The ratio $|C/A|$ of amplitudes of $\omega$ and $\rho^0$ mesons.

$d\sigma/dy$ for exclusively photoproduced $\rho^0$ mesons in $Xn\,Xn$ events.

$d\sigma/dy$ for exclusively photoproduced $\rho^0$ mesons in the previous STAR analysis, Phys. Rev. C 77 034910 (2008).

$d\sigma/dy$ for exclusively photoproduced $\rho^0$ mesons in $1n\,1n$ events.

The $-t$ distribution for exclusive $\rho^0$ mesons in events with $Xn\,Xn$ mutual event dissociation.

The $-t$ distribution for exclusive $\rho^0$ mesons in events with $1n\,1n$ mutual event dissociation.

$d\sigma/dt$ for coherent $\rho^0$ photoproduction in $Xn\,Xn$ events

$d\sigma/dt$ for coherent $\rho^0$ photoproduction in $1n\,1n$ events

The target distribution in the transverse plane, the result of a two-dimensional Fourier transform (Hankel transform) of the $1n\, 1n$ diffraction pattern shown in Fig. 8. The integration is limied to the region $|t| < 0.06 (\textrm{GeV}/c)^2$. The uncertainty is estimated by changing the maximum $-t$ to 0.05, 0.07, and 0.09 $(\textrm{GeV}/c)^2$

The target distribution in the transverse plane, the result of a two-dimensional Fourier transform (Hankel transform) of the $Xn\, Xn$ diffraction pattern shown in Fig. 8. The integration is limied to the region $|t| < 0.06 (\textrm{GeV}/c)^2$. The uncertainty is estimated by changing the maximum $-t$ to 0.05, 0.07, and 0.09 $(\textrm{GeV}/c)^2$

(Color online) $\Lambda$ and $\overline{\Lambda}$ spectra on the deuteron and on the gold side in $d$ + Au minimum bias collisions. The data points on the gold side are multiplied by 2 for better visibility. The statistical errors are smaller than the points marking the measurements. The curves show a fit with a Boltzmann function in transverse mass to the data points.

(Color online) (a) Comparison of the measured $\overline{\Lambda}$ yield with model calculations. Statistical errors are shown as vertical error bars, the vertical caps show the quadratic sum of statistical and systematic er- rors including the overall normalization uncertainty. In both panels the target and projectile beam rapidities are indicated by arrows.

(Color online) (b) Comparison of the net $\Lambda$ yield with model calculations. Statistical errors are shown as vertical error bars, the vertical caps show the quadratic sum of statistical and systematic er- rors including the overall normalization uncertainty. In both panels the target and projectile beam rapidities are indicated by arrows.

(Color online) Comparison of $\overline{\Lambda}$ and net $\Lambda$ yields to model calculations for all three centrality classes. Statistical errors are shown as vertical error bars, the vertical caps show the quadratic sum of statistical and systematic errors. Beam rapidity is indicated by arrows.

(Color online) Comparison of $\overline{\Lambda}$ and net $\Lambda$ yields to model calculations for all three centrality classes. Statistical errors are shown as vertical error bars, the vertical caps show the quadratic sum of statistical and systematic errors. Beam rapidity is indicated by arrows.

(Color online) Comparison of $\overline{\Lambda}$ and net $\Lambda$ yields to model calculations for all three centrality classes. Statistical errors are shown as vertical error bars, the vertical caps show the quadratic sum of statistical and systematic errors. Beam rapidity is indicated by arrows.

(Color online) Comparison of $\overline{\Lambda}$ and net $\Lambda$ yields to model calculations for all three centrality classes. Statistical errors are shown as vertical error bars, the vertical caps show the quadratic sum of statistical and systematic errors. Beam rapidity is indicated by arrows.

(Color online) Comparison of $\overline{\Lambda}$ and net $\Lambda$ yields to model calculations for all three centrality classes. Statistical errors are shown as vertical error bars, the vertical caps show the quadratic sum of statistical and systematic errors. Beam rapidity is indicated by arrows.

(Color online) Comparison of $\overline{\Lambda}$ and net $\Lambda$ yields to model calculations for all three centrality classes. Statistical errors are shown as vertical error bars, the vertical caps show the quadratic sum of statistical and systematic errors. Beam rapidity is indicated by arrows.

(Color online) Minimum bias $\overline{\Lambda}/\Lambda$ ratio compared to model calculations. On the deuteron side HIJING/BB shows the best agreement with the results, while on the Au side only AMPT and EPOS give a satisfactory description of the data.

