Charged particle multiplicity distribution.

Average charged particle transverse momentum as a function of the number of charged particles in the event.

The average multiplicity and average scalar sum of transverse momenta of charge particles per unit of pseudorapidity and per radian as a function of the leading track-jet transverse momenta. Statistical errors only. Typical systematic error of 1.8 PCT at a leading track-jet PT of 3.5 GeV.

The normalized multiplicity distribution (PROB) of charged particles. Statistical error only. Typical systematic error of 2.3 PCT at a multiplicity of 4.

The normalized distribution of the scalar sum of the transverse momenta of charged particles. Statistical errors only. Typical systematic error of 1.6 PCT at a SUM(PT) of 4.5 GeV.

The transverse momenta spectrum of charged particles. Statistical error only. Typical systematic error of 2.0 PCT at a PT of 1 GeV.

Fig. 2. (Color online.) Event-by-event photon multiplicity distributions (solid circles) for $\mathrm{Au}+\mathrm{Au}$ and $\mathrm{Cu}+\mathrm{Cu}$ at $\sqrt{s_{\mathrm{NN}}}=62.4$ and $200 \mathrm{GeV} .$ The distributions for top $0-5 \%$ central $\mathrm{Au}+$ Au collisions and top $0-10 \%$ central $\mathrm{Cu}+\mathrm{Cu}$ collisions are also shown (open circles). The photon multiplicity distributions for central collisions are observed to be Gaussian (solid line). Only statistical errors are shown. NOTE: For points with invisible error bars, the point size was considered as an absolute upper limit for the uncertainty.

Fig. 2. (Color online.) Event-by-event photon multiplicity distributions (solid circles) for $\mathrm{Au}+\mathrm{Au}$ and $\mathrm{Cu}+\mathrm{Cu}$ at $\sqrt{s_{\mathrm{NN}}}=62.4$ and $200 \mathrm{GeV} .$ The distributions for top $0-5 \%$ central $\mathrm{Au}+$ Au collisions and top $0-10 \%$ central $\mathrm{Cu}+\mathrm{Cu}$ collisions are also shown (open circles). The photon multiplicity distributions for central collisions are observed to be Gaussian (solid line). Only statistical errors are shown. NOTE: For points with invisible error bars, the point size was considered as an absolute upper limit for the uncertainty.

Fig. 2. (Color online.) Event-by-event photon multiplicity distributions (solid circles) for $\mathrm{Au}+\mathrm{Au}$ and $\mathrm{Cu}+\mathrm{Cu}$ at $\sqrt{s_{\mathrm{NN}}}=62.4$ and $200 \mathrm{GeV} .$ The distributions for top $0-5 \%$ central $\mathrm{Au}+$ Au collisions and top $0-10 \%$ central $\mathrm{Cu}+\mathrm{Cu}$ collisions are also shown (open circles). The photon multiplicity distributions for central collisions are observed to be Gaussian (solid line). Only statistical errors are shown. NOTE: For points with invisible error bars, the point size was considered as an absolute upper limit for the uncertainty.

Fig. 3. (Color online.) Photon pseudorapidity distributions for $\mathrm{Au}+\mathrm{Au}$ and $\mathrm{Cu}+\mathrm{Cu}$ at $\sqrt{\mathrm{s}_{\mathrm{NN}}}=62.4$ and $200\mathrm{GeV}$. The results for several centrality classes are shown. The solid curves are results of HIJING simulations for central $(0-5 \%$ for $\mathrm{Au}+\mathrm{Au}$ and $0-10 \%$ for $\mathrm{Cu}+\mathrm{Cu})$ and $30-40 \%$ mid-central collisions. The errors shown are systematic, statistical errors are negligible in comparison. NOTE: For points with invisible error bars, the point size was considered as an absolute upper limit for the uncertainty.

Fig. 3. (Color online.) Photon pseudorapidity distributions for $\mathrm{Au}+\mathrm{Au}$ and $\mathrm{Cu}+\mathrm{Cu}$ at $\sqrt{\mathrm{s}_{\mathrm{NN}}}=62.4$ and $200\mathrm{GeV}$. The results for several centrality classes are shown. The solid curves are results of HIJING simulations for central $(0-5 \%$ for $\mathrm{Au}+\mathrm{Au}$ and $0-10 \%$ for $\mathrm{Cu}+\mathrm{Cu})$ and $30-40 \%$ mid-central collisions. The errors shown are systematic, statistical errors are negligible in comparison. NOTE: For points with invisible error bars, the point size was considered as an absolute upper limit for the uncertainty.

