of 6.5% are not displayed.

Nuclear modification factor for Υ(1S) states in PbPb collisions as a function of pT. Statistical (systematic) uncertainties are displayed as error bars (boxes), while the global (fully correlated) uncertainty (7.5%) is displayed as a grey box at unity.

Nuclear modification factor for Υ(2S) states in PbPb collisions as a function of pT. Statistical (systematic) uncertainties are displayed as error bars (boxes), while the global (fully correlated) uncertainty (7.5%) is displayed as a grey box at unity.

Nuclear modification factor for Υ(1S) states in PbPb collisions as a function of |y|. Statistical (systematic) uncertainties are displayed as error bars (boxes), while the global (fully correlated) uncertainty (7.5%) is displayed as a grey box at unity.

Nuclear modification factor for Υ(2S) states in PbPb collisions as a function of |y|. Statistical (systematic) uncertainties are displayed as error bars (boxes), while the global (fully correlated) uncertainty (7.5%) is displayed as a grey box at unity.

Nuclear modification factors for Υ(1S) meson production in PbPb collisions, as a function of centrality, displayed as the average number of participating nucleons. Statistical (systematic) uncertainties are displayed as error bars (boxes), while the global (fully correlated) uncertainties from the PbPb data (3.2%) or from the pp reference (6.3%) are displayed at unity as empty and filled red black boxes, respectively.

Nuclear modification factors for Υ(2S) meson production in PbPb collisions, as a function of centrality, displayed as the average number of participating nucleons. Statistical (systematic) uncertainties are displayed as error bars (boxes), while the global (fully correlated) uncertainties from the PbPb data (3.2%) or from the pp reference (6.9%) are displayed at unity as empty and filled black black boxes, respectively.

Nuclear modification factors for Υ(1S), Υ(2S) and Υ(3S) meson production in PbPb collisions, integrated over centrality. For the Υ(3S), the upper limit derived on the nuclear modification factor is given.

Prompt J/$\psi$ $R_{\rm AA}$ as a function of centrality. The average ${N}_{\rm part}$ values correspond to events flatly distributed across centrality.

Prompt J/$\psi$ $R_{\rm AA}$ as a function of rapidity.

Prompt J/$\psi$ $R_{\rm AA}$ as a function of $p_{\rm T}$.

Prompt J/$\psi$ $R_{\rm AA}$ as a function of centrality at high $p_{\rm T}$, 6.5$<p_{\rm T}<$30 GeV/c, in three different $|y|$ regions.

Prompt J/$\psi$ $R_{\rm AA}$ as a function of centrality, at forward rapidity, 1.6$<|y|<$2.4, for two different $p_{\rm T}$ regions.

Nonprompt J/$\psi$ $v_{2}$ as a function of $p_{\rm T}$.

Nonprompt J/$\psi$ $R_{\rm AA}$ as a function of centrality. The average ${N}_{\rm part}$ values correspond to events flatly distributed across centrality.

Nonprompt J/$\psi$ $R_{\rm AA}$ as a function of rapidity.

Nonprompt J/$\psi$ $R_{\rm AA}$ as a function of $p_{\rm T}$.

Nonprompt J/$\psi$ $R_{\rm AA}$ as a function of centrality. The average ${N}_{\rm part}$ values correspond to events flatly distributed across centrality.

Nonprompt J/$\psi$ $R_{\rm AA}$ as a function of centrality. The average ${N}_{\rm part}$ values correspond to events flatly distributed across centrality.

RMS of raw subtracted $p_T$ for jets reconstructed in PbPb collisions (in different centrality bins) with the anti-k$_T$ algorythm with a distance parameter $R=0.3$, in $|\eta|<0.2$.

Inclusive jet cross section in pp collisions, for anti-k$_T$ jets with a distance parameter $R=0.2, 0.3, 0.4$, reconstructed in $|\eta|<0.2$. The '3.7%' luminosity uncertainty is a fully correlated uncertainty, and not included in the point-to-point uncertainty.

