Reference multiplicity distributions obtained from Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 3 GeV data (black markers), Glauber model (red histogram), and unfolding approach to separate single and pileup contributions. Vertical lines represent statistical uncertainties. Single, pileup, and single+pileup collisions are shown in solid blue markers, dashed green, and dashed pink lines, respectively. The 0–5% central events and 5–60% mid-central to peripheral events are indicated by black arrows. The ratio of the single+pileup to the measured multiplicity distribution is shown in the lower panel.

Reference multiplicity distributions obtained from Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 3 GeV data (black markers), Glauber model (red histogram), and unfolding approach to separate single and pileup contributions. Vertical lines represent statistical uncertainties. Single, pileup, and single+pileup collisions are shown in solid blue markers, dashed green, and dashed pink lines, respectively. The 0–5% central events and 5–60% mid-central to peripheral events are indicated by black arrows. The ratio of the single+pileup to the measured multiplicity distribution is shown in the lower panel.

Proton cumulants as a function of reference multiplicity (black circles) from $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions. Centrality-binned results with and without centrality bin width corrections are represented by red circles and blue squares, respectively. Vertical dashed lines indicate the centrality classes, from right to left: 0–5%, 5–10%, 10–20%. Data points in this figure are only corrected for detector efficiency but not for the pileup effect, which will be discussed in a later section.

Proton cumulants as a function of reference multiplicity (black circles) from $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions. Centrality-binned results with and without centrality bin width corrections are represented by red circles and blue squares, respectively. Vertical dashed lines indicate the centrality classes, from right to left: 0–5%, 5–10%, 10–20%. Data points in this figure are only corrected for detector efficiency but not for the pileup effect, which will be discussed in a later section.

Proton cumulants as a function of reference multiplicity (black circles) from $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions. Centrality-binned results with and without centrality bin width corrections are represented by red circles and blue squares, respectively. Vertical dashed lines indicate the centrality classes, from right to left: 0–5%, 5–10%, 10–20%. Data points in this figure are only corrected for detector efficiency but not for the pileup effect, which will be discussed in a later section.

Proton cumulants as a function of reference multiplicity from $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions. Pileup corrected and uncorrected cumulants as a function of reference multiplicity are represented by black circles and blue open squares, respectively. Red circles and blue-filled squares represent the results of centrality binned data.

Proton cumulants as a function of reference multiplicity from $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions. Pileup corrected and uncorrected cumulants as a function of reference multiplicity are represented by black circles and blue open squares, respectively. Red circles and blue-filled squares represent the results of centrality binned data.

Ratios of proton cumulants as a function of reference multiplicity from $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions. Pileup corrected and uncorrected cumulants are represented by black circles and blue open squares, respectively. Red circles and blue-filled squares represent the results of centrality binned data.

Ratios of proton cumulants as a function of reference multiplicity from $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions. Pileup corrected and uncorrected cumulants are represented by black circles and blue open squares, respectively. Red circles and blue-filled squares represent the results of centrality binned data.

UrQMD results of the proton cumulant ratios up to sixth order in Au+Au collisions at $\sqrt{s_{\rm NN}}$= 3 GeV. The black circles are without VF correction while blue squares and red triangles are results with VFC which used $N_{\rm part}$ distributions from UrQMD and Glauber models, respectively. The blue crosses are calculations using UrQMD events with b $\leq$ 3 fm. The above results are applied CBWC except for the one (blue crosses) using b $\leq$3 fm events.

UrQMD results of the proton cumulant ratios up to sixth order in Au+Au collisions at $\sqrt{s_{\rm NN}}$= 3 GeV. The black circles are without VF correction while blue squares and red triangles are results with VFC which used $N_{\rm part}$ distributions from UrQMD and Glauber models, respectively. The blue crosses are calculations using UrQMD events with b $\leq$ 3 fm. The above results are applied CBWC except for the one (blue crosses) using b $\leq$3 fm events.

Proton cumulants up to sixth order in $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions. Data without volume fluctuation correction is shown as grey open squares while data with volume fluctuation correction using $N_{\rm part}$ distributions from Glauber and UrQMD models are shown as black circles and black open triangles, respectively. The corresponding centrality binned cumulants are shown in blue squares, red circles, and orange triangles, respectively. Similarly to Fig. 6, the vertical dashed lines indicate the centrality classes.

Proton cumulants up to sixth order in $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions. Data without volume fluctuation correction is shown as grey open squares while data with volume fluctuation correction using $N_{\rm part}$ distributions from Glauber and UrQMD models are shown as black circles and black open triangles, respectively. The corresponding centrality binned cumulants are shown in blue squares, red circles, and orange triangles, respectively. Similarly to Fig. 6, the vertical dashed lines indicate the centrality classes.

Proton cumulant ratios up to sixth order in $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions. Data without volume fluctuation correction are shown as grey open squares while data with volume fluctuation correction using $N_{\rm part}$ distributions from Glauber and UrQMD models are shown as black circles and black open triangles, respectively. The corresponding centrality binned cumulants are shown in blue squares, red circles, and orange triangles, respectively. Similarly to Fig. 6, the vertical dashed lines indicate the centrality classes.

Proton cumulant ratios up to sixth order in $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions. Data without volume fluctuation correction are shown as grey open squares while data with volume fluctuation correction using $N_{\rm part}$ distributions from Glauber and UrQMD models are shown as black circles and black open triangles, respectively. The corresponding centrality binned cumulants are shown in blue squares, red circles, and orange triangles, respectively. Similarly to Fig. 6, the vertical dashed lines indicate the centrality classes.

UrQMD results of proton cumulant ratios up to sixth order in Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 3 GeV. The vertical dashed lines indicate the centrality classes.

Experimental results on centrality dependence of cumulants (left panels) and cumulant ratios (right panels) up to sixth order of the proton multiplicity distributions in Au+Au collisions at $N_{\rm part}$ = 3 GeV. The open squares are data without VF correction while red circles and blue triangles are results with VF correction with $N_{\rm part}$ distributions from Glauber and UrQMD models, respectively.

Experimental results on centrality dependence of cumulants (left panels) and cumulant ratios (right panels) up to sixth order of the proton multiplicity distributions in Au+Au collisions at $N_{\rm part}$ = 3 GeV. The open squares are data without VF correction while red circles and blue triangles are results with VF correction with $N_{\rm part}$ distributions from Glauber and UrQMD models, respectively.

Same as Fig. 14 but for correlation function (left panels) and their normalized ratios (right panels).

Same as Fig. 14 but for correlation function (left panels) and their normalized ratios (right panels).

Cumulants and cumulant ratios of proton multiplicity distributions for Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 3 GeV. The transverse momentum window is $p_{\rm T}$ from $0.4<p_{\rm T}<2.0$ GeV/$c$ and the rapidity window is $−0.5<y<0$. Statistical and systematic uncertainties are represented by black and gray bars, respectively. UrQMD predictions are depicted by gold bands.

Cumulants and cumulant ratios of proton multiplicity distributions for Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 3 GeV. The transverse momentum window is $p_{\rm T}$ from $0.4<p_{\rm T}<2.0$ GeV/$c$ and the rapidity window is $−0.5<y<0$. Statistical and systematic uncertainties are represented by black and gray bars, respectively. UrQMD predictions are depicted by gold bands.

Same as Fig. 16 but for correlation functions and correlation function ratios of proton multiplicity distributions for Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 3 GeV.

Same as Fig. 16 but for correlation functions and correlation function ratios of proton multiplicity distributions for Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 3 GeV.

The transverse-momentum and rapidity dependence of cumulant ratios of proton multiplicity distributions for Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 3 GeV. In the left column, the $p_{\rm T}$ analysis window is $0.4<p_{\rm T}<2.0$ GeV/$c$ while the rapidity window is varied in the range $y_{\rm min}<y<0$. In the right column, the rapidit$y$ analysis window is $−0.5<y<0$ while the $p_{\rm T}$ is varied in the range $0.4<p_{\rm T}<p_{\rm T}^{\rm max}$ GeV/$c$. The most central (0–5%) and peripheral (50–60%) events are depicted by black squares and blue triangles, respectively. Statistical and systematic uncertainties are represented by black and gray bars, respectively. UrQMD simulations for the top 0–5% and 50–60% are shown by gold and blue bands, respectively.

The transverse-momentum and rapidity dependence of cumulant ratios of proton multiplicity distributions for Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 3 GeV. In the left column, the $p_{\rm T}$ analysis window is $0.4<p_{\rm T}<2.0$ GeV/$c$ while the rapidity window is varied in the range $y_{\rm min}<y<0$. In the right column, the rapidit$y$ analysis window is $−0.5<y<0$ while the $p_{\rm T}$ is varied in the range $0.4<p_{\rm T}<p_{\rm T}^{\rm max}$ GeV/$c$. The most central (0–5%) and peripheral (50–60%) events are depicted by black squares and blue triangles, respectively. Statistical and systematic uncertainties are represented by black and gray bars, respectively. UrQMD simulations for the top 0–5% and 50–60% are shown by gold and blue bands, respectively.