$\overline{\Lambda}/\Lambda$ ratio and net $\Lambda$ and $\overline{\Lambda}$ yields as a function of collision centrality on both the deuteron (left) and the gold side (right). On the deuteron side, centrality is expressed by the number of collisions per deuteron participant, while on the gold side the number of Au participants is chosen. Only statistical errors are shown. The increase in baryon number transport with centrality, shown by the net $\Lambda$ yield, is matched by the increase of $\overline{\Lambda}$-$\Lambda$ pair production, thus keeping the $\overline{\Lambda}/\Lambda$ ratio constant over a wide centrality range.

$\overline{\Lambda}/\Lambda$ ratio and net $\Lambda$ and $\overline{\Lambda}$ yields as a function of collision centrality on both the deuteron (left) and the gold side (right). On the deuteron side, centrality is expressed by the number of collisions per deuteron participant, while on the gold side the number of Au participants is chosen. Only statistical errors are shown. The increase in baryon number transport with centrality, shown by the net $\Lambda$ yield, is matched by the increase of $\overline{\Lambda}$-$\Lambda$ pair production, thus keeping the $\overline{\Lambda}/\Lambda$ ratio constant over a wide centrality range.

$\overline{\Lambda}/\Lambda$ ratio and net $\Lambda$ and $\overline{\Lambda}$ yields as a function of collision centrality on both the deuteron (left) and the gold side (right). On the deuteron side, centrality is expressed by the number of collisions per deuteron participant, while on the gold side the number of Au participants is chosen. Only statistical errors are shown. The increase in baryon number transport with centrality, shown by the net $\Lambda$ yield, is matched by the increase of $\overline{\Lambda}$-$\Lambda$ pair production, thus keeping the $\overline{\Lambda}/\Lambda$ ratio constant over a wide centrality range.

$\overline{\Lambda}/\Lambda$ ratio and net $\Lambda$ and $\overline{\Lambda}$ yields as a function of collision centrality on both the deuteron (left) and the gold side (right). On the deuteron side, centrality is expressed by the number of collisions per deuteron participant, while on the gold side the number of Au participants is chosen. Only statistical errors are shown. The increase in baryon number transport with centrality, shown by the net $\Lambda$ yield, is matched by the increase of $\overline{\Lambda}$-$\Lambda$ pair production, thus keeping the $\overline{\Lambda}/\Lambda$ ratio constant over a wide centrality range.

(Color online) Net $\Lambda dN/dy$ for central, mid-central and peripheral events on both the deuteron and the Au side of the collision. The data are compared to calculations of the distribution of net baryons obtained with the Multichain model [16] with $\alpha$ = 2.9, scaled by 0.1 to account for the conversion from net baryons to net $\Lambda$. An overall scale uncertainty of 10% on the model curves from this conversion is not shown. See text for details.

The invariant mass distribution for the coherently produced $\rho^{0}$ candidates obtained from the topology sample with the cut on the $\rho^{0}$ transverse momentum $p_{T}$ < 150 MeV/c. The hatched area is the contribution from the combinatorial background. The solid line corresponds to Eq. 3 which encompasses the Breit-Wigner (dashed), the mass independent contribution from the direct $\pi^{+}\pi^{-}$ production (dash-dotted), and the interference term(dotted).

The ratio |B/A| as a function of $y_{\rho^{0}}$ for the minimum bias data, obtained by fitting Eq.3 to the invariant mass distributions in bins of $y_{\rho^{0}}$.

Coherent $\rho^{0}$ production cross-section for the minimum bias data set as a function of $y_{\rho^{0}}$ (black dots) overlaid by the $d\sigma/dy$ distribution predicted by the KN model [22] (solid line).

$\rho^{0}$ production cross-section as a function of the momentum transfer squared $t$, together with the fit of Eq. 5. The fit parameters are shown in Table I.

Comparison of theoretical predictions to the measured differential cross-section for coherent $\rho^{0}$ production. The statistical errors are shown by the solid vertical line at each data point. The sum of the statistical and systematic error bars is shown by the grey band.

Projections of the two dimensional efficiency corrected $\Phi_{h}$ vs $cos(\Theta_{h})$ distributions obtained with the minimum bias data set. The solid line shows the result of the two-dimensional fit to the data with Eq. 6 and the coefficients given in Tab. III.

