Distribution of $E^{miss}_T$ in data and for the expected SM background in the Single-Muon CR after performing the 'simplified shape fit'. Overflows are included in the fourth bin of each distribution. The $E^{miss}_T$ calculation in this CR does not include the muon contribution. The error bars are statistical, and the dashed band includes statistical and systematic uncertainties determined by the fit. The lower panel shows the ratio of data to expected background event yields.

Distribution of $E^{miss}_T$ in data and for the expected SM background in the Two-Muon CR after performing the 'simplified shape fit'. The $E^{miss}_T$ calculation in this CR does not include the muon contribution. The error bars are statistical, and the dashed band includes statistical and systematic uncertainties determined by the fit. The lower panel shows the ratio of data to expected background event yields.

Distribution of $E^{miss}_T$ in data and for the expected SM background in the Two-Muon CR after performing the 'simplified shape fit'. Overflows are included in the fourth bin of each distribution. The $E^{miss}_T$ calculation in this CR does not include the muon contribution. The error bars are statistical, and the dashed band includes statistical and systematic uncertainties determined by the fit. The lower panel shows the ratio of data to expected background event yields.

Distribution of $E^{miss}_T$ in data and for the expected SM background in the Two-Electron CR after performing the 'simplified shape fit'. The $E^{miss}_$ calculation in this CR does not include electron contribution. The error bars are statistical, and the dashed band includes statistical and systematic uncertainties determined by the fit. The lower panel shows the ratio of data to expected background event yields.

Distribution of $E^{miss}_T$ in data and for the expected SM background in the Two-Electron CR after performing the 'simplified shape fit'. Overflows are included in the fourth bin of each distribution. The $E^{miss}_T$ calculation in this CR does not include electron contribution. The error bars are statistical, and the dashed band includes statistical and systematic uncertainties determined by the fit. The lower panel shows the ratio of data to expected background event yields.

The observed exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The observed exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The expected exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The expected exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The expected + 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The expected + 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The expected - 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The expected - 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The observed exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.1.

The observed exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.1.

The expected exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.1.

The expected exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.1.

The expected + 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.1.

The expected + 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.1.

The expected - 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.1.

The expected - 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a simplified DM model involving an axial-vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.1.

The observed exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The observed exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The expected exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The expected exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The expected + 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The expected + 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The expected - 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The expected - 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0.

The observed exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings and $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.01

The observed exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings and $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.01

The expected exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.01.

The expected exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.01.

The expected + 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.01.

The expected + 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.01.

The expected - 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.01.

The expected - 1 sigma exclusion contours on the $m_{\chi} - m_{med}$ plane for a vector mediator with couplings $g_{\chi}$ = 1, $g_q$ = 0.1 and $g_l$ = 0.01.

The 90% CL exclusion limit on $\chi$-proton spin-dependent scattering cross section in an axial-vector model with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 as a function of the dark-matter mass $m_{\chi}$.

The 90% CL exclusion limit on $\chi$-proton spin-dependent scattering cross section in an axial-vector model with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 as a function of the dark-matter mass $m_{\chi}$. The 90% CL exclusion limit is displayed only in the regime where the theory is perturbative.

The 90% CL exclusion limit on $\chi$-neutron spin-dependent scattering cross section in an axial-vector model with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 as a function of the dark-matter mass $m_{\chi}$.

The 90% CL exclusion limit on $\chi$-neutron spin-dependent scattering cross section in an axial-vector model with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 as a function of the dark-matter mass $m_{\chi}$. The 90% CL exclusion limit is displayed only in the regime where the theory is perturbative.

The 90% CL exclusion limit on $\chi$-nucleon spin-independent scattering cross section in a vector model with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 as a function of the dark-matter mass $m_{\chi}$.

The 90% CL exclusion limit on $\chi$-nucleon spin-independent scattering cross section in a vector model with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 as a function of the dark-matter mass $m_{\chi}$.

