Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 0.15 GeV, for centrality 30-50%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 0.15 GeV, for centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 5 GeV, for centrality 0-10%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 5 GeV, for centrality 10-30%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 5 GeV, for centrality 30-50%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 5 GeV, for centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 10 GeV, for centrality 0-10%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 10 GeV, for centrality 10-30%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 10 GeV, for centrality 30-50%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 10 GeV, for centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Ratio of charged jet spectra with leading track selection of pT > 0.15 GeV to pT > 5 GeV using two cone radius parameters R = 0.2 and 0.3, for centrality 0-10%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Ratio of charged jet spectra with leading track selection of pT > 0.15 GeV to pT > 5 GeV using two cone radius parameters R = 0.2 and 0.3, for centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Ratio of charged jet spectra with leading track selection of pT > 10 GeV to pT > 5 GeV using two cone radius parameters R = 0.2 and 0.3, for centrality 0-10%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Ratio of charged jet spectra with leading track selection of pT > 10 GeV to pT > 5 GeV using two cone radius parameters R = 0.2 and 0.3, for centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 0.15 GeV. Central collisions are defined to have centrality 0-10% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 0.15 GeV. Central collisions are defined to have centrality 10-30% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 0.15 GeV. Central collisions are defined to have centrality 30-50% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 5 GeV. Central collisions are defined to have centrality 0-10% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 5 GeV. Central collisions are defined to have centrality 10-30% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 5 GeV. Central collisions are defined to have centrality 30-50% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 10 GeV. Central collisions are defined to have centrality 0-10% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 10 GeV. Central collisions are defined to have centrality 10-30% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 10 GeV. Central collisions are defined to have centrality 30-50% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, as a function of the average number of participants in the collision (<Npart>), for charged jets with pT = 60-70 GeV and either R = 0.2 or R = 0.3 and a leading charged particle with pT > 0.15 GeV. The correspondence between <Npart> and the centrality classes is given in Table 1 of the paper, and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, as a function of the average number of participants in the collision (<Npart>), for charged jets with pT = 60-70 GeV and either R = 0.2 or R = 0.3 and a leading charged particle with pT > 5 GeV. The correspondence between <Npart> and the centrality classes is given in Table 1 of the paper, and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, as a function of the average number of participants in the collision (<Npart>), for charged jets with pT = 60-70 GeV and either R = 0.2 or R = 0.3 and a leading charged particle with pT > 10 GeV. The correspondence between <Npart> and the centrality classes is given in Table 1 of the paper, and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Ratio of charged jet pT-spectra with radius parameter R = 0.2 and 0.3 and a leading charged particle with pT > 5 GeV, for two centrality classes 0-10% and 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

FIG. 1. (Color online) Perspective views of $2 \mathrm{D}$ charge-independent angular correlations $\Delta \rho / \sqrt{\rho_{\mathrm{ref}}}$ on $\left(\eta_{\Delta}, \phi_{\Delta}\right)$ for Au-Au collisions at $\sqrt{s_{N N}}=200$ and $62 \mathrm{GeV}$ (top and bottom rows, respectively). Centrality increases left to right from most peripheral to most central. Corrected total cross-section fractions are (left to right) $84 \%-93 \%, 55 \%-64 \%, 18 \%-28 \%,$ and $0 \%-5 \%$ for the $200-\mathrm{GeV}$ data and $84 \%-95 \%, 56 \%-65 \%$ $18 \%-28 \%,$ and $0 \%-5 \%$ for the $62 \mathrm{GeV}$ data (see Tables III and IV).

FIG. 1. (Color online) Perspective views of $2 \mathrm{D}$ charge-independent angular correlations $\Delta \rho / \sqrt{\rho_{\mathrm{ref}}}$ on $\left(\eta_{\Delta}, \phi_{\Delta}\right)$ for Au-Au collisions at $\sqrt{s_{N N}}=200$ and $62 \mathrm{GeV}$ (top and bottom rows, respectively). Centrality increases left to right from most peripheral to most central. Corrected total cross-section fractions are (left to right) $84 \%-93 \%, 55 \%-64 \%, 18 \%-28 \%,$ and $0 \%-5 \%$ for the $200-\mathrm{GeV}$ data and $84 \%-95 \%, 56 \%-65 \%$ $18 \%-28 \%,$ and $0 \%-5 \%$ for the $62 \mathrm{GeV}$ data (see Tables III and IV).

