Ratio of $p_{\mathrm{T,ch\ jet}}$-differential cross section of charm jets tagged with $\mathrm{D^{0}}$ mesons for different $R$: $\sigma(R=0.2)/\sigma(R=0.4)$ and $\sigma(R=0.2)/\sigma(R=0.6)$ in pp collisions at $\sqrt{s}=13$ TeV.

Ratio of $p_{\mathrm{T,ch\ jet}}$-differential cross section of charm jets tagged with $\mathrm{D^{0}}$ mesons for different $R$: $\sigma(R=0.2)/\sigma(R=0.4)$ and $\sigma(R=0.2)/\sigma(R=0.6)$ in pp collisions at $\sqrt{s}=5.02$ TeV.

The fraction of $\mathrm{D^{0}}$ jets over inclusive charged-particle jets in pp collisions at $\sqrt{s}=5.02$ TeV for $R=0.2$, $0.4$, and $0.6$.

Distributions of $z^{\mathrm{ch}}_{||}$-differential yield of charm jets tagged with $\mathrm{D^{0}}$ mesons normalised by the number of $\mathrm{D^{0}}$ jets within each distribution in pp collisions at $\sqrt{s}=13$ TeV in four jet-$p_{\mathrm{T}}$ intervals $5<p_{\mathrm{T,ch\ jet}}<7$ GeV/$c$, $7<p_{\mathrm{T,ch\ jet}}<10$ GeV/$c$, $10<p_{\mathrm{T,ch\ jet}}<15$ GeV/$c$, and $15<p_{\mathrm{T,ch\ jet}}<50$ GeV/$c$ for jet radii $R=0.2$, $0.4$, and $0.6$.

Distributions of $z^{\mathrm{ch}}_{||}$-differential yield of charm jets tagged with $\mathrm{D^{0}}$ mesons normalised by the number of $\mathrm{D^{0}}$ jets within each distribution in pp collisions at $\sqrt{s}=5.02$ TeV in four jet-$p_{\mathrm{T}}$ intervals $5<p_{\mathrm{T,ch\ jet}}<7$ GeV/$c$, $7<p_{\mathrm{T,ch\ jet}}<10$ GeV/$c$, $10<p_{\mathrm{T,ch\ jet}}<15$ GeV/$c$, and $15<p_{\mathrm{T,ch\ jet}}<50$ GeV/$c$ for jet radii $R=0.2$, $0.4$, and $0.6$.

$p_{\mathrm{T,ch\ jet}}$-differential cross section of charm jets tagged with $\mathrm{D^{0}}$ mesons for $R=0.3$ in pp collisions at $\sqrt{s}=5.02$ TeV.

The fraction of $\mathrm{D^{0}}$ jets over inclusive charged-particle jets in pp collisions at $\sqrt{s}=5.02$ TeV for $R=0.3$.

Distributions of $z^{\mathrm{ch}}_{||}$-differential yield of charm jets tagged with $\mathrm{D^{0}}$ mesons normalised by the number of $\mathrm{D^{0}}$ jets within each distribution in pp collisions at $\sqrt{s}=5.02$ TeV in four jet-$p_{\mathrm{T}}$ intervals $5<p_{\mathrm{T,ch\ jet}}<7$ GeV/$c$, $7<p_{\mathrm{T,ch\ jet}}<10$ GeV/$c$, $10<p_{\mathrm{T,ch\ jet}}<15$ GeV/$c$, and $15<p_{\mathrm{T,ch\ jet}}<50$ GeV/$c$ for jet radius $R=0.3$.

Fit of elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\pi^{+}\pi^{-}$ photoproduction off protons with a Soeding-inspired analytic function --- statistical correlations only. Only one half of the (symmetric) matrix is stored.

Elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\pi^{+}\pi^{-}$ photoproduction off protons, differential in the dipion mass and in bins of $W$. The tabulated cross sections are $\gamma p$ cross sections but can be converted to $ep$ cross sections using the effective photon flux $\Phi_{\gamma/e}$.

Elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\pi^{+}\pi^{-}$ photoproduction off protons, differential in the dipion mass and in bins of $W$ --- statistical correlations coefficients $\rho_{ij}$ only. Only one half of the (symmetric) matrix is stored. Bins are identified by their global bin number.

Elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\rho^0(770)$ photoproduction off protons, in bins of the photon-proton energy $W$. The cross section is defined as the integral of the relativistic Breit Wigner resonance in the dipion mass over the range $2m_\pi<m_{\pi\pi}<1.53$ GeV. The tabulated cross sections are $\gamma p$ cross sections but can be converted to $ep$ cross sections using the effective photon flux $\Phi_{\gamma/e}$.

Elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\rho^0(770)$ photoproduction off protons in bins of the photon-proton energy $W$ --- statistical correlations coefficients $\rho_{ij}$ only. Only one half of the (symmetric) matrix is stored. Bins are identified by their global bin number.

Fit of elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\rho^0(770)$ photoproduction cross sections off protons as a function of energy. Parameters with subscript "el" and "pd" correspond to elastic and proton-dissociative cross sections, respectively.

Fit of elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\rho^0(770)$ photoproduction cross sections off protons as a function of energy --- statistical correlations coefficients $\rho_{ij}$ only. Only one half of the (symmetric) matrix is stored. Bins are identified by their global bin number.

Fit of elastic $\rho^0(770)$ photoproduction cross section off protons as a function of energy (various experiments)

Fit of elastic $\rho^0(770)$ photoproduction cross sections off protons as a function of energy (various experiments) --- statistical correlations coefficients $\rho_{ij}$ only. Only one half of the (symmetric) matrix is stored. Bins are identified by their global bin number.

Elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\pi^{+}\pi^{-}$ photoproduction cross section off protons, double-differential in the dipion mass and the momentum transfer $\vert t\vert$. The tabulated cross sections are $\gamma p$ cross sections but can be converted to $ep$ cross sections using the effective photon flux $\Phi_{\gamma/e}$.

Elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\pi^{+}\pi^{-}$ photoproduction cross section off protons, double-differential in the dipion mass and the momentum transfer $\vert t\vert$ --- statistical correlations coefficients $\rho_{ij}$ only. Only one half of the (symmetric) matrix is stored. Bins are identified by their global bin number.

Elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\rho^0(770)$ photoproduction off protons, single-differential in the momentum transfer $\vert t\vert$. The cross section is defined as the integral of the relativistic Breit Wigner resonance in the dipion mass over the range $2m_\pi<m_{\pi\pi}<1.53$ GeV. The tabulated cross sections are $\gamma p$ cross sections but can be converted to $ep$ cross sections using the effective photon flux $\Phi_{\gamma/e}$.

Elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\rho^0(770)$ photoproduction off protons, single differential in the momentum transfer $\vert t\vert$ --- statistical correlations coefficients $\rho_{ij}$ only. Only one half of the (symmetric) matrix is stored. Bins are identified by their global bin number.

Fit of elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\rho^0(770)$ photoproduction single-differential cross sections off protons as a function of momentum transfer $t$. Parameters with subscript "el" and "pd" correspond to elastic and proton-dissociative cross sections, respectively.

Fit of elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\rho^0(770)$ photoproduction single-differential cross sections off protons as a function of momentum transfer $t$ --- statistical correlations coefficients $\rho_{ij}$ only. Only one half of the (symmetric) matrix is stored. Bins are identified by their global bin number.

Elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\pi^{+}\pi^{-}$ photoproduction double-differenial cross section off protons, as a function of the dipion mass and the momentum transfer $\vert t\vert$, in bins of the photon-proton energy $W$ The tabulated cross sections are $\gamma p$ cross sections but can be converted to $ep$ cross sections using the effective photon flux $\Phi_{\gamma/e}$.

Elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\pi^{+}\pi^{-}$ photoproduction double-differenial cross section off protons, as a function of the dipion mass and the momentum transfer $\vert t\vert$, in bins of the photon-proton energy $W$ --- statistical correlations coefficients $\rho_{ij}$ only. Only one half of the (symmetric) matrix is stored. Bins are identified by their global bin number.

Elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\rho^0(770)$ photoproduction off protons, single-differential in the momentum transfer $\vert t\vert$, in bins of the photon-proton energy $W$. The cross section is defined as the integral of the relativistic Breit Wigner resonance in the dipion mass over the range $2m_\pi<m_{\pi\pi}<1.53$ GeV. The tabulated cross sections are $\gamma p$ cross sections but can be converted to $ep$ cross sections using the effective photon flux $\Phi_{\gamma/e}$.

Elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\rho^0(770)$ photoproduction cross section off protons, single differential in the momentum transfer $\vert t\vert$ and in bins of the photon-proton energy $W$ --- statistical correlations coefficients $\rho_{ij}$ only. Only one half of the (symmetric) matrix is stored. Bins are identified by their global bin number.

Regge fit of elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\rho^0(770)$ photoproduction single-differential cross sections off protons as a function of momentum transfer $t$ and photon-proton energy $W$. Parameters with subscript "el" and "pd" correspond to elastic and proton-dissociative cross sections, respectively.

Regge fit of elastic ($m_Y=m_p$) and proton-dissociative ($1<m_Y<10$ GeV) $\rho^0(770)$ photoproduction single-differential cross sections off protons as a function of momentum transfer $t$ and photon-proton energy $W$ --- statistical correlations coefficients $\rho_{ij}$ only. Only one half of the (symmetric) matrix is stored. Bins are identified by their global bin number.

Fit of $b$-slopes in elastic ($m_Y=m_p$) $\rho^0(770)$ photoproduction single-differential cross sections off protons as a function of momentum transfer $t$ in bins of photon-proton energy $W$.

Fit of $b$-slopes in elastic ($m_Y=m_p$) $\rho^0(770)$ photoproduction single-differential cross sections off protons as a function of momentum transfer $t$ in bins of photon-proton energy $W$ --- statistical correlations coefficients $\rho_{ij}$ only. Only one half of the (symmetric) matrix is stored. Bins are identified by their global bin number.

Fit of Pomeron trajectories in elastic ($m_Y=m_p$) $\rho^0(770)$ photoproduction single-differential cross sections off protons as a function of momentum transfer $t$ in bins of photon-proton energy $W$.

Fit of Pomeron trajectories in elastic ($m_Y=m_p$) $\rho^0(770)$ photoproduction single-differential cross sections off protons as a function of momentum transfer $t$ in bins of photon-proton energy $W$ --- statistical correlations coefficients $\rho_{ij}$ only. Only one half of the (symmetric) matrix is stored. Bins are identified by their global bin number.

$^3\overline{\mathrm{H}} /\,^3\mathrm{H}$ ratio in $\mathrm{INEL}>0$ p--Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$

Transverse momentum spectra obtained from the average of $^3\mathrm{He}$ and $^3\overline{\mathrm{He}}$ for $\mathrm{INEL}>0$ events in p$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$

Transverse momentum spectra obtained from the average of $^3\mathrm{He}$ and $^3\overline{\mathrm{He}}$ for events in 0$-$10% multiplicity class in p$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$

Transverse momentum spectra obtained from the average of $^3\mathrm{He}$ and $^3\overline{\mathrm{He}}$ for events in 10$-$20% multiplicity class in p$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$

Transverse momentum spectra obtained from the average of $^3\mathrm{He}$ and $^3\overline{\mathrm{He}}$ for events in 20$-$40% multiplicity class in p--Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$

Transverse momentum spectra obtained from the average of $^3\mathrm{He}$ and $^3\overline{\mathrm{He}}$ for events in 40$-$100% multiplicity class in p--Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$

Mean transverse momentum obtained from the average of $^3\mathrm{He}$ and $^3\overline{\mathrm{He}}$ as a function of the mean charged-particle multiplicity density in p--Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV

$(^3\mathrm{He} +\,^3\overline{\mathrm{He}}) / (\mathrm{p} + \overline{\mathrm{p}})$ ratio in p$-$Pb as a function of the mean charged-particle multiplicity density

$(^3\mathrm{H} +\,^3\overline{\mathrm{H}}) / (\mathrm{p} + \overline{\mathrm{p}})$ ratio in p$-$Pb as a function of the mean charged-particle multiplicity density

Coalescence parameter $B_3$ calculated using the average of $\mathrm{INEL}>0$ $^3\mathrm{He}$ and $^3\overline{\mathrm{He}}$ yields

Coalescence parameter $B_3$ calculated using the average of $\mathrm{INEL}>0$ $^3\mathrm{H}$ and $^3\overline{\mathrm{H}}$ yields

Ratio of (anti-)$^3$H and (anti-)$^3$He yields

Coalescence parameter $B_3$ calculated using the average of $^3\mathrm{He}$ and $^3\overline{\mathrm{He}}$ for $\mathrm{INEL}>0$ events in p$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$

Coalescence parameter $B_3$ calculated using the average of $^3\mathrm{He}$ and $^3\overline{\mathrm{He}}$ for events in 0$-$10% multiplicity class in p$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$

Coalescence parameter $B_3$ calculated using the average of $^3\mathrm{He}$ and $^3\overline{\mathrm{He}}$ for events in 10$-$20% multiplicity class in p$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$

Coalescence parameter $B_3$ calculated using the average of $^3\mathrm{He}$ and $^3\overline{\mathrm{He}}$ for events in 20$-$40% multiplicity class in p--Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$

Coalescence parameter $B_3$ calculated using the average of $^3\mathrm{He}$ and $^3\overline{\mathrm{He}}$ for events in 40$-$100% multiplicity class in p--Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$

Integrated production yield obtained from the average of $^3\mathrm{He}$ and $^3\overline{\mathrm{He}}$ corrected for the spin degeneracy factor $(2J +1)$ for minimum-bias p--Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$

Upper limit on the integrated production yield of $^4\overline{\mathrm{He}}$ at 90$\%$ confidence level corrected for the spin degeneracy factor $(2J +1)$ for minimum-bias p--Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$

Integrated production yield obtained from the average of $^3\mathrm{He}$ and $^3\overline{\mathrm{He}}$ for the different multiplicity classes and $\mathrm{INEL} > 0$ p--Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$

Integrated production yield obtained from the average of $^3\mathrm{H}$ and $^3\overline{\mathrm{H}}$ for $\mathrm{INEL} > 0$ p--Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$

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$R_{pPb}$ 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 $\langle T_{Pb} \rangle$.

Average of relative D$^{0}$, D$^{+}$ and D*$^{+}$ meson yields for the sum of particles and antiparticles in several multiplicity and PT(D) intervals for p-Pb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV as a function of the relative charged-particle multiplicity at central rapidity. The values are reported together with their uncertainties, which are quoted in the order: statistical, systematic and feed-down contribution uncertainties. The yields reported here are per inelastic event. The global normalisation uncertainty of $3.1\%$ is not shown.

Average of relative D$^{0}$, D$^{+}$ and D*$^{+}$ meson yields for the sum of particles and antiparticles in several multiplicity and PT(D) intervals for p-Pb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV as a function of the relative average multiplicity in the VZERO detector, $N_{V0A} \big/ \langle N_{V0A} \rangle$. The uncertainties are shown in the following order: statistical, systematic, and feed-down contribution uncertainties. The global normalisation uncertainty of $3.1\%$ is not shown. The yields reported here are normalised to the inelastic cross section. For $1 < PT(D) < 2$ GeV/c and $12 < PT(D) < 24$ GeV/c, the final two multiplicity intervals are merged.

pT-differential invariant yield of charged kaons in p-Pb collisions with centre-of-mass energy/nucleon=5.02 TeV, measured for NSD events. The first uncertainty is statistical, the second one is the total systematic uncertainty, while the third one is the uncorrelated systematic uncertainty which is multiplicity dependent.

