Two-dimensional distribution of the invariant mass $m_{DV}$ and the track multiplicity in the High-pT jet SR for observed data events

Two-dimensional distribution of the invariant mass $m_{DV}$ and the track multiplicity in the High-pT jet SR for expected signal events in the strong gluino pair pair production model with m(gluino)=1.8 TeV, m(chi0)=0.2 TeV, tau(chi0)=0.1 ns

Two-dimensional distribution of the invariant mass $m_{DV}$ and the track multiplicity in the Trackless jet SR for observed data events

Two-dimensional distribution of the invariant mass $m_{DV}$ and the track multiplicity in the Trackless jet SR for expected signal events in the electroweak pair production model

Expected exclusion limits at 95% CL on the lifetime and mass of the neutralino in electroweakino pair production models

Expected (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in electroweakino pair production models

Expected (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in electroweakino pair production models

Observed exclusion limits at 95% CL on the lifetime and mass of the neutralino in electroweakino pair production models

Observed (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in electroweakino pair production models

Observed (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in electroweakino pair production models

Expected exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.4 TeV

Expected (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.4 TeV

Expected (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.4 TeV

Observed exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.4 TeV

Observed (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.4 TeV

Observed (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.4 TeV

Exclusion limits at 95% CL on the production cross section in the electroweak pair production model.

Exclusion limits at 95% CL on the production cross section in the strong gluino pair production models and m(gluino)=2.4 TeV

Expected exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.0 TeV

Expected (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.0 TeV

Expected (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.0 TeV

Observed exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.0 TeV

Observed (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.0 TeV

Observed (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.0 TeV

Expected exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.2 TeV

Expected (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.2 TeV

Expected (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.2 TeV

Observed exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.2 TeV

Observed (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.2 TeV

Observed (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.2 TeV

Expected exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=50 GeV

Expected (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=50 GeV

Expected (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=50 GeV

Observed exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=50 GeV

Observed (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=50 GeV

Observed (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=50 GeV

Expected exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=450 GeV

Expected (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=450 GeV

Expected (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=450 GeV

Observed exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=450 GeV

Observed (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=450 GeV

Observed (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=450 GeV

Expected exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.01 ns

Expected (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.01 ns

Expected (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.01 ns

Observed exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.01 ns

Observed (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.01 ns

Observed (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.01 ns

Expected exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.1 ns

Expected (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.1 ns

Expected (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.1 ns

Observed exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.1 ns

Observed (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.1 ns

Observed (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.1 ns

Expected exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=1 ns

Expected (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=1 ns

Expected (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=1 ns

Observed exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=1 ns

Observed (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=1 ns

Observed (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=1 ns

Expected exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=10 ns

Expected (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=10 ns

Expected (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=10 ns

Observed exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=10 ns

Observed (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=10 ns

Observed (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=10 ns

Exclusion limits at 95% CL on the production cross section in the strong gluino pair production models and m($ ilde{\chi}^0_1$)=1.25 TeV

Acceptance cutflow for the High-pT SR for representative points in the strong gluino pair production model. See additional resources for more information.

Acceptance cutflow for the Trackless SR for representative points in the electroweak pair production model. See additional resources for more information.

Acceptance cutflow for the Trackless SR for representative points in the electroweak pair production model with heavy-flavor quarks final state. See additional resources for more information.

Acceptance cutflow for the High-pT SR for representative points in the electroweak pair production model with heavy-flavor quarks final state. See additional resources for more information.

Reinterpretation Material: Event-level Efficiency for HighPt SR selections, R < 1150 mm

Reinterpretation Material: Event-level Efficiency for HighPt SR selections, R [1150, 3870] mm

Reinterpretation Material: Event-level Efficiency for HighPt SR selections, R > 3870 mm

Reinterpretation Material: Event-level Efficiency for Trackless SR selections, R < 1150 mm

Reinterpretation Material: Event-level Efficiency for Trackless SR selections, R [1150, 3870] mm

Reinterpretation Material: Event-level Efficiency for Trackless SR selections, R > 3870 mm