FIG. 1. (Color online) Perspective views of $2 \mathrm{D}$ charge-independent angular correlations $\Delta \rho / \sqrt{\rho_{\mathrm{ref}}}$ on $\left(\eta_{\Delta}, \phi_{\Delta}\right)$ for Au-Au collisions at $\sqrt{s_{N N}}=200$ and $62 \mathrm{GeV}$ (top and bottom rows, respectively). Centrality increases left to right from most peripheral to most central. Corrected total cross-section fractions are (left to right) $84 \%-93 \%, 55 \%-64 \%, 18 \%-28 \%,$ and $0 \%-5 \%$ for the $200-\mathrm{GeV}$ data and $84 \%-95 \%, 56 \%-65 \%$ $18 \%-28 \%,$ and $0 \%-5 \%$ for the $62 \mathrm{GeV}$ data (see Tables III and IV).

FIG. 1. (Color online) Perspective views of $2 \mathrm{D}$ charge-independent angular correlations $\Delta \rho / \sqrt{\rho_{\mathrm{ref}}}$ on $\left(\eta_{\Delta}, \phi_{\Delta}\right)$ for Au-Au collisions at $\sqrt{s_{N N}}=200$ and $62 \mathrm{GeV}$ (top and bottom rows, respectively). Centrality increases left to right from most peripheral to most central. Corrected total cross-section fractions are (left to right) $84 \%-93 \%, 55 \%-64 \%, 18 \%-28 \%,$ and $0 \%-5 \%$ for the $200-\mathrm{GeV}$ data and $84 \%-95 \%, 56 \%-65 \%$ $18 \%-28 \%,$ and $0 \%-5 \%$ for the $62 \mathrm{GeV}$ data (see Tables III and IV).

FIG. 1. (Color online) Perspective views of $2 \mathrm{D}$ charge-independent angular correlations $\Delta \rho / \sqrt{\rho_{\mathrm{ref}}}$ on $\left(\eta_{\Delta}, \phi_{\Delta}\right)$ for Au-Au collisions at $\sqrt{s_{N N}}=200$ and $62 \mathrm{GeV}$ (top and bottom rows, respectively). Centrality increases left to right from most peripheral to most central. Corrected total cross-section fractions are (left to right) $84 \%-93 \%, 55 \%-64 \%, 18 \%-28 \%,$ and $0 \%-5 \%$ for the $200-\mathrm{GeV}$ data and $84 \%-95 \%, 56 \%-65 \%$ $18 \%-28 \%,$ and $0 \%-5 \%$ for the $62 \mathrm{GeV}$ data (see Tables III and IV).

FIG. 2. (Color online) Fit decomposition of the $46 \%-56 \%$ centrality data for 62 -GeV Au-Au collisions. The top panels show from left to right the corrected data, model fit, fit residuals (data - model), and same-side 2D Gaussian. The bottom panels similarly show the away-side azimuth dipole, the nonjet azimuth quadrupole, the 1D $\eta_{\Delta}$ Gaussian, and the 2D exponential. This centrality is just below the sharp transition at $v_{\text {trans }}=3$. Fit residuals (c) are scaled up eightfold relative to the data.

FIG. 3. Fit parameters for $\left(\eta_{\Delta}, \phi_{\Delta}\right)$ correlation data from Au-Au collisions at $\sqrt{s_{N N}}=62$ (open symbols) and 200 GeV (solid symbols) versus centrality measure $\nu$ computed at fixed energy $(200 \mathrm{GeV})$. The SS $2 \mathrm{D}$ Gaussian amplitudes, $\eta_{\Delta}$ widths, and $\phi_{\Delta}$ widths are shown in the left, center, and right panels, respectively of the top row. The bottom row shows from left to right the amplitudes for the dipole, quadrupole, and SS peak width aspect ratio $\sigma_{\eta_{\Delta}} / \sigma_{\phi_{\Delta}} .$ Fitting errors are indicated by error bars where larger than the symbols. Solid lines connect the points for clarity. The dotted and dashed curves indicate Glauber linear superposition estimates for 62 - and 200 -GeV peak amplitudes respectively, as discussed in the text. The quadrupole data are consistent with Ref. [60]. The hatched regions indicate the full range of systematic uncertainties listed in Appendix F. The vertical dark bands indicate estimated $v$ equivalents for $N-N$ collisions and $b=0$ Au-Au collisions.