The transverse-momentum and rapidity dependence of cumulant ratios of proton multiplicity distributions for Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 3 GeV. In the left column, the $p_{\rm T}$ analysis window is $0.4<p_{\rm T}<2.0$ GeV/$c$ while the rapidity window is varied in the range $y_{\rm min}<y<0$. In the right column, the rapidit$y$ analysis window is $−0.5<y<0$ while the $p_{\rm T}$ is varied in the range $0.4<p_{\rm T}<p_{\rm T}^{\rm max}$ GeV/$c$. The most central (0–5%) and peripheral (50–60%) events are depicted by black squares and blue triangles, respectively. Statistical and systematic uncertainties are represented by black and gray bars, respectively. UrQMD simulations for the top 0–5% and 50–60% are shown by gold and blue bands, respectively.

The transverse-momentum and rapidity dependence of cumulant ratios of proton multiplicity distributions for Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 3 GeV. In the left column, the $p_{\rm T}$ analysis window is $0.4<p_{\rm T}<2.0$ GeV/$c$ while the rapidity window is varied in the range $y_{\rm min}<y<0$. In the right column, the rapidit$y$ analysis window is $−0.5<y<0$ while the $p_{\rm T}$ is varied in the range $0.4<p_{\rm T}<p_{\rm T}^{\rm max}$ GeV/$c$. The most central (0–5%) and peripheral (50–60%) events are depicted by black squares and blue triangles, respectively. Statistical and systematic uncertainties are represented by black and gray bars, respectively. UrQMD simulations for the top 0–5% and 50–60% are shown by gold and blue bands, respectively.

As in Fig. 18 but for transverse-momentum and rapidity dependence of correlation function ratios of proton multiplicity distributions for Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 3 GeV.

As in Fig. 18 but for transverse-momentum and rapidity dependence of correlation function ratios of proton multiplicity distributions for Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 3 GeV.

As in Fig. 18 but for transverse-momentum and rapidity dependence of correlation function ratios of proton multiplicity distributions for Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 3 GeV.

As in Fig. 18 but for transverse-momentum and rapidity dependence of correlation function ratios of proton multiplicity distributions for Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 3 GeV.

Collision energy dependence of the cumulant ratios: $C_2/C_1=\sigma/M$, $C_3/C_2=S\sigma$, and $C_4/C_2=\kappa\sigma^2$, for protons (open squares) and net protons (red circles) from top 0–5% (top panels) and 50–60% (bottom panels) Au+Au collisions at RHIC. The points for protons are shifted horizontally for clarity. The new result for protons from $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions is shown as a filled square. UrQMD results with $|y|<0.5$ for protons are shown as gold bands while those for net protons are shown as green dashed lines or green bands. At 3GeV, the model results for protons (−0.5) are shown as blue crosses. UrQMD results of proton and net-proton $C_4/C_2$, see right panels, are almost totally overlapped. The open cross is the result of the model with a fixed impact parameter $b < 3$ fm. The hydrodynamic calculations, for 5% central Au+Au collisions, for protons from $|y|<0.5$ are shown as dashed red linea and the result of the 3 GeV protons from $−0.5<y<0$ is shown as an open red star.

Collision energy dependence of the cumulant ratios: $C_2/C_1=\sigma/M$, $C_3/C_2=S\sigma$, and $C_4/C_2=\kappa\sigma^2$, for protons (open squares) and net protons (red circles) from top 0–5% (top panels) and 50–60% (bottom panels) Au+Au collisions at RHIC. The points for protons are shifted horizontally for clarity. The new result for protons from $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions is shown as a filled square. UrQMD results with $|y|<0.5$ for protons are shown as gold bands while those for net protons are shown as green dashed lines or green bands. At 3GeV, the model results for protons (−0.5) are shown as blue crosses. UrQMD results of proton and net-proton $C_4/C_2$, see right panels, are almost totally overlapped. The open cross is the result of the model with a fixed impact parameter $b < 3$ fm. The hydrodynamic calculations, for 5% central Au+Au collisions, for protons from $|y|<0.5$ are shown as dashed red linea and the result of the 3 GeV protons from $−0.5<y<0$ is shown as an open red star.

Collision energy dependence of the cumulant ratios: $C_2/C_1=\sigma/M$, $C_3/C_2=S\sigma$, and $C_4/C_2=\kappa\sigma^2$, for protons (open squares) and net protons (red circles) from top 0–5% (top panels) and 50–60% (bottom panels) Au+Au collisions at RHIC. The points for protons are shifted horizontally for clarity. The new result for protons from $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions is shown as a filled square. UrQMD results with $|y|<0.5$ for protons are shown as gold bands while those for net protons are shown as green dashed lines or green bands. At 3GeV, the model results for protons (−0.5) are shown as blue crosses. UrQMD results of proton and net-proton $C_4/C_2$, see right panels, are almost totally overlapped. The open cross is the result of the model with a fixed impact parameter $b < 3$ fm. The hydrodynamic calculations, for 5% central Au+Au collisions, for protons from $|y|<0.5$ are shown as dashed red linea and the result of the 3 GeV protons from $−0.5<y<0$ is shown as an open red star.

Collision energy dependence of the cumulant ratios: $C_2/C_1=\sigma/M$, $C_3/C_2=S\sigma$, and $C_4/C_2=\kappa\sigma^2$, for protons (open squares) and net protons (red circles) from top 0–5% (top panels) and 50–60% (bottom panels) Au+Au collisions at RHIC. The points for protons are shifted horizontally for clarity. The new result for protons from $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions is shown as a filled square. UrQMD results with $|y|<0.5$ for protons are shown as gold bands while those for net protons are shown as green dashed lines or green bands. At 3GeV, the model results for protons (−0.5) are shown as blue crosses. UrQMD results of proton and net-proton $C_4/C_2$, see right panels, are almost totally overlapped. The open cross is the result of the model with a fixed impact parameter $b < 3$ fm. The hydrodynamic calculations, for 5% central Au+Au collisions, for protons from $|y|<0.5$ are shown as dashed red linea and the result of the 3 GeV protons from $−0.5<y<0$ is shown as an open red star.

Collision energy dependence of the cumulant ratios: $C_2/C_1=\sigma/M$, $C_3/C_2=S\sigma$, and $C_4/C_2=\kappa\sigma^2$, for protons (open squares) and net protons (red circles) from top 0–5% (top panels) and 50–60% (bottom panels) Au+Au collisions at RHIC. The points for protons are shifted horizontally for clarity. The new result for protons from $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions is shown as a filled square. UrQMD results with $|y|<0.5$ for protons are shown as gold bands while those for net protons are shown as green dashed lines or green bands. At 3GeV, the model results for protons (−0.5) are shown as blue crosses. UrQMD results of proton and net-proton $C_4/C_2$, see right panels, are almost totally overlapped. The open cross is the result of the model with a fixed impact parameter $b < 3$ fm. The hydrodynamic calculations, for 5% central Au+Au collisions, for protons from $|y|<0.5$ are shown as dashed red linea and the result of the 3 GeV protons from $−0.5<y<0$ is shown as an open red star.

Collision energy dependence of the cumulant ratios: $C_2/C_1=\sigma/M$, $C_3/C_2=S\sigma$, and $C_4/C_2=\kappa\sigma^2$, for protons (open squares) and net protons (red circles) from top 0–5% (top panels) and 50–60% (bottom panels) Au+Au collisions at RHIC. The points for protons are shifted horizontally for clarity. The new result for protons from $\sqrt{s_{\rm NN}}$ = 3 GeV Au+Au collisions is shown as a filled square. UrQMD results with $|y|<0.5$ for protons are shown as gold bands while those for net protons are shown as green dashed lines or green bands. At 3GeV, the model results for protons (−0.5) are shown as blue crosses. UrQMD results of proton and net-proton $C_4/C_2$, see right panels, are almost totally overlapped. The open cross is the result of the model with a fixed impact parameter $b < 3$ fm. The hydrodynamic calculations, for 5% central Au+Au collisions, for protons from $|y|<0.5$ are shown as dashed red linea and the result of the 3 GeV protons from $−0.5<y<0$ is shown as an open red star.

