Comparison of the $m_{miss}$ shapes for the simulated signal events within the fiducial region and those outside it, after including the effect of PU protons as describe in the text, for a generated $m_{X}$ mass of 1000 GeV. The distributions are shown for single(+z)-single(−z) proton reconstruction categories.

Product of the acceptance times the combined reconstruction and identification efficiency, as a function of $m_{X}$ , for events generated inside the fiducial volume defined in Table 1. The curves shown panel display the different final states. The definition of the fiducial region and signal model used to estimate the acceptance is provided in the text.

Product of the acceptance times the combined reconstruction and identification efficiency, as a function of $m_{X}$ , for different proton reconstruction categories in the $Z \rightarrow \mu\mu $ analysis, and for events generated inside the fiducial volume defined in Table 1. The curves shown panel display the different final states. The definition of the fiducial region and signal model used to estimate the acceptance is provided in the text.

Distributions of the reconstructed proton $\xi$ in the negative arm from the proton mixing procedure with simulated MC events, are compared to data. The ee final states are shown.The ee events are displayed without the Z boson $p_T$ requirement.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed proton $\xi$ in the positive arm from the proton mixing procedure with simulated MC events, are compared to data. The ee final states are shown.The ee events are displayed without the Z boson $p_T$ requirement.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed di-proton rapidity from the proton mixing procedure with simulated MC events, are compared to data. The ee final states are shown.The ee events are displayed without the Z boson $p_T$ requirement.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed proton $\xi$ in the negative arm from the proton mixing procedure with simulated MC events, are compared to data. The $\mu\mu$ final states are shown.The $\mu\mu$ events are displayed without the Z boson $p_T$ requirement.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed proton $\xi$ in the positive arm from the proton mixing procedure with simulated MC events, are compared to data. The $\mu\mu$ final states are shown.The $\mu\mu$ events are displayed without the Z boson $p_T$ requirement.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed di-proton rapidity from the proton mixing procedure with simulated MC events, are compared to data. The $\mu\mu$ final states are shown.The $\mu\mu$ events are displayed without the Z boson $p_T$ requirement.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed proton $\xi$ in the negative arm from the proton mixing procedure with simulated MC events, are compared to data. The $\gamma$ final states are shown.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed proton $\xi$ in the positive arm from the proton mixing procedure with simulated MC events, are compared to data. The $\gamma$ final states are shown.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed di-proton rapidity from the proton mixing procedure with simulated MC events, are compared to data. The $\gamma$ final states are shown.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Validation of the background modelling method, using the $e\mu$ control sample. Selected $e\mu$ events are mixed with protons from $Z\rightarrow \mu \mu$ events with $p_{T}(Z)<10$ GeV to simulate the combinatorial background shape, while the data points are unaltered $e\mu$ events. The proton $\xi$ distribution for the positive CT-PPS arm is shown.

Validation of the background modelling method, using the $e\mu$ control sample. Selected $e\mu$ events are mixed with protons from $Z\rightarrow \mu \mu$ events with $p_{T}(Z)<10$ GeV to simulate the combinatorial background shape, while the data points are unaltered $e\mu$ events. The proton $\xi$ distribution for the negative CT-PPS arm is shown.

Validation of the background modelling method, using the $e\mu$ control sample. Selected $e\mu$ events are mixed with protons from $Z\rightarrow \mu \mu$ events with $p_{T}(Z)<10$ GeV to simulate the combinatorial background shape, while the data points are unaltered $e\mu$ events. The di-proton invariant mass is shown.

Validation of the background modelling method, using the $e\mu$ control sample. Selected $e\mu$ events are mixed with protons from $Z\rightarrow \mu \mu$ events with $p_{T}(Z)<10$ GeV to simulate the combinatorial background shape, while the data points are unaltered $e\mu$ events. The $m_{miss}$ is shown.

$m_{miss}$ distributions in the $pp\rightarrow ppZeeX$, with the protons reconstructed with the multi(+z)-multi(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow ppZeeX$, with the protons reconstructed with the multi(+z)-single(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow ppZeeX$, with the protons reconstructed with the single(+z)-multi(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow ppZeeX$, with the protons reconstructed with the single(+z)-single(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow ppZ\mu\mu X$, with the protons reconstructed with the multi(+z)-multi(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow ppZ\mu\mu X$, with the protons reconstructed with the multi(+z)-single(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow ppZ\mu\mu X$, with the protons reconstructed with the single(+z)-multi(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow ppZ\mu\mu X$, with the protons reconstructed with the single(+z)-single(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow pp\gamma X$, with the protons reconstructed with the multi(+z)-multi(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 10 pb.

$m_{miss}$ distributions in the $pp\rightarrow pp\gamma X$, with the protons reconstructed with the multi(+z)-single(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 10 pb.

$m_{miss}$ distributions in the $pp\rightarrow pp\gamma X$, with the protons reconstructed with the single(+z)-multi(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 10 pb.

$m_{miss}$ distributions in the $pp\rightarrow pp\gamma X$, with the protons reconstructed with the single(+z)-single(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 10 pb.

Upper limits on the $pp\rightarrow ppZ/\gamma X$ cross section at 95% CL, as a function of $m_X$. The 68 and 95% central intervals of the expected limits are represented by the green and yellow bands, respectively, while the observed limit is superimposed as a curve. The plot corresponds to the $Z\rightarrow ee$ analysis.

Upper limits on the $pp\rightarrow ppZ/\gamma X$ cross section at 95% CL, as a function of $m_X$. The 68 and 95% central intervals of the expected limits are represented by the green and yellow bands, respectively, while the observed limit is superimposed as a curve. The plot corresponds to the $Z\rightarrow \mu\mu$ analysis.

Upper limits on the $pp\rightarrow ppZ/\gamma X$ cross section at 95% CL, as a function of $m_X$. The 68 and 95% central intervals of the expected limits are represented by the green and yellow bands, respectively, while the observed limit is superimposed as a curve. The plot corresponds to the $Z$ analysis.

Upper limits on the $pp\rightarrow ppZ/\gamma X$ cross section at 95% CL, as a function of $m_X$. The 68 and 95% central intervals of the expected limits are represented by the green and yellow bands, respectively, while the observed limit is superimposed as a curve. The plot corresponds to the $\gamma$ analysis.

Measured diferential cross sections as a function of the transverse momentum of the lepton from the W decay.

Measured diferential cross sections ratio $R=\sigma(W^+ + \overline{c}) / \sigma(W^- + c)$ as a function of the absolute value of the pseudorapidity of the lepton from the W decay.

Measured diferential cross sections ratio $R=\sigma(W^+ + \overline{c}) / \sigma(W^- + c)$ as a function of the transverse momentum of the lepton from the W decay.

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.