FIG. 3. Fit parameters for $\left(\eta_{\Delta}, \phi_{\Delta}\right)$ correlation data from Au-Au collisions at $\sqrt{s_{N N}}=62$ (open symbols) and 200 GeV (solid symbols) versus centrality measure $\nu$ computed at fixed energy $(200 \mathrm{GeV})$. The SS $2 \mathrm{D}$ Gaussian amplitudes, $\eta_{\Delta}$ widths, and $\phi_{\Delta}$ widths are shown in the left, center, and right panels, respectively of the top row. The bottom row shows from left to right the amplitudes for the dipole, quadrupole, and SS peak width aspect ratio $\sigma_{\eta_{\Delta}} / \sigma_{\phi_{\Delta}} .$ Fitting errors are indicated by error bars where larger than the symbols. Solid lines connect the points for clarity. The dotted and dashed curves indicate Glauber linear superposition estimates for 62 - and 200 -GeV peak amplitudes respectively, as discussed in the text. The quadrupole data are consistent with Ref. [60]. The hatched regions indicate the full range of systematic uncertainties listed in Appendix F. The vertical dark bands indicate estimated $v$ equivalents for $N-N$ collisions and $b=0$ Au-Au collisions.

FIG. 3. Fit parameters for $\left(\eta_{\Delta}, \phi_{\Delta}\right)$ correlation data from Au-Au collisions at $\sqrt{s_{N N}}=62$ (open symbols) and 200 GeV (solid symbols) versus centrality measure $\nu$ computed at fixed energy $(200 \mathrm{GeV})$. The SS $2 \mathrm{D}$ Gaussian amplitudes, $\eta_{\Delta}$ widths, and $\phi_{\Delta}$ widths are shown in the left, center, and right panels, respectively of the top row. The bottom row shows from left to right the amplitudes for the dipole, quadrupole, and SS peak width aspect ratio $\sigma_{\eta_{\Delta}} / \sigma_{\phi_{\Delta}} .$ Fitting errors are indicated by error bars where larger than the symbols. Solid lines connect the points for clarity. The dotted and dashed curves indicate Glauber linear superposition estimates for 62 - and 200 -GeV peak amplitudes respectively, as discussed in the text. The quadrupole data are consistent with Ref. [60]. The hatched regions indicate the full range of systematic uncertainties listed in Appendix F. The vertical dark bands indicate estimated $v$ equivalents for $N-N$ collisions and $b=0$ Au-Au collisions.

FIG. 3. Fit parameters for $\left(\eta_{\Delta}, \phi_{\Delta}\right)$ correlation data from Au-Au collisions at $\sqrt{s_{N N}}=62$ (open symbols) and 200 GeV (solid symbols) versus centrality measure $\nu$ computed at fixed energy $(200 \mathrm{GeV})$. The SS $2 \mathrm{D}$ Gaussian amplitudes, $\eta_{\Delta}$ widths, and $\phi_{\Delta}$ widths are shown in the left, center, and right panels, respectively of the top row. The bottom row shows from left to right the amplitudes for the dipole, quadrupole, and SS peak width aspect ratio $\sigma_{\eta_{\Delta}} / \sigma_{\phi_{\Delta}} .$ Fitting errors are indicated by error bars where larger than the symbols. Solid lines connect the points for clarity. The dotted and dashed curves indicate Glauber linear superposition estimates for 62 - and 200 -GeV peak amplitudes respectively, as discussed in the text. The quadrupole data are consistent with Ref. [60]. The hatched regions indicate the full range of systematic uncertainties listed in Appendix F. The vertical dark bands indicate estimated $v$ equivalents for $N-N$ collisions and $b=0$ Au-Au collisions.