'Identified transverse momentum spectra of $\pi^{-}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV'

'Identified transverse momentum spectra of $K^{-}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV'

'Identified transverse momentum spectra of $\bar{p}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV'

'Average transverse momentum as a function of $\langle$N$_{part}$$\rangle$ for $\pi^{+}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'Average transverse momentum as a function of $\langle$N$_{part}$$\rangle$ for $K^{+}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'Average transverse momentum as a function of $\langle$N$_{part}$$\rangle$ for p at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'dN/dy scaled by 0.5 × $\langle$N$_{part}$$\rangle$ as a function of $\langle$N$_{part}$$\rangle$ for $\pi^{+}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'dN/dy scaled by 0.5 × $\langle$N$_{part}$$\rangle$ as a function of $\langle$N$_{part}$$\rangle$ for $K^{+}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'dN/dy scaled by 0.5 × $\langle$N$_{part}$$\rangle$ as a function of $\langle$N$_{part}$$\rangle$ for p at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'dN/dy scaled by 0.5 × $\langle$N$_{part}$$\rangle$ as a function of $\langle$N$_{part}$$\rangle$ for $\bar{p}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'$\pi^{−}$/$\pi^{+}$ ratio as a function of $\langle$N$_{part}$$\rangle$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'$K^{−}$/$K^{+}$ ratio as a function of $\langle$N$_{part}$$\rangle$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'$\bar{p}$/p ratio as a function of $\langle$N$_{part}$$\rangle$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'$K^{+}$/$\pi^{+}$ ratio as a function of $\langle$N$_{part}$$\rangle$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'$K^{-}$/$\pi^{-}$ ratio as a function of $\langle$N$_{part}$$\rangle$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'p/$\pi^{+}$ ratio as a function of $\langle$N$_{part}$$\rangle$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'$\bar{p}$/$\pi^{-}$ ratio as a function of $\langle$N$_{part}$$\rangle$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

Example of combinatorial background subtracted invariant mass distributions and the extracted yields as a function of $\cos \theta^*$ for $\phi$ and $K^{*0}$ mesons. \textbf{a)} example of $\phi \rightarrow K^+ + K^-$ invariant mass distributions, with combinatorial background subtracted, integrated over $\cos \theta^*$; \textbf{b)} example of $K^{*0} (\overline{K^{*0}}) \rightarrow K^{-} \pi^{+} (K^{+} \pi^{-})$ invariant mass distributions, with combinatorial background subtracted, integrated over $\cos \theta^*$; \textbf{c)} extracted yields of $\phi$ as a function of $\cos \theta^*$; \textbf{d)} extracted yields of $K^{*0}$ as a function of $\cos \theta^*$.

Example of combinatorial background subtracted invariant mass distributions and the extracted yields as a function of $\cos \theta^*$ for $\phi$ and $K^{*0}$ mesons. \textbf{a)} example of $\phi \rightarrow K^+ + K^-$ invariant mass distributions, with combinatorial background subtracted, integrated over $\cos \theta^*$; \textbf{b)} example of $K^{*0} (\overline{K^{*0}}) \rightarrow K^{-} \pi^{+} (K^{+} \pi^{-})$ invariant mass distributions, with combinatorial background subtracted, integrated over $\cos \theta^*$; \textbf{c)} extracted yields of $\phi$ as a function of $\cos \theta^*$; \textbf{d)} extracted yields of $K^{*0}$ as a function of $\cos \theta^*$.

Example of combinatorial background subtracted invariant mass distributions and the extracted yields as a function of $\cos \theta^*$ for $\phi$ and $K^{*0}$ mesons. \textbf{a)} example of $\phi \rightarrow K^+ + K^-$ invariant mass distributions, with combinatorial background subtracted, integrated over $\cos \theta^*$; \textbf{b)} example of $K^{*0} (\overline{K^{*0}}) \rightarrow K^{-} \pi^{+} (K^{+} \pi^{-})$ invariant mass distributions, with combinatorial background subtracted, integrated over $\cos \theta^*$; \textbf{c)} extracted yields of $\phi$ as a function of $\cos \theta^*$; \textbf{d)} extracted yields of $K^{*0}$ as a function of $\cos \theta^*$.

Efficiency corrected $\phi$-meson yields as a function of cos$\theta$* and corresponding fits with Eq.1 in the method section.

Efficiency and acceptance corrected $K^{*0}$-meson yields as a function of cos$\theta$* and corresponding fits with Eq.4 in the method section.

$\phi$-meson $\rho_{00}$ obtained from 1st- and 2nd-order event planes. The red stars (gray squares) show the $\phi$-meson $\rho_{00}$ as a function of beam energy, obtained with the 2nd-order (1st-order) EP.

$\phi$-meson $\rho_{00}$ with respect to different quantization axes. $\phi$-meson $\rho_{00}$ as a function of beam energy, for the out-of-plane direction (stars) and the in-plane direction (diamonds). Curves are fits based on theoretical calculations with a $\phi$-meson field. The corresponding $G_s^{(y)}$ values obtained from the fits are shown in the legend.

$\rho_{00}$ as a function of transverse momentum for $\phi$ for different collision energies. The gray squares and red stars are results obtained with the 1st- and 2nd-order EP, respectively.

$\rho_{00}$ as a function of transverse momentum for $\phi$ for different collision energies. The gray squares and red stars are results obtained with the 1st- and 2nd-order EP, respectively.

$\rho_{00}$ as a function of transverse momentum for $\phi$ for different collision energies. The gray squares and red stars are results obtained with the 1st- and 2nd-order EP, respectively.

$\rho_{00}$ as a function of transverse momentum for $\phi$ for different collision energies. The gray squares and red stars are results obtained with the 1st- and 2nd-order EP, respectively.

$\rho_{00}$ as a function of transverse momentum for $\phi$ for different collision energies. The gray squares and red stars are results obtained with the 1st- and 2nd-order EP, respectively.

$\rho_{00}$ as a function of transverse momentum for $\phi$ for different collision energies. The gray squares and red stars are results obtained with the 1st- and 2nd-order EP, respectively.

$\rho_{00}$ as a function of transverse momentum for $\phi$ for different collision energies. The gray squares and red stars are results obtained with the 1st- and 2nd-order EP, respectively.

$\rho_{00}$ as a function of transverse momentum for $\phi$ for different collision energies. The gray squares and red stars are results obtained with the 1st- and 2nd-order EP, respectively.

$\rho_{00}$ as a function of transverse momentum for $\phi$ for different collision energies. The gray squares and red stars are results obtained with the 1st- and 2nd-order EP, respectively.

$\rho_{00}$ as a function of transverse momentum for $\phi$ for different collision energies. The gray squares and red stars are results obtained with the 1st- and 2nd-order EP, respectively.

$\rho_{00}$ as a function of transverse momentum for $\phi$ for different collision energies. The gray squares and red stars are results obtained with the 1st- and 2nd-order EP, respectively.

$\rho_{00}$ as a function of transverse momentum for $\phi$ for different collision energies. The gray squares and red stars are results obtained with the 1st- and 2nd-order EP, respectively.

$\rho_{00}$ as a function of transverse momentum for $K^{*0}$ for different collision energies.

$\rho_{00}$ as a function of transverse momentum for $K^{*0}$ for different collision energies.

$\rho_{00}$ as a function of transverse momentum for $K^{*0}$ for different collision energies.

$\rho_{00}$ as a function of transverse momentum for $K^{*0}$ for different collision energies.

$\rho_{00}$ as a function of transverse momentum for $K^{*0}$ for different collision energies.

$\rho_{00}$ as a function of transverse momentum for $K^{*0}$ for different collision energies.

$\rho_{00}$ as a function of transverse momentum for $K^{*0}$ for different collision energies.

$\rho_{00}$ as a function of centrality for $\phi$ (upper panels) and $K^{*0}$ (lower panels). The solid squares and stars are results for the $\phi$ meson, obtained with the 1st- and 2nd-order EP, respectively. The solid circles are results for the $K^{*0}$ meson, obtained with the 2nd-order EP.}

$\rho_{00}$ as a function of centrality for $\phi$ (upper panels) and $K^{*0}$ (lower panels). The solid squares and stars are results for the $\phi$ meson, obtained with the 1st- and 2nd-order EP, respectively. The solid circles are results for the $K^{*0}$ meson, obtained with the 2nd-order EP.}

$\rho_{00}$ as a function of centrality for $\phi$ (upper panels) and $K^{*0}$ (lower panels). The solid squares and stars are results for the $\phi$ meson, obtained with the 1st- and 2nd-order EP, respectively. The solid circles are results for the $K^{*0}$ meson, obtained with the 2nd-order EP.}

$\rho_{00}$ as a function of centrality for $\phi$ (upper panels) and $K^{*0}$ (lower panels). The solid squares and stars are results for the $\phi$ meson, obtained with the 1st- and 2nd-order EP, respectively. The solid circles are results for the $K^{*0}$ meson, obtained with the 2nd-order EP.}

$\rho_{00}$ as a function of centrality for $\phi$ (upper panels) and $K^{*0}$ (lower panels). The solid squares and stars are results for the $\phi$ meson, obtained with the 1st- and 2nd-order EP, respectively. The solid circles are results for the $K^{*0}$ meson, obtained with the 2nd-order EP.}

$\rho_{00}$ as a function of centrality for $\phi$ (upper panels) and $K^{*0}$ (lower panels). The solid squares and stars are results for the $\phi$ meson, obtained with the 1st- and 2nd-order EP, respectively. The solid circles are results for the $K^{*0}$ meson, obtained with the 2nd-order EP.}

$\rho_{00}$ as a function of centrality for $\phi$ (upper panels) and $K^{*0}$ (lower panels). The solid squares and stars are results for the $\phi$ meson, obtained with the 1st- and 2nd-order EP, respectively. The solid circles are results for the $K^{*0}$ meson, obtained with the 2nd-order EP.}

Global spin alignment measurement of $\phi$ and $K^{*0}$ vector mesons in Au+Au collisions at 0-20\% centrality. The solid squares and stars are results for the $\phi$ meson, obtained with the 1st- and 2nd-order EP, respectively. The solid circles are results for $K^{*0}$-meson, obtained with the 2nd-order EP.

