$R_{pPb}$ as a function of $p_{T}$ integrated over rapidity range $-1.8<y*<1.3$ for the 0--90% centrality interval for the three geometric models: (a) Glauber, (b) Glauber-Gribov with $\omega_{\sigma}=0.11$ and (c) Glauber-Gribov with $\omega_{\sigma}=0.2$.

$R_{pPb}$ values as a function of $p_{T}$ in the 0--90% centrality interval averaged over $|y*|<0.5$.The $\langle T_{Pb} \rangle$ value for the ATLAS centrality correction is calculated with the Glauber model. The total systematic uncertainties, which include the uncertainty in $\langle T_{Pb} \rangle$, are indicated by lines of the same colour. Strict quantitative agreement is not expected as each measurement uses different rapidity intervals for the centrality determination and apply different event selection criteria to reject diffractive collisions.

$R_{pPb}$ 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 $\langle T_{Pb} \rangle$.

$R_{pPb}$ 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 $\langle T_{Pb} \rangle$.

$R_{pPb}$ 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 $\langle T_{Pb} \rangle$.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 2760 GeV.

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 7000 GeV.

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 7000 GeV.

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 900 GeV for multiplicity class 1 (Nrec=0-9).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 900 GeV for multiplicity class 1 (Nrec=0-9).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 2760 GeV for multiplicity class 1 (Nrec=0-9).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 2760 GeV for multiplicity class 1 (Nrec=0-9).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 7000 GeV for multiplicity class 1 (Nrec=0-9).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 7000 GeV for multiplicity class 1 (Nrec=0-9).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 900 GeV for multiplicity class 2 (Nrec=10-19).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 900 GeV for multiplicity class 2 (Nrec=10-19).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 2760 GeV for multiplicity class 2 (Nrec=10-19).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 2760 GeV for multiplicity class 2 (Nrec=10-19).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 7000 GeV for multiplicity class 2 (Nrec=10-19).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 7000 GeV for multiplicity class 2 (Nrec=10-19).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 900 GeV for multiplicity class 3 (Nrec=20-29).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 900 GeV for multiplicity class 3 (Nrec=20-29).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 2760 GeV for multiplicity class 3 (Nrec=20-29).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 2760 GeV for multiplicity class 3 (Nrec=20-29).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 7000 GeV for multiplicity class 3 (Nrec=20-29).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 7000 GeV for multiplicity class 3 (Nrec=20-29).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 900 GeV for multiplicity class 4 (Nrec=30-39).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 900 GeV for multiplicity class 4 (Nrec=30-39).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 2760 GeV for multiplicity class 4 (Nrec=30-39).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 2760 GeV for multiplicity class 4 (Nrec=30-39).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 7000 GeV for multiplicity class 4 (Nrec=30-39).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 7000 GeV for multiplicity class 4 (Nrec=30-39).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 900 GeV for multiplicity class 5 (Nrec=40-49).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 900 GeV for multiplicity class 5 (Nrec=40-49).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 2760 GeV for multiplicity class 5 (Nrec=40-49).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 2760 GeV for multiplicity class 5 (Nrec=40-49).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 7000 GeV for multiplicity class 5 (Nrec=40-49).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 7000 GeV for multiplicity class 5 (Nrec=40-49).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 900 GeV for multiplicity class 6 (Nrec=50-59).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 900 GeV for multiplicity class 6 (Nrec=50-59).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 2760 GeV for multiplicity class 6 (Nrec=50-59).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 2760 GeV for multiplicity class 6 (Nrec=50-59).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 7000 GeV for multiplicity class 6 (Nrec=50-59).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 7000 GeV for multiplicity class 6 (Nrec=50-59).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 900 GeV for multiplicity class 7 (Nrec=60-69).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 900 GeV for multiplicity class 7 (Nrec=60-69).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 2760 GeV for multiplicity class 7 (Nrec=60-69).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 2760 GeV for multiplicity class 7 (Nrec=60-69).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 7000 GeV for multiplicity class 7 (Nrec=60-69).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 7000 GeV for multiplicity class 7 (Nrec=60-69).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 2760 GeV for multiplicity class 8 (Nrec=70-79).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 2760 GeV for multiplicity class 8 (Nrec=70-79).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 7000 GeV for multiplicity class 8 (Nrec=70-79).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 7000 GeV for multiplicity class 8 (Nrec=70-79).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 2760 GeV for multiplicity class 9 (Nrec=80-89).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 2760 GeV for multiplicity class 9 (Nrec=80-89).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 7000 GeV for multiplicity class 9 (Nrec=80-89).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 7000 GeV for multiplicity class 9 (Nrec=80-89).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 7000 GeV for multiplicity class 10 (Nrec=90-99).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 7000 GeV for multiplicity class 10 (Nrec=90-99).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 7000 GeV for multiplicity class 11 (Nrec=100-109).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 7000 GeV for multiplicity class 11 (Nrec=100-109).