FIG. 3. Fit parameters for $\left(\eta_{\Delta}, \phi_{\Delta}\right)$ correlation data from Au-Au collisions at $\sqrt{s_{N N}}=62$ (open symbols) and 200 GeV (solid symbols) versus centrality measure $\nu$ computed at fixed energy $(200 \mathrm{GeV})$. The SS $2 \mathrm{D}$ Gaussian amplitudes, $\eta_{\Delta}$ widths, and $\phi_{\Delta}$ widths are shown in the left, center, and right panels, respectively of the top row. The bottom row shows from left to right the amplitudes for the dipole, quadrupole, and SS peak width aspect ratio $\sigma_{\eta_{\Delta}} / \sigma_{\phi_{\Delta}} .$ Fitting errors are indicated by error bars where larger than the symbols. Solid lines connect the points for clarity. The dotted and dashed curves indicate Glauber linear superposition estimates for 62 - and 200 -GeV peak amplitudes respectively, as discussed in the text. The quadrupole data are consistent with Ref. [60]. The hatched regions indicate the full range of systematic uncertainties listed in Appendix F. The vertical dark bands indicate estimated $v$ equivalents for $N-N$ collisions and $b=0$ Au-Au collisions.

FIG. 3. Fit parameters for $\left(\eta_{\Delta}, \phi_{\Delta}\right)$ correlation data from Au-Au collisions at $\sqrt{s_{N N}}=62$ (open symbols) and 200 GeV (solid symbols) versus centrality measure $\nu$ computed at fixed energy $(200 \mathrm{GeV})$. The SS $2 \mathrm{D}$ Gaussian amplitudes, $\eta_{\Delta}$ widths, and $\phi_{\Delta}$ widths are shown in the left, center, and right panels, respectively of the top row. The bottom row shows from left to right the amplitudes for the dipole, quadrupole, and SS peak width aspect ratio $\sigma_{\eta_{\Delta}} / \sigma_{\phi_{\Delta}} .$ Fitting errors are indicated by error bars where larger than the symbols. Solid lines connect the points for clarity. The dotted and dashed curves indicate Glauber linear superposition estimates for 62 - and 200 -GeV peak amplitudes respectively, as discussed in the text. The quadrupole data are consistent with Ref. [60]. The hatched regions indicate the full range of systematic uncertainties listed in Appendix F. The vertical dark bands indicate estimated $v$ equivalents for $N-N$ collisions and $b=0$ Au-Au collisions.

FIG. 4. (Color online) (a) 2D data histogram from $0 \%-5 \%$ central 200 GeV Au-Au collisions $[(0,0)$ bin suppressed]. (b) Additional model component fitted to the $2 \mathrm{D}$ histogram and consisting of an AS azimuth dipole modulated by function $F\left(\eta_{\Delta}\right)$ described in the text. (c) Fit residuals including the new model component. (d) Data histogram in the first panel minus the additional model component and fitted offset. Remaining structure is described accurately by an AS dipole and SS 2D Gaussian.

FIG. 9. (a) Amplitude of SS 2D peak (jet-correlated pairs per final-state hadron) for data (solid points), GLS extrapolation from $p$ - $p$ data (dashed curve) and from the HIJING Monte Carlo (open points, dotted curve). (b) Single-particle production extrapolated from $p-p$ data (dashed curve, GLS), and from more-central Au-Au data (solid line) and HIJING (dash-dotted line, open points). (c) Single-particle hard-component production per $N-N$ binary collision from $p-p$ data, from more-central Au-Au data and from HIJING (open points). (d) Jet-correlated pair production (SS 2D peak) per $N-N$ binary collision extrapolated from $p-p$ data (GLS), and from Au-Au data (solid points) and HIJING (open points).

FIG. 9. (a) Amplitude of SS 2D peak (jet-correlated pairs per final-state hadron) for data (solid points), GLS extrapolation from $p$ - $p$ data (dashed curve) and from the HIJING Monte Carlo (open points, dotted curve). (b) Single-particle production extrapolated from $p-p$ data (dashed curve, GLS), and from more-central Au-Au data (solid line) and HIJING (dash-dotted line, open points). (c) Single-particle hard-component production per $N-N$ binary collision from $p-p$ data, from more-central Au-Au data and from HIJING (open points). (d) Jet-correlated pair production (SS 2D peak) per $N-N$ binary collision extrapolated from $p-p$ data (GLS), and from Au-Au data (solid points) and HIJING (open points).