Global spin alignment measurement of $\phi$ and $K^{*0}$ vector mesons in Au+Au collisions at 0-20\% centrality. The solid squares and stars are results for the $\phi$ meson, obtained with the 1st- and 2nd-order EP, respectively. The solid circles are results for $K^{*0}$-meson, obtained with the 2nd-order EP.

fig2_left_top_isobarpaper_star_blue_case2_ruru_nonzeros.

fig2_left_top_isobarpaper_star_grey_data_ruru_nonzeros.

fig2_left_top_isobarpaper_star_red_case3_ruru_nonzeros.

fig2_right_isobarpaper_star_grey_data_nonzero.

fig2_right_low_isobarpaper_star_red_case3_nonzero.

fig2_right_top_isobarpaper_star_blue_case2_nonzero.

fig3_olow_isobarpaper_star_blue_mean_multiplicity_ratio.

fig3_otop_isobarpaper_star_blue_open_mean_multiplicity_zrzr.

fig3_otop_isobarpaper_star_blue_solid_mean_multiplicity_ruru.

fig4_left_low_isobarpaper_star_blue_v2_tpc_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig4_left_low_isobarpaper_star_green_v2_tpc_eta_gt1_ratio.

fig4_left_low_isobarpaper_star_purple_v2_subEv_ratio.

fig4_left_low_isobarpaper_star_red_v2_epd_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig4_left_low_isobarpaper_star_yellow_v2_EP_ratio.

fig4_left_top_isobarpaper_star_blue_open_v2_2_zrzr.

fig4_left_top_isobarpaper_star_blue_solid_v2_2_ruru.

fig4_left_top_isobarpaper_star_green_open_v2_tpc_eta_gt1_zrzr.

fig4_left_top_isobarpaper_star_green_solid_v2_tpc_eta_gt1_ruru.

fig4_left_top_isobarpaper_star_purple_open_v2_subEv_zrzr.

fig4_left_top_isobarpaper_star_purple_solid_v2_subEv_ruru.

fig4_left_top_isobarpaper_star_red_open_v2_tpcepd_zrzr.

fig4_left_top_isobarpaper_star_red_solid_v2_tpcepd_ruru.

fig4_left_top_isobarpaper_star_yellow_open_v2_EP_zrzr.

fig4_left_top_isobarpaper_star_yellow_solid_v2_EP_ruru.

fig4_right_low_isobarpaper_star_green_v2_4_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig4_right_low_isobarpaper_star_green_v2_zdc_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig4_right_top_isobarpaper_star_green_open_v2_4_zrzr. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values". "Imaginary number of v_2{4} is presented as negative value”

fig4_right_top_isobarpaper_star_green_solid_v2_4_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values". "Imaginary number of v_2{4} is presented as negative value”

fig4_right_top_isobarpaper_star_grey_open_v2_zdc_zrzr.

fig4_right_top_isobarpaper_star_grey_solid_v2_zdc_ruru.

fig5_olow_isobarpaper_star_green_group-2. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig5_olow_isobarpaper_star_purple_group-4.

fig5_olow_isobarpaper_star_yellow_group-3. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig5_otop_isobarpaper_star_blue_group-1. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig5_otop_isobarpaper_star_green_group-2.

fig5_otop_isobarpaper_star_red_group-3. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig6_olow_isobarpaper_star_blue_solid_v2_ratio.

fig6_otop_isobarpaper_star_blue_open_v2_zrzr.

fig6_otop_isobarpaper_star_blue_solid_v2_ruru.

fig7_otop_isobarpaper_star_blue_open_Ddelta_zrzr.

fig7_otop_isobarpaper_star_blue_solid_Ddelta_ratio.

fig7_otop_isobarpaper_star_blue_solid_Ddelta_ruru.

fig8_olow_isobarpaper_star_blue_solid_Dgamma_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig8_otop_isobarpaper_star_blue_open_Dgamma_zrzr.

fig8_otop_isobarpaper_star_blue_solid_Dgamma_ruru.

fig9_olow_isobarpaper_star_blue_solid_kappa_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig9_otop_isobarpaper_star_blue_open_kappa_zrzr. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig9_otop_isobarpaper_star_blue_solid_kappa_ruru.

fig10_left_low_isobarpaper_star_blue_v2_tpc_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig10_left_low_isobarpaper_star_green_v3_tpc_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig10_left_low_isobarpaper_star_red_v2_epd_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig10_left_low_isobarpaper_star_yellow_v3_epd_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig10_left_mid_isobarpaper_star_green_open_v3_tpc_zrzr. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig10_left_mid_isobarpaper_star_green_solid_v3_tpc_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig10_left_mid_isobarpaper_star_yellow_open_v3_epd_zrzr.

fig10_left_mid_isobarpaper_star_yellow_solid_v3_epd_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig10_left_top_isobarpaper_star_blue_open_v2_tpc_zrzr.

fig10_left_top_isobarpaper_star_blue_solid_v2_tpc_ruru.

fig10_left_top_isobarpaper_star_red_open_v2_epd_zrzr.

fig10_left_top_isobarpaper_star_red_solid_v2_epd_ruru.

fig10_right_low_isobarpaper_star_blue_v3_subEv_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig10_right_low_isobarpaper_star_green_v3_tpc_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig10_right_low_isobarpaper_star_purple_v3_tpc_eta_gt1_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig10_right_low_isobarpaper_star_yellow_v3_epd_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig10_right_top_isobarpaper_star_blue_open_v3_subEv_zrzr.

fig10_right_top_isobarpaper_star_blue_solid_v3_subEv_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig10_right_top_isobarpaper_star_green_open_v3_tpc_zrzr. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig10_right_top_isobarpaper_star_green_solid_v3_tpc_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig10_right_top_isobarpaper_star_purple_open_v3_tpc_eta_gt1_zrzr.

fig10_right_top_isobarpaper_star_purple_solid_v3_tpc_eta_gt1_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig10_right_top_isobarpaper_star_yellow_open_v3_epd_zrzr.

fig10_right_top_isobarpaper_star_yellow_solid_v3_epd_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig11_low_isobarpaper_star_black_g2_tpc_ratio.

fig11_low_isobarpaper_star_blue_g3_tpc_ratio.

fig11_low_isobarpaper_star_red_Ddelta_ratio.

fig11_mid_isobarpaper_star_blue_open_g3_tpc_zrzr. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig11_mid_isobarpaper_star_blue_solid_g3_tpc_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig11_top_isobarpaper_star_black_open_g2_tpc_zrzr. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig11_top_isobarpaper_star_black_solid_g2_tpc_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig12_low_isobarpaper_star_black_g2_subEv_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig12_low_isobarpaper_star_blue_g3_subEv_ratio.

fig12_low_isobarpaper_star_red_Ddelta_ratio.

fig12_mid_isobarpaper_star_blue_open_g3_subEv_zrzr. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig12_mid_isobarpaper_star_blue_solid_g3_subEv_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig12_top_isobarpaper_star_black_open_g2_subEv_zrzr.

fig12_top_isobarpaper_star_black_solid_g2_subEv_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig13_low_isobarpaper_star_black_g2_epd_ratio.

fig13_low_isobarpaper_star_blue_g3_epd_ratio.

fig13_low_isobarpaper_star_red_Ddelta_ratio.

fig13_mid_isobarpaper_star_blue_open_g3_epd_zrzr. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig13_mid_isobarpaper_star_blue_solid_g3_epd_ruru.

