$A_{N}$ versus $x_{\mathrm{F}}$ for $\mathrm{\pi}^{+}$ in $\mathrm{p}\mathrm{p}$ at $\sqrt{s}=62.4\,\mathrm{Ge\!V}$

$A_{N}$ versus $x_{\mathrm{F}}$ for $\mathrm{\pi}^{-}$ in $\mathrm{p}\mathrm{p}$ at $\sqrt{s}=62.4\,\mathrm{Ge\!V}$

$A_{N}$ versus $x_{\mathrm{F}}$ for $\mathrm{\pi}^{+}$ in $\mathrm{p}\mathrm{p}$ at $\sqrt{s}=62.4\,\mathrm{Ge\!V}$

$A_{N}$ versus $x_{\mathrm{F}}$ for $\mathrm{\pi}^{-}$ in $\mathrm{p}\mathrm{p}$ at $\sqrt{s}=62.4\,\mathrm{Ge\!V}$

$A_{N}$ versus $x_{\mathrm{F}}$ for $\mathrm{\pi}^{+}$ in $\mathrm{p}\mathrm{p}$ at $\sqrt{s}=62.4\,\mathrm{Ge\!V}$

$A_{N}$ versus $x_{\mathrm{F}}$ for $\mathrm{\pi}^{-}$ in $\mathrm{p}\mathrm{p}$ at $\sqrt{s}=62.4\,\mathrm{Ge\!V}$

$A_{N}$ versus $x_{\mathrm{F}}$ for $\mathrm{\pi}^{+}$ in $\mathrm{p}\mathrm{p}$ at $\sqrt{s}=62.4\,\mathrm{Ge\!V}$

$A_{N}$ versus $x_{\mathrm{F}}$ for $\mathrm{\pi}^{-}$ in $\mathrm{p}\mathrm{p}$ at $\sqrt{s}=62.4\,\mathrm{Ge\!V}$

$A_{N}$ versus $x_{\mathrm{F}}$ for $\mathrm{\pi}^{+}$ in $\mathrm{p}\mathrm{p}$ at $\sqrt{s}=62.4\,\mathrm{Ge\!V}$

$A_{N}$ versus $x_{\mathrm{F}}$ for $\mathrm{\pi}^{-}$ in $\mathrm{p}\mathrm{p}$ at $\sqrt{s}=62.4\,\mathrm{Ge\!V}$

$A_{N}$ versus $x_{\mathrm{F}}$ for $\mathrm{\pi}^{+}$ in $\mathrm{p}\mathrm{p}$ at $\sqrt{s}=62.4\,\mathrm{Ge\!V}$

$A_{N}$ versus $x_{\mathrm{F}}$ for $\mathrm{K}^{-}$ in $\mathrm{p}\mathrm{p}$ at $\sqrt{s}=62.4\,\mathrm{Ge\!V}$

$A_{N}$ versus $x_{\mathrm{F}}$ for $\mathrm{K}^{+}$ in $\mathrm{p}\mathrm{p}$ at $\sqrt{s}=62.4\,\mathrm{Ge\!V}$

$A_{N}$ versus $x_{\mathrm{F}}$ for $\mathrm{p}$ in $\mathrm{p}\mathrm{p}$ at $\sqrt{s}=62.4\,\mathrm{Ge\!V}$

CLASS1 (see Table for event classification).

CLASS2 (see Table for event classification).

CLASS2 (see Table for event classification).

CLASS2 (see Table for event classification).

CLASS3 (see Table for event classification).

CLASS3 (see Table for event classification).

CLASS3 (see Table for event classification).

Table for event classification (from CLASS1 to CLASS8) where ZCAL energy s olely used for event selection. Number of Projectile Participants Npp=197*(1-E(P=3)/EKIN(P=1)).

CLASS1 (see Table for event classification).

CLASS2 (see Table for event classification).

CLASS3 (see Table for event classification).

CLASS4 (see Table for event classification).

CLASS5 (see Table for event classification).

CLASS6 (see Table for event classification).