Reinterpretation Material: Vertex-level Efficiency for R < 22 mm

Reinterpretation Material: Vertex-level Efficiency for R [22, 25] mm

Reinterpretation Material: Vertex-level Efficiency for R [25, 29] mm

Reinterpretation Material: Vertex-level Efficiency for R [29, 38] mm

Reinterpretation Material: Vertex-level Efficiency for R [38, 46] mm

Reinterpretation Material: Vertex-level Efficiency for R [46, 73] mm

Reinterpretation Material: Vertex-level Efficiency for R [73, 84] mm

Reinterpretation Material: Vertex-level Efficiency for R [84, 111] mm

Reinterpretation Material: Vertex-level Efficiency for R [111, 120] mm

Reinterpretation Material: Vertex-level Efficiency for R [120, 145] mm

Reinterpretation Material: Vertex-level Efficiency for R [145, 180] mm

Reinterpretation Material: Vertex-level Efficiency for R [180, 300] mm

Cutflow (acceptance x efficiency) for the High-pT SR for representative points in the strong gluino pair production model. See additional resources for more information.

Cutflow (acceptance x efficiency) for the Trackless SR for representative points in the electroweak pair production model. See additional resources for more information.

Cutflow (acceptance x efficiency) for the Trackless SR for representative points in the electroweak pair production model with heavy-flavor quarks. See additional resources for more information.

Cutflow (acceptance x efficiency) for the High-pT SR for representative points in the electroweak pair production model with heavy-flavor quarks. See additional resources for more information.

Bayesian upper exclusion limits on the ratio $g_{W'}/g_{W}$ for an SSM-like W$\prime$ boson are shown. The unity coupling ratio (blue dotted curve) corresponds to the SSM common benchmark. The 68 and 95% quantiles of the limits are represented by the green and yellow bands, respectively.

Bayesian lower exclusion limits on the NUGIM G(221) mixing angle $\cot(\theta_{E})$ are shown as a function of the W$\prime$ boson mass. The theoretically excluded region is shaded in grey. The 68 and 95% quantiles of the limits are represented by the green and yellow bands, respectively.

Bayesian upper exclusion limits at 95% CL on the product of the production cross section and branching fraction of a QBH in an associated $ au$ lepton and neutrino final state. Minimum threshold masses $m_{th}$ of up to 6.6 TeV are excluded at 95% CL. The observed limit (solid line) is obtained from the intersection with the LO QBH cross section (blue dotted curve). The 68 and 95% quantiles of the limits are represented by the green and yellow bands, respectively.

Bayesian upper limits at 95% CL on the cross section of the process $pp\rightarrow\tau\nu$ mediated via LQ exchange in the t-channel. The inner (green) band and the outer (yellow) band indicate the regions containing 68 and 95%, respectively, of the distribution of limits expected under the background-only hypothesis. The predicted LQ cross section at LO in the three coupling benchmark scenarios is depicted in different colors for $g_{U}=1$. The uncertainty bandy correspond to the sum in quadrature of PDF and scale variations. The first benchmark scenario considers only couplings to left-handed SM fermions (i.e. $\beta_{\text{R}}^{ij}=0$) and is referred to as "best fit LH". The second benchmark, referred to as "best fit LH+RH", considers $|\beta_{\text{R}}^{\text{b}\tau}|=1$ and all other $\beta_{\text{R}}^{ij}=0$. In the third "democratic" benchmark, equal couplings only to LH fermions are assumed, i.e. $\beta_{\text{L}}^{ij}=1$ and $\beta_{\text{R}}^{ij}=0$ for all $i$ and $j$.

Expected and observed lower limits of the LQ mass as a function of the coupling $g_{U}$ in the LH scenario. The blue band shows the 68% and 95% regions of $g_{U}$ preferred by the fit to the b anomalies data.

Expected and observed lower limits of the LQ mass as a function of the coupling $g_{U}$ in the LH+RH scenario. The blue band shows the 68% and 95% regions of $g_{U}$ preferred by the fit to the b anomalies data.

Expected and observed lower limits of the LQ mass as a function of the coupling $g_{U}$ in the democratic scenario. The blue band shows the 68% and 95% regions of $g_{U}$ preferred by the fit to the b anomalies data.