Inclusive jet spectra in different centrality bins of PbPb collisions, for anti-k$_T$ jets of distance parameter $R=0.2$, reconstructed in $|\eta|<0.2$. The PbPb spectra in each case are scaled by TAA. The uncertainty on the TAA is considered as global uncertainty (common to all points for a given centrality), and it is not included in the point-to-point uncertainties.

Inclusive jet spectra in different centrality bins of PbPb collisions, for anti-k$_T$ jets of distance parameter $R=0.3$, reconstructed in $|\eta|<0.2$. The PbPb spectra in each case are scaled by TAA. The uncertainty on the TAA is considered as global uncertainty (common to all points for a given centrality), and it is not included in the point-to-point uncertainties.

Inclusive jet spectra in different centrality bins of PbPb collisions, for anti-k$_T$ jets of distance parameter $R=0.4$, reconstructed in $|\eta|<0.2$. The PbPb spectra in each case are scaled by TAA. The uncertainty on the TAA is considered as global uncertainty (common to all points for a given centrality), and it is not included in the point-to-point uncertainties.

Inclusive jet RAA as a function of jet $p_T$, for anti-k$_T$ jets with distance parameter $R=0.2, 0.3, 0.4$, with $|\eta|<2$, for 0-5\% PbPb centrality. The '5.5%' combined uncertainty on the pp luminosity and PbPb TAA is considered as global uncertainty (common to all points), and it is not included in the point-to-point uncertainties.

Inclusive jet RAA as a function of jet $p_T$, for anti-k$_T$ jets with distance parameter $R=0.2, 0.3, 0.4$, with $|\eta|<2$, for 5-10\% PbPb centrality. The '5.9%' combined uncertainty on the pp luminosity and PbPb TAA is considered as global uncertainty (common to all points), and it is not included in the point-to-point uncertainties.

Inclusive jet RAA as a function of jet $p_T$, for anti-k$_T$ jets with distance parameter $R=0.2, 0.3, 0.4$, with $|\eta|<2$, for 10-30\% PbPb centrality. The '6.9%' combined uncertainty on the pp luminosity and PbPb TAA is considered as global uncertainty (common to all points), and it is not included in the point-to-point uncertainties.

Inclusive jet RAA as a function of jet $p_T$, for anti-k$_T$ jets with distance parameter $R=0.2, 0.3, 0.4$, with $|\eta|<2$, for 30-50\% PbPb centrality. The '10%' combined uncertainty on the pp luminosity and PbPb TAA is considered as global uncertainty (common to all points), and it is not included in the point-to-point uncertainties.

Inclusive jet RAA as a function of jet $p_T$, for anti-k$_T$ jets with distance parameter $R=0.2, 0.3, 0.4$, with $|\eta|<2$, for 50-70\% PbPb centrality. The '15%' combined uncertainty on the pp luminosity and PbPb TAA is considered as global uncertainty (common to all points), and it is not included in the point-to-point uncertainties.

Inclusive jet RAA as a function of jet $p_T$, for anti-k$_T$ jets with distance parameter $R=0.2, 0.3, 0.4$, with $|\eta|<2$, for 70-90\% PbPb centrality. The '18%' combined uncertainty on the pp luminosity and PbPb TAA is considered as global uncertainty (common to all points), and it is not included in the point-to-point uncertainties.

Inclusive jet RAA as a function of average Npart, for anti-k$_T$ jets with distance parameter $R=0.2, 0.3, 0.4$, reconstructed in the range $80< p_T < 90$GeV/c and $|\eta|<2$.

Inclusive jet RAA as a function of average Npart, for anti-k$_T$ jets with distance parameter $R=0.2, 0.3, 0.4$, reconstructed in the range $130< p_T < 150$GeV/c and $|\eta|<2$.

Inclusive jet RAA as a function of jet $p_T$, for anti-k$_T$ jets with distance parameter $R=0.2, 0.3$, reconstructed in the range $|\eta|<2$, for 0-10\% PbPb centrality. The '5.7%' combined uncertainty on the pp luminosity and PbPb TAA is considered as global uncertainty (common to all points), and it is not included in the point-to-point uncertainties.

