CERN Accelerating science

Distributions of charged-particle yields correlated to leading jets in the region $\abs{\Delta\varphi} < 1$ as a function of $\abs{\Delta\eta}$ for \pp (first column) and PbPb (second to fifth columns) collisions in different centrality bins, shown differentially for all \ptCh bins. The first row shows the charged-particle yields without any selection on \xj, while other rows show the charged-particle yields in different bins of \xj, starting with the most unbalanced $0 < \xj < 0.6$ (second row) to the most balanced $0.8 < \xj < 1.0$ (fourth row) dijet events.

Distributions of charged-particle yields correlated to leading jets in the region $\abs{\Delta\varphi} < 1$ as a function of $\abs{\Delta\eta}$ for \pp (first column) and PbPb (second to fifth columns) collisions in different centrality bins, shown differentially for all \ptCh bins. The first row shows the charged-particle yields without any selection on \xj, while other rows show the charged-particle yields in different bins of \xj, starting with the most unbalanced $0 < \xj < 0.6$ (second row) to the most balanced $0.8 < \xj < 1.0$ (fourth row) dijet events.

Distributions of charged-particle yields correlated to subleading jets in the region $\abs{\Delta\varphi} < 1$ as a function of $\abs{\Delta\eta}$ for \pp (first column) and PbPb (second to fifth columns) collisions in different centrality bins, shown differentially for all \ptCh bins. The first row shows the charged-particle yields without any selection on \xj, while other rows show the charged-particle yields in different bins of \xj, starting with the most unbalanced $0 < \xj < 0.6$ (second row) to the most balanced $0.8 < \xj < 1.0$ (fourth row) dijet events.

Distributions of charged-particle yields correlated to subleading jets in the region $\abs{\Delta\varphi} < 1$ as a function of $\abs{\Delta\eta}$ for \pp (first column) and PbPb (second to fifth columns) collisions in different centrality bins, shown differentially for all \ptCh bins. The first row shows the charged-particle yields without any selection on \xj, while other rows show the charged-particle yields in different bins of \xj, starting with the most unbalanced $0 < \xj < 0.6$ (second row) to the most balanced $0.8 < \xj < 1.0$ (fourth row) dijet events.

Jet radial momentum profile $\mathrm{P}(\Delta r)$ for \pp (first column) and PbPb (second to fifth columns) collisions in different centrality bins as a function of $\Delta r$, shown differentially in \ptCh for leading (upper row) and subleading (lower row) jets.

Jet radial momentum profile $\mathrm{P}(\Delta r)$ for \pp (first column) and PbPb (second to fifth columns) collisions in different centrality bins as a function of $\Delta r$, shown differentially in \ptCh for leading (upper row) and subleading (lower row) jets.

The PbPb to \pp ratio of the jet radial momentum distributions as a function of $\Delta r$, $\mathrm{P} (\Delta r)_{\mathrm{PbPb}}/\mathrm{P} (\Delta r)_{\pp}$, for different centrality bins for the leading jets (upper row) and subleading jets (lower row).

The PbPb to \pp ratio of the jet radial momentum distributions as a function of $\Delta r$, $\mathrm{P} (\Delta r)_{\mathrm{PbPb}}/\mathrm{P} (\Delta r)_{\pp}$, for different centrality bins for the leading jets (upper row) and subleading jets (lower row).

Leading jet shapes $\rho(\Delta r)$ (normalized to unity over $\Delta r < 1$) for \pp (first column) and PbPb (second to fifth columns) collisions in different centrality bins as a function of $\Delta r$, shown differentially in \ptCh for the inclusive \xj bin (first row) and in differential bins $0 < \xj < 0.6$ (second row), $0.6 < \xj < 0.8$ (third row), and $0.8 < \xj < 1.0$ (fourth row).

Leading jet shapes $\rho(\Delta r)$ (normalized to unity over $\Delta r < 1$) for \pp (first column) and PbPb (second to fifth columns) collisions in different centrality bins as a function of $\Delta r$, shown differentially in \ptCh for the inclusive \xj bin (first row) and in differential bins $0 < \xj < 0.6$ (second row), $0.6 < \xj < 0.8$ (third row), and $0.8 < \xj < 1.0$ (fourth row).

The PbPb to \pp ratio as a function of $\Delta r$ for leading jet shapes, $\rhoPbPb / \rhoPp$, in different centrality bins for $0 < \xj < 0.6$ (upper row), $0.6 < \xj < 0.8$ (middle row) and $0.8 < \xj < 1.0$ (lower row) dijet selections. The leading jet shape ratio for all dijets, \ie, without any selection on the dijet momentum balance are also shown in each row for comparison. The error bars represent the statistical uncertainties and the shaded areas the systematic uncertainties.

