The $\Delta p_{\mathrm{T}}$ of photon-tagged jets as a function of jet $p_{\mathrm{T}}$.

The double $R_{\mathrm{AA}}$ ratio of $R_{\mathrm{AA}}^{\gamma\text{-jet}}/R_{\mathrm{AA}}^{\text{inclusive jet}}$ as a function of jet $p_{\mathrm{T}}$.

The differential cross-section of photon-tagged jets as a function of jet $p_{\mathrm{T}}$ in pp collisions.

The yields of photon-tagged jets as a function of jet $p_{\mathrm{T}}$ in Pb+Pb collisions for different centrality intervals.

The nuclear modification factor of photon-tagged jets as a function of jet $p_{\mathrm{T}}$ for different centrality intervals.

The $\Delta p_{\mathrm{T}}$ of photon-tagged jets as a function of jet $p_{\mathrm{T}}$.

The $R_{\mathrm{CP}}$ of photon-tagged jets as a function of jet $p_{\mathrm{T}}$.

J/psi RCP results (with respect to 40−60% peripheral) for Au+Au collisions (39, 62.4 and 200 GeV) as a function of Npart.

J/psi RCP results for Au+Au collisions (39, 62.4 and 200 GeV) as a function of Npart.

J/psi RCP results for Au+Au collisions (39, 62.4 and 200 GeV) as a function of pT.

$R_{pPb}$ as a function of $p_{T}$ integrated over rapidity range $-1.8<y*<1.3$ for the 0--90% centrality interval for the three geometric models: (a) Glauber, (b) Glauber-Gribov with $\omega_{\sigma}=0.11$ and (c) Glauber-Gribov with $\omega_{\sigma}=0.2$.

$R_{pPb}$ values as a function of $p_{T}$ in the 0--90% centrality interval averaged over $|y*|<0.5$.The $\langle T_{Pb} \rangle$ value for the ATLAS centrality correction is calculated with the Glauber model. The total systematic uncertainties, which include the uncertainty in $\langle T_{Pb} \rangle$, are indicated by lines of the same colour. Strict quantitative agreement is not expected as each measurement uses different rapidity intervals for the centrality determination and apply different event selection criteria to reject diffractive collisions.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $-1.8<y*<1.3$ for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $-1.8<y*<1.3$ for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $-1.8<y*<1.3$ for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{CP}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $|\eta|<2.3$ for seven centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{CP}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $|\eta|<2.3$ for seven centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{CP}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $|\eta|<2.3$ for seven centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

Invariant charged particle differential yield in the centrality regions 30 TO 50%, 50 TO 70% and 70 TO 90%.

Nuclear modification factor RAA in the centrality regions 0 TO 5%, 5 TO 10% and 10 TO 30%.

Nuclear modification factor RAA in the centrality regions 30 TO 50%, 50 TO 70% and 70 TO 90%.

TAA-scaled ratio of PT spectra in central and peripheral bins, RCP.

The $\pi^0$ invariant mass peak positions and widths as a function of $p_{T}$ in 0-80% Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

The $\pi^0$ invariant mass peak positions and widths as a function of $p_{T}$ in 0-80% Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

The $\pi^0$ invariant mass peak positions and widths as a function of $p_{T}$ in 0-80% Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

The $\pi^0$ invariant mass peak positions and widths as a function of $p_{T}$ in 0-80% Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

The $\pi^0$ invariant mass peak positions and widths as a function of $p_{T}$ in 0-80% Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

The $\pi^0$ invariant mass peak positions and widths as a function of $p_{T}$ in 0-80% Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

Photon conversion point radius distribution from real data and MC simulation in Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

Conversion probability correction factor for $\pi^0$ as a function of $p_{T}$

The overall detection efficiency of $\pi^0$ from embedding studt in 0-80% Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

The overall detection efficiency of $\pi^0$ from embedding studt in 0-80% Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

The overall detection efficiency of $\pi^0$ from embedding studt in 0-80% Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

Invariant yield of STAR $\pi^0$ as a function of $p_{T}$ at midrapidity for different collision centrality bins in Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

Invariant yield of STAR $\pi^0$ as a function of $p_{T}$ at midrapidity for different collision centrality bins in Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

Invariant yield of STAR $\pi^0$ as a function of $p_{T}$ at midrapidity for different collision centrality bins in Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

The ratios of STAR $\pi^0$ spectra over $\pi^{\pm}$ from STAR and $\pi^0$ from PHENIX for different collision centrality bins in Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

The nuclear modification factor $R_{CP}$ as a functon of $p_{T}$ of STAR $\pi^0$ in Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

The nuclear modification factor $R_{AA}$ as a functon of $p_{T}$ of STAR $\pi^0$ in Au+Au collisions at $\sqrt{s_{NN}}=200$ GeV.