Bayesian upper exclusion limits at 95% CL on each of the Wilson coefficients described by the EFT model based on 2016-2018 data. The three different coupling types represent a left-handed vector coupling ($\epsilon^{cb}_{L}$), tensor-like coupling ($\epsilon^{cb}_{T}$), and scalar-tensor-like coupling ($\epsilon^{cb}_{S_{L}}$). The 68 and 95% quantiles of the limits are represented by the green and yellow bands, respectively.

Summary of exclusion limits (expected and observed) calculated at 95% CL for full Run-2 CMS data.

Background prediction and observed data yields in the signal region bins. The background yields are obtained from the background-only fit and serve as input to the simplified likelihood reinterpretation scheme. The naming of the bins is "year_binnumber", following the binning from Figure 4.

Matrix of covariance coefficients between signal region bins. The coefficients are obtained from the background-only fit and serve as input to the simplified likelihood reinterpretation scheme. The naming of the bins is "year_binnumber", following the binning used in Figure 4.

Predicted signal yields for the 2017 data-taking period, corresponding to 41.3 fb$^{-1}$, after the application of each search requirement (cumulative) for various signal hypothesis. The requirements listed are presented as total efficiencies w.r.t. the previous selection step.

Covariance matrix for the extrapolation uncertainty for the measurement of the absolute differential cross section as a function of the rho observable at parton level.

Normalized differential cross section as a function of the rho observable at parton level.

Covariance matrix for the total uncertainty (i.e. fit including stat., not extrapolation) for the measurement of the normalized differential cross section as a function of the rho observable at parton level.

Covariance matrix for the statistical uncertainty for the measurement of the normalized differential cross section as a function of the rho observable at parton level.

Covariance matrix for the extrapolation uncertainty for the measurement of the normalized differential cross section as a function of the rho observable at parton level.

Correlation matrix for all nuisance parameters and parameters of interest of the Likelihood fit.

This table is a numerical representation of Fig. 8 for all nuisance parameters.

Centrality dependence of (a) $v_2${2} and (b) $v_2${4}. (a) The red points indicate no pseudorapidity gap whereas the magenta points indicate a pseudorapidity gap of |$\Delta\eta$| > 2.0. (b) The black points indicate $v_2${4} with no pseudorapidity gap, the blue points indicate a two-subevent method with |$\Delta\eta$| > 2.0 but where some short-range pairs are allowed, and the red points indicate a two-subevent method with |$\Delta\eta$| > 2.0 where no short-range pairs are allowed.

Centrality dependence of (a) $v_2${2} and (b) $v_2${4}. (a) The red points indicate no pseudorapidity gap whereas the magenta points indicate a pseudorapidity gap of |$\Delta\eta$| > 2.0. (b) The black points indicate $v_2${4} with no pseudorapidity gap, the blue points indicate a two-subevent method with |$\Delta\eta$| > 2.0 but where some short-range pairs are allowed, and the red points indicate a two-subevent method with |$\Delta\eta$| > 2.0 where no short-range pairs are allowed.

Multi-particle $v_2$ as a function of centrality in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. The magenta open diamonds indicate the $v_2${SP }, the blue open squares indicate $v_2${4}, the black open circles indicate $v_2${6}, and the green filled diamonds indicate $v_2${8}.

Multi-particle $v_2$ as a function of centrality in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. The magenta open diamonds indicate the $v_2${SP }, the blue open squares indicate $v_2${4}, the black open circles indicate $v_2${6}, and the green filled diamonds indicate $v_2${8}.

Multi-particle $v_2$ as a function of centrality in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. The magenta open diamonds indicate the $v_2${SP }, the blue open squares indicate $v_2${4}, the black open circles indicate $v_2${6}, and the green filled diamonds indicate $v_2${8}.

Multi-particle $v_2$ as a function of centrality in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. The magenta open diamonds indicate the $v_2${SP }, the blue open squares indicate $v_2${4}, the black open circles indicate $v_2${6}, and the green filled diamonds indicate $v_2${8}.

Cumulant method estimate of $\sigma_{v_{2}}$ / $\langle v_{2} \rangle$ as a function of centrality in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. The data are shown as black open squares. The same calculation as done in data is done in ampt, shown as a solid green line. Calculations of $\sigma_{\epsilon_{2}}$ /$ \langle\epsilon_{2}\rangle$ performed in the Monte Carlo Glauber model are shown as blue lines. The solid blue line is the Monte Carlo Glauber calculation done using the same estimate as the data, the dashed blue line is the direct calculation of the moments of the MC Glauber $\epsilon_{2}$ distribution.

