$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $-1.8<y*<1.3$ for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{CP}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $|\eta|<2.3$ for seven centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{CP}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $|\eta|<2.3$ for seven centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{CP}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $|\eta|<2.3$ for seven centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

Charged particle multiplicity distribution.

Average charged particle transverse momentum as a function of the number of charged particles in the event.

Per trigger normalized yields of charged jets in the recoil region associated to a trigger hadron with pT (20,50) GeV/c in pp at 2.76 TeV calculated by PYTHIA Perugia 10 . Recoil jets were reconstructed using the anti-kt algorithm with R=0.4 and track constituent cutoff pT>150 MeV/c. Jet pT was corrected for the underlying event activity using background density estimated in cones that were perpendicular in azimuth w.r.t. leading jet axis. Statistical errors are given only.

Per trigger normalized raw recoil jet yield in hadron trigger bin of {8,9} GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron and with R=0.4 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Per trigger normalized raw recoil jet yield in hadron trigger bin of {20,50} GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron and with R=0.4 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Per trigger normalized raw recoil jet yield in hadron trigger bin of {8,9} GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron and with R=0.2 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Per trigger normalized raw recoil jet yield in hadron trigger bin of {20,50} GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron and with R=0.2 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Raw ratio of the per trigger normalized recoil jet yield in hadron trigger bin of {20,50} relative to the same quantity for a hadron trigger bin of {8,9} GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron and with R=0.2 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Per trigger normalized raw recoil jet yield in hadron trigger bin of {8,9} GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron and with R=0.4 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Per trigger normalized raw recoil jet yield in hadron trigger bin of {20,50} GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron and with R=0.4 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Raw ratio of the per trigger normalized recoil jet yield in hadron trigger bin of {20,50} relative to the same quantity for a hadron trigger bin of {8,9} GeV. The recoil jet yield is measured at.

Per trigger normalized raw recoil jet yield in hadron trigger bin of {20,50} GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron and with R=0.5 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Per trigger normalized raw recoil jet yield in hadron trigger bin of [20,50] GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron and with R=0.5 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Raw ratio of the per trigger normalized recoil jet yield in hadron trigger bin of {20,50} relative to the same quantity for a hadron trigger bin of {8,9} GeV. The recoil jet yield is measured at.

Raw difference of the per trigger normalized recoil jet yield in two exclusive hadron trigger bins of {20,50} and {8,9} GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron and with R=0.2 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Raw difference of the per trigger normalized recoil jet yield in two exclusive hadron trigger bins of {20,50} and {8,9} GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron and with R=0.2 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{{NN}}=2.76$ TeV.

Raw difference of the per trigger normalized recoil jet yield in two exclusive hadron trigger bins of {20,50} and {8,9} GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron and with R=0.4 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Raw difference of the per trigger normalized recoil jet yield in two exclusive hadron trigger bins of {20,50} and {8,9} GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron and with R=0.4 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Raw difference of the per trigger normalized recoil jet yield in two exclusive hadron trigger bins of {20,50} and {8,9} GeV. The recoil jet yield is measured at.

Raw difference of the per trigger normalized recoil jet yield in two exclusive hadron trigger bins of {20,50} and {8,9} GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron and with R=0.5 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{{NN}}=2.76$ TeV.

Azimuthal correlation between a trigger hadron (TT[8,9]) and recoil jets ($R$ = 0.4, 40 < $p_{T,jet}^{reco,ch}$ < 60 GeV/$c$) in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}=2.76$ TeV.

Azimuthal correlation between a trigger hadron (TT[20,50]) and recoil jets ($R$ = 0.4, 40 < $p_{T,jet}^{reco,ch}$ < 60 GeV/$c$) in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}=2.76$ TeV.

Difference of azimuthal correlations between a trigger hadron (TT[20,50]-[8,9]) and recoil jets ($R$ = 0.4, 40 < $p_{T,jet}^{reco,ch}$ < 60 GeV/$c$) in 0-10% most central Pb-Pb collisions at $sqrt{s_{{NN}}=2.76$ TeV.

Integrated yield for jets ($R$ = 0.4, 40 < $p_{T,jet}}^{reco,ch}$ < 60 GeV/$c$) recoiling from a trigger hadron (TT[8,9]) above a certain threshold of the relative azimuthal angle in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Integrated yield for jets ($R$ = 0.4, 40 < $p_{T,jet}^{reco,ch}$ < 60 GeV/$c$) recoiling from a trigger hadron (TT[20,50]) above a certain threshold of the relative azimuthal angle in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Difference of the integrated yield for jets ($R$ = 0.4, 40 < $p_{T,jet}^{reco,ch}$ < 60 GeV/$c$) recoiling from a trigger hadron (TT[20,50]-[8,9]) above a certain threshold of the relative azimuthal angle in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Difference of per trigger normalized yields of charged jets in the recoil region associated to a trigger hadron with pT (20,50) GeV and (8,9) GeV. Recoil jets were reconstructed with antikt algorithm with R=0.5 and track constituent pT>150 MeV/c.