fig13_top_isobarpaper_star_black_open_g2_epd_zrzr. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig13_top_isobarpaper_star_black_solid_g2_epd_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig14_low_isobarpaper_star_black_solid_k2_ratio.

fig14_low_isobarpaper_star_blue_solid_k3_ratio.

fig14_mid_isobarpaper_star_blue_open_k3_zrzr. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig14_mid_isobarpaper_star_blue_solid_k3_ruru.

fig14_top_isobarpaper_star_black_open_k2_zrzr.

fig14_top_isobarpaper_star_black_solid_k2_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_left_lowerleftpanel_isobarpaper_star_blue_circle_tpc_ss_zrzr_40-50. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_left_lowerleftpanel_isobarpaper_star_blue_square_tpc_os_zrzr_40-50.

fig15_left_lowerleftpanel_isobarpaper_star_red_circle_tpc_ss_ruru_40-50. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_left_lowerleftpanel_isobarpaper_star_red_square_tpc_os_ruru_40-50.

fig15_left_lowerrightpanel_isobarpaper_star_blue_circle_epd_ss_zrzr_40-50. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_left_lowerrightpanel_isobarpaper_star_blue_square_epd_os_zrzr_40-50. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_left_lowerrightpanel_isobarpaper_star_red_circle_epd_ss_ruru_40-50. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_left_lowerrightpanel_isobarpaper_star_red_square_epd_os_ruru_40-50. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_left_midleftpanel_isobarpaper_star_blue_circle_tpc_ss_zrzr_30-40.

fig15_left_midleftpanel_isobarpaper_star_blue_square_tpc_os_zrzr_30-40.

fig15_left_midleftpanel_isobarpaper_star_red_circle_tpc_ss_ruru_30-40. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_left_midleftpanel_isobarpaper_star_red_square_tpc_os_ruru_30-40. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_left_midrightpanel_isobarpaper_star_blue_circle_epd_ss_zrzr_30-40. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_left_midrightpanel_isobarpaper_star_blue_square_epd_os_zrzr_30-40. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_left_midrightpanel_isobarpaper_star_red_circle_epd_ss_ruru_30-40. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_left_midrightpanel_isobarpaper_star_red_square_epd_os_ruru_30-40. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_left_topleftpanel_isobarpaper_star_blue_circle_tpc_ss_zrzr_20-30.

fig15_left_topleftpanel_isobarpaper_star_blue_square_tpc_os_zrzr_20-30.

fig15_left_topleftpanel_isobarpaper_star_red_circle_tpc_ss_ruru_20-30.

fig15_left_topleftpanel_isobarpaper_star_red_square_tpc_os_ruru_20-30.

fig15_left_toprightpanel_isobarpaper_star_blue_circle_epd_ss_zrzr_20-30. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_left_toprightpanel_isobarpaper_star_blue_square_epd_os_zrzr_20-30. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_left_toprightpanel_isobarpaper_star_red_circle_epd_ss_ruru_20-30.

fig15_left_toprightpanel_isobarpaper_star_red_square_epd_os_ruru_20-30.

fig15_right_lowerleftpanel_isobarpaper_star_blue_circle_tpc_Deltagamma_zrzr_40-50. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_right_lowerleftpanel_isobarpaper_star_red_circle_tpc_Deltagamma_ruru_40-50. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_right_lowerrightpanel_isobarpaper_star_blue_circle_epd_Deltagamma_zrzr_40-50. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_right_lowerrightpanel_isobarpaper_star_red_circle_epd_Deltagamma_ruru_40-50.

fig15_right_midleftpanel_isobarpaper_star_blue_circle_tpc_Deltagamma_zrzr_30-40. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_right_midleftpanel_isobarpaper_star_red_circle_tpc_Deltagamma_ruru_30-40.

fig15_right_midrightpanel_isobarpaper_star_blue_circle_epd_Deltagamma_zrzr_30-40. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_right_midrightpanel_isobarpaper_star_red_circle_epd_Deltagamma_ruru_30-40.

fig15_right_topleftpanel_isobarpaper_star_blue_circle_tpc_Deltagamma_zrzr_20-30.

fig15_right_topleftpanel_isobarpaper_star_red_circle_tpc_Deltagamma_ruru_20-30.

fig15_right_toprightpanel_isobarpaper_star_blue_circle_epd_Deltagamma_zrzr_20-30. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig15_right_toprightpanel_isobarpaper_star_red_circle_epd_Deltagamma_ruru_20-30. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig16_a_blue_zrzr.

fig16_a_red_ruru.

fig16_b.

fig17_a_blue_zrzr. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig17_a_red_ruru.

fig17_b. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig18_a_blue_ruru_ZDCdg.

fig18_a_red_ruru_TPCdg.

fig18_b_blue_ruru_ZDCv2.

fig18_b_red_ruru_TPCv2.

fig18_c_blue_ruru_A. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig18_c_red_ruru_a.

fig18_d_red_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig18_e_blue_zrzr_ZDCdg.

fig18_e_red_zrzr_TPCdg.

fig18_f_blue_zrzr_ZDCv2.

fig18_f_red_zrzr_TPCv2.

fig18_g_blue_zrzr_A. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig18_g_red_zrzr_a. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig18_h_red_zrzr. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig19_a_blue_zrzr. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig19_a_red_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig19_b_blue_zrzr.

fig19_b_red_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig21_doubleratio.

fig22_doubleratio_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig22_doubleratio_zrzr.

fig22_fcme_ruru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig22_fcme_zrzr.

fig23_ratio_v22.

fig23_ratio_v24. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig23_ratio_v2z. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig23_v22_ru.

fig23_v22_zr.

fig23_v24_ru. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values". "Imaginary number of v_2{4} is presented as negative value”

fig23_v24_zr. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values". "Imaginary number of v_2{4} is presented as negative value”

fig23_v2z_ru.

fig23_v2z_zr.

fig24_a_isobarpaper_star_ruru_q2_0-20.

fig24_a_isobarpaper_star_ruru_q2_20-40.

fig24_a_isobarpaper_star_ruru_q2_40-60.

fig24_a_isobarpaper_star_ruru_q2_60-100.

fig24_b_isobarpaper_ruru.

fig24_c_isobarpaper_ruru.

fig24_d_isobarpaper_star_zrzr_q2_0-20.

fig24_d_isobarpaper_star_zrzr_q2_20-40.

fig24_d_isobarpaper_star_zrzr_q2_40-60.

fig24_d_isobarpaper_star_zrzr_q2_60-100.

fig24_e_isobarpaper_zrzr.

fig24_f_isobarpaper_zrzr.

fig25_a_isobarpaper_star_blue_open_zrzr_0-10.

fig25_a_isobarpaper_star_blue_solid_ruru_0-10.

fig25_b_isobarpaper_star_red_open_zrzr_10-30.

fig25_b_isobarpaper_star_red_solid_ruru_10-30.

fig25_c_isobarpaper_star_green_open_zrzr_30-50.

fig25_c_isobarpaper_star_green_solid_ruru_30-50.

fig25_d_isobarpaper_star_orange_open_zrzr_20-50.

fig25_d_isobarpaper_star_orange_solid_ruru_20-50.

fig25_e_isobarpaper_star_open_zrzr.

fig25_e_isobarpaper_star_solid_ruru.

fig25_f_isobarpaper_star_solid_ratio. "For points without systematic uncertainties, using the method for estimating systematic uncertainties as described in the paper yields 0 values"

fig26_isobarpaper_star_black_deltagamma_by_v2_1. "({/Symbol Dg}_{112}/v_{2})_{EP,TPC}" Group-1

fig26_isobarpaper_star_black_deltagamma_by_v2_2. "({/Symbol Dg}_{112}/v_{2})_{3PC,TPC}" Group-2

fig26_isobarpaper_star_black_deltagamma_by_v2_3. "({/Symbol Dg}_{112}/v_{2})_{3PC,TPC}" Group-3

fig26_isobarpaper_star_black_deltagamma_by_v2_4. "({/Symbol Dg}_{112}/v_{2})_{SE,TPC}" Group-2

fig26_isobarpaper_star_black_deltagamma_by_v2_5. "({/Symbol Dg}_{112}/v_{2})_{SE,TPC}" Group-3

fig26_isobarpaper_star_black_deltagamma_by_v2_6. "({/Symbol Dg}_{112}/v_{2})_{SE,TPC}" Group-4

fig26_isobarpaper_star_black_deltagamma_by_v2_7. "({/Symbol Dg}_{112}/v_{2})_{SP,EPD}" Group-2