Centrality dependence of $v_3${2, |$\Delta\eta$| > 2} in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV, shown as magenta diamonds. The systematic uncertainty is indicated as a shaded magenta band. Also shown as black squares are $\sqrt{\langle v^{2}_{3}\rangle}$ as determined from the folding analysis, which is shown in the next section.

Centrality dependence of $v_3${2, |$\Delta\eta$| > 2} in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV, shown as magenta diamonds. The systematic uncertainty is indicated as a shaded magenta band. Also shown as black squares are $\sqrt{\langle v^{2}_{3}\rangle}$ as determined from the folding analysis, which is shown in the next section.

Centrality dependence of $c_3${4} for Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. (a) Calculations using both arms: $c_3${4} (black circles), $c_3${4}$_{ab|ab}$ (blue diamonds), $c_3${4}$_{aa|bb}$ (red squares), and comparison to STAR [36] (black stars). (b) Comparison of $c_3${4} determined using both arms (open symbols) and a single arm (closed symbols). Note that the open black circles are the same in (a) and (b).

Centrality dependence of $c_3${4} for Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. (a) Calculations using both arms: $c_3${4} (black circles), $c_3${4}$_{ab|ab}$ (blue diamonds), $c_3${4}$_{aa|bb}$ (red squares), and comparison to STAR [36] (black stars). (b) Comparison of $c_3${4} determined using both arms (open symbols) and a single arm (closed symbols). Note that the open black circles are the same in (a) and (b).

Centrality dependence of $c_3${4} for Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. (a) Calculations using both arms: $c_3${4} (black circles), $c_3${4}$_{ab|ab}$ (blue diamonds), $c_3${4}$_{aa|bb}$ (red squares), and comparison to STAR [36] (black stars). (b) Comparison of $c_3${4} determined using both arms (open symbols) and a single arm (closed symbols). Note that the open black circles are the same in (a) and (b).

Folding results for (a) $v_2$, (b) $\sigma_{v_{2}}$ , and (c) $\sigma_{v_{2}}$ / $\langle v_{2}\rangle$. The black lines above and below the points indicate the systematic uncertainties. The red (green) boxes indicate the statistical uncertainties at the 68.27% (95.45%) confidence level. In the case of $\langle v_{2}\rangle$, the statistical uncertainties at the 68.27% confidence level are too small to be seen, and the uncertainties at the 95.45% confidence level are visible but noticeably smaller than the marker size. Shown as blue squares are the same quantities as determined using the cumulant based calculation—these points are slightly offset in the x-coordinate to improve visibility.

Folding results for (a) $v_2$, (b) $\sigma_{v_{2}}$ , and (c) $\sigma_{v_{2}}$ / $\langle v_{2}\rangle$. The black lines above and below the points indicate the systematic uncertainties. The red (green) boxes indicate the statistical uncertainties at the 68.27% (95.45%) confidence level. In the case of $\langle v_{2}\rangle$, the statistical uncertainties at the 68.27% confidence level are too small to be seen, and the uncertainties at the 95.45% confidence level are visible but noticeably smaller than the marker size. Shown as blue squares are the same quantities as determined using the cumulant based calculation—these points are slightly offset in the x-coordinate to improve visibility.

Folding results for (a) $v_2$, (b) $\sigma_{v_{2}}$ , and (c) $\sigma_{v_{2}}$ / $\langle v_{2}\rangle$. The black lines above and below the points indicate the systematic uncertainties. The red (green) boxes indicate the statistical uncertainties at the 68.27% (95.45%) confidence level. In the case of $\langle v_{2}\rangle$, the statistical uncertainties at the 68.27% confidence level are too small to be seen, and the uncertainties at the 95.45% confidence level are visible but noticeably smaller than the marker size. Shown as blue squares are the same quantities as determined using the cumulant based calculation—these points are slightly offset in the x-coordinate to improve visibility.