CLASS7 (see Table for event classification).

CLASS8 (see Table for event classification).

Table for event classification (from CLASS1 to CLASS8) where ZCAL energy s olely used for event selection. Number of Projectile Participants Npp=197*(1-E(P=3)/EKIN(P=1)).

CLASS1 (see Table for event classification).

CLASS1 (see Table for event classification).

CLASS1 (see Table for event classification).

CLASS2 (see Table for event classification).

CLASS2 (see Table for event classification).

CLASS2 (see Table for event classification).

CLASS3 (see Table for event classification).

CLASS3 (see Table for event classification).

CLASS3 (see Table for event classification).

Table for event classification (from CLASS1 to CLASS8) where ZCAL energy s olely used for event selection. Number of Projectile Participants Npp=197*(1-E(P=3)/EKIN(P=1)).

CLASS1 (see Table for event classification).

CLASS2 (see Table for event classification).

CLASS3 (see Table for event classification).

CLASS4 (see Table for event classification).

CLASS5 (see Table for event classification).

CLASS6 (see Table for event classification).

CLASS7 (see Table for event classification).

CLASS8 (see Table for event classification).

Table for event classification (from CLASS1 to CLASS8) where ZCAL energy s olely used for event selection. Number of Projectile Participants Npp=197*(1-E(P=3)/EKIN(P=1)).

CLASS1 (see Table for event classification).

CLASS1 (see Table for event classification).

CLASS1 (see Table for event classification).

CLASS2 (see Table for event classification).

CLASS2 (see Table for event classification).

CLASS2 (see Table for event classification).

CLASS3 (see Table for event classification).

CLASS3 (see Table for event classification).

CLASS3 (see Table for event classification).

The $v_{dyn}$ and the three terms of $v_{dyn}$ vs $\sqrt{\langle N_{ch}\rangle \langle N_{\gamma}\rangle }$ for mixed events. $Corr_{\gamma\,-ch}^{real}$ is plotted.

The $v_{dyn}$ and the three terms of $v_{dyn}$ vs $\sqrt{\langle N_{ch}\rangle \langle N_{\gamma}\rangle }$ for mixed events. $Corr_{\gamma\,-ch}^{mixed}$ is plotted.

The $v_{dyn}$ and the three terms of $v_{dyn}$ vs $\sqrt{\langle N_{ch}\rangle \langle N_{\gamma}\rangle }$ for mixed events. $\omega_{\gamma}^{real}$ is plotted.

The $v_{dyn}$ and the three terms of $v_{dyn}$ vs $\sqrt{\langle N_{ch}\rangle \langle N_{\gamma}\rangle }$ for mixed events. $\omega_{\gamma}^{mixed}$ is plotted.

The $v_{dyn}$ and the three terms of $v_{dyn}$ vs $\sqrt{\langle N_{ch}\rangle \langle N_{\gamma}\rangle }$ for mixed events. $v_{dyn}^{real}$ is plotted.

The $v_{dyn}$ and the three terms of $v_{dyn}$ vs $\sqrt{\langle N_{ch}\rangle \langle N_{\gamma}\rangle }$ for mixed events. $v_{dyn}^{mixed}$ is plotted.

The values of the observable $v_{dyn}^{ch-\gamma}$ for the same side.

The values of the observable $v_{dyn}^{ch-\gamma}$ for the same side.

The values of the observable $v_{dyn}^{ch-\gamma}$ for the away-side.

The values of the observable $v_{dyn}^{ch-\gamma}$ for the away-side.

The correlation between positive and negative charged particles measured by the FTPC and photons measured by the PMD using $v_{dyn}$ for real events.

$r_{m,1}$ vs multiplicity for first order of m.

$r_{m,1}$ vs multiplicity for first order of m.

$r_{m,1}$ vs multiplicity for second order of m.

$r_{m,1}$ vs multiplicity for second order of m.

$r_{m,1}$ vs multiplicity for third order of m.

$r_{m,1}$ vs multiplicity for third order of m.