pT-differential invariant yield of protons+antiprotons in p-Pb collisions with centre-of-mass energy/nucleon=5.02 TeV, measured for different V0A multiplicity classes. The first uncertainty is statistical, the second one is the total systematic uncertainty, while the third one is the uncorrelated systematic uncertainty which is multiplicity dependent.

pT-differential invariant yield of protons+antiprotons in p-Pb collisions with centre-of-mass energy/nucleon=5.02 TeV, measured for NSD events. The first uncertainty is statistical, the second one is the total systematic uncertainty, while the third one is the uncorrelated systematic uncertainty which is multiplicity dependent.

pT-differential invariant yield of charged pions in INEL p-p collisions with centre-of-mass energies 5.02 TeV and 7.0 TeV. The first uncertainty is statistical, the second is the systematic one.

pT-differential invariant yield of charged kaons in INEL p-p collisions with centre-of-mass energies 5.02 TeV and 7.0 TeV. The first uncertainty is statistical, the second is the systematic one.

pT-differential invariant yield of protons+antiprotons in INEL p-p collisions with centre-of-mass energies 5.02 TeV and 7.0 TeV. The first uncertainty is statistical, the second is the systematic one.

The nuclear modification factor RPPB of charged pions, charged kaons and protons+antiprotons as a function of pT in NSD p-Pb collisions with centre-of-mass energy/nucleon=5.02 TeV. The first uncertainty is statistical, the second is the systematic one.

pT-dependent charged kaon to charged pion production ratios in p-Pb collisions with centre-of-mass energy/nucleon=5.02 TeV, measured for different V0A multiplicity classes. The first uncertainty is statistical, the second one is the total systematic uncertainty, while the third one is the uncorrelated systematic uncertainty which is multiplicity dependent.

pT-dependent proton+antiproton to charged pion production ratios in p-Pb collisions with centre-of-mass energy/nucleon=5.02 TeV, measured for different V0A multiplicity classes. The first uncertainty is statistical, the second one is the total systematic uncertainty, while the third one is the uncorrelated systematic uncertainty which is multiplicity dependent.

pT-integrated charged kaon to charged pion and proton+antiproton to charged pion production ratios as a function of average multiplicities in p-Pb collisions with centre-of-mass energy/nucleon=5.02 TeV, measured for different V0A multiplicity classes. The first uncertainty is statistical, the second one is the total systematic uncertainty, while the third one is the uncorrelated systematic uncertainty which is multiplicity dependent.

The jet-like yield in $\mid\Delta\eta\mid<$0.78 as a function of $p_T^{trigger}$ for $K_S^0$-h and $\Lambda$-h correlations for 1.5 GeV/$c$ < $p_T^{associated}$ < $p_T^{trigger}$ in minimum bias $d$+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. Statistical errors listed in table. 5.4% systematic error on all points.

The jet-like yield in $\mid\Delta\eta\mid<$0.78 as a function of $p_T^{trigger}$ for $K_S^0$-h and $\Lambda$-h correlations for 1.5 GeV/$c$ < $p_T^{associated}$ < $p_T^{trigger}$ in 0-60% Cu+Cu collisions at $\sqrt{s_{NN}}$ = 200 GeV. Statistical errors listed in table. 5.4% systematic error on all points.

The jet-like yield in $\mid\Delta\eta\mid<$0.78 as a function of $p_T^{trigger}$ for $K_S^0$-h and $\Lambda$-h correlations for 1.5 GeV/$c$ < $p_T^{associated}$ < $p_T^{trigger}$ in 40-80% Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. Statistical errors listed in table. 5.4% systematic error on all points.

The jet-like yield in $\mid\Delta\eta\mid<$0.78 as a function of $p_T^{trigger}$ for $K_S^0$-h and $\Lambda$-h correlations for 1.5 GeV/$c$ < $p_T^{associated}$ < $p_T^{trigger}$ in 0-12% Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. Statistical errors listed in table. 5.4% systematic error on all points.