fig26_isobarpaper_star_blue_R. "{/Symbol s}@^{-1}_{R_{/Symbol Y}_2}" Group-5

fig26_isobarpaper_star_darkgreen_k_9. "{/Symbol k}_{112}" Group-1

fig26_isobarpaper_star_darkgreen_k_10. "k_{2}" Group-2

fig26_isobarpaper_star_grey_deltagamma_by_v3. "({/Symbol Dg}_{123}/v_{3})_{3PC,TPC}" Group-2

fig26_isobarpaper_star_lightgreen_k. "k_{3}" Group-2

fig27_isobarpaper_star_black_deltagamma_by_v2_1. "({/Symbol Dg}_{112}/v_{2})_{EP,TPC}" Group-1

fig27_isobarpaper_star_black_deltagamma_by_v2_2. "({/Symbol Dg}_{112}/v_{2})_{3PC,TPC}" Group-2

fig27_isobarpaper_star_black_deltagamma_by_v2_3. "({/Symbol Dg}_{112}/v_{2})_{3PC,TPC}" Group-3

fig27_isobarpaper_star_black_deltagamma_by_v2_4. "({/Symbol Dg}_{112}/v_{2})_{SE,TPC}" Group-2

fig27_isobarpaper_star_black_deltagamma_by_v2_5. "({/Symbol Dg}_{112}/v_{2})_{SE,TPC}" Group-3

fig27_isobarpaper_star_black_deltagamma_by_v2_6. "({/Symbol Dg}_{112}/v_{2})_{SE,TPC}" Group-4

fig27_isobarpaper_star_black_deltagamma_by_v2_7. "({/Symbol Dg}_{112}/v_{2})_{SP,EPD}" Group-2

fig27_isobarpaper_star_blue_R.txt. "{/Symbol s}@^{-1}_{R_{/Symbol Y}_2}" Group-5

fig27_isobarpaper_star_darkgreen_k_9. "{/Symbol k}_{112}" Group-1

fig27_isobarpaper_star_darkgreen_k_10. "k_{2}" Group-2

fig27_isobarpaper_star_grey_deltagamma_by_v3. "({/Symbol Dg}_{123}/v_{3})_{3PC,TPC}" Group-2

fig27_isobarpaper_star_lightgreen_k. "k_{3}" Group-2

fig27_isobarpaper_star_purple_r_n_13. "r(m_{inv})" Group-3

fig27_isobarpaper_star_purple_r_n_14. "1/N@_{trk}^{offline}"

The centrality dependencies of the $\Delta\gamma\{\psi_\mathrm{ZDC}\}$ for Au+Au collision at $\sqrt{s_{\rm NN}}$=200 GeV.

The centrality dependencies of the A for Au+Au collision at $\sqrt{s_{\rm NN}}$=200 GeV.

The centrality dependencies of the a for Au+Au collision at $\sqrt{s_{\rm NN}}$=200 GeV.

The centrality dependencies of the A/a using full-event method for Au+Au collision at $\sqrt{s_{\rm NN}}$=200 GeV.

The centrality dependencies of the A/a using sub-event method for Au+Au collision at $\sqrt{s_{\rm NN}}$=200 GeV.

The centrality dependencies of the $f_\mathrm{CME}$ using full-event method for Au+Au collision at $\sqrt{s_{\rm NN}}$=200 GeV.

The centrality dependencies of the $f_\mathrm{CME}$ using sub-event method for Au+Au collision at $\sqrt{s_{\rm NN}}$=200 GeV.

The centrality dependencies of the $\Delta\gamma_\mathrm{CME}$ using full-event method for Au+Au collision at $\sqrt{s_{\rm NN}}$=200 GeV.

The centrality dependencies of the $\Delta\gamma_\mathrm{CME}$ using sub-event method for Au+Au collision at $\sqrt{s_{\rm NN}}$=200 GeV.

The $f_\mathrm{CME}$ from different methods for 20-50% centrality Au+Au collision at $\sqrt{s_{\rm NN}}$=200 GeV.

The $f_\mathrm{CME}$ from different methods for 50-80% centrality Au+Au collision at $\sqrt{s_{\rm NN}}$=200 GeV.

The $\Delta\gamma_\mathrm{CME}$ from different methods for 20-50% centrality Au+Au collision at $\sqrt{s_{\rm NN}}$=200 GeV.

The $\Delta\gamma_\mathrm{CME}$ from different methods for 50-80% centrality Au+Au collision at $\sqrt{s_{\rm NN}}$=200 GeV.

Event by event net-proton multiplicity, $\Delta N_{p}$, distributions for Au+Au collisions at √sNN = 27, 54.4, and 200 GeV in 0-10% and 30-40% centralities at midrapidity (|y| < 0.5) for the transverse momentum range of 0.4 < $p_{T}$ (GeV/c) < 2.0. These distributions are normalized by the corresponding numbers of events and are not corrected for detector efficiencies. Statistical uncertainties are shown as vertical lines. The dashed lines show the Skellam distributions for each collision energy and centrality. The bottom panel shows the ratio of the data to the Skellam expectations.

Event by event net-proton multiplicity, $\Delta N_{p}$, distributions for Au+Au collisions at √sNN = 27, 54.4, and 200 GeV in 0-10% and 30-40% centralities at midrapidity (|y| < 0.5) for the transverse momentum range of 0.4 < $p_{T}$ (GeV/c) < 2.0. These distributions are normalized by the corresponding numbers of events and are not corrected for detector efficiencies. Statistical uncertainties are shown as vertical lines. The dashed lines show the Skellam distributions for each collision energy and centrality. The bottom panel shows the ratio of the data to the Skellam expectations.

Event by event net-proton multiplicity, $\Delta N_{p}$, distributions for Au+Au collisions at √sNN = 27, 54.4, and 200 GeV in 0-10% and 30-40% centralities at midrapidity (|y| < 0.5) for the transverse momentum range of 0.4 < $p_{T}$ (GeV/c) < 2.0. These distributions are normalized by the corresponding numbers of events and are not corrected for detector efficiencies. Statistical uncertainties are shown as vertical lines. The dashed lines show the Skellam distributions for each collision energy and centrality. The bottom panel shows the ratio of the data to the Skellam expectations.

Net-proton $C_{6}/C_{2}$ as a function of rapidity (left) and transverse momentum acceptance (right) from $\sqrt{s_{NN}}$ = 27 GeV (crosses), 54.4 (open squares), and 200 GeV (filled circles) Au+Au collisions. The upper and lower plots are for 0-10% and 30-40% centralities, respectively. The error bars are statistical and caps are systematic errors. Points for different beam energies are staggered horizontally to improve clarity. UrQMD transport model results are shown as shaded and hatched bands. The Skellam expectation ($C_{6}/C_{2} = 1) is shown as long-dashed lines.

Net-proton $C_{6}/C_{2}$ as a function of rapidity (left) and transverse momentum acceptance (right) from $\sqrt{s_{NN}}$ = 27 GeV (crosses), 54.4 (open squares), and 200 GeV (filled circles) Au+Au collisions. The upper and lower plots are for 0-10% and 30-40% centralities, respectively. The error bars are statistical and caps are systematic errors. Points for different beam energies are staggered horizontally to improve clarity. UrQMD transport model results are shown as shaded and hatched bands. The Skellam expectation ($C_{6}/C_{2} = 1) is shown as long-dashed lines.

Net-proton $C_{6}/C_{2}$ as a function of rapidity (left) and transverse momentum acceptance (right) from $\sqrt{s_{NN}}$ = 27 GeV (crosses), 54.4 (open squares), and 200 GeV (filled circles) Au+Au collisions. The upper and lower plots are for 0-10% and 30-40% centralities, respectively. The error bars are statistical and caps are systematic errors. Points for different beam energies are staggered horizontally to improve clarity. UrQMD transport model results are shown as shaded and hatched bands. The Skellam expectation ($C_{6}/C_{2} = 1) is shown as long-dashed lines.

Net-proton $C_{6}/C_{2}$ as a function of rapidity (left) and transverse momentum acceptance (right) from $\sqrt{s_{NN}}$ = 27 GeV (crosses), 54.4 (open squares), and 200 GeV (filled circles) Au+Au collisions. The upper and lower plots are for 0-10% and 30-40% centralities, respectively. The error bars are statistical and caps are systematic errors. Points for different beam energies are staggered horizontally to improve clarity. UrQMD transport model results are shown as shaded and hatched bands. The Skellam expectation ($C_{6}/C_{2} = 1) is shown as long-dashed lines.

Net-proton $C_{6}/C_{2}$ as a function of rapidity (left) and transverse momentum acceptance (right) from $\sqrt{s_{NN}}$ = 27 GeV (crosses), 54.4 (open squares), and 200 GeV (filled circles) Au+Au collisions. The upper and lower plots are for 0-10% and 30-40% centralities, respectively. The error bars are statistical and caps are systematic errors. Points for different beam energies are staggered horizontally to improve clarity. UrQMD transport model results are shown as shaded and hatched bands. The Skellam expectation ($C_{6}/C_{2} = 1) is shown as long-dashed lines.