The moments $r_{m,1}$(m=1-3) for real and mixed events as a function of order m in a fixed multiplicity bin of 47$\langle \sqrt{\langle N_{ch}\rangle \langle N_{\gamma}\rangle }\langle 54$.

The CP-averaged observable S3 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The CP-averaged observable S4 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The CP-averaged observable S5 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The CP-averaged observable Afb versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The CP-averaged observable S7 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The CP-averaged observable S8 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The CP-averaged observable S9 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable Fl versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable P1 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable P2 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable P3 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable P4' versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable P5' versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable P6' versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable P8' versus q2. The first (second) error bars represent the statistical (total) uncertainties.

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 0.10 < q2 < 0.98 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 1.10 < q2 < 2.50 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 2.50 < q2 < 4.00 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 4.00 < q2 < 6.00 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 6.00 < q2 < 8.00 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 11.00 < q2 < 12.50 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 15.00 < q2 < 17.00 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 17.00 < q2 < 19.00 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 1.10 < q2 < 6.00 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 15.00 < q2 < 19.00 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 0.10 < q2 < 0.98 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 1.10 < q2 < 2.50 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 2.50 < q2 < 4.00 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 4.00 < q2 < 6.00 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 6.00 < q2 < 8.00 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 11.00 < q2 < 12.50 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 15.00 < q2 < 17.00 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 17.00 < q2 < 19.00 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 1.10 < q2 < 6.00 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 15.00 < q2 < 19.00 GeV2/c4

IRing2 for HT2>=500 GeV, NJets>=5

IRing2 for HT2>=1000 GeV, NJets>=2

IRing2 for HT2>=1000 GeV, NJets>=3

IRing2 for HT2>=1000 GeV, NJets>=4

IRing2 for HT2>=1000 GeV, NJets>=5

IRing2 for HT2>=1500 GeV, NJets>=2

IRing2 for HT2>=1500 GeV, NJets>=3

IRing2 for HT2>=1500 GeV, NJets>=4

IRing2 for HT2>=1500 GeV, NJets>=5

IRing128 for HT2>=500 GeV, NJets>=2

IRing128 for HT2>=500 GeV, NJets>=3

IRing128 for HT2>=500 GeV, NJets>=4

IRing128 for HT2>=500 GeV, NJets>=5

IRing128 for HT2>=1000 GeV, NJets>=2

IRing128 for HT2>=1000 GeV, NJets>=3

IRing128 for HT2>=1000 GeV, NJets>=4

IRing128 for HT2>=1000 GeV, NJets>=5

IRing128 for HT2>=1500 GeV, NJets>=2

IRing128 for HT2>=1500 GeV, NJets>=3

IRing128 for HT2>=1500 GeV, NJets>=4

IRing128 for HT2>=1500 GeV, NJets>=5

ICyl16 for HT2>=500 GeV, NJets>=2

ICyl16 for HT2>=500 GeV, NJets>=3

ICyl16 for HT2>=500 GeV, NJets>=4

ICyl16 for HT2>=500 GeV, NJets>=5

ICyl16 for HT2>=1000 GeV, NJets>=2

ICyl16 for HT2>=1000 GeV, NJets>=3

ICyl16 for HT2>=1000 GeV, NJets>=4

ICyl16 for HT2>=1000 GeV, NJets>=5

ICyl16 for HT2>=1500 GeV, NJets>=2

ICyl16 for HT2>=1500 GeV, NJets>=3

ICyl16 for HT2>=1500 GeV, NJets>=4

ICyl16 for HT2>=1500 GeV, NJets>=5

IRing2 covariance for HT2>=500 GeV, NJets>=2 (Table 1)

IRing2 covariance for HT2>=500 GeV, NJets>=3 (Table 2)

IRing2 covariance for HT2>=500 GeV, NJets>=4 (Table 3)

IRing2 covariance for HT2>=500 GeV, NJets>=5 (Table 4)

IRing2 covariance for HT2>=1000 GeV, NJets>=2 (Table 5)