Measured transverse momentum distributions of identified charged hadrons (PI+, K+ and P) and at a centre-of-mass energy of 7000 GeV for multiplicity class 12 (Nrec=110-119).

Measured transverse momentum distributions of identified charged hadrons (PI-, K- and PBAR) and at a centre-of-mass energy of 7000 GeV for multiplicity class 12 (Nrec=110-119).

Tsallis-Pareto-type fits to the PI+ data at a centre-of-mass energy of 900 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the PI- data at a centre-of-mass energy of 900 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the K+ data at a centre-of-mass energy of 900 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the K- data at a centre-of-mass energy of 900 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the P data at a centre-of-mass energy of 900 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the PBAR data at a centre-of-mass energy of 900 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the PI+ data at a centre-of-mass energy of 2760 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the PI- data at a centre-of-mass energy of 2760 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the K+ data at a centre-of-mass energy of 2760 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the K- data at a centre-of-mass energy of 2760 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the P data at a centre-of-mass energy of 2760 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the PBAR data at a centre-of-mass energy of 2760 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the PI+ data at a centre-of-mass energy of 7000 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the PI- data at a centre-of-mass energy of 7000 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the K+ data at a centre-of-mass energy of 7000 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the K- data at a centre-of-mass energy of 7000 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the P data at a centre-of-mass energy of 7000 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

Tsallis-Pareto-type fits to the PBAR data at a centre-of-mass energy of 7000 GeV tabulated as a function of the multiplicity class Fit A - using the combined statistical and systematic error. Fit B - using the systematic error only as the statistical error is small.

The transverse momentum production spectra per NSD event spectra for LAMBDA mesons at 0.9 and 7 TeV.

The rapidity production spectra per NSD event spectra for XI- mesons at 0.9 and 7 TeV.

The transverse momentum production spectra per NSD event spectra for XI- mesons at 0.9 and 7 TeV.

Ratio of production rates per NSD event for LAMBDA and KS events as a function of transverse momentum.

Ratio of production rates per NSD event for XI- and LAMBDA events as a function of transverse momentum.

Ratio of production rates per NSD event for LAMBDA and KS events as a function of rapidity.

Ratio of production rates per NSD event for XI- and LAMBDA events as a function of rapidity.

Results from fitting the Tsallis function to the data at 0.9 TeV. See text of paper for details.

Results from fitting the Tsallis function to the data at 7 TeV. See text of paper for details.

Mean PT obtained from the DN/DPT distributions.

The central rapidity production rate and the integrated yields per NSD event at 0.9 TeV for |rapidity| < 2.

The central rapidity production rate and the integrated yields per NSD event at 7 TeV for |rapidity| < 2.

The dimuon yield from Z0 decays per unit rapidity and per unit minumum bias event as a function of centrality, and the nuclear modificationfactor RAA derived by using a POWHEG proton-proton reference.

The total mean multiplicities.

PI- transverse mass spectra, in the midrapidity region 0.0 > y > 0.2, from PB PB collisions at incident beam momentum 40 GeV/nucleon.

PI- transverse mass spectra, in the midrapidity region 0.0 > y > 0.2, from PB PB collisions at incident beam momentum 80 GeV/nucleon.

PI- transverse mass spectra, in the midrapidity region 0.0 > y > 0.2, from PB PB collisions at incident beam momentum 158 GeV/nucleon.

K+ transverse mass spectra, in the midrapidity region -0.1 > y > 0.1, from PB PB collisions at incident beam momentum 40 GeV/nucleon.

K+ transverse mass spectra, in the midrapidity region -0.1 > y > 0.1, from PB PB collisions at incident beam momentum 80 GeV/nucleon.

K+ transverse mass spectra, in the midrapidity region -0.1 > y > 0.1, from PB PB collisions at incident beam momentum 158 GeV/nucleon.

K- transverse mass spectra, in the midrapidity region -0.1 > y > 0.1, from PB PB collisions at incident beam momentum 40 GeV/nucleon.

K- transverse mass spectra, in the midrapidity region -0.1 > y > 0.1, from PB PB collisions at incident beam momentum 80 GeV/nucleon.

K- transverse mass spectra, in the midrapidity region -0.1 > y > 0.1, from PB PB collisions at incident beam momentum 158 GeV/nucleon.

PI- rapidity spectra from PB PB collisions at incident beam momentum 40 GeV/nucleon.

PI- rapidity spectra from PB PB collisions at incident beam momentum 80 GeV/nucleon.

PI- rapidity spectra from PB PB collisions at incident beam momentum 158 GeV/nucleon.

K+ rapidity spectra from PB PB collisions at incident beam momentum 40 GeV/nucleon.

K+ rapidity spectra from PB PB collisions at incident beam momentum 80 GeV/nucleon.

K+ rapidity spectra from PB PB collisions at incident beam momentum 158 GeV/nucleon.

K- rapidity spectra from PB PB collisions at incident beam momentum 40 GeV/nucleon.

