CERN Accelerating science

 
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\small The multiplicity distribution in $\eta$ bins (shown as points with statistical error bars) with predictions of different event generators. The inner error bar represents the statistical uncertainty and the outer error bar represents the systematic and statistical uncertainty on the measurements. The data in both figures are identical with predictions from \pythia6, \phojet and \pythia8 in (a) and predictions of the \pythia6 Perugia tunes with and without diffraction in (b).
\small The multiplicity distribution in $\eta$ bins (shown as points with statistical error bars) with predictions of different event generators. The inner error bar represents the statistical uncertainty and the outer error bar represents the systematic and statistical uncertainty on the measurements. The data in both figures are identical with predictions from \pythia6, \phojet and \pythia8 in (a) and predictions of the \pythia6 Perugia tunes with and without diffraction in (b).
\small The multiplicity distribution in the forward $\eta$ range (shown as points with error bars) with predictions of different event generators. The shaded bands represent the total uncertainty on the measurements. The data in both figures are identical with predictions from \pythia6, \phojet and \pythia8 in (a) and predictions of the \pythia6 Perugia tunes with and without diffraction in (b).
\small The multiplicity distribution in the forward $\eta$ range (shown as points with error bars) with predictions of different event generators. The shaded bands represent the total uncertainty on the measurements. The data in both figures are identical with predictions from \pythia6, \phojet and \pythia8 in (a) and predictions of the \pythia6 Perugia tunes with and without diffraction in (b).
\small The KNO distributions in different bins of $\eta$. Only the the statistical uncertainties are shown.
\small The charged particle densities as a function of $\eta$ (shown as points with statistical error bars) and comparisons with predictions of event generators, as indicated in the key. The shaded bands represent the total uncertainty. The events are selected by requiring at least one charged particle in the range $2.0<\eta<4.5$. The data in both figures are identical with predictions from \pythia6, \phojet and \pythia8 in (a) and predictions of the \pythia6 Perugia tunes with and without diffraction in (b).
\small The charged particle densities as a function of $\eta$ (shown as points with statistical error bars) and comparisons with predictions of event generators, as indicated in the key. The shaded bands represent the total uncertainty. The events are selected by requiring at least one charged particle in the range $2.0<\eta<4.5$. The data in both figures are identical with predictions from \pythia6, \phojet and \pythia8 in (a) and predictions of the \pythia6 Perugia tunes with and without diffraction in (b).
\small The multiplicity distribution in $\eta$ bins (shown as points with error bars) with predictions of different event generators. The inner error bar represents the statistical uncertainty and the outer error bar represents the systematic and statistical uncertainty on the measurements. The events have at least one track with a $\pt >1.0$\gevc in the pseudorapidity range $2.5 < \eta < 4.5$. The data in both figures are identical with predictions from \pythia6, \phojet and \pythia8 in (a) and predictions of the \pythia6 Perugia tunes in (b).
\small The multiplicity distribution in $\eta$ bins (shown as points with error bars) with predictions of different event generators. The inner error bar represents the statistical uncertainty and the outer error bar represents the systematic and statistical uncertainty on the measurements. The events have at least one track with a $\pt >1.0$\gevc in the pseudorapidity range $2.5 < \eta < 4.5$. The data in both figures are identical with predictions from \pythia6, \phojet and \pythia8 in (a) and predictions of the \pythia6 Perugia tunes in (b).
\small The multiplicity distribution in the forward $\eta$ range (shown as points with statistical error bars) with predictions of different event generators. The shaded bands represent the total uncertainty. The events have at least one track with a $\pt >1.0$\gevc in the pseudorapidity range $2.5 < \eta < 4.5$. The data in both figures are identical with predictions from \pythia6, \phojet and \pythia8 in (a) and predictions of the \pythia6 Perugia tunes in (b).
\small The multiplicity distribution in the forward $\eta$ range (shown as points with statistical error bars) with predictions of different event generators. The shaded bands represent the total uncertainty. The events have at least one track with a $\pt >1.0$\gevc in the pseudorapidity range $2.5 < \eta < 4.5$. The data in both figures are identical with predictions from \pythia6, \phojet and \pythia8 in (a) and predictions of the \pythia6 Perugia tunes in (b).
\small The data charged particle densities as a function of $\eta$ (shown as points with statistical error bars) and comparisons with predictions of event generators, as indicated in the key. The events have at least one track with a $\pt >1.0$\gevc in the pseudorapidity range $2.5 < \eta < 4.5$. The shaded bands represent the total uncertainty.
\small The data charged particle densities as a function of $\eta$ (shown as points with statistical error bars) and comparisons with predictions of event generators, as indicated in the key. The events have at least one track with a $\pt >1.0$\gevc in the pseudorapidity range $2.5 < \eta < 4.5$. The shaded bands represent the total uncertainty.