IRing2 covariance for HT2>=1000 GeV, NJets>=3 (Table 6)

IRing2 covariance for HT2>=1000 GeV, NJets>=4 (Table 7)

IRing2 covariance for HT2>=1000 GeV, NJets>=5 (Table 8)

IRing2 covariance for HT2>=1500 GeV, NJets>=2 (Table 9)

IRing2 covariance for HT2>=1500 GeV, NJets>=3 (Table 10)

IRing2 covariance for HT2>=1500 GeV, NJets>=4 (Table 11)

IRing2 covariance for HT2>=1500 GeV, NJets>=5 (Table 12)

IRing128 covariance for HT2>=500 GeV, NJets>=2 (Table 13)

IRing128 covariance for HT2>=500 GeV, NJets>=3 (Table 14)

IRing128 covariance for HT2>=500 GeV, NJets>=4 (Table 15)

IRing128 covariance for HT2>=500 GeV, NJets>=5 (Table 16)

IRing128 covariance for HT2>=1000 GeV, NJets>=2 (Table 17)

IRing128 covariance for HT2>=1000 GeV, NJets>=3 (Table 18)

IRing128 covariance for HT2>=1000 GeV, NJets>=4 (Table 19)

IRing128 covariance for HT2>=1000 GeV, NJets>=5 (Table 20)

IRing128 covariance for HT2>=1500 GeV, NJets>=2 (Table 21)

IRing128 covariance for HT2>=1500 GeV, NJets>=3 (Table 22)

IRing128 covariance for HT2>=1500 GeV, NJets>=4 (Table 23)

IRing128 covariance for HT2>=1500 GeV, NJets>=5 (Table 24)

ICyl16 covariance for HT2>=500 GeV, NJets>=2 (Table 25)

ICyl16 covariance for HT2>=500 GeV, NJets>=3 (Table 26)

ICyl16 covariance for HT2>=500 GeV, NJets>=4 (Table 27)

ICyl16 covariance for HT2>=500 GeV, NJets>=5 (Table 28)

ICyl16 covariance for HT2>=1000 GeV, NJets>=2 (Table 29)

ICyl16 covariance for HT2>=1000 GeV, NJets>=3 (Table 30)

ICyl16 covariance for HT2>=1000 GeV, NJets>=4 (Table 31)

ICyl16 covariance for HT2>=1000 GeV, NJets>=5 (Table 32)

ICyl16 covariance for HT2>=1500 GeV, NJets>=2 (Table 33)

ICyl16 covariance for HT2>=1500 GeV, NJets>=3 (Table 34)

ICyl16 covariance for HT2>=1500 GeV, NJets>=4 (Table 35)

ICyl16 covariance for HT2>=1500 GeV, NJets>=5 (Table 36)

IRing2 covariance, complete

1-IRing128 covariance, complete

1-ICyl16 covariance, complete

The centrality selection at each beam energy is the most central 5% of the total interaction cross-section (SIG(C=interaction) = 6.8b). The spectra were fit with a scaled exponential, D2(N)/D(YRAP)/D(MT)/2/PI/MT=D(N)/D(YRAP)/2/PI/(T**(2-L))/GAMMA(2-L,M(PION)/T)/MT**L/EXP(MT/T), where GAMMA(2-L,M(PION)/T), the complementary incomplete gamma function, is introduced in the normalization so that D(N)/D(YRAP) is a fitted parameter (and other free parameters are L and T). The mid-rapidity range for 2, 4 (E866 data), 6, 8 AGeV (E917 data) beam energy is ABS((YRAP-Ynn)/Ynn) < 0.25, for 10.7 AGeV (E917 data) the width is ABS((YRAP-Ynn)/Ynn) <0.125, where Ynn is mid-rapidity in the laboratory frame. The errors are statistical only.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles emittedon an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.7 < ETA RAP < 2.02, is subdivided into eight nominally equal bins of 0.16 in pseudo rapidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.22 < ET ARAP < 2.5, is subdivided into eight nominally equal bins of 0.16 in pseudo rapidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.38 < ET ARAP < 2.34, is subdivided into eight nominally equal bins of 0.16 in pseud orapidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.54 < ET ARAP < 2.18, is subdivided into eight nominally equal bins of 0.16 in pseud orapidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.7 < ETA RAP < 2.02, is subdivided into eight nominally equal bins of 0.16 in pseudo rapidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.22 < ET ARAP < 2.5, is subdivided into eight nominally equal bins of 0.16 in pseudo rapidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.38 < ET ARAP < 2.34, is subdivided into eight nominally equal bins of 0.16 in pseud orapidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.54 < ET ARAP < 2.18, is subdivided into eight nominally equal bins of 0.16 in pseud orapidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.7 < ETA RAP < 2.02, is subdivided into eight nominally equal bins of 0.16 in pseudo rapidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.22 < ET ARAP < 2.5, is subdivided into eight nominally equal bins of 0.16 in pseudo rapidity. ET distributions define centrality, tipically by a certain upper perc entile of the distribution. In the table centrality denoted as ZCAL(Zero de gree CALorimeter).