Observed and expected exclusion at 95% CL on the coupling $c_W$ as a function of the effective scale $f_a$ for an ALP mass of 1 MeV.

Observed and expected exclusion at 95% CL on the coupling $c_W$ as a function of the effective scale $f_a$ for an ALP mass of 1 MeV.

The observed 95% CL upper limits on signal strength $\mu$, the ratio of the experimental limit to the predicted signal cross section, for a simplified model of dark matter production involving an axial-vector operator and couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 as a function of the mass of the dark matter, $m_{\chi}$ and the mass of the axial-vector mediator, $m_{med}$.

The observed 95% CL upper limits on signal strength $\mu$, the ratio of the experimental limit to the predicted signal cross section, for a simplified model of dark matter production involving an axial-vector operator and couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 as a function of the mass of the dark matter, $m_{\chi}$ and the mass of the axial-vector mediator, $m_{med}$.

The observed 95% CL upper limits on cross section for a simplified model of dark matter production involving an axial-vector operator and couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 as a function of the mass of the dark matter, $m_{\chi}$ and the mass of the axial-vector mediator, $m_{med}$.

The observed 95% CL upper limits on cross section for a simplified model of dark matter production involving an axial-vector operator and couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 as a function of the mass of the dark matter, $m_{\chi}$ and the mass of the axial-vector mediator, $m_{med}$.

Acceptance in % for a simplified model of dark matter production involving an axial-vector operator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 for different values of $m_{\chi}$ and $m_{med}$ in the four inclusive signal regions.

Acceptance in % for a simplified model of dark matter production involving an axial-vector operator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 for different values of $m_{\chi}$ and $m_{med}$ in the four inclusive signal regions.

Acceptance in % for a simplified model of dark matter production involving an axial-vector operator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 for different values of $m_{\chi}$ and $m_{med}$ in the three exclusive signal regions.

Acceptance in % for a simplified model of dark matter production involving an axial-vector operator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 for different values of $m_{\chi}$ and $m_{med}$ in the three exclusive signal regions.

Efficiencies for a simplified model of dark matter production involving an axial-vector operator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 for different values of $m_{\chi}$ and $m_{med}$ in the four inclusive signal regions.

Efficiencies for a simplified model of dark matter production involving an axial-vector operator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 for different values of $m_{\chi}$ and $m_{med}$ in the four inclusive signal regions.

Efficiencies for a simplified model of dark matter production involving an axial-vector operator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 for different values of $m_{\chi}$ and $m_{med}$ in the three exclusive signal regions.

Efficiencies for a simplified model of dark matter production involving an axial-vector operator with couplings $g_{\chi}$ = 1, $g_q$ = 0.25 and $g_l$ = 0 for different values of $m_{\chi}$ and $m_{med}$ in the three exclusive signal regions.

Expected signal yields after each of the analysis selection cuts for the 800 GeV mass point. Total expected events represents all type-III seesaw events expected for integrated luminosity 139 fb$^{-1}$. Only events with at least two leptons were generated for this analysis.

Distribution of $H_\text{T} + E_\text{T}^\text{miss}$ in the opposite-sign electron-electron signal region after the background-only fit.

Distribution of $H_\text{T} + E_\text{T}^\text{miss}$ in the opposite-sign electron-muon signal region after the background-only fit.

Distribution of $H_\text{T} + E_\text{T}^\text{miss}$ in the opposite-sign muon-muon signal region after the background-only fit.

Distribution of $H_\text{T} + E_\text{T}^\text{miss}$ in the same-sign electron-electron signal region after the background-only fit.

Distribution of $H_\text{T} + E_\text{T}^\text{miss}$ in the same-sign electron-muon signal region after the background-only fit.

Distribution of $H_\text{T} + E_\text{T}^\text{miss}$ in the same-sign muon-muon signal region after the background-only fit.

Collins-like asymmetries as a function of particle-jet $p_T$.

Collins-like asymmetries as a function of particle-jet $p_T$.

Collins-like asymmetries as a function of pion $z$.