Fig. 3. (Color online.) Photon pseudorapidity distributions for $\mathrm{Au}+\mathrm{Au}$ and $\mathrm{Cu}+\mathrm{Cu}$ at $\sqrt{\mathrm{s}_{\mathrm{NN}}}=62.4$ and $200\mathrm{GeV}$. The results for several centrality classes are shown. The solid curves are results of HIJING simulations for central $(0-5 \%$ for $\mathrm{Au}+\mathrm{Au}$ and $0-10 \%$ for $\mathrm{Cu}+\mathrm{Cu})$ and $30-40 \%$ mid-central collisions. The errors shown are systematic, statistical errors are negligible in comparison. NOTE: For points with invisible error bars, the point size was considered as an absolute upper limit for the uncertainty.

Fig. 3. (Color online.) Photon pseudorapidity distributions for $\mathrm{Au}+\mathrm{Au}$ and $\mathrm{Cu}+\mathrm{Cu}$ at $\sqrt{\mathrm{s}_{\mathrm{NN}}}=62.4$ and $200\mathrm{GeV}$. The results for several classes are shown. The solid curves are results of HIJING simulations for central $(0-5 \%$ for $\mathrm{Au}+\mathrm{Au}$ and $0-10 \%$ for $\mathrm{Cu}+\mathrm{Cu})$ and $30-40 \%$ mid-central collisions. The errors shown are systematic, statistical errors are negligible in comparison. NOTE: For points with invisible error bars, the point size was considered as an absolute upper limit for the uncertainty.

Fig. 4. (Color online.) Top panel: The number of photons divided by $\left\langle N_{\text{part}}\right\rangle / 2$ as a function of average number of participating nucleons for $\mathrm{Au}+\mathrm{Au}$ and $\mathrm{Cu}+\mathrm{Cu}$ at $\sqrt{\mathrm{s} _{\mathrm{NN}}}=62.4$ and $200 \mathrm{GeV}$ for $-3.7<\eta<-2.3 .$ Errors shown are systematic only and include those for $\left\langle N_{\text {part }}\right\rangle .$ Results from HIJING are shown as lines (solid for $\mathrm{Au}+\mathrm{Au}$ and dashed for $\mathrm{Cu}+\mathrm{Cu}$ ). Bottom panel: Same as above, for both photons and charged particles from PHOBOS [10]. NOTE: For points with invisible error bars, the point size was considered as an absolute upper limit for the uncertainty.

Fig. 4. (Color online.) Top panel: The number of photons divided by $\left\langle N_{\text{part}}\right\rangle / 2$ as a function of average number of participating nucleons for $\mathrm{Au}+\mathrm{Au}$ and $\mathrm{Cu}+\mathrm{Cu}$ at $\sqrt{\mathrm{s} _{\mathrm{NN}}}=62.4$ and $200 \mathrm{GeV}$ for $-3.7<\eta<-2.3 .$ Errors shown are systematic only and include those for $\left\langle N_{\text {part }}\right\rangle .$ Results from HIJING are shown as lines (solid for $\mathrm{Au}+\mathrm{Au}$ and dashed for $\mathrm{Cu}+\mathrm{Cu}$ ). Bottom panel: Same as above, for both photons and charged particles from PHOBOS [10]. NOTE: For points with invisible error bars, the point size was considered as an absolute upper limit for the uncertainty.

Fig. 5. (Color online.) Photon pseudorapidity distributions normalized by the average number of participating nucleon pairs for different collision centralities are plotted as a function of pseudorapidity shifted by the beam rapidity (-5.36 for $200 \mathrm{GeV}$ and -4.19 for $62.4 \mathrm{GeV}$ ) for $\mathrm{Au}+\mathrm{Au}$ and $\mathrm{Cu}+\mathrm{Cu}$ collisions at $\sqrt{s_{\mathrm{NN}}}=62.4$ and $200 \mathrm{GeV}$. Errors are systematic only, statistical errors are negligible in comparison. For clarity of presentation, results for only four centralities are shown. The $\mathrm{Cu}+$ Cu data are shifted by 0.1 unit in $\eta-y_{\text {beam }} .$ The solid line is a second order polynomial fit to the data (see text for details).