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.38 < ET ARAP < 2.34, is subdivided into eight nominally equal bins of 0.16 in pseud orapidity. ET distributions define centrality, tipically by a certain upper perc entile of the distribution. In the table centrality denoted as ZCAL(Zero de gree CALorimeter).

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.54 < ET ARAP < 2.18, is subdivided into eight nominally equal bins of 0.16 in pseud orapidity. ET distributions define centrality, tipically by a certain upper perc entile of the distribution. In the table centrality denoted as ZCAL(Zero de gree CALorimeter).

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.7 < ETA RAP < 2.02, is subdivided into eight nominally equal bins of 0.16 in pseudo rapidity. ET distributions define centrality, tipically by a certain upper perc entile of the distribution. In the table centrality denoted as ZCAL(Zero de gree CALorimeter).

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.22 < ET ARAP < 2.5, is subdivided into eight nominally equal bins of 0.16 in pseudo rapidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.38 < ET ARAP < 2.34, is subdivided into eight nominally equal bins of 0.16 in pseud orapidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.54 < ET ARAP < 2.18, is subdivided into eight nominally equal bins of 0.16 in pseud orapidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.7 < ETA RAP < 2.02, is subdivided into eight nominally equal bins of 0.16 in pseudo rapidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.22 ETAR AP < 2.50, is subdivided into eight nominally equal bins of 0.16 in pseudor apidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.38 ETAR AP < 2.34, is subdivided into eight nominally equal bins of 0.16 in pseudor apidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.54 ETAR AP < 2.18, is subdivided into eight nominally equal bins of 0.16 in pseudor apidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.7 ETARA P < 2.02, is subdivided into eight nominally equal bins of 0.16 in pseudora pidity.

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.22 ETAR AP < 2.50, is subdivided into eight nominally equal bins of 0.16 in pseudor apidity. ET distributions define centrality, tipically by a certain upper perc entile of the distribution. In the table centrality denoted as ZCAL(Zero de gree CALorimeter).

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.38 ETAR AP < 2.34, is subdivided into eight nominally equal bins of 0.16 in pseudor apidity. ET distributions define centrality, tipically by a certain upper perc entile of the distribution. In the table centrality denoted as ZCAL(Zero de gree CALorimeter).

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.54 ETAR AP < 2.18, is subdivided into eight nominally equal bins of 0.16 in pseudor apidity. ET distributions define centrality, tipically by a certain upper perc entile of the distribution. In the table centrality denoted as ZCAL(Zero de gree CALorimeter).

ET is defined as the sum of Ei*Sin(THETAi) taken over all particles em itted on an event. The full ETARAP acceptance of the half-azimuth calorimeter, 1.7 ETARA P < 2.02, is subdivided into eight nominally equal bins of 0.16 in pseudora pidity. ET distributions define centrality, tipically by a certain upper perc entile of the distribution. In the table centrality denoted as ZCAL(Zero de gree CALorimeter).

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