Collins-like asymmetries as a function of pion $z$.

Collins-like asymmetries as a function of pion $z$.

Collins-like asymmetries as a function of particle-jet $p_T$ for pions reconstructed with $0.1 < z < 0.3$.

Collins-like asymmetries as a function of pion $z$ for jets reconstructed with $6.0 < p_T < 13.8$ GeV/$c$.

Collins asymmetries as a function of particle-jet $p_T$.

Collins asymmetries as a function of particle-jet $p_T$.

Collins asymmetries as a function of particle-jet $p_T$.

Collins asymmetries as a function of pion $z$.

Collins asymmetries as a function of pion $z$.

Collins asymmetries as a function of pion $z$.

Collins asymmetries as a function of pion $j_T$ for jets reconstructed with $22.7 < p_T < 55.0$ GeV/$c$.

Collins asymmetries as a function of pion $j_T$ for jets reconstructed with $22.7 < p_T < 55.0$ GeV/$c$.

Collins asymmetries as a function of pion $j_T$ for jets reconstructed with $22.7 < p_T < 55.0$ GeV/$c$.

Collins asymmetries as a function of pion $z$ for jets reconstructed with $22.7 < p_T < 55.0$ GeV/$c$ and $0 < \eta < 1$.

Slopes and intercepts of $<p_x>/<p_T>(\eta)$ in Cu+Au and Au+Au collisions.

Slopes and intercepts of $v_1(\eta)$ in Cu+Au and Au+Au collisions.

Centrality dependence of $v_1^{fluc(even)}$ and $<p_x>/<p_T>$ in Cu+Au and Au+Au collisions.

$p_T$ dependence of $v_1^{fluc(even)}$ and $v_1^{conv(odd)}$ in Cu+Au and Au+Au collisions.

$p_T$ dependence of $v_1$ measured with three-point correlator in Cu+Au collisions

$p_T$ dependence of $v_1$ measured with three-point correlator in Cu+Au collisions

$\eta$ dependence of $v_1$ measured with three-point correlator in Cu+Au collisions

Directed flow $v_1(p_T)$ of $\pi^+ + \pi^-$ in Cu+Au collisions.

Directed flow $v_1(p_T)$ of $K^++K^-$ in Cu+Au collisions.

Directed flow $v_1(p_T)$ of $p+\bar{p}$ in Cu+Au collisions.

Centrality dpendence of $<p_x>$ of positively and negatively charged particles and its differece in Cu+Au and Au+Au collisions.

Higher harmonic flow coefficients $v_n{\Psi_n}$ of charged particles for different centrality bins in Cu+Au collisions.

Higher harmonic flow coefficients of charged particles for different centrality bins in Cu+Au collisions.

Higher harmonic flow coefficients $v_n{\Psi_n}$ of charged particles for different centrality bins in Cu+Au collisions.

Higher harmonic flow coefficients $v_n$ of charged particles for two selected $p_T$ bins as a function of the number of participants calculated with a Monte-Carlo Glauber simulationin Cu+Au collisions.

Higher harmonic flow coefficients $v_n$ of charged particles for two selected $p_T$ bins as a function of the number of participants calculated with a Monte-Carlo Glauber simulationin Cu+Au collisions.

The second and third harmonic flow coefficients $v_n(p_T)$ of charged particles measured with the scalar product method for 0-5% and 20-30% centrality bins in Cu+Au collisions.

The second $v_2(p_T)$ harmonic flow coefficients of $\pi$ for different centrality bins in Cu+Au collisions.

The second $v_2(p_T)$ harmonic flow coefficients of p for different centrality bins in Cu+Au collisions.

The third $v_3(p_T)$ harmonic flow coefficients of $\pi$ for different centrality bins in Cu+Au collisions.

The third $v_3(p_T)$ harmonic flow coefficients of p for different centrality bins in Cu+Au collisions.

The second $v_2(p_T)$ and third $v_3(p_T)$ harmonic flow coefficients of K for different centrality bins in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

Comparison of data to Monte Carlo for the distributions of two-photon invariant mass (left) and energy for the higher (center) and lower (right) energy photon.