K- rapidity spectra from PB PB collisions at incident beam momentum 80 GeV/nucleon.

K- rapidity spectra from PB PB collisions at incident beam momentum 158 GeV/nucleon.

Total pion multiplicity per wounded nucleon as a function of Fermi. s energy measure, for central NUCLEUS NUCLEUS collisions.. The commmon systematic error on the NA49 points is +-5%.

Total pion multiplicity for all inelastic PBAR P collisions from the compilation presented in Gazdzicki and Rohrich ZP C65(95)215, C71(96)55.

Total pion multiplicity for all inelastic P P collisions from the compilation presented in Gazdzicki and Rohrich ZP C65(95)215, C71(96)55. Statistical errors (not given) are in the range 1-3%).

The energy dependence of the K+/PI+ ratio at y = 0 in PB PB and AU AU collisions. This table includes the present NA49 data as well as other data CT.= The commmon systematic error on the NA49 points is +-7%. including PHENIX and AGS data.

The energy dependence of the K-/PI- ratio at y = 0 in PB PB and AU AU collisions. This table includes the present NA49 data as well as other data includingPHENIX and AGS data, and preliminary E895 data.. The commmon systematic error on the NA49 points is +-7%.

The energy dependence of the ratio of the K+ to PI+ multiplicities in full phase space from PB PB and AU AU collisions. This table includes the present NA49 data as well as other data including AGS data.. The commmon systematic error on the NA49 points is +-7%.

A compilation of the energy dependence of the ratio of the K+ to PI+ multiplicities in full phase space from P P interactions.

The energy dependence of the ratio of the K- to PI- multiplicities in full phase space from PB PB and AU AU collisions. This table includes the present NA49 data as well as other data including AGS data.. The commmon systematic error on the NA49 points is +-7%.

The energy dependence of the K-/K+ ratio at y = 0 in PB PB and AU AU collisions. This table includes the present NA49 data as well as other data including PHENIX, PHOBOS and AGS data.. The commmon systematic error on the NA49 points is +-7%.

The energy dependence of the ratio of the LAMBDA + (KAON+KAONBAR) muliplicity total PION (PI+ + PI- + PI0) multiplicity in central PB PB and AU AU collisions. This table includes the present NA49 data as well as other data including AGS data.. The commmon systematic error on the NA49 points is +-7%.

A compilation of the energy dependence of the ratio of the LAMBDA + (KAON+KAONBAR) muliplicity to total PION (PI+ + PI- + PI0) multiplicity in P P collisions.

Rapidity distributions for PHI mesons produced in P P collisions.

Integrated yields of PHI and PI mesons and their ratio.

Multiplicity dependence of the PHI/PI ratio in P P collisions.

Centrality dependence of the PHI/PI ratio in the forward hemisphere in P PBcollisions normalised to the average P P values. Here N(C=CD) is the number emi tted in the backward direction in P PB collisions and is essentially related to the mean number of collisions of the projectile in the target.

(C=GLUON) and (C=QUARK) stand for jets originated from gluon and any light quark (Q=u, d, s), correspondingly. The ratio of gluon to quark jets are evaluated for 40.1 GeV jet energy. PT is charged particle transverse momentum with respect to the jet axis.

(C=GLUON) and (C=QUARK) stand for jets originated from gluon and any light quark (Q=u, d, s), correspondingly. The ratio of gluon to quark jets are evaluated for 40.1 GeV jet energy. PT is charged particle transverse momentum with respect to the jet axis.

(C=GLUON) and (C=QUARK) stand for jets originated from gluon and any light quark (Q=u, d, s), correspondingly.

(C=GLUON) and (C=QUARK) stand for jets originated from gluon and any light quark (Q=u, d, s), correspondingly.

(C=GLUON) and (C=QUARK) stand for jets originated from gluon and any light quark (Q=u, d, s), correspondingly.

(C=GLUON) and (C=QUARK) stand for jets originated from gluon and any light quark (Q=u, d, s), correspondingly.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 1916.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 321.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 971.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 1628.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 2135.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 1916.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 321.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 1564.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 754.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 502.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 343.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 62.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 1564.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 754.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 502.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 343.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 62.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 714.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 359.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 263.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 165.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 9.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 714.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 359.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 263.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 165.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 9.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 174.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 101.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 75.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 60.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 6.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 174.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 101.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 75.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 60.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 6.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 1067.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 474.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 343.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 252.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 33.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 1067.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 474.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 343.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 252.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 33.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 959.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 588.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 478.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 384.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 41.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 959.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 588.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 478.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 384.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 41.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 302.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 506.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 573.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 604.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 99.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 302.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 506.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 573.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 604.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 99.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 935.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 553.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 429.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 304.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 44.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 935.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 553.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 429.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 304.

THE STATISTICAL ERROR OF THE DATA CAN BE OBTAINED AS SQRT(D(N)/ D(YRAP)/NF) WHERE THE NORMALIZATION FACTOR NF = 44.