(color online) The $R_{CP}$ of mid-rapidity $\phi$-mesons produced in $\sqrt{s_{NN}}$ = 200 GeV Au+Au collisions: (top) 0-5% vs. 40-60% and (bottom) 0-5% vs. 60-80% The shaded bands represent the uncertainties in the Glauber model calculations for $\langle N_{bin}\rangle$ and $\langle N_{part}\rangle$ [32]. Also shown are results for $\Lambda$ and $K^{0}_{S}$ [11] and protons and $\pi^{+}$ [33].

(color online) The $R_{CP}$ of mid-rapidity $\phi$-mesons produced in $\sqrt{s_{NN}}$ = 200 GeV Au+Au collisions: (top) 0-5% vs. 40-60% and (bottom) 0-5% vs. 60-80% The shaded bands represent the uncertainties in the Glauber model calculations for $\langle N_{bin}\rangle$ and $\langle N_{part}\rangle$ [32]. Also shown are results for $\Lambda$ and $K^{0}_{S}$ [11] and protons and $\pi^{+}$ [33].

(a) The corrected integrated yield $dN/dy$ at mid-rapidity for $\overline{\Xi}^{+}$ , $\overline{\Lambda}$ and $\overline{p}$ divided by $N_{part}$, normalized to the most peripheral centrality interval (60 − 80%), plotted as a function of $N_{part}$. The gray, black and dashed bands represent the errors on the normalization to the most peripheral bin for the $\overline{\Xi}^{+}$, $\overline{\Lambda}$ and $\overline{p}$. Other errors shown are statistical only. (b) $\gamma_{s}$ as a function of $N_{part}$ calculated from thermal model fits to the measured particle yields ($\pi$,K,p [24], $\Lambda$, $\Xi$, $\Omega$ and their anti-particles) at 200 GeV. Values for $e^{+}+e^{−}$ and $p+\overline{p}$ collisions at $\sqrt{s_{NN}}$ = 91 and 200 GeV respectively and for Pb+Pb SPS collisions at $\sqrt{s_{NN}}$ = 17.2 GeV are shown for comparison [26, 27, 28].

(a) The corrected integrated yield $dN/dy$ at mid-rapidity for $\overline{\Xi}^{+}$ , $\overline{\Lambda}$ and $\overline{p}$ divided by $N_{part}$, normalized to the most peripheral centrality interval (60 − 80%), plotted as a function of $N_{part}$. The gray, black and dashed bands represent the errors on the normalization to the most peripheral bin for the $\overline{\Xi}^{+}$, $\overline{\Lambda}$ and $\overline{p}$. Other errors shown are statistical only. (b) $\gamma_{s}$ as a function of $N_{part}$ calculated from thermal model fits to the measured particle yields ($\pi$,K,p [24], $\Lambda$, $\Xi$, $\Omega$ and their anti-particles) at 200 GeV. Values for $e^{+}+e^{−}$ and $p+\overline{p}$ collisions at $\sqrt{s_{NN}}$ = 91 and 200 GeV respectively and for Pb+Pb SPS collisions at $\sqrt{s_{NN}}$ = 17.2 GeV are shown for comparison [26, 27, 28].

$R_{CP}$ for $\Xi^{-}+\overline{\Xi}^{+}$ and $\Omega^{-}+\overline{\Omega}^{+}$ at mid-rapidity (centrality interval : 0 − 5% vs. 40 − 60%). A dashed line for charged hadrons and gray band for $\Lambda^{-}+\overline{\Lambda}$ are shown as comparison. The gray rectangles represent participant and binary scalings.

$\frac{1}{2\pi p_{\mathrm{T}}}\frac{\mathrm{d}^2N}{\mathrm{d}p_{\mathrm{T}}\mathrm{d}y}$ versus $p_{\mathrm{T}}$ for $\mathrm{h}^{-}$,$\mathrm{h}^{-}$ in $\mathrm{p}\mathrm{p}$,$\mathrm{d}-\mathrm{Au}$ at $\sqrt{s}=200\,\mathrm{Ge\!V}$ near $\eta=3.2$

$R_{\mathrm{dA}}$ versus $p_{\mathrm{T}}$ for $\frac{h^{+}+h^{-}}{2}$ in $\mathrm{d}-\mathrm{Au}$ at $\sqrt{s_{\mathrm{NN}}}=200\,\mathrm{Ge\!V}$ near $\eta=0$