Folding results for (a) $\langle v_{3}\rangle$, (b) $\sigma_{v_{3}}$ , and (c) $\sigma_{v_{3}}$ /$\langle v_{3}\rangle$. The black lines above and below the points indicate the systematic uncertainties. The red (green) boxes indicate the statistical uncertainties at the 68.27% (95.45%) confidence level. The $\sigma_{v_{3}}$ /$\langle v_{3}\rangle$ values are all ≈ 0.52, the apparent limiting value of this quantity for the Bessel-Gaussian distribution.

Folding results for (a) $\langle v_{3}\rangle$, (b) $\sigma_{v_{3}}$ , and (c) $\sigma_{v_{3}}$ /$\langle v_{3}\rangle$. The black lines above and below the points indicate the systematic uncertainties. The red (green) boxes indicate the statistical uncertainties at the 68.27% (95.45%) confidence level. The $\sigma_{v_{3}}$ /$\langle v_{3}\rangle$ values are all ≈ 0.52, the apparent limiting value of this quantity for the Bessel-Gaussian distribution.

Folding results for (a) $\langle v_{3}\rangle$, (b) $\sigma_{v_{3}}$ , and (c) $\sigma_{v_{3}}$ /$\langle v_{3}\rangle$. The black lines above and below the points indicate the systematic uncertainties. The red (green) boxes indicate the statistical uncertainties at the 68.27% (95.45%) confidence level. The $\sigma_{v_{3}}$ /$\langle v_{3}\rangle$ values are all ≈ 0.52, the apparent limiting value of this quantity for the Bessel-Gaussian distribution.

The minimum $\chi^2$ and the parameters $T_{fo}$ and $\beta^{max}_T$ for each of the five centrality selections. The best fit parameters are determined by averaging all parameter pairs within the 1$\sigma$ contour. The errors correspond to the standard deviation of the parameter pairs within the 1$\sigma$ $\chi^2$ contour.

Fit parameters for each particle species using Equations $\frac{dN}{dy}$ = $C \cdot$ ($N_{part}$)$^{\alpha_{part}}$ and $\frac{dN}{dy}$ = $C^{\prime} \cdot$ ($N_{coll}$)$^{\alpha_{coll}}$.

Values of the parameters $n_{pp}$ and $x$ from fitting Equation $R \equiv \frac{dN/dy}{N_{part}}$ = (1-$x$) $\cdot n_{pp} \frac{1}{2}$ + $x \cdot n_{pp} \frac{N_{coll}}{N_{part}}$ = $n_{pp}$ [$\frac{1}{2}$ + $x$($\frac{N_{coll}}{N_{part}}$ - $\frac{1}{2})$]to the observed $dN$/$dy$ per $N_{part}$.

Invariant yields for $\pi^{\pm}$ measured in minimum-bias events at midrapidity and normalized to one rapidity unit.

Invariant yields for $K^{\pm}$ measured in minimum-bias events at midrapidity and normalized to one rapidity unit.

Invariant yields for (anti)$p$ measured in minimum-bias events at midrapidity and normalized to one rapidity unit.

Pion invariant yields in each event centrality and $p_T$ bin measured at midrapidity, normalized to one rapidity unit.

Pion invariant yields in each event centrality and $p_T$ bin measured at midrapidity, normalized to one rapidity unit.

Kaon invariant yields in each event centrality and $p_T$ bin measured at midrapidity, normalized to one rapidity unit.

Kaon invariant yields in each event centrality and $p_T$ bin measured at midrapidity, normalized to one rapidity unit.

(Anti)proton invariant yields in each event centrality and $p_T$ bin measured at midrapidity, normalized to one rapidity unit.

(Anti)proton invariant yields in each event centrality and $p_T$ bin measured at midrapidity, normalized to one rapidity unit.

(Anti)proton invariant yields in each event centrality and $p_T$ bin measured at midrapidity, normalized to one rapidity unit.

(Anti)proton invariant yields in each event centrality and $p_T$ bin measured at midrapidity, normalized to one rapidity unit.

(Anti)proton invariant yields in each event centrality and $p_T$ bin measured at midrapidity, normalized to one rapidity unit.

(Anti)proton invariant yields in each event centrality and $p_T$ bin measured at midrapidity, normalized to one rapidity unit.