FIG. 9. (a) Amplitude of SS 2D peak (jet-correlated pairs per final-state hadron) for data (solid points), GLS extrapolation from $p$ - $p$ data (dashed curve) and from the HIJING Monte Carlo (open points, dotted curve). (b) Single-particle production extrapolated from $p-p$ data (dashed curve, GLS), and from more-central Au-Au data (solid line) and HIJING (dash-dotted line, open points). (c) Single-particle hard-component production per $N-N$ binary collision from $p-p$ data, from more-central Au-Au data and from HIJING (open points). (d) Jet-correlated pair production (SS 2D peak) per $N-N$ binary collision extrapolated from $p-p$ data (GLS), and from Au-Au data (solid points) and HIJING (open points).

FIG. 9. (a) Amplitude of SS 2D peak (jet-correlated pairs per final-state hadron) for data (solid points), GLS extrapolation from $p$ - $p$ data (dashed curve) and from the HIJING Monte Carlo (open points, dotted curve). (b) Single-particle production extrapolated from $p-p$ data (dashed curve, GLS), and from more-central Au-Au data (solid line) and HIJING (dash-dotted line, open points). (c) Single-particle hard-component production per $N-N$ binary collision from $p-p$ data, from more-central Au-Au data and from HIJING (open points). (d) Jet-correlated pair production (SS 2D peak) per $N-N$ binary collision extrapolated from $p-p$ data (GLS), and from Au-Au data (solid points) and HIJING (open points).

FIG. 11. (Color online) (Left) Uncorrected angular correlations from 62-GeV $37 \%-46 \%$ central Au-Au collisions showing pileup distortions, especially evident as the W-shaped nonuniformity of the AS ridge on $\eta_{\Delta}$. (Right) The same data with pileup correction applied.

Cross sections ratio J/PSI/Drell-Yan as a function of CENTRALITY(NAME=b) obtained withthe ET Centrality estimator.

Cross sections ratio J/PSI/Drell-Yan as a function of CENTRALITY(NAME=L) obtained withthe ET Centrality estimator.

Centrality classes based on the forward energy measurement errors are rms values obtained with fit.

Cross sections ratio J/PSI/Drell-Yan as a function of E(NAME=ZDC) obtained withthe E(NAME=ZDC) Centrality estimator.

Cross sections ratio J/PSI/Drell-Yan as a function of N(NAME=PART) obtained withthe E(NAME=ZDC) Centrality estimator.

Cross sections ratio J/PSI/Drell-Yan as a function of CENTRALITY(NAME=b) obtained withthe E(NAME=ZDC) Centrality estimator.

Cross sections ratio J/PSI/Drell-Yan as a function of CENTRALITY(NAME=L) obtained withthe E(NAME=ZDC) Centrality estimator.

Centrality classes based on the Charged particle multiplicity : DN/DYRAP at YRAP=0 errors are rms values obtained with fit.

Cross sections ratio J/PSI/Drell-Yan as a function of N(NAME=CH) obtained withthe N(NAME=CH) Centrality estimator.

Cross sections ratio J/PSI/Drell-Yan as a function of N(NAME=PART) obtained withthe N(NAME=CH) Centrality estimator.

Cross sections ratio J/PSI/Drell-Yan as a function of CENTRALITY(NAME=b) obtained withthe N(NAME=CH) Centrality estimator.

Cross sections ratio J/PSI/Drell-Yan as a function of CENTRALITY(NAME=L) obtained withthe N(NAME=CH) Centrality estimator.

Mean values of PT and PT**2 calculated from the Drell-Yan distributions.

Mean values of MT-M calculated from the J/PSI distributions and T parameter exctractedfrom a fit.

PT distribution from the IMR distributions. Data extracted from jpg figures with g3data. The (sys) error corresponds to the error given byg3data due to extraction, statistical errors are not separated and set to 0.

PT distribution from the J/PSI distributions. Data extracted from jpg figures with g3data. The (sys) error corresponds to the error given byg3data due to extraction, statistical errors are not separated and are set to 0.

PT distribution from the PSI(3685) distributions. Data extracted from jpg figures with g3data, DSYS corresponds to the error given byg3data due to extraction, statistical errors not included.

PT distribution from the Drell-Yan distributions. Data exctracted from jpg figures with g3data, DSYS corresponds to the error given byg3data due to exctraction, statistical errors not included.