Invariant mass distribution for the two-photon system with 7 < pT < 8 GeV/c.

Signal fractions calculated within the “peak region” of 0.1 < $M_{\gamma\gamma}$ < 0.2 $GeV/c^{2}$. Fractions for the full dataset as well as the subsets of longitudinal and transverse polarizations are shown as a function of pT (left), and the fractions for the transversely polarized data are shown as a function of $x_{F}$ integrated over 5 < pT < 12 GeV/c (right).

Signal fractions calculated within the “peak region” of 0.1 < $M_{\gamma\gamma}$ < 0.2 $GeV/c^{2}$. Fractions for the full dataset as well as the subsets of longitudinal and transverse polarizations are shown as a function of pT (left), and the fractions for the transversely polarized data are shown as a function of $x_{F}$ integrated over 5 < pT < 12 GeV/c (right).

Upper panel, the $\pi^{0}$ cross section (blue markers) is shown compared with an NLO pQCD cal- culation with three options for the scale parameter. The lower panel presents the ratio of the data to the pT-scale theory curve, as well as the ratio of the 2pT-scale and pT/2-scale theory curves to the pT-scale curve.

Upper panel, the $\pi^{0}$ cross section (blue markers) is shown compared with an NLO pQCD cal- culation with three options for the scale parameter. The lower panel presents the ratio of the data to the pT-scale theory curve, as well as the ratio of the 2pT-scale and pT/2-scale theory curves to the pT-scale curve.

The ALL results (blue markers) are presented with the DSSV prediction and the GRSV prediction using the best fit to polarized DIS ($\Delta$ g = std) and the maximum and minimum allowed values for gluon polarization.

The ALL results (blue markers) are presented with the DSSV prediction and the GRSV prediction using the best fit to polarized DIS ($\Delta$ g = std) and the maximum and minimum allowed values for gluon polarization.

The ALL results (blue markers) are presented with the DSSV prediction and the GRSV prediction using the best fit to polarized DIS ($\Delta$ g = std) and the maximum and minimum allowed values for gluon polarization.

The AN results are plotted versus $x_{F}$ integrated over 5 < pT < 12 GeV/c (left panel) and versus pT integrated over 0.06 < |$x_{F}$| < 0.27 (right panel).

The AN results are plotted versus $x_{F}$ integrated over 5 < pT < 12 GeV/c (left panel) and versus pT integrated over 0.06 < |$x_{F}$| < 0.27 (right panel).

The AN results are plotted versus $x_{F}$ integrated over 5 < pT < 12 GeV/c (left panel) and versus pT integrated over 0.06 < |x_{F}| < 0.27 (right panel).

The AN results are plotted versus $x_{F}$ integrated over 5 < pT < 12 GeV/c (left panel) and versus pT integrated over 0.06 < |$x_{F}$| < 0.27 (right panel).

Projections of 2-D correlation functions on $\Delta \phi$ (a) (with $|\Delta \eta|$ < 1.0) and $\Delta \eta$ (b) (with $|\Delta \phi|$ < 0.7) for the hadrons associated with their respective triggers (T1 for near-side, T2 for away–side) are shown for d+Au (circles) and central 0-20% Au+Au (squares) data.

Projections of 2-D correlation functions on $\Delta \phi$ (a) (with $|\Delta \eta|$ < 1.0) and $\Delta \eta$ (b) (with $|\Delta \phi|$ < 0.7) for the hadrons associated with their respective triggers (T1 for near-side, T2 for away–side) are shown for d+Au (circles) and central 0-20% Au+Au (squares) data.

Projections of 2-D correlation functions on $\Delta \phi$ (a) (with $|\Delta \eta|$ < 1.0) and $\Delta \eta$ (b) (with $|\Delta \phi|$ < 0.7) for the hadrons associated with their respective triggers (T1 for near-side, T2 for away–side) are shown for d+Au (circles) and central 0-20% Au+Au (squares) data.