The PbPb to \pp ratio as a function of $\Delta r$ for leading jet shapes, $\rhoPbPb / \rhoPp$, in different centrality bins for $0 < \xj < 0.6$ (upper row), $0.6 < \xj < 0.8$ (middle row) and $0.8 < \xj < 1.0$ (lower row) dijet selections. The leading jet shape ratio for all dijets, \ie, without any selection on the dijet momentum balance are also shown in each row for comparison. The error bars represent the statistical uncertainties and the shaded areas the systematic uncertainties.

Subleading jet shapes $\rho(\Delta r)$ (normalized to unity over $\Delta r < 1$) for \pp (first column) and PbPb (second to fifth columns) collisions in different centrality bins as a function of $\Delta r$, shown differentially in \ptCh for the inclusive \xj bin (first row) and in differential bins $0 < \xj < 0.6$ (second row), $0.6 < \xj < 0.8$ (third row), and $0.8 < \xj < 1.0$ (fourth row).

Subleading jet shapes $\rho(\Delta r)$ (normalized to unity over $\Delta r < 1$) for \pp (first column) and PbPb (second to fifth columns) collisions in different centrality bins as a function of $\Delta r$, shown differentially in \ptCh for the inclusive \xj bin (first row) and in differential bins $0 < \xj < 0.6$ (second row), $0.6 < \xj < 0.8$ (third row), and $0.8 < \xj < 1.0$ (fourth row).

The PbPb to \pp ratio as a function of $\Delta r$ for subleading jet shapes, $\rhoPbPb / \rhoPp$, in different centrality bins for $0 < \xj < 0.6$ (upper row), $0.6 < \xj < 0.8$ (middle row) and $0.8 < \xj < 1.0$ (lower row) dijet selections. The subleading jet shape ratio for all dijets, \ie, without any selection on the dijet momentum balance are also shown in each row for comparison. The error bars represent the statistical uncertainties and the shaded areas the systematic uncertainties.

The PbPb to \pp ratio as a function of $\Delta r$ for subleading jet shapes, $\rhoPbPb / \rhoPp$, in different centrality bins for $0 < \xj < 0.6$ (upper row), $0.6 < \xj < 0.8$ (middle row) and $0.8 < \xj < 1.0$ (lower row) dijet selections. The subleading jet shape ratio for all dijets, \ie, without any selection on the dijet momentum balance are also shown in each row for comparison. The error bars represent the statistical uncertainties and the shaded areas the systematic uncertainties.

Ratio of momentum-unbalanced ($0.0 < \xj < 0.6$, upper row) and balanced ($0.8 < \xj < 1.0$, lower row) jet shapes to \xj integrated jet shapes for leading jets in \pp collisions and different PbPb centrality bins as a function of $\Delta r$. The error bars represent the statistical uncertainties and the shaded areas the systematic uncertainties.

Ratio of momentum-unbalanced ($0.0 < \xj < 0.6$, upper row) and balanced ($0.8 < \xj < 1.0$, lower row) jet shapes to \xj integrated jet shapes for leading jets in \pp collisions and different PbPb centrality bins as a function of $\Delta r$. The error bars represent the statistical uncertainties and the shaded areas the systematic uncertainties.

Ratio of momentum-unbalanced ($0.0 < \xj < 0.6$, upper row) and balanced ($0.8 < \xj < 1.0$, lower row) jet shapes to \xj integrated jet shapes for subleading jets in \pp collisions and different PbPb centrality bins as a function of $\Delta r$. The error bars represent the statistical uncertainties and the shaded areas the systematic uncertainties.

Ratio of momentum-unbalanced ($0.0 < \xj < 0.6$, upper row) and balanced ($0.8 < \xj < 1.0$, lower row) jet shapes to \xj integrated jet shapes for subleading jets in \pp collisions and different PbPb centrality bins as a function of $\Delta r$. The error bars represent the statistical uncertainties and the shaded areas the systematic uncertainties.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a generator level \xj for a given reconstructed \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a generator level \xj for a given reconstructed \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a generator level \xj for a given reconstructed \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a generator level \xj for a given reconstructed \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a generator level \xj for a given reconstructed \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a generator level \xj for a given reconstructed \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a generator level \xj for a given reconstructed \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a generator level \xj for a given reconstructed \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a generator level \xj for a given reconstructed \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a generator level \xj for a given reconstructed \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a reconstructed \xj for a given generator level \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a reconstructed \xj for a given generator level \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a reconstructed \xj for a given generator level \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a reconstructed \xj for a given generator level \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a reconstructed \xj for a given generator level \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a reconstructed \xj for a given generator level \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a reconstructed \xj for a given generator level \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a reconstructed \xj for a given generator level \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a reconstructed \xj for a given generator level \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.

Generator-level vs.\ reconstructed \xj values in the analysis \xj bins. The plots show the probability to find a reconstructed \xj for a given generator level \xj. The \PYTHIA~8 simulation is shown in the upper-left plot while the most central {\PYTHIA}+\HYDJET is shown in the lower-right plot.