Centrality dependence of the jet-like yield of $K_S^0$-h and $\Lambda$-h correlations for 3 < $p_T^{trigger}$ < 6 GeV/$c$ and 1.5 GeV/$c$ < $p_T^{associated}$ < $p_T^{trigger}$ in Cu+Cu collisions at $\sqrt{s_{NN}}$ = 200 GeV. 5.4% systematic error on all points.

Centrality dependence of the jet-like yield of $K_S^0$-h and $\Lambda$-h correlations for 3 < $p_T^{trigger}$ < 6 GeV/$c$ and 1.5 GeV/$c$ < $p_T^{associated}$ < $p_T^{trigger}$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. 5.4% systematic error on all points.

Centrality dependence of the jet-like yield of $K_S^0$-h and $\Lambda$-h correlations for 3 < $p_T^{trigger}$ < 6 GeV/$c$ and 1.5 GeV/$c$ < $p_T^{associated}$ < $p_T^{trigger}$ in $d$+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. 5.4% systematic error on all points.

Centrality dependence of the jet-like yield of $K_S^0$-h and $\Lambda$-h correlations for 3 < $p_T^{trigger}$ < 6 GeV/$c$ and 1.5 GeV/$c$ < $p_T^{associated}$ < $p_T^{trigger}$ in minimum bias $d$+Au and 0-60% central Cu+Cu collisions at $\sqrt{s_{NN}}$ = 200 GeV. 5.4% systematic error on all points.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Dielectron invariant mass spectra from minimum-bias.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Two-dimensional $\Delta\phi$ vs. $\Delta\eta$ correlation functions for non-pion triggers from 0-10% most-central Au+Au data at 200 GeV. All trigger and associated charged hadrons are selected in the respective pT ranges 4 < $p_T^{trig}$ < 5 GeV/c and 1.5 < $p_T^{assoc}$ < 4 GeV/c.

Two-dimensional $\Delta\phi$ vs. $\Delta\eta$ correlation functions for pion triggers from minimum-bias d+Au data at 200 GeV. All trigger and associated charged hadrons are selected in the respective pT ranges 4 < $p_T^{trig}$ < 5 GeV/c and 1.5 < $p_T^{assoc}$ < 4 GeV/c.

Two-dimensional $\Delta\phi$ vs. $\Delta\eta$ correlation functions for pion triggers from 0-10% most-central Au+Au data at 200 GeV. All trigger and associated charged hadrons are selected in the respective pT ranges 4 < $p_T^{trig}$ < 5 GeV/c and 1.5 < $p_T^{assoc}$ < 4 GeV/c.

The $\Delta\phi$ projections of the pure-cone correlations for |$\Delta\phi$| < $\pi$/4 for pion triggers.

The $\Delta\eta$ projections of the pure-cone correlations for |$\Delta\eta$| < 0.78 for pion triggers.

The $\Delta\phi$ projections of the pure-cone correlations for |$\Delta\phi$| < $\pi$/4 non-pion triggers.

The $\Delta\eta$ projections of the pure-cone correlations for |$\Delta\eta$| < 0.78 non-pion triggers.

$\Delta\phi$ projections over |$\Delta\eta$| < 1.5 in 0-10% Au+Au and minimum-bias d+Au data at 200 GeV after subtracting the jet-like fit components.

Extracted Fourier coefficients from fitting in $\pi$ 2 < $\Delta\phi$ < 3$\pi/2$ ) x (|$\Delta\eta$| < 1.5) (1.52 for d+Au), for pion, non-pion, and charged hadron triggers in the flow-based model.

Extracted Fourier coefficients from fitting in $\pi$ 2 < $\Delta\phi$ < 3$\pi/2$ ) x (|$\Delta\eta$| < 1.5) (1.52 for d+Au), for pion, non-pion, and charged hadron triggers in the flow-based model.

V3/V2 ratio for pion and non-pion triggers in Au+Au, and the extrapolated value for "pure protons".