Net-proton $C_{6}/C_{2}$ as a function of rapidity (left) and transverse momentum acceptance (right) from $\sqrt{s_{NN}}$ = 27 GeV (crosses), 54.4 (open squares), and 200 GeV (filled circles) Au+Au collisions. The upper and lower plots are for 0-10% and 30-40% centralities, respectively. The error bars are statistical and caps are systematic errors. Points for different beam energies are staggered horizontally to improve clarity. UrQMD transport model results are shown as shaded and hatched bands. The Skellam expectation ($C_{6}/C_{2} = 1) is shown as long-dashed lines.

Collisions centrality dependence of net-proton $C_{6}/C_{2}$ in Au+Au collisions for |$y$| < 0.5 and 0.4 < $p_{T}$ (GeV/c) < 2.0. The error bars are statistical and caps are systematic errors. Points for different beam energies are staggered horizontally to improve clarity. A shaded band shows the results from UrQMD model calculations. UrQMD calculations from the above three collision energies are consistent among them so they are merged in order to reduce statistical fluctuations. Details on these calculations can be found in the Supplemental Material at [URL will be inserted by publisher]. The lattice QCD calculations [16, 17] for T = 160 MeV and $\mu_{B}$ < 110 MeV. are shown as a blue band at $\langle N_{part}\rangle$ $\approx$ 340.

Collisions centrality dependence of net-proton $C_{6}/C_{2}$ in Au+Au collisions for |$y$| < 0.5 and 0.4 < $p_{T}$ (GeV/c) < 2.0. The error bars are statistical and caps are systematic errors. Points for different beam energies are staggered horizontally to improve clarity. A shaded band shows the results from UrQMD model calculations. UrQMD calculations from the above three collision energies are consistent among them so they are merged in order to reduce statistical fluctuations. Details on these calculations can be found in the Supplemental Material at [URL will be inserted by publisher]. The lattice QCD calculations [16, 17] for T = 160 MeV and $\mu_{B}$ < 110 MeV. are shown as a blue band at $\langle N_{part}\rangle$ $\approx$ 340.

Collisions centrality dependence of net-proton $C_{6}/C_{2}$ in Au+Au collisions for |$y$| < 0.5 and 0.4 < $p_{T}$ (GeV/c) < 2.0. The error bars are statistical and caps are systematic errors. Points for different beam energies are staggered horizontally to improve clarity. A shaded band shows the results from UrQMD model calculations. UrQMD calculations from the above three collision energies are consistent among them so they are merged in order to reduce statistical fluctuations. Details on these calculations can be found in the Supplemental Material at [URL will be inserted by publisher]. The lattice QCD calculations [16, 17] for T = 160 MeV and $\mu_{B}$ < 110 MeV. are shown as a blue band at $\langle N_{part}\rangle$ $\approx$ 340.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Distributions of reconstructed protons (black circles) from embedding simulations in 200 GeV Au+Au collisions at 0-2.5% centrality. Red lines are fits with the binomial distribution, and green dotted lines represent the fit with the beta-binomial distributions using α that gives the minimal chi2/ndf. Each panel shows the result from the given combinations of embedded protons and antiprotons. The ratio of fits to the embedding data is shown for each panel.

Cumulants and their ratios up to the sixth order corrected for non-binomial efficiencies for 200 GeV Au+Au collisions at 0-5% centrality. The CBWC is applied for 2.5% centrality bin width. Results from the conventional efficiency correction are shown as black filled circles, results from the unfolding with the binomial detector response are shown as black open circles, and results from beta-binomial detector response with $\alpha+\sigma$, $\alpha$ and $\alpha-\sigma$ are shown in green triangles, red squares and blue triangles, respectively. C5, C6, C2/C1, C5/C1 and C6/C2 are scaled by constant shown in each column.

Collision centrality dependence of net-proton C6/C2 in Au+Au collisions for $\sqrt{s_{NN}}$ = 200 GeV within |y| < 0.5 and 0.4 < pT (GeV/c) < 2.0. Results with and without the CBWC are overlaid. The results are corrected for detector efficiencies. Points for different calculation methods are staggered horizontally to improve clarity.

Collision centrality dependence of net-proton C6/C2 in Au+Au collisions for $\sqrt{s_{NN}}$ = 27, 54.4, and 200 GeV within |y| < 0.5 and 0.4 < pT (GeV/c) < 2.0. Points for different beam energies are staggered horizontally to improve clarity. Shaded and hatched bands show the results from UrQMD model calculations The lattice QCD calculations [13, 14] for T = 160 MeV and $\mu_{B}$ < 110 MeV. are shown as a blue band at $\langle N_{part}\rangle$ $\approx$ 340.

Reference charged particle multiplicity distributions using only pions and kaons ...

Reference charged particle multiplicity distributions using only pions and kaons ...

Reference charged particle multiplicity distributions using only pions and kaons ...

Reference charged particle multiplicity distributions using only pions and kaons ...

Reference charged particle multiplicity distributions using only pions and kaons ...

Reference charged particle multiplicity distributions using only pions and kaons ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$\Delta N_\mathrm{p}$ multiplicity distributions in Au+Au collisions at various $\sqrt{s_\text{NN}}$ for 0-5%, ...

$C_{n}$ of net-proton distribution in Au+Au collisions at $\sqrt{s_{NN}}$ = 7.7 GeV as a function of $N_{part}$.

$C_{n}$ of net-proton distribution in Au+Au collisions at $\sqrt{s_{NN}}$ = 7.7 GeV as a function of $N_{part}$.

$C_{n}$ of net-proton distribution in Au+Au collisions at $\sqrt{s_{NN}}$ = 7.7 GeV as a function of $N_{part}$.

$C_{n}$ of net-proton distribution in Au+Au collisions at $\sqrt{s_{NN}}$ = 7.7 GeV as a function of $N_{part}$.

$C_{n}$ of net-proton distribution in Au+Au collisions at $\sqrt{s_{NN}}$ = 19.6 GeV as a function of $N_{part}$.

$C_{n}$ of net-proton distribution in Au+Au collisions at $\sqrt{s_{NN}}$ = 19.6 GeV as a function of $N_{part}$.

$C_{n}$ of net-proton distribution in Au+Au collisions at $\sqrt{s_{NN}}$ = 19.6 GeV as a function of $N_{part}$.

$C_{n}$ of net-proton distribution in Au+Au collisions at $\sqrt{s_{NN}}$ = 19.6 GeV as a function of $N_{part}$.

$C_{n}$ of net-proton distribution in Au+Au collisions at $\sqrt{s_{NN}}$ = 62.4 GeV as a function of $N_{part}$.

$C_{n}$ of net-proton distribution in Au+Au collisions at $\sqrt{s_{NN}}$ = 62.4 GeV as a function of $N_{part}$.

$C_{n}$ of net-proton distribution in Au+Au collisions at $\sqrt{s_{NN}}$ = 62.4 GeV as a function of $N_{part}$.

$C_{n}$ of net-proton distribution in Au+Au collisions at $\sqrt{s_{NN}}$ = 62.4 GeV as a function of $N_{part}$.

$\kappa\sigma^2$ as a function of collision energy for Au+Au collisions for 0-5% centrality.

Efficiency uncorrected $C_n$ of net-proton proton and anti-proton multiplicity distribution in Au+Au collisions at $\sqrt{s_\text{NN}}$ = 7.7 - 200 GeV as function of $\left\langle N_\text{part} \right\rangle$.

Efficiencies of proton and anti-proton as a function of $p_\mathrm{T}$ in Au+Au collisions for various $\sqrt{s_\text{NN}}$ and collision centralities.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Distribution of reconstructed protons from embedding simulations in 200 GeV top 2.5%-central Au+Au collisions.

Unfolded net-proton multiplicity distributions for $\sqrt{s_{NN}$ = 200 GeV Au+Au collisions.

Unfolded net-proton multiplicity distributions for $\sqrt{s_{NN}$ = 200 GeV Au+Au collisions.

Unfolded net-proton multiplicity distributions for $\sqrt{s_{NN}$ = 200 GeV Au+Au collisions.

Unfolded net-proton multiplicity distributions for $\sqrt{s_{NN}$ = 200 GeV Au+Au collisions.

Unfolded net-proton multiplicity distributions for $\sqrt{s_{NN}$ = 200 GeV Au+Au collisions.

Unfolded net-proton multiplicity distributions for $\sqrt{s_{NN}$ = 200 GeV Au+Au collisions.

Unfolded net-proton multiplicity distributions for $\sqrt{s_{NN}$ = 200 GeV Au+Au collisions.