(Anti)proton invariant yields in each event centrality and $p_T$ bin measured at midrapidity, normalized to one rapidity unit.

Minimum-bias invariant yields for $\pi^{\pm}$ in equal $p_T$ bins.

Minimum-bias invariant yields for $K^{\pm}$ in equal $p_T$ bins.

Minimum-bias invariant yields for (anti)$p$ in equal $p_T$ bins.

Pion invariant yields in each event centrality normalized to one rapidity unit at midrapidity.

Pion invariant yields in each event centrality normalized to one rapidity unit at midrapidity.

Kaon invariant yields in each event centrality normalized to one rapidity unit at midrapidity.

(Anti)proton invariant yields in each event centrality normalized to one rapidity unit at midrapidity.

(Anti)proton invariant yields in each event centrality normalized to one rapidity unit at midrapidity.

The integrated mean $p_T$ for pions, kaons, and (anti)protons produced in the five different classes of event centrality.

The expansion parameters $T_{fo}$ and $\beta^{max}_T$ as a function of the number of participants.

The second-order Fourier coefficients $v_2 (p_T)$ for charge-combined identified hadrons $\pi^{\pm}$, $K^{\pm}$, $ p$, and $\bar{p}$ measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV for the centrality classes marked in each panel.

The second-order Fourier coefficients $v_2 (p_T)$ for charge-combined identified hadrons $\pi^{\pm}$, $K^{\pm}$, $ p$, and $\bar{p}$ measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV for the centrality classes marked in each panel.

The second-order Fourier coefficients $v_2 (p_T)$ for charge-combined identified hadrons $\pi^{\pm}$, $K^{\pm}$, $ p$, and $\bar{p}$ measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV for the centrality classes marked in each panel.

The second-order Fourier coefficients $v_2 (p_T)$ for charge-combined identified hadrons $\pi^{\pm}$, $K^{\pm}$, $ p$, and $\bar{p}$ measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV for the centrality classes marked in each panel.

The second-order Fourier coefficients $v_2 (p_T)$ for charge-combined identified hadrons $\pi^{\pm}$, $K^{\pm}$, $ p$, and $\bar{p}$ measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV for the centrality classes marked in each panel.

The third-order Fourier coefficients $v_3(p_T)$ for charge-combined identified hadrons $\pi^{\pm}$, $K^{\pm}$, $p$, and $\bar{p}$ measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV for 0%-30% centrality.

The third-order Fourier coefficients $v_3(p_T)$ for charge-combined identified hadrons $\pi^{\pm}$, $K^{\pm}$, $p$, and $\bar{p}$ measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV for 0%-30% centrality.

The third-order Fourier coefficients $v_3(p_T)$ for charge-combined identified hadrons $\pi^{\pm}$, $K^{\pm}$, $p$, and $\bar{p}$ measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV for 0%-30% centrality.

The first-order Fourier coefficients $v_1(p_T)$ for charge-combined $\pi^{\pm}$, $K^{\pm}$, $ p$, and $\bar{p}$ identified hadrons measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV for 10%-50% centrality.

The first-order Fourier coefficients $v_1(p_T)$ for charge-combined $\pi^{\pm}$, $K^{\pm}$, $ p$, and $\bar{p}$ identified hadrons measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV for 10%-50% centrality.