Fig. 5. (Color online.) Photon pseudorapidity distributions normalized by the average number of participating nucleon pairs for different collision centralities are plotted as a function of pseudorapidity shifted by the beam rapidity (-5.36 for $200 \mathrm{GeV}$ and -4.19 for $62.4 \mathrm{GeV}$ ) for $\mathrm{Au}+\mathrm{Au}$ and $\mathrm{Cu}+\mathrm{Cu}$ collisions at $\sqrt{s_{\mathrm{NN}}}=62.4$ and $200 \mathrm{GeV}$. Errors are systematic only, statistical errors are negligible in comparison. For clarity of presentation, results for only four centralities are shown. The $\mathrm{Cu}+$ Cu data are shifted by 0.1 unit in $\eta-y_{\text {beam }} .$ The solid line is a second order polynomial fit to the data (see text for details).

The TPC mid-rapidity multiplicity distributions ($|\eta|$ < 0.5) for the corresponding E-FTPC selected centrality bins.

Uncorrected charged particle multiplicity distribution measured in the TPC within $|\eta|$ < 0.5 in pp collisions at 200 GeV.

The ratio of the transverse overlap area $S_{⊥}$ to $(N_{part}/2)^{2/3}$ versus $(N_{part}/2)^{2/3}$.

The ratio of the transverse overlap area $S_{⊥}$ to $(N_{part}/2)^{2/3}$ versus $(N_{part}/2)^{2/3}$.

The ratio of the transverse overlap area $S_{⊥}$ to $(N_{part}/2)^{2/3}$ versus $(N_{part}/2)^{2/3}$.

The ratio of the charged pion multiplicity to the transverse overlap area $dN_{\pi}/dy/S_{⊥}$ versus $N_{coll}/N_{part}$. Errors shown are total errors, dominated by systematic uncertainties. The systematic uncertainties are correlated between Npart, Ncoll, and S⊥, and are largely canceled in the plotted ratio quantities.

The ratio of the charged pion multiplicity to the transverse overlap area $dN_{\pi}/dy/S_{⊥}$ versus $N_{coll}/N_{part}$. Errors shown are total errors, dominated by systematic uncertainties. The systematic uncertainties are correlated between Npart, Ncoll, and S⊥, and are largely canceled in the plotted ratio quantities.

The ratio of the charged pion multiplicity to the transverse overlap area $dN_{\pi}/dy/S_{⊥}$ versus $N_{coll}/N_{part}$. Errors shown are total errors, dominated by systematic uncertainties. The systematic uncertainties are correlated between Npart, Ncoll, and S⊥, and are largely canceled in the plotted ratio quantities.

Energy loss effect for $\pi^{+-}$ (a), $K^{+-}$ (b), and p and pbar (c) at mid-rapidity (|y| < 0.1) as a function of particle momentum magnitude in 200 GeV pp and 62.4 GeV central 0-5% Au+Au collisions. Only negative particles are shown; energy loss for particles and antiparticles are the same. Errors shown are statistical only. The pion energy loss is already corrected by the track reconstruction algorithm.

Energy loss effect for $\pi^{+-}$ (a), $K^{+-}$ (b), and p and pbar (c) at mid-rapidity (|y| < 0.1) as a function of particle momentum magnitude in 200 GeV pp and 62.4 GeV central 0-5% Au+Au collisions. Only negative particles are shown; energy loss for particles and antiparticles are the same. Errors shown are statistical only. The pion energy loss is already corrected by the track reconstruction algorithm.

Energy loss effect for $\pi^{+-}$ (a), $K^{+-}$ (b), and p and pbar (c) at mid-rapidity (|y| < 0.1) as a function of particle momentum magnitude in 200 GeV pp and 62.4 GeV central 0-5% Au+Au collisions. Only negative particles are shown; energy loss for particles and antiparticles are the same. Errors shown are statistical only. The pion energy loss is already corrected by the track reconstruction algorithm.

Vertex-finding efficiency (ǫvtx) and fake vertex rate (δfake) as a function of the number of good global tracks (a) and the number of good primary tracks (b). Errors shown or smaller than the point size are statistical only.

Vertex-finding efficiency (ǫvtx) and fake vertex rate (δfake) as a function of the number of good global tracks (a) and the number of good primary tracks (b). Errors shown or smaller than the point size are statistical only.