Ratio of Delta_{recoil} distributions corresponding to recoil jets with R=0.2 and R=0.5.

Difference of the per trigger normalized recoil jet yield in two exclusive hadron trigger bins of {20,50} and {8,9} GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron and with R=0.4 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Difference of the per trigger normalized recoil jet yield in two exclusive hadron trigger bins of {20,50} and {8,9} GeV. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron using Anti-kT algorithm with R=0.5 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Difference of the per trigger normalized recoil jet yield in two exclusive hadron trigger bins of {20,50} and {8,9} GeV divided by the same quantity calculated with Pythia Perugia Tune 10. The recoil jet yield are measured at delta phi=pi \pm 0.6 with respect to the trigger hadron using Anti-kT algorithm with R=0.2 and with minimum constituent cutoff of 0.15 GeV. The data 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Difference of the per trigger normalized recoil jet yield in two exclusive hadron trigger bins of {20,50} and {8,9} GeV divided by the same quantity calculated with Pythia Perugia Tune 10. The recoil jet yield are measured at delta phi=pi \pm 0.6 with respect to the trigger hadron using Anti-kT algorithm with R=0.4 and with minimum constituent cutoff of 0.15 GeV. The data 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Difference of the per trigger normalized recoil jet yield in two exclusive hadron trigger bins of {20,50} and {8,9} GeV divided by the same quantity calculated with Pythia Perugia Tune 10. The recoil jet yield is measured at delta phi=pi \pm 0.6 with respect to the trigger hadron usign Anti-kT algorithm with R=0.5 and with minimum constituent cutoff of 0.15 GeV. The measurement is performed in 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Difference of the per trigger normalized recoil jet yield in two exclusive hadron trigger bins of {20,50} and {8,9} GeV measured with jet resolution R=0.2 divided by the same quantity measured with jet resolution R=0.4. The recoil jet yield are measured at delta phi=pi \pm 0.6 with respect to the trigger hadron using Anti-kT algorithm with minimum constituent cutoff of 0.15 GeV. The data 0-10% most central Pb-Pb collisions at $sqrt{s_NN}}=2.76$ TeV.

Difference of the per trigger normalized recoil jet yield in two exclusive hadron trigger bins of {20,50} and {8,9} GeV measured with jet resolution R=0.2 divided by the same quantity measured with jet resolution R=0.5. The recoil jet yield are measured at delta phi=pi \pm 0.6 with respect to the trigger hadron using Anti-kT algorithm with minimum constituent cutoff of 0.15 GeV. The data 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Difference of azimuthal correlations between a trigger hadron (TT[20,50]-[8,9]) and recoil jets ($R$ = 0.4, 40 < $p_{T,jet}^{reco,ch}$ < 60 GeV/$c$) in PYTHIA events embedded into 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Ratio of the difference of the integrated yield for jets ($R$ = 0.4, 40 < $p_{T,jet}^{reco,ch}$ < 60 GeV/$c$) recoiling from a trigger hadron (TT[20,50]-[8,9]) above a certain threshold of the relative azimuthal angle in Pb-Pb data to that in PYTHIA events embedded into 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Ratio of the difference of the integrated yield for jets ($R$ = 0.4, 40 < $p_{T,jet}^{reco,ch}$ < 60 GeV/$c$) recoiling from a trigger hadron (TT[20,50]-[8,9]) above a certain threshold of the relative azimuthal angle in Pb-Pb data to that in PYTHIA events embedded into 0-10% most central Pb-Pb collisions at $sqrt{s_{NN}}=2.76$ TeV.

Ratio of the jet spectrum with a leading track $p_{\mathrm{T}}$ > 5 GeV/$c$ over the inclusive jet spectrum for $R=0.2$ in pp collisions at $\sqrt{s}=2.76$ TeV.

Ratios of jet spectra with different leading track $p_{\mathrm{T}}$ requirements ("$0$ over $5$", "$3$ over $5$", "$7$ over $5$" and "$10$ over $5$") for $R=0.2$ jets in 0-10% most central Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$ TeV.

$R_{\mathrm{AA}}$ for $R=0.2$ jets with the leading track requirement of $5$ GeV/$c$ in 0-10% most central Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$ TeV.

$R_{\mathrm{AA}}$ for $R=0.2$ jets with the leading track requirement of $5$ GeV/$c$ in 10-30% most central Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$ TeV.

Ratios of transverse-momentum distributions of charged particles in three intervals of multiplicities to the respective one for inclusive (INEL>0) collisions. The spectra were normalised by the integral prior to division.