Projections of the two dimensional efficiency corrected $\Phi_{h}$ vs $cos(\Theta_{h})$ distributions obtained with the minimum bias data set. The solid line shows the result of the two-dimensional fit to the data with Eq. 6 and the coefficients given in Tab. III.

The balance function versus $\Delta y$ for identified pion pairs from a) central and peripheral Au+Au collisions at $\sqrt{s_{NN}}$ = 130 GeV, and b) HIJING events simulated in GEANT [16]. To guide the eye, Gaussian fits excluding the lowest two bins in $\Delta y$ are shown. The error bars shown are statistical. The balance function for HIJING events is independent of centrality.

The balance function versus $\Delta y$ for identified pion pairs from a) central and peripheral Au+Au collisions at $\sqrt{s_{NN}}$ = 130 GeV, and b) HIJING events simulated in GEANT [16]. To guide the eye, Gaussian fits excluding the lowest two bins in $\Delta y$ are shown. The error bars shown are statistical. The balance function for HIJING events is independent of centrality.

The width of the balance function for identified charged pions, $⟨\Delta y⟩$, as a function of normalized impact parameter $(b/b_{max})$. Error bars shown are statistical. The width of the balance function from HIJING events is shown as a band whose height reflects the statistical uncertainty.

Upper plot: points are measured $p/E_{tower}$ electron peak position as a function of the distance to the center of the tower. The solid line is from a calculation based on a full GEANT simulation of the detector response to electrons. Lower plot: points show measured energy deposited by electrons in the tower as a function of the momentum for distances to the center of the tower smaller than 2.0 cm. The first point is the electron equivalent energy of the minimum ionizing particles. The solid line is a second order polynomial fit of the data.

Mean values from GEANT simulations of the energy deposited in the EMC by various hadronic species as a function of momentum.

Spatial profiles of energy deposition in the EMC as a function of distance ($d$) from the hit point to the center of the tower for $\pi^{+}$ and $\pi^{-}$ from simulations and for positive and negative hadrons from data. The arrow indicates the distance corresponding to the border of a tower in 0 < $\eta$ < 0.2. An overall agreement between the shapes of the profiles is observed, with a small normalization difference.

Event-by-event ratio of the reconstructed electromagnetic energy for the most central events. The solid line is a gaussian fit.

Total Transverse Energy for 0 < $\eta$ < 1. The minimum bias distribution is presented as well as the distributions for the different centrality bins (see table III). The shaded area corresponds to the 5% most central bin. The main axis scale corresponds to the $E_{T}$ measured in the detector acceptance and the bottom axis is corrected to represent the extrapolation to full azimuthal acceptance.

⟨$dE_{T}/d\eta|_{\eta=0.5}$⟩ per $N_{part}$ pair vs. $N_{part}$. Upper panel: $N_{part}$ is obtained from Monte Carlo Glauber calculations. The lines show calculations using the HIJING model [27](solid), the EKRT saturation model [7] (dotted, Eq. 8) and the two component fit (dashed, see text). Results from WA98 [14] and PHENIX [15] are also shown. The grey bands correspond to overall systematic uncertainties, independent of $N_{part}$. Error bars are the quadrature sum of the errors on the measurements and the uncertainties on $N_{part}$ calculation. Lower panel: the same data are shown as in the upper panel but using and Optical Glauber model calculation for $N_{part}$. The line shows the same result from EKRT model calculation.

⟨$dE_{T}/d\eta|_{\eta=0.5}$⟩ per $N_{part}$ pair vs. $N_{part}$. Upper panel: $N_{part}$ is obtained from Monte Carlo Glauber calculations. The lines show calculations using the HIJING model [27](solid), the EKRT saturation model [7] (dotted, Eq. 8) and the two component fit (dashed, see text). Results from WA98 [14] and PHENIX [15] are also shown. The grey bands correspond to overall systematic uncertainties, independent of $N_{part}$. Error bars are the quadrature sum of the errors on the measurements and the uncertainties on $N_{part}$ calculation. Lower panel: the same data are shown as in the upper panel but using and Optical Glauber model calculation for $N_{part}$. The line shows the same result from EKRT model calculation.

$dE_{T}/dy$ (see text for details) per $N_{part}$ pair vs $sqrt{s_{NN}}$ for central events. In this figure $dE_{T}/dy/(0.5N_{part})$ is seen to grow logarithmicaly with $sqrt{s_{NN}}$. The error bar in the STAR point represents the total systematic uncertainty. The solid line is a EKRT model prediction [7], corrected for $d\eta/dy$, for central Au+Au collisions.