The $p_{T}$ dependent correction to particle spectra due to fake vertex events, $\epsilon_{fake}(p_{T})$, in 200 GeV minimum bias pp and d+Au collisions. Errors shown are statistical only.

The $p_{T}$ dependent correction to particle spectra due to fake vertex events, $\epsilon_{fake}(p_{T})$, in 200 GeV minimum bias pp and d+Au collisions. Errors shown are statistical only.

Efficiency (product of tracking efficiency and detector acceptance) of π−, K−, and p in pp (a) and d+Au collisions (b) at 200 GeV as a function of input MC p⊥. Errors shown are binomial errors. The curves are parameterizations to the efficiency data and are used for corrections in the analysis.

Efficiency (product of tracking efficiency and detector acceptance) of π−, K−, and p in pp (a) and d+Au collisions (b) at 200 GeV as a function of input MC p⊥. Errors shown are binomial errors. The curves are parameterizations to the efficiency data and are used for corrections in the analysis.

Efficiency (product of tracking efficiency and detector acceptance) of π−, K−, and p in 70-80% peripheral Au+Au (a) and 0-5% central Au+Au collisions (b) at 62.4 GeV as a function of input MC p⊥. Errors shown are binomial errors. The curves are parameterizations to the efficiency data and are used for corrections in the analysis.

Efficiency (product of tracking efficiency and detector acceptance) of π−, K−, and p in 70-80% peripheral Au+Au (a) and 0-5% central Au+Au collisions (b) at 62.4 GeV as a function of input MC p⊥. Errors shown are binomial errors. The curves are parameterizations to the efficiency data and are used for corrections in the analysis.

Efficiency (product of tracking efficiency and detector acceptance) of π−, K−, and p in 70-80% peripheral Au+Au (a) and 0-5% central Au+Au collisions (b) at 62.4 GeV as a function of input MC p⊥. Errors shown are binomial errors. The curves are parameterizations to the efficiency data and are used for corrections in the analysis.

Efficiency (product of tracking efficiency and detector acceptance) of π−, K−, and p in 70-80% peripheral Au+Au (a) and 0-5% central Au+Au collisions (b) at 62.4 GeV as a function of input MC p⊥. Errors shown are binomial errors. The curves are parameterizations to the efficiency data and are used for corrections in the analysis.

The dca distributions of protons and antiprotons for 0.40 < p⊥ < 0.45 GeV/c in 200 GeV minimum bias d+Au. Errors shown are statistical only.

The dca distributions of protons and antiprotons for 0.70 < p⊥ < 0.75 GeV/c in 200 GeV minimum bias d+Au. Errors shown are statistical only.

The dca distributions of protons and antiprotons for 0.40 < p⊥ < 0.45 GeV/c in 62.4 GeV 0-5% central Au+Au collisions. Errors shown are statistical only.

The dca distributions of protons and antiprotons for 0.70 < p⊥ < 0.75 GeV/c in 62.4 GeV 0-5% central Au+Au collisions. Errors shown are statistical only.

Pion background fraction from weak decays ($\Lambda, K_S^0$) and $\mu^{+-}$ contamination as a function of p⊥ in minimum bias d+Au collisions at 200 GeV. Errors shown are statistical only.

Pion background fraction from weak decays ($\Lambda, K_S^0$) and $\mu^{+-}$ contamination as a function of p⊥ in minimum bias d+Au collisions at 200 GeV. Errors shown are statistical only.

Mid-rapidity identified antiproton spectra in 200 GeV minimum bias d+Au (a) and 62.4 GeV central Au+Au collisions (b) measured by dE/dx together with those by TOF [46, 47]. The dE/dx data are from |y| < 0.1 and the TOF data are from |y| < 0.5. The curves are various fits to the dE/dx data for extrapolation. The quadratic sum of statistical errors and point-to-point systematic errors are plotted, but are smaller than the point size.

Mid-rapidity identified antiproton spectra in 200 GeV minimum bias d+Au (a) and 62.4 GeV central Au+Au collisions (b) measured by dE/dx together with those by TOF [46, 47]. The dE/dx data are from |y| < 0.1 and the TOF data are from |y| < 0.5. The curves are various fits to the dE/dx data for extrapolation. The quadratic sum of statistical errors and point-to-point systematic errors are plotted, but are smaller than the point size.