Cumulant ratios as a function of $N_{part}$ for net-proton distributions in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV

Cumulant ratios as a function of $N_{part}$ for net-proton distributions in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV

Collision centrality dependence of proton, anti-proton and net-proton cumulants

Cumulants and their ratios as a function of $<N_{part}>$, for the net-proton distribution

Centrality dependence of normalized correlation functions $\kappa_n/$kappa_1$ for proton and anti-proton multiplicity distribution

Rapidity acceptance dependence of cumulants of proton, anti-proton and net-proton multiplicity distributions in 0-5% central Au+Au collision ...

Rapidity acceptance dependence of normalized correlation functions up to fourth order.

Rapidity-acceptance dependence of cumulant ratios of proton, anti-proton and net-proton multiplicity distributions in 0-5% central Au+Au collisions...

pT-acceptance dependence of cumulants of proton, anti-proton and net-proton multiplicity distributions for 0-5% central Au+Au collisions ...

pT-acceptance dependence of the normalized correlation functions up to fourth order ($\kappa_n/\kappa_1$, $n$ = 2, 3, 4) for proton and anti-proton multiplicity distributions in 0-5% central Au+Au collisions ...

pT-acceptance dependence of cumulant ratios of proton, anti-proton and net-proton multiplicity distributions for 0-5% central Au+Au collisions ...

Cumulant ratios from HRG model as a function of collision energy $\sqrt{s_{NN}}$

UrQMD results on pT acceptance dependence for cumulant ratios for proton and baryon

Polynomial fit of cumulant ratios as a function of collision energy $\sqrt{s_{NN}}$

Polynomial fit of cumulant ratios as a function of collision energy $\sqrt{s_{NN}}$

Polynomial fit of cumulant ratios as a function of collision energy $\sqrt{s_{NN}}$

Collision energy dependence of $C_2/C_1$, $C_3/C_2$ and $C_4/C_2$ for net-proton multiplicity distribution in 0-5% central Au+Au collisions. The expreimental net-proton measurements are compared to corresponding values from UrQMD and HRG models within the expreimental acceptances.

Collision energy dependence of $C_2/C_1$, $C_3/C_2$ and $C_4/C_2$ for net-proton multiplicity distribution in 0-5% central Au+Au collisions. The expreimental net-proton measurements are compared to corresponding values from UrQMD and HRG models within the expreimental acceptances.

Collision energy dependence of $C_2/C_1$, $C_3/C_2$ and $C_4/C_2$ for net-proton multiplicity distribution in 0-5% central Au+Au collisions. The expreimental net-proton measurements are compared to corresponding values from UrQMD and HRG models within the expreimental acceptances.

Collision energy dependence of $C_2/C_1$, $C_3/C_2$ and $C_4/C_2$ for net-proton multiplicity distribution in 0-5% central Au+Au collisions. The expreimental net-proton measurements are compared to corresponding values from UrQMD and HRG models within the expreimental acceptances.

Collision energy dependence of $C_2/C_1$, $C_3/C_2$ and $C_4/C_2$ for net-proton multiplicity distribution in 0-5% central Au+Au collisions. The expreimental net-proton measurements are compared to corresponding values from UrQMD and HRG models within the expreimental acceptances.

Collision energy dependence of $C_2/C_1$, $C_3/C_2$ and $C_4/C_2$ for net-proton multiplicity distribution in 0-5% central Au+Au collisions. The expreimental net-proton measurements are compared to corresponding values from UrQMD and HRG models within the expreimental acceptances.

Collision energy dependence of $C_2/C_1$, $C_3/C_2$ and $C_4/C_2$ for net-proton multiplicity distribution in 0-5% central Au+Au collisions. The expreimental net-proton measurements are compared to corresponding values from UrQMD and HRG models within the expreimental acceptances.

Centrality dependence of moments of $\Delta N_p$ distributions for Au+Au collisions at $\sqrt{s_{NN}}$ = 19.6 GeV.

Centrality dependence of moments of $\Delta N_p$ distributions for Au+Au collisions at $\sqrt{s_{NN}}$ = 19.6 GeV.

Centrality dependence of moments of $\Delta N_p$ distributions for Au+Au collisions at $\sqrt{s_{NN}}$ = 19.6 GeV.

Centrality dependence of moments of $\Delta N_p$ distributions for Au+Au collisions at $\sqrt{s_{NN}}$ = 19.6 GeV.

Centrality dependence of moments of $\Delta N_p$ distributions for Au+Au collisions at $\sqrt{s_{NN}}$ = 62.4 GeV.

Centrality dependence of moments of $\Delta N_p$ distributions for Au+Au collisions at $\sqrt{s_{NN}}$ = 62.4 GeV.

Centrality dependence of moments of $\Delta N_p$ distributions for Au+Au collisions at $\sqrt{s_{NN}}$ = 62.4 GeV.

Centrality dependence of moments of $\Delta N_p$ distributions for Au+Au collisions at $\sqrt{s_{NN}}$ = 62.4 GeV.

Centrality dependence of moments of $\Delta N_p$ distributions for Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV.

Centrality dependence of moments of $\Delta N_p$ distributions for Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV.

Centrality dependence of moments of $\Delta N_p$ distributions for Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV.

Centrality dependence of moments of $\Delta N_p$ distributions for Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV.

Centrality dependence of $S\sigma$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 19.6 GeV.

Centrality dependence of $\kappa\sigma^2$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 19.6 GeV.

Centrality dependence of $S\sigma$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 62.4 GeV.

Centrality dependence of $\kappa\sigma^2$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 62.4 GeV.

Centrality dependence of $S\sigma$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV.

Centrality dependence of $\kappa\sigma^2$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV.

Centrality dependence of $S\sigma$ for $\Delta N_p$ in Au+Au collisions from Lattice QCD Calculations.

Centrality dependence of $S\sigma$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 19.6 GeV from Transport Model Calculations.

Centrality dependence of $S\sigma$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 62.4 GeV from Transport Model Calculations.

Centrality dependence of $S\sigma$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV from Transport Model Calculations.

Centrality dependence of $\kappa\sigma^2$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV from Transport Model Calculations.

Centrality dependence of $\kappa\sigma^2$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV from Transport Model Calculations for net-baryon.

Centrality dependence of $\kappa\sigma^2$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV from Transport Model Calculations for net-proton (No Decay).

Centrality dependence of $\kappa\sigma^2$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV from Transport Model Calculations.

Centrality dependence of $\kappa\sigma^2$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV from Transport Model Calculations.

Centrality dependence of $\kappa\sigma^2$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV from Transport Model Calculations.

Centrality dependence of $\kappa\sigma^2$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV from Transport Model Calculations.

Centrality dependence of $\kappa\sigma^2$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV from Transport Model Calculations.

Centrality dependence of $\kappa\sigma^2$ for $\Delta N_p$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV from Transport Model Calculations.

$\sqrt{s_{NN}}$ dependence of $\kappa\sigma^2$ for net proton distributions measured at RHIC. The results are STAR data.

$\sqrt{s_{NN}}$ dependence of $\kappa\sigma^2$ for net proton distributions measured at RHIC. The results are from UrQMD net-proton.

$\sqrt{s_{NN}}$ dependence of $\kappa\sigma^2$ for net proton distributions measured at RHIC. The results are from AMPT default net-proton.

$\sqrt{s_{NN}}$ dependence of $\kappa\sigma^2$ for net proton distributions measured at RHIC. The results are from AMPT String Melting net-proton.

$\sqrt{s_{NN}}$ dependence of $\kappa\sigma^2$ for net proton distributions measured at RHIC. The results are from Therminator net-proton.

$\sqrt{s_{NN}}$ dependence of $\kappa\sigma^2$ for net proton distributions measured at RHIC. The results are from Hijing net-proton.

Drell-Yan events. Charged particle PTsum density in the transMAX, transMIN and transDIF regions.

Drell-Yan events. Charged particle average PT in the toward and transverse regions.

Drell-Yan events. Charged particle average PTMAX in the toward and transverse regions.

Drell-Yan events. Average lepton-pair PT v. charged particle multiplicity .

Drell-Yan events. Average charged particle PT v. charged particle multiplicity .

Drell-Yan events. Average charged particle PT v. charged particle multiplicity for lepton-pair PT < 10 GeV.

Leading Jet events. Charged particle density in the toward, transverse and away regions.

Leading Jet events. Charged particle density in the transMAX, transMIN and transDIF regions.

Leading Jet events. Charged particle PTsum density in the toward, transverse and away regions.

Leading Jet events. Charged particle PTsum density in the transMAX, transMIN and transDIF regions.

Leading Jet events. Charged particle average PT .

Leading Jet events. Charged particle average PTMAX .