Upper panel - ⟨$dE_{T}/d\eta⟩/⟨dN_{ch}/d\eta$⟩ vs $N_{part}$. Predictions from HIJING simulations for Au+Au at 200 GeV are presented. Results from WA98 [14] and PHENIX [15] are also shown. The grey band corresponds to an overall normalization uncertainty for the STAR measurement. Bottom panel - Charged hadrons mean transverse momentum as a function of $N_{part}$ [37].

Upper panel - ⟨$dE_{T}/d\eta⟩/⟨dN_{ch}/d\eta$⟩ vs $N_{part}$. Predictions from HIJING simulations for Au+Au at 200 GeV are presented. Results from WA98 [14] and PHENIX [15] are also shown. The grey band corresponds to an overall normalization uncertainty for the STAR measurement. Bottom panel - Charged hadrons mean transverse momentum as a function of $N_{part}$ [37].

⟨$dE_{T}/d\eta⟩/⟨dN_{ch}/d\eta$⟩ vs $sqrt{s_{NN}}$ for central events. The error bar in the STAR point corresponds to the systematic uncertaintiy. A constant value of ∼ 800 MeV per charged particle, within errors, characterizes transverse energy production over this full energy range.

Energy dependence of the electromagnetic fraction of the transverse energy for a number of systems spanning SPS to RHIC energy for central events.

Participant number dependence of the electromagnetic fraction of the total transverse energy. The results are consistent with HIJING within errors over the full centrality range.

$e^+$ $e^-$ invariant mass pair distributions of signal pairs compared to the inclusive unlike sign and reconstructed background pairs in 200 GeV Au+Au minimum-bias collisions.

Signal-to-background ratios in minimum bias p+p and Au+Au collisions.

Signal-to-background ratios in central p+p and Au+Au collisions.

Invariant mass spectrum in the STAR acceptance ($p_T^e$ > 0.2 GeV/c, |$\eta^e$| < 1, and |$y_{ee}$|) from SQRT($s_{NN}$) = 200 GeV Au+Au minimum-bias collisions.

Invariant mass spectrum in the STAR acceptance ($p_T^e$ > 0.2 GeV/c, |$\eta^e$| < 1, and |$y_{ee}$|) from SQRT($s_{NN}$) = 200 GeV Au+Au minimum-bias collisions.

Invariant mass spectra from SQRT($s_{NN}$ = 200 GeV Au+Au minimum-bias collisions in pT range 0 - 5 GeV/c. The ratio of dielectron yield over cocktail for different pT bins, and the comparison with model calculations.

Invariant mass spectra from SQRT($s_{NN}$ = 200 GeV Au+Au minimum-bias collisions in pT range 5 - 10 GeV/c. The ratio of dielectron yield over cocktail for different pT bins, and the comparison with model calculations.

Invariant mass spectra from SQRT($s_{NN}$ = 200 GeV Au+Au minimum-bias collisions in pT range 1 - 1.5 GeV/c. The ratio of dielectron yield over cocktail for different pT bins, and the comparison with model calculations.

Invariant mass spectra from SQRT($s_{NN}$ = 200 GeV Au+Au minimum-bias collisions in pT range 1.5 - 2 GeV/c. The ratio of dielectron yield over cocktail for different pT bins, and the comparison with model calculations.

Invariant mass spectra from SQRT($s_{NN}$ = 200 GeV Au+Au minimum-bias collisions integrated. The ratio of dielectron yield over cocktail for different pT bins, and the comparison with model calculations.

The integrated dielectron yield as a function of pair pT in invariant mass range 0 - 0.15 GeV/c^2 compared with cocktail. The ratio of dielectron yield over cocktail for different mass ranges as a function of pair pT.

The integrated dielectron yield as a function of pair pT in invariant mass range 0.15 - 0.3 GeV/c^2 compared with cocktail. The ratio of dielectron yield over cocktail for different mass ranges as a function of pair pT.

The integrated dielectron yield as a function of pair pT in invariant mass range 0.3 - 0.76 GeV/c^2 compared with cocktail. The ratio of dielectron yield over cocktail for different mass ranges as a function of pair pT.

The integrated dielectron yield as a function of pair pT in invariant mass range 0.76 - 1.05 GeV/c^2 compared with cocktail. The ratio of dielectron yield over cocktail for different mass ranges as a function of pair pT.