Mid-rapidity identified antiproton spectra in 200 GeV minimum bias d+Au (a) and 62.4 GeV central Au+Au collisions (b) measured by dE/dx together with those by TOF [46, 47]. The dE/dx data are from |y| < 0.1 and the TOF data are from |y| < 0.5. The curves are various fits to the dE/dx data for extrapolation. The quadratic sum of statistical errors and point-to-point systematic errors are plotted, but are smaller than the point size.

Mid-rapidity identified antiproton spectra in 200 GeV minimum bias d+Au (a) and 62.4 GeV central Au+Au collisions (b) measured by dE/dx together with those by TOF [46, 47]. The dE/dx data are from |y| < 0.1 and the TOF data are from |y| < 0.5. The curves are various fits to the dE/dx data for extrapolation. The quadratic sum of statistical errors and point-to-point systematic errors are plotted, but are smaller than the point size.

Mid-rapidity identified antiproton spectra in 200 GeV minimum bias d+Au (a) and 62.4 GeV central Au+Au collisions (b) measured by dE/dx together with those by TOF [46, 47]. The dE/dx data are from |y| < 0.1 and the TOF data are from |y| < 0.5. The curves are various fits to the dE/dx data for extrapolation. The quadratic sum of statistical errors and point-to-point systematic errors are plotted, but are smaller than the point size.

Mid-rapidity identified antiproton spectra in 200 GeV minimum bias d+Au (a) and 62.4 GeV central Au+Au collisions (b) measured by dE/dx together with those by TOF [46, 47]. The dE/dx data are from |y| < 0.1 and the TOF data are from |y| < 0.5. The curves are various fits to the dE/dx data for extrapolation. The quadratic sum of statistical errors and point-to-point systematic errors are plotted, but are smaller than the point size.

Mid-rapidity identified antiproton spectra in 200 GeV minimum bias d+Au (a) and 62.4 GeV central Au+Au collisions (b) measured by dE/dx together with those by TOF [46, 47]. The dE/dx data are from |y| < 0.1 and the TOF data are from |y| < 0.5. The curves are various fits to the dE/dx data for extrapolation. The quadratic sum of statistical errors and point-to-point systematic errors are plotted, but are smaller than the point size.

Mid-rapidity identified antiproton spectra in 200 GeV minimum bias d+Au (a) and 62.4 GeV central Au+Au collisions (b) measured by dE/dx together with those by TOF [46, 47]. The dE/dx data are from |y| < 0.1 and the TOF data are from |y| < 0.5. The curves are various fits to the dE/dx data for extrapolation. The quadratic sum of statistical errors and point-to-point systematic errors are plotted, but are smaller than the point size.

Mid-rapidity identified antiproton spectra in 200 GeV minimum bias d+Au (a) and 62.4 GeV central Au+Au collisions (b) measured by dE/dx together with those by TOF [46, 47]. The dE/dx data are from |y| < 0.1 and the TOF data are from |y| < 0.5. The curves are various fits to the dE/dx data for extrapolation. The quadratic sum of statistical errors and point-to-point systematic errors are plotted, but are smaller than the point size.

Mid-rapidity identified antiproton spectra in 200 GeV minimum bias d+Au (a) and 62.4 GeV central Au+Au collisions (b) measured by dE/dx together with those by TOF [46, 47]. The dE/dx data are from |y| < 0.1 and the TOF data are from |y| < 0.5. The curves are various fits to the dE/dx data for extrapolation. The quadratic sum of statistical errors and point-to-point systematic errors are plotted, but are smaller than the point size.

Mid-rapidity (|y| < 0.1) identified particle spectra in d+Au collisions at 200 GeV. The p and pbar spectra are inclusive, including weak decay products. Spectra are plotted for three centrality bins and for minimum bias events. Spectra from top to bottom are for 0-20% scaled by 4, 20-40% scaled by 2, minimum bias not scaled, and 40-100% scaled by 1/2. Errors plotted are statistical and point-to-point systematic errors added in quadrature, but are smaller than the point size. The curves are the blast-wave model fits to the minimum bias data; the normalizations of the curves are fixed by the corresponding negative particle spectra.