$R_{\mathrm{dA}}$ versus $p_{\mathrm{T}}$ for $\frac{h^{+}+h^{-}}{2}$ in $\mathrm{d}-\mathrm{Au}$ at $\sqrt{s_{\mathrm{NN}}}=200\,\mathrm{Ge\!V}$ near $\eta=1$

$R_{\mathrm{dA}}$ versus $p_{\mathrm{T}}$ for $\mathrm{h}^{-}$ in $\mathrm{d}-\mathrm{Au}$ at $\sqrt{s_{\mathrm{NN}}}=200\,\mathrm{Ge\!V}$ near $\eta=2.2$

$R_{\mathrm{dA}}$ versus $p_{\mathrm{T}}$ for $\mathrm{h}^{-}$ in $\mathrm{d}-\mathrm{Au}$ at $\sqrt{s_{\mathrm{NN}}}=200\,\mathrm{Ge\!V}$ near $\eta=3.2$

$R_{\mathrm{CP}}$ versus $p_{\mathrm{T}}$ for $\frac{h^{+}+h^{-}}{2}$,$\frac{h^{+}+h^{-}}{2}$,$\mathrm{h}^{-}$,$\mathrm{h}^{-}$ in $\mathrm{d}-\mathrm{Au}$ at $\sqrt{s_{\mathrm{NN}}}=200\,\mathrm{Ge\!V}$ near $\eta=True$ for $0-20-30-50$% central

$R_{\mathrm{AA}}$,$R_{\mathrm{CP}}$ versus $p_{\mathrm{T}}$ for $\frac{h^{+}+h^{-}}{2}$ in $\mathrm{Au}-\mathrm{Au}$ at $\sqrt{s_{\mathrm{NN}}}=200\,\mathrm{Ge\!V}$ near $\eta=0$

$R_{\mathrm{AA}}$,$R_{\mathrm{CP}}$ versus $p_{\mathrm{T}}$ for $\mathrm{h}^{-}$ in $\mathrm{Au}-\mathrm{Au}$ at $\sqrt{s_{\mathrm{NN}}}=200\,\mathrm{Ge\!V}$ near $\eta=2.2$

$R_{\mathrm{CP}}|_{\eta=2.2} / R_{\mathrm{CP}}|_{\eta=0}$ versus $p_{\mathrm{T}}$ in $\mathrm{Au}-\mathrm{Au}$ at $\sqrt{s_{\mathrm{NN}}}=200\,\mathrm{Ge\!V}$

$R_{\mathrm{AA}}$ versus $p_{\mathrm{T}}$ in $\mathrm{d}-\mathrm{Au}$ at $\sqrt{s_{\mathrm{NN}}}=200\,\mathrm{Ge\!V}$

$R_{\mathrm{AA}}$ versus $p_{\mathrm{T}}$ in $\mathrm{Au}-\mathrm{Au}$ at $\sqrt{s_{\mathrm{NN}}}=200\,\mathrm{Ge\!V}$

The v2 of KS0 as a function of pT for 30%–70%, 5%–30%, and 0%–5% of the collision cross section. The error bars represent statistical errors only. The nonflow systematic errors for the 30%–70%, 5%– 30%, and 0%–5% centralities are 25%, 20%, and 80%, respectively.

The v2 of Lambda+Lambdabar as a function of pT for 30%–70%, 5%–30%, and 0%–5% of the collision cross section. The error bars represent statistical errors only. The nonflow systematic errors for the 30%–70%, 5%– 30%, and 0%–5% centralities are 25%, 20%, and 80%, respectively.

The ratio RCP for KS0 at midrapidity calculated using centrality intervals, 0%–5% vs 40%–60% and 0%–5% vs 60%–80% of the collision cross section. The error bars shown on the points include both statistical and systematic errors.

The ratio RCP for Lambda+Lambdabar at midrapidity calculated using centrality intervals, 0%–5% vs 40%–60% and 0%–5% vs 60%–80% of the collision cross section. The error bars shown on the points include both statistical and systematic errors.

The v2 parameter for KS0 scaled by the number of constituent quarks (n) and plotted versus pT/n. The error bars shown include statistical and point-to-point systematic uncertainties from the background. The additional nonflow systematic uncertainties are approximately 20%.

The v2 parameter for Lambda+Lambdabar scaled by the number of constituent quarks (n) and plotted versus pT/n. The error bars shown include statistical and point-to-point systematic uncertainties from the background. The additional nonflow systematic uncertainties are approximately 20%.