The integrated dielectron yield as a function of pair pT in invariant mass range 1.05 - 1.8 GeV/c^2 compared with cocktail. The ratio of dielectron yield over cocktail for different mass ranges as a function of pair pT.

The integrated dielectron yield as a function of pair pT in invariant mass range 1.8 - 2.8 GeV/c^2 compared with cocktail. The ratio of dielectron yield over cocktail for different mass ranges as a function of pair pT.

The integrated dielectron yield as a function of pair pT in invariant mass range 2.8 to 3.5 GeV/c^2 compared with cocktail. The ratio of dielectron yield over cocktail for different mass ranges as a function of pair pT.

Invariant mass spectra from SQRT($s_{NN}$) = 200 GeV Au+Au collisions in different centralities. The ratio of dielectron yield over cocktail for a centrality of 0-10%.

Invariant mass spectra from SQRT($s_{NN}$) = 200 GeV Au+Au collisions in different centralities. The ratio of dielectron yield over cocktail for a centrality of 10-40%.

Invariant mass spectra from SQRT($s_{NN}$) = 200 GeV Au+Au collisions in different centralities. The ratio of dielectron yield over cocktail for a centrality of 40-80%.

Invariant mass spectra from SQRT($s_{NN}$) = 200 GeV Au+Au collisions in different centralities. The ratio of dielectron yield over cocktail for minimum bias.

The integrated dielectron yield and ratio of dielectron yield over cocktail in different centralities for mass window 0 - 0.15 GeV/c^2, and the comparison with model calculations.

The integrated dielectron yield and ratio of dielectron yield over cocktail in different centralities for mass window 0.15 - 0.3 GeV/c^2, and the comparison with model calculations.

The integrated dielectron yield and ratio of dielectron yield over cocktail in different centralities for mass window 0.3 - 0.76 GeV/c^2, and the comparison with model calculations.

The integrated dielectron yield and ratio of dielectron yield over cocktail in different centralities for mass window 0.76 - 1.05 GeV/c^2, and the comparison with model calculations.

The integrated dielectron yield and ratio of dielectron yield over cocktail in different centralities for mass window 1.05 - 1.8 GeV/c^2, and the comparison with model calculations.

The integrated dielectron yield and ratio of dielectron yield over cocktail in different centralities for mass window 1.8 - 2.8 GeV/c^2, and the comparison with model calculations.

The integrated dielectron yield and ratio of dielectron yield over cocktail in different centralities for mass window 2.8 - 3.5 GeV/c^2, and the comparison with model calculations.

Dielectron invariant mass spectra from minimum-bias.

Dielectron invariant mass spectra from the most central (0-10%) collisions that we are able to achieve most statistics at present.

The ratio of the Npart-scaled dielectron yield between minimum-bias and the most central collisions.

Mass spectrum of the excess (data - cocktail) in the low-mass region in Au+Au minimum-bias collisions compared to model calculations.

The yields scaled by Npart for the $\rho$-like region with the cocktail subtracted.

The Omega-like region without cocktail subtraction as a function of Npart.

The Phi-like region without cocktail subtraction as a function of Npart.

Correlated charm contributions to the dielectron mass spectra for different assumptions of the correlation strength.

Slope parameters Teff versus invariant mass for dielectrons from charm hadron decays.

Omega meson invariant mass distribution from SQRT($s_{NN}$) = 200 GeV Au+Au minimum-bias collisions after subtraction of the combinatorial background using the mixed-event method.

Phi meson invariant mass distribution from SQRT($s_{NN}$) = 200 GeV Au+Au minimum-bias collisions after subtraction of the combinatorial background using the mixed-event method.

The widths and mass positions of the omega signal from data compared to the values from the PDG and the full Geant simulation.

The widths and mass positions of the phi signal from data compared to the values from the PDG and the full Geant simulation.

The efficiency and acceptance correction factor as function of pT for mid-rapidity omega and phi mesons.

The pT distributions of the omega meson invariant yields from SQRT($s_{NN}$) = 200 GeV Au+Au minimum-bias collisions.

The pT distributions of the phi meson invariant yields from SQRT($s_{NN}$) = 200 GeV Au+Au minimum-bias collisions.

Unlike-sign/like-sign pair acceptance difference correction factor with the PHENIX phi acceptance compared with the full acceptance.

Efficiency corrected invariant mass spectra calculated using the STAR data filtered with the PHENIX azimuthal angle acceptance. The data points are compared to cocktail simulations.

The same data points compared to theoretical model calculations of medium vector meson and QGP contributions.