Mid-rapidity (|y| < 0.1) identified particle spectra in d+Au collisions at 200 GeV. The p and pbar spectra are inclusive, including weak decay products. Spectra are plotted for three centrality bins and for minimum bias events. Spectra from top to bottom are for 0-20% scaled by 4, 20-40% scaled by 2, minimum bias not scaled, and 40-100% scaled by 1/2. Errors plotted are statistical and point-to-point systematic errors added in quadrature, but are smaller than the point size. The curves are the blast-wave model fits to the minimum bias data; the normalizations of the curves are fixed by the corresponding negative particle spectra.

Mid-rapidity (|y| < 0.1) identified particle spectra in d+Au collisions at 200 GeV. The p and pbar spectra are inclusive, including weak decay products. Spectra are plotted for three centrality bins and for minimum bias events. Spectra from top to bottom are for 0-20% scaled by 4, 20-40% scaled by 2, minimum bias not scaled, and 40-100% scaled by 1/2. Errors plotted are statistical and point-to-point systematic errors added in quadrature, but are smaller than the point size. The curves are the blast-wave model fits to the minimum bias data; the normalizations of the curves are fixed by the corresponding negative particle spectra.

Mid-rapidity (|y| < 0.1) identified particle spectra in Au+Au collisions at 62.4 GeV. The p and p spectra are inclusive, including weak decay products. Spectra are plotted for nine centrality bins, from top to bottom, 0-5%, 5-10%, 10-20%, 20-30%, 30-40%, 40-50%, 50-60%, 60-70%, and 70-80%. Errors plotted are statistical and point-to-point systematic errors added in quadrature, but are smaller than the point size. The curves are the blast-wave model fits to the spectra; the normalizations of the curves in (a,b) are fixed by the corresponding negative particle spectra.

Mid-rapidity (|y| < 0.1) identified particle spectra in Au+Au collisions at 62.4 GeV. The p and p spectra are inclusive, including weak decay products. Spectra are plotted for nine centrality bins, from top to bottom, 0-5%, 5-10%, 10-20%, 20-30%, 30-40%, 40-50%, 50-60%, 60-70%, and 70-80%. Errors plotted are statistical and point-to-point systematic errors added in quadrature, but are smaller than the point size. The curves are the blast-wave model fits to the spectra; the normalizations of the curves in (a,b) are fixed by the corresponding negative particle spectra.

Mid-rapidity (|y| < 0.1) identified particle spectra in Au+Au collisions at 62.4 GeV. The p and p spectra are inclusive, including weak decay products. Spectra are plotted for nine centrality bins, from top to bottom, 0-5%, 5-10%, 10-20%, 20-30%, 30-40%, 40-50%, 50-60%, 60-70%, and 70-80%. Errors plotted are statistical and point-to-point systematic errors added in quadrature, but are smaller than the point size. The curves are the blast-wave model fits to the spectra; the normalizations of the curves in (a,b) are fixed by the corresponding negative particle spectra.

Mid-rapidity (|y| < 0.1) identified particle spectra in Au+Au collisions at 62.4 GeV. The p and p spectra are inclusive, including weak decay products. Spectra are plotted for nine centrality bins, from top to bottom, 0-5%, 5-10%, 10-20%, 20-30%, 30-40%, 40-50%, 50-60%, 60-70%, and 70-80%. Errors plotted are statistical and point-to-point systematic errors added in quadrature, but are smaller than the point size. The curves are the blast-wave model fits to the spectra; the normalizations of the curves in (a,b) are fixed by the corresponding negative particle spectra.

Mid-rapidity (|y| < 0.1) identified pion spectra in Au+Au collisions at 130 GeV. Spectra are plotted for eight centrality bins, from top to bottom, 0-6%, 6-11%, 11-18%, 18- 26%, 26-34%, 34-45%, 45-58%, and 58-85%. Errors plotted are statistical and point-to-point systematic errors added in quadrature, but they are smaller than the data point size. The curves are the Bose-Einstein fits to the spectra; the normalizations of the curves are fixed by the corresponding negative particle spectra.

Estimate of the product of the Bjorken energy density and the formation time ($\epsilon_{B_j}\tau$) as a function of centrality Npart. Errors shown are the quadratic sum of statistical and systematic uncertainties.

Estimate of the product of the Bjorken energy density and the formation time ($\epsilon_{B_j}\tau$) as a function of centrality Npart. Errors shown are the quadratic sum of statistical and systematic uncertainties.

Estimate of the product of the Bjorken energy density and the formation time ($\epsilon_{B_j}\tau$) as a function of centrality Npart. Errors shown are the quadratic sum of statistical and systematic uncertainties.