Ratio rho_PbPb(dR)/rho_pp(dR) of leading jet shape for peripheral PbPb data (centrality 50-100%) to leading jet shape for pp data.

Ratio rho_PbPb(dR)/rho_pp(dR) of leading jet shape for central PbPb data (centrality 0-30%) to leading jet shape for pp data.

Subleading jet shape rho(dR) versus dR for pp data, normalized to unity over the range dR < 0.3.

Subleading jet shape rho(dR) versus dR for peripheral PbPb data (centrality 50-100%), normalized to unity over the range dR < 0.3.

Subleading jet shape rho(dR) versus dR for central PbPb data (centrality 0-30%), normalized to unity over the range dR < 0.3.

Ratio rho_PbPb(dR)/rho_pp(dR) of subleading jet shape for peripheral PbPb data (centrality 50-100%) to subleading jet shape for pp data.

Ratio rho_PbPb(dR)/rho_pp(dR) of subleading jet shape for central PbPb data (centrality 0-30%) to subleading jet shape for pp data.

Difference of the total track transverse momentum distributions between subleading and leading hemispheres in pp data (denoted d, projected into relative azimuth, for balanced dijets with Aj < 0.22.

Difference of the total track transverse momentum distributions (P = 1/N dSum(pT)/dPhi) between subleading and leading hemispheres in peripheral PbPb data (centrality 50-100%), projected into relative azimuth, for balanced dijets with Aj < 0.22. Hemisphere subleading-to-leading difference is denoted dP.

Difference of the total track transverse momentum distributions (P = 1/N dSum(pT)/dPhi) between subleading and leading hemispheres in central PbPb data (centrality 0-30%), projected into relative azimuth, for balanced dijets with Aj < 0.22. Hemisphere subleading-to-leading difference is denoted dP.

Double difference of transverse momentum distributions, subleading minus leading, peripheral PbPb minus pp (dP_PbPb - dP_p), projected into relative azimuth, for balanced dijets with Aj < 0.22.

Double difference of transverse momentum distributions, subleading minus leading, central PbPb minus pp (dP_PbPb - dP_p), projected into relative azimuth, for balanced dijets with Aj < 0.22.

Difference of the total track transverse momentum distributions (P = 1/N dSum(pT)/dPhi) between subleading and leading hemispheres in pp data, projected into relative azimuth, for unbalanced dijets with Aj > 0.22. Hemisphere subleading-to-leading difference is denoted dP.

Difference of the total track transverse momentum distributions (P = 1/N dSum(pT)/dPhi) between subleading and leading hemispheres in peripheral PbPb data (centrality 50-100%), projected into relative azimuth, for unbalanced dijets with Aj > 0.22. Hemisphere subleading-to-leading difference is denoted dP.

Difference of the total track transverse momentum distributions (P = 1/N dSum(pT)/dPhi) between subleading and leading hemispheres in central PbPb data (centrality 0-30%), projected into relative azimuth, for unbalanced dijets with Aj > 0.22. Hemisphere subleading-to-leading difference is denoted dP.

Double difference of transverse momentum distributions, subleading minus leading, peripheral PbPb minus pp (dP_PbPb - dP_p), projected into relative azimuth, for unbalanced dijets with Aj > 0.22.

Double difference of transverse momentum distributions, subleading minus leading, central PbPb minus pp (dP_PbPb - dP_p), projected into relative azimuth, for unbalanced dijets with Aj > 0.22.

Jet peak (long-range subtracted) distribution of transverse momentum (P = 1/N dSum(pT)/dPhi) for leading jets in pp data, projected into relative azimuth and plotted in the negative direction, for balanced dijets with Aj < 0.22.

Jet peak (long-range subtracted) distribution of transverse momentum (P = 1/N dSum(pT)/dPhi) for subleading jets in pp data, projected into relative azimuth, for balanced dijets with Aj < 0.22.

Jet peak (long-range subtracted) distribution of transverse momentum (P = 1/N dSum(pT)/dPhi) for leading jets in peripheral PbPb data, projected into relative azimuth and plotted in the negative direction, for balanced dijets with Aj < 0.22.

Jet peak (long-range subtracted) distribution of transverse momentum (P = 1/N dSum(pT)/dPhi) for subleading jets in peripheral PbPb data, projected into relative azimuth, for balanced dijets with Aj < 0.22.

Jet peak (long-range subtracted) distribution of transverse momentum (P = 1/N dSum(pT)/dPhi) for leading jets in central PbPb data, projected into relative azimuth and plotted in the negative direction, for balanced dijets with Aj < 0.22.

Jet peak (long-range subtracted) distribution of transverse momentum (P = 1/N dSum(pT)/dPhi) for subleading jets in central PbPb data, projected into relative azimuth, for balanced dijets with Aj < 0.22.

Difference, peripheral PbPb minus pp data in subleading jet peak transverse momentum distributions (P_PbPb - P_pp), projected into relative azimuth, for balanced dijets with Aj < 0.22.

Difference, central PbPb minus pp data in subleading jet peak transverse momentum distributions (P_PbPb - P_pp), projected into relative azimuth, for balanced dijets with Aj < 0.22.

Difference, peripheral PbPb minus pp data in leading jet peak transverse momentum distributions (P_PbPb - P_pp), projected into relative azimuth and plotted in the negative direction, for balanced dijets with Aj < 0.22.

Difference, central PbPb minus pp data in leading jet peak transverse momentum distributions (P_PbPb - P_pp), projected into relative azimuth and plotted in the negative direction, for balanced dijets with Aj < 0.22.

Double difference, peripheral PbPb minus pp, subleading minus leading (dP_PbPb - dP_pp), in jet peak transverse momentum distributions, projected into relative azimuth, for balanced dijets with Aj < 0.22.

Double difference, central PbPb minus pp, subleading minus leading (dP_PbPb - dP_pp), in jet peak transverse momentum distributions, projected into relative azimuth, for balanced dijets with Aj < 0.22.

Jet peak (long-range subtracted) distribution of transverse momentum (P = 1/N dSum(pT)/dPhi) for leading jets in pp data, projected into relative azimuth and plotted in the negative direction, for unbalanced dijets with Aj > 0.22.

Jet peak (long-range subtracted) distribution of transverse momentum (P = 1/N dSum(pT)/dPhi) for subleading jets in pp data, projected into relative azimuth, forunbalanced dijets with Aj > 0.22.

Jet peak (long-range subtracted) distribution of transverse momentum for leading jets in peripheral PbPb data, projected into relative azimuth and plotted in the negative direction, for unbalanced dijets with Aj > 0.22.

Jet peak (long-range subtracted) distribution of transverse momentum (P = 1/N dSum(pT)/dPhi) for subleading jets in peripheral PbPb data, projected into relative azimuth, for unbalanced dijets with Aj > 0.22.

Jet peak (long-range subtracted) distribution of transverse momentum (P = 1/N dSum(pT)/dPhi) for leading jets in central PbPb data, projected into relative azimuth and plotted in the negative direction, for unbalanced dijets with Aj > 0.22.

Jet peak (long-range subtracted) distribution of transverse momentum for subleading jets in central PbPb data, projected into relative azimuth, for unbalanced dijets with Aj > 0.22.

Difference, peripheral PbPb minus pp data in subleading jet peak transverse momentum distributions (P_PbPb - P_pp), projected into relative azimuth, for unbalanced dijets with Aj > 0.22.

Difference, central PbPb minus pp data in subleading jet peak transverse momentum distributions (P_PbPb - P_pp), projected into relative azimuth, for unbalanced dijets with Aj > 0.22.

Difference, peripheral PbPb minus pp data in leading jet peak transverse momentum distributions (P_PbPb - P_pp), projected into relative azimuth and plotted in the negative direction, for unbalanced dijets with Aj > 0.22.

Difference, central PbPb minus pp data in leading jet peak transverse momentum distributions (P_PbPb - P_pp), projected into relative azimuth and plotted in the negative direction, for unbalanced dijets with Aj > 0.22.