Scaled second-order Fourier coefficients $v_2(p_T)/\epsilon_2$ for charged hadrons measured at midrapidity in Cu + Cu collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled second-order Fourier coefficients $v_2(p_T)/\epsilon_2$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled second-order Fourier coefficients $v_2(p_T)/\epsilon_2$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled second-order Fourier coefficients $v_2(p_T)/\epsilon_2$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled second-order Fourier coefficients $v_2(p_T)/\epsilon_2$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled second-order Fourier coefficients $v_2(p_T)/\epsilon_2$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled second-order Fourier coefficients $v_2(p_T)/\epsilon_2$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled second-order Fourier coefficients $v_2(p_T)/\epsilon_2$ for charged hadrons measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled second-order Fourier coefficients $v_2(p_T)/(\epsilon_2 N^{1/3}_{part})$ for charged hadrons measured at midrapidity in Cu + Cu collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled second-order Fourier coefficients $v_2(p_T)/(\epsilon_2 N^{1/3}_{part})$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled second-order Fourier coefficients $v_2(p_T)/(\epsilon_2 N^{1/3}_{part})$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled second-order Fourier coefficients $v_2(p_T)/(\epsilon_2 N^{1/3}_{part})$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled second-order Fourier coefficients $v_2(p_T)/(\epsilon_2 N^{1/3}_{part})$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled second-order Fourier coefficients $v_2(p_T)/(\epsilon_2 N^{1/3}_{part})$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled second-order Fourier coefficients $v_2(p_T)/(\epsilon_2 N^{1/3}_{part})$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled second-order Fourier coefficients $v_2(p_T)/(\epsilon_2 N^{1/3}_{part})$ for charged hadrons measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled third-order Fourier coefficients $v_3(p_T)/\epsilon_3$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled third-order Fourier coefficients $v_3(p_T)/\epsilon_3$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled third-order Fourier coefficients $v_3(p_T)/\epsilon_3$ for charged hadrons measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled third-order Fourier coefficients $\frac{v_3}{($_3 N_{part}^{1/3})}$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled third-order Fourier coefficients $\frac{v_3}{(e_3 N_{part}^{1/3})}$ for charged hadrons measured at midrapidity in Au + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

Scaled third-order Fourier coefficients $\frac{v_3}{(e_3 N_{part}^{1/3})}$ for charged hadrons measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV.

The second-order Fourier coefficients $v_2$($p_T$ ) for charged hadrons measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV in comparison with hydrodynamics calculations for the centrality classes marked in each panel.

The third-order Fourier coefficients $v_3(p_T)$ for charged hadrons measured at midrapidity in Cu + Au collisions at $\sqrt{S_{NN}}$ = 200 GeV in comparison with hydrodynamics calculations for the centrality classes marked in each panel.

The ratio of $\psi(2S)$ to $J/\psi(1S)$ cross sections, as measured in the dimuon decay channel in pp collisions at 200 GeV over the rapidity interval $1.2<|y|<2.2$, as a function of transverse momentum $p_{T}$.

The double ratios $[\sigma_{\psi(2S)}/\sigma_{\psi(1S)}]_{pA}/[\sigma_{\psi(2S)}/\sigma_{\psi(1S)}]_{pp}$. The global systematic uncertainty is $\pm 14\%$.

The charged-particle multiplicity $dN_{ch}/d\eta$ determined from AMPT simulations and the nuclear overlap $S_T$ from Glauber simulations for the data shown in Fig. 5. Here we assume $dN/d\eta$ = $\frac{3}{2}dN_{ch}/d\eta$.

The charged-particle multiplicity $dN_{ch}/d\eta$ determined from AMPT simulations and the nuclear overlap $S_T$ from Glauber simulations for the data shown in Fig. 5. Here we assume $dN/d\eta$ = $\frac{3}{2}dN_{ch}/d\eta$.

The charged-particle multiplicity $dN_{ch}/d\eta$ determined from AMPT simulations and the nuclear overlap $S_T$ from Glauber simulations for the data shown in Fig. 5. Here we assume $dN/d\eta$ = $\frac{3}{2}dN_{ch}/d\eta$.

Data table for $\sigma_{\psi(2S)}/\sigma_{\psi(1S)}$ ratios, measured in the dimuon decay channel. Here "fwd" refers to the forward rapidity interval $1.2<y<2.2$, "bwd" refers to the backward rapidity interval $-2.2<y<-1.2$, and "comb" refers to the rapidity interval $1.2<|y|<2.2$.

Efficiency corrected cumulants of net-charge distributions as a function of $\langle N_{part} \rangle$ from Au+Au collisions at different collision energies.

$\langle N_{part} \rangle$ dependence of efficiency corrected $\mu / \sigma^2$ of net-charge distributions for Au+Au collisions at different collision energies.

$\langle N_{part} \rangle$ dependence of efficiency corrected $S \sigma$ of net-charge distributions for Au+Au collisions at different collision energies.

$\langle N_{part} \rangle$ dependence of efficiency corrected $\kappa \sigma^2$ of net-charge distributions for Au+Au collisions at different collision energies.