The relative di-jet energy imbalance estimate $\Delta(\Sigma E_{T})^{Au+Au}-\Delta(\Sigma E_{T})^{d+Au}$.

Conditional di-jet survival probability measured through di-jet relative suppression rates $I_{d+Au}^{Au+Au}$ as a function of centrality.

Comparison of dynamical $\langle p_{t}\rangle$ fluctuations in Au+Au and Cu+Cu collisions at $\sqrt{s_{NN}}$ = 62.4 and 200 GeV as a function of the number of participanting nucleons.

(a) $p_{t}$ correlations, (b) $p_{t}$ correlations multiplied by $\langle N_{part}\rangle/2$, (c) square root of $p_{t}$ correlations scaled by $\langle\langle p_{t}\rangle\rangle$, and (d) square root of $p_{t}$ correlations multiplied by $\langle N_{part}\rangle/2$ and scaled by $\langle\langle p_{t}\rangle\rangle$, plotted vs. $\langle N_{part}\rangle$

(a) $p_{t}$ correlations, (b) $p_{t}$ correlations multiplied by $\langle N_{part}\rangle/2$, (c) square root of $p_{t}$ correlations scaled by $\langle\langle p_{t}\rangle\rangle$, and (d) square root of $p_{t}$ correlations multiplied by $\langle N_{part}\rangle/2$ and scaled by $\langle\langle p_{t}\rangle\rangle$, plotted vs. $\langle N_{part}\rangle$

(a) $p_{t}$ correlations, (b) $p_{t}$ correlations multiplied by $\langle N_{part}\rangle/2$, (c) square root of $p_{t}$ correlations scaled by $\langle\langle p_{t}\rangle\rangle$, and (d) square root of $p_{t}$ correlations multiplied by $\langle N_{part}\rangle/2$ and scaled by $\langle\langle p_{t}\rangle\rangle$, plotted vs. $\langle N_{part}\rangle$

Comparison of scaled $p_{t}$ correlations between data and models for Au+Au [panels (a) and (c)] and Cu+Cu [panels (b) and (d)] collisions at 200 GeV.

Comparison of scaled $p_{t}$ correlations between data and models for Au+Au [panels (a) and (c)] and Cu+Cu [panels (b) and (d)] collisions at 200 GeV.

$p_{t}$ correlations for varying rapidity acceptance ($|\eta|$ <0.25, 0.5, and 1.0) for Cu+Cu collisions at $\sqrt{s_{NN}}$ = 200 GeV [panel (a)] and 62.4 GeV [panel (b)].

$p_{t}$ correlations for varying azimuthal acceptance for Cu+Cu collisions at $\sqrt{s_{NN}}$ = 200 GeV [panels (a) and (c)] and 62.4 GeV [panels (b) and (d)].

$p_{t}$ correlations for varying azimuthal acceptance for Cu+Cu collisions at $\sqrt{s_{NN}}$ = 200 GeV [panels (a) and (c)] and 62.4 GeV [panels (b) and (d)].

$p_{t}$ correlations plotted as a function of $\langle N_{part}\rangle$ for different $p_{t}$ ranges in Cu+Cu collisions at (a) 200 GeV and (b) 62.4 GeV.

$p_{t}$ correlations plotted as a function of $\langle N_{part}\rangle$ for different $p_{t}$ ranges in Cu+Cu collisions at (a) 200 GeV and (b) 62.4 GeV.

Correlations for varying $p_{t}$ ranges for different model calculations in Cu+Cu 200 GeV. (a) AMPT (SM), (b) URQMD, and (c) Hijing (no JQ).

Uncorrected inclusive charged particle $p_{t}$ spectrum for 0%–10% collision centrality for Cu+Cu 200 GeV (open circles).

Correlations scaled by $(d\langle p_{t}\rangle/dT)^{2}T^{2}$ vs. $\langle N_{part}\rangle$ for different $p_{t}$ ranges in Cu+Cu 200 GeV.