Double difference, peripheral PbPb minus pp, subleading minus leading, in jet peak transverse momentum distributions (dP_PbPb - dP_pp), projected into relative azimuth, for unbalanced dijets with Aj > 0.22.

Double difference, peripheral PbPb minus pp, subleading minus leading (dP_PbPb - dP_pp), in jet peak transverse momentum distributions, projected into relative azimuth, for unbalanced dijets with Aj > 0.22.

Difference of the long range track transverse momentum distributions between subleading and leading hemispheres in pp data (dP), projected into relative azimuth, for balanced dijets with Aj < 0.22.

Difference of the long range track transverse momentum distributions between subleading and leading hemispheres (dP) in peripheral PbPb data (centrality 50-100%), projected into relative azimuth, for balanced dijets with Aj < 0.22.

Difference of the long range track transverse momentum distributions between subleading and leading hemispheres (dP) in central PbPb data (centrality 0-30%), projected into relative azimuth, for balanced dijets with Aj < 0.22.

Double difference of long range transverse momentum distributions, subleading minus leading, peripheral PbPb minus pp (dP_PbPb - dP_pp), projected into relative azimuth, for balanced dijets with Aj < 0.22.

Double difference of long range transverse momentum distributions, subleading minus leading, central PbPb minus pp (dP_PbPb - dP_pp), projected into relative azimuth, for balanced dijets with Aj < 0.22.

Difference of the long range track transverse momentum distributions between subleading and leading hemispheres (dP) in pp data, projected into relative azimuth, for unbalanced dijets with Aj > 0.22.

Difference of the long range track transverse momentum distributions between subleading and leading hemispheres (dP) in peripheral PbPb data (centrality 50-100%), projected into relative azimuth, for unbalanced dijets with Aj > 0.22.

Difference of the long range track transverse momentum distributions between subleading and leading hemispheres (dP) in central PbPb data (centrality 0-30%), projected into relative azimuth, for unbalanced dijets with Aj > 0.22.

Double difference of the long range transverse momentum distributions, subleading minus leading, peripheral PbPb minus pp, projected into relative azimuth, for unbalanced dijets with Aj > 0.22.

Double difference of the long range transverse momentum distributions, subleading minus leading, central PbPb minus pp (dP_PbPb - dP_pp), projected into relative azimuth, for unbalanced dijets with Aj > 0.22.

Integrated transverse momentum in the long-range correlated distribution, as a function of track-pT, for balanced dijets with Aj < 0.22.

Integrated transverse momentum in the long-range correlated distribution, as a function of track-pT, for unbalanced dijets with Aj > 0.22.

Integrated transverse momentum difference central PbPb minus pp of the jet peak distributions (subleading minus leading), as a function of track-pT, for balanced dijets with Aj < 0.22.

Integrated transverse momentum difference central PbPb minus pp of the jet peak distributions (subleading minus leading), as a function of track-pT, for unbalanced dijets with Aj > 0.22.

Integrated transverse momentum difference central PbPb minus pp of the total transverse momentum distributions (subleading minus leading), as a function of track-pT, for balanced dijets with Aj < 0.22.

Integrated transverse momentum difference central PbPb minus pp of the total transverse momentum distributions (subleading minus leading), as a function of track-pT, for unbalanced dijets with Aj > 0.22.

Integrated transverse momentum difference peripheral PbPb minus pp of the jet peak distributions (subleading minus leading), as a function of track-pT, for balanced dijets with Aj < 0.22.

Integrated transverse momentum difference peripheral PbPb minus pp of the jet peak distributions (subleading minus leading), as a function of track-pT, for unbalanced dijets with Aj > 0.22.

Integrated transverse momentum difference peripheral PbPb minus pp of the total transverse momentum distributions (subleading minus leading), as a function of track-pT, for balanced dijets with Aj < 0.22.

Integrated transverse momentum difference peripheral PbPb minus pp of the total transverse momentum distributions (subleading minus leading), as a function of track-pT, for unbalanced dijets with Aj > 0.22.