The K+/π+ and K−/π− ratios as a function of the collision energy in pp and central heavy-ion collisions.

The K+/K− ratio as a function of the collision energy in central heavy-ion collisions.

The K−/π− ratio as a function of the number of participants Npart in heavy-ion collisions at RHIC. Errors shown are the quadratic sum of statistical and systematic uncertainties.

The K−/π− ratio as a function of the number of participants Npart in heavy-ion collisions at RHIC. Errors shown are the quadratic sum of statistical and systematic uncertainties.

The K−/π− ratio as a function of the number of participants Npart in heavy-ion collisions at RHIC. Errors shown are the quadratic sum of statistical and systematic uncertainties.

The K−/π− ratio as a function of dNπ/dy/S⊥ in heavy-ion collisions at RHIC. Errors shown are the quadratic sum of statistical and systematic uncertainties.

The K−/π− ratio as a function of dNπ/dy/S⊥ in heavy-ion collisions at RHIC. Errors shown are the quadratic sum of statistical and systematic uncertainties.

The K−/π− ratio as a function of dNπ/dy/S⊥ in heavy-ion collisions at RHIC. Errors shown are the quadratic sum of statistical and systematic uncertainties.

Baryon chemical potential extracted for central heavy-ion collisions as a function of the collision energy. Errors shown are the total statistical and systematic errors.

The extracted chemical freeze-out temperatures for central heavy-ion collisions as a function of the collision energy. Errors shown are the total statistical and systematic errors.

The extracted chemical freeze-out temperatures for central heavy-ion collisions as a function of the collision energy. Errors shown are the total statistical and systematic errors.

The extracted kinetic freeze-out temperatures for central heavy-ion collisions as a function of the collision energy. Errors shown are the total statistical and systematic errors.

Average transverse radial flow velocity extracted from the blast-wave model for central heavy-ion collisions as a function of the collision energy. Errors shown are the total statistical and systematic errors.

Phase diagram plot of chemical freezeout temperature versus baryon chemical potential extracted from chemical equilibrium models. Errors shown are the total statistical and systematic errors.

Phase diagram plot of chemical freezeout temperature versus baryon chemical potential extracted from chemical equilibrium models. Errors shown are the total statistical and systematic errors.

Differential cross-sections obtained from the optical and MC Glauber calculations for Au+Au collisions at 200 GeV. Statistical errors are smaller than the point size.

Differential cross-sections obtained from the optical and MC Glauber calculations for Au+Au collisions at 200 GeV. Statistical errors are smaller than the point size.

K0S inclusive invariant PT distribution for HARD events at a centre of massenergy 630 GeV.

K0S inclusive invariant PT distribution for MB events at a centre of mass energy 630 GeV.

K0S inclusive invariant PT distribution for SOFT events at a centre of massenergy 630 GeV.

LAMBDA inclusive invariant PT distribution for HARD events at a centre of mass energy 1800 GeV.

LAMBDA inclusive invariant PT distribution for MB events at a centre of mass energy 1800 GeV.

LAMBDA inclusive invariant PT distribution for SOFT events at a centre of mass energy 1800 GeV.

LAMBDA inclusive invariant PT distribution for HARD events at a centre of mass energy 630 GeV.

LAMBDA inclusive invariant PT distribution for MB events at a centre of mass energy 630 GeV.

LAMBDA inclusive invariant PT distribution for SOFT events at a centre of mass energy 630 GeV.

Average PT of K0S at a centre of mass 1800 GeV for the MB data sample.

Average PT of LAMBDA at a centre of mass 1800 GeV for the MB data sample.

Average PT of K0S at a centre of mass 1800 GeV for the SOFT data sample.

Average PT of LAMBDA at a centre of mass 1800 GeV for the SOFT data sample.

Average PT of K0S at a centre of mass 1800 GeV for the HARD data sample.

Average PT of LAMBDA at a centre of mass 1800 GeV for the HARD data sample.

Average PT of K0S at a centre of mass 630 GeV for the MB data sample.

Average PT of LAMBDA at a centre of mass 630 GeV for the MB data sample.

Average PT of K0S at a centre of mass 630 GeV for the SOFT data sample.

Average PT of LAMBDA at a centre of mass 630 GeV for the SOFT data sample.

Average PT of K0S at a centre of mass 630 GeV for the HARD data sample.