$\langle N_{part} \rangle$ dependence of efficiency corrected $S \sigma^3 / \mu$ of net-charge distributions for Au+Au collisions at different collision energies.

The energy dependence of efficiency corrected $\mu / \sigma^2$, $S \sigma$, $\kappa \sigma^2$, and $S \sigma^3 / \mu$ of netcharge distributions for central (0%–5%) Au+Au collisions.

The energy dependence of the chemical freeze-out parameter $\mu_B$.

$z_{g}$ for Matched Trigger jets in pp$+$AuAu Data anti-kT R$=$0.4

$z_{g}$ for HardCore Recoil jets in AuAu Data anti-kT R$=$0.4

$z_{g}$ for HardCore Recoil jets in pp$+$AuAu Data anti-kT R$=$0.4

$z_{g}$ for Matched Recoil jets in AuAu Data anti-kT R$=$0.4

$z_{g}$ for Matched Recoil jets in pp$+$AuAu Data anti-kT R$=$0.4

$R_{g}$ for HardCore Trigger jets in AuAu Data anti-kT R$=$0.4

$R_{g}$ for HardCore Trigger jets in pp$+$AuAu Data anti-kT R$=$0.4

$R_{g}$ for Matched Trigger jets in AuAu Data anti-kT R$=$0.4

$R_{g}$ for Matched Trigger jets in pp$+$AuAu Data anti-kT R$=$0.4

$R_{g}$ for HardCore Recoil jets in AuAu Data anti-kT R$=$0.4

$R_{g}$ for HardCore Recoil jets in pp$+$AuAu Data anti-kT R$=$0.4

$R_{g}$ for Matched Recoil jets in AuAu Data anti-kT R$=$0.4

$R_{g}$ for Matched Recoil jets in pp$+$AuAu Data anti-kT R$=$0.4

Fully corrected two subjet $z_{sj}$ for $15 < p_{\rm{T, jet}} < 20$ GeV/c, R$=$0.4 anti-kT and R$=$0.1 subjets

Fully corrected two subjet $z_{sj}$ for $20 < p_{\rm{T, jet}} < 25$ GeV/c, R$=$0.4 anti-kT and R$=$0.1 subjets

Fully corrected two subjet $z_{sj}$ for $25 < p_{\rm{T, jet}} < 30$ GeV/c, R$=$0.4 anti-kT and R$=$0.1 subjets

Fully corrected two subjet $z_{sj}$ for $30 < p_{\rm{T, jet}} < 40$ GeV/c, R$=$0.4 anti-kT and R$=$0.1 subjets

Fully corrected two subjet $\theta_{sj}$ for $15 < p_{\rm{T, jet}} < 20$ GeV/c, R$=$0.4 anti-kT and R$=$0.1 subjets

Fully corrected two subjet $\theta_{sj}$ for $20 < p_{\rm{T, jet}} < 25$ GeV/c, R$=$0.4 anti-kT and R$=$0.1 subjets

Fully corrected two subjet $\theta_{sj}$ for $25 < p_{\rm{T, jet}} < 30$ GeV/c, R$=$0.4 anti-kT and R$=$0.1 subjets

Fully corrected two subjet $\theta_{sj}$ for $30 < p_{\rm{T, jet}} < 40$ GeV/c, R$=$0.4 anti-kT and R$=$0.1 subjets

$z_{sj}$ for HardCore Trigger jets in AuAu Data anti-kT R$=$0.4

$z_{sj}$ for HardCore Trigger jets in pp$+$AuAu Data anti-kT R$=$0.4

$z_{sj}$ for Matched Trigger jets in AuAu Data anti-kT R$=$0.4

$z_{sj}$ for Matched Trigger jets in pp$+$AuAu Data anti-kT R$=$0.4

$z_{sj}$ for HardCore Recoil jets in AuAu Data anti-kT R$=$0.4

$z_{sj}$ for HardCore Recoil jets in pp$+$AuAu Data anti-kT R$=$0.4

$z_{sj}$ for Matched Recoil jets in AuAu Data anti-kT R$=$0.4

$z_{sj}$ for Matched Recoil jets in pp$+$AuAu Data anti-kT R$=$0.4

$\theta_{sj}$ for HardCore Trigger jets in AuAