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Figure 3

Inclusive charged-particle jet cross sections in pp collisions at $\sqrt{s}$ = 13 TeV using the anti-kT algorithm for different jet resolution parameters R from 0.2 to 0.7, with UE subtraction. Statistical uncertainties are displayed as vertical error bars. The total systematic uncertainties are shown as solid boxes around the data points.

Figure 5

Ratio of charged-particle jet cross section for resolution parameter R = 0.2 to other radii R = X, with X ranging from 0.3 to 0.7, after UE subtraction. Data are compared with LO (PYTHIA) and NLO (POWHEG+PYTHIA8) predictions as shown in the bottom panels. The systematic uncertainties of the cross section ratios from data are indicated by solid boxes around data points in the upper panel and shaded bands around unity in the mid and lower panels. No uncertainties are shown for theoretical predictions for better visibility.

Figure 7

Charged-particle jet yields in different V0M multiplicity percentile intervals for resolution parameters R varied from 0.2 to 0.7 in pp collisions at s = 13 TeV. Statistical and total systematic uncertainties are shown as vertical error bars and boxes around the data points, respectively.

Figure 8

Ratio of charged-particle jet yield measured in different multiplicity classes with respect to that in MB events as a function of pT for different resolution parameters R from 0.2 to 0.7. Statistical and total systematic uncertainties are shown as vertical error bars and boxes around the data points, respectively.

Figure 9

Ratios of charged-particle jet spectra with R = 0.2 to that with other jet resolution parameters R from 0.3 to 0.7, shown in different V0M multiplicity classes. Statistical and systematic uncertainties are shown as vertical error bars and boxes around the data points, respectively

Figure 12

a) Integrated jet yields, and b) $<p_T>$ of jets with 5 $<p^{ch}_{T,jet}<$ 100 GeV/$c$ as a function of selfnormalised charged-particle multiplicity for different resolution parameters R varied from 0.2 to 0.7, with the charged-particle multiplicities provided in Ref. [67]. Statistical and systematic uncertainties are shown as vertical error bars and boxes around the data points, respectively.

Figure 13

Self-normalised jet yields as a function of the self-normalised charged-particle multiplicity for different resolution parameters R varied from 0.2 to 0.7 in different jet pT intervals: a) 5 $<p^{ch}_{T,jet}<$ 7 GeV/$c$, b) 9 $<p^{ch}_{T,jet}<$ 12 GeV/$c$, c) 30 $<p^{ch}_{T,jet}<$ 50 GeV/$c$, and d) 70 $<p^{ch}_{T,jet}<$ 100 GeV/$c$. The charged-particle multiplicities are taken from Ref. [67]. Statistical and systematic uncertainties are shown as vertical error bars and boxes around the data points, respectively.

Figure A1

Inclusive charged-particle jet cross sections in pp collisions at $\sqrt{s}$ = 13 TeV using the anti-kT algorithm for different jet resolution parameters R from 0.2 to 0.7, without UE subtraction. Statistical uncertainties are displayed as vertical error bars. The total systematic uncertainties are shown as solid boxes around the data points.

Figure A3

Ratio of charged-particle jet cross section for resolution parameter R = 0.2 to other radii R = X, with X ranging from 0.3 to 0.7, without UE subtraction. Data are compared with LO (PYTHIA) and NLO (POWHEG+PYTHIA8) predictions as shown in the bottom panels. The systematic uncertainties of the cross section ratios from data are indicated by solid boxes around data points in the upper panel and shaded bands around unity in the mid and lower panels. No uncertainties are shown for theoretical predictions for better visibility.

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Multiplicity dependence of charged-particle jet production in pp collisions at $\sqrt{s} = 13$ TeV