Average PT of LAMBDA at a centre of mass 630 GeV for the HARD data sample.

Mean number of K0S per event divided by the charged multiplicity for the HARD data sample at centre of mass energy 1800 GeV.

Mean number of K0S per event divided by the charged multiplicity for the MBdata sample at centre of mass energy 1800 GeV.

Mean number of K0S per event divided by the charged multiplicity for the SOFT data sample at centre of mass energy 1800 GeV.

Mean number of K0S per event divided by the charged multiplicity for the HARD data sample at centre of mass energy 630 GeV.

Mean number of K0S per event divided by the charged multiplicity for the MBdata sample at centre of mass energy 630 GeV.

Mean number of K0S per event divided by the charged multiplicity for the SOFT data sample at centre of mass energy 630 GeV.

Mean number of LAMBDA per event divided by the charged multiplicity for theHARD data sample at centre of mass energy 1800 GeV.

Mean number of LAMBDA per event divided by the charged multiplicity for theMB data sample at centre of mass energy 1800 GeV.

Mean number of LAMBDA per event divided by the charged multiplicity for theSOFT data sample at centre of mass energy 1800 GeV.

Mean number of LAMBDA per event divided by the charged multiplicity for theHARD data sample at centre of mass energy 630 GeV.

Mean number of LAMBDA per event divided by the charged multiplicity for theMB data sample at centre of mass energy 630 GeV.

Mean number of LAMBDA per event divided by the charged multiplicity for theSOFT data sample at centre of mass energy 630 GeV.

$\langle p_\perp \rangle$ vs. multiplicity at $\sqrt{s} = 1800~\text{GeV}$, $|\eta| < 1$, $p_T > 0.4~\text{GeV}$.

The average number of toward(DPHI < 60 DEG), transverse (DPHI 60 TO 120 DEG) and away (DPHI > 120 DEG) charged particles as a function of the PT of the leading charged jet. The data in this table are from the JET20 events.

The average scalar PT sum of toward(DPHI < 60 DEG), transverse (DPHI 60 TO 120 DEG) and away (DPHI > 120 DEG) charged particles as a function of the PT of the leading charged jet. The data in this table are from the Min-Bias events.

The average scalar PT sum of toward(DPHI < 60 DEG), transverse (DPHI 60 TO 120 DEG) and away (DPHI > 120 DEG) charged particles as a function of the PT of the leading charged jet. The data fom this table are from the JET20 events.

The charged particle PT distribution for three lower limits of leading jet PT.

Tmajor distribution.

Tminor distribution.

Oblateness distribution.

Sphericity distribution.

Aplanarity distribution.

C-parameter distribution.

Heavy Jet Mass distribution.

Total Jet Broadening distribution.

Wide Jet Broadening distribution.

The mean of the event shape distributions.

The width of the event shape distributions.

The skewness of the event shape distributions.

Jet rates using the JADE E0 scheme as a function of ycut (the cut-off parameter).

Jet rates using the Durham Scheme as a function of ycut (the cut-off parameter).

Jet rates using the Cone algorithm as a function of the cone size R. Minimum jet energy is fixed at 7 GeV.

Jet rates using the Cone algorithm as a function of the minimum jet energy. The cone size is fixed at 0.7 radians.

Differential two jet rate using the Durham jet finding algorithm.

PTIN distribution.

PTOUT distribution.

Rapidity distribution of charged particles.

Fragmentation function.

The ln(1/xe) distribution.

Multiplicity distribution of charged particles.

Tminor distribution.

Oblateness distribution.

Sphericity distribution.

Aplanarity distribution.

C-parameter distribution.

Thrust distribution.

Heavy Jet Mass distribution.

Total Jet Broadening distribution.

Wide Jet Broadening distribution.

Jet rates using the JADE E0 scheme as a function of ycut (the cut-off parameter).

Jet rates using the Durham Scheme as a function of ycut (the cut-off parameter).

Jet rates using the Cone algorithm as a function of the cone size R. Minimum jet energy is fixed at 7 GeV.

Jet rates using the Cone algorithm as a function of the minimum jet energy.The cone size is fixed at 0.7 radians.

Differential two jet rate using the Durham jet finding algorithm.

Fragmentation function.

The ln(1/xe) distribution.

Multiplicity distribution of charged particles.

Rapidity distribution of charged particles.

PTIN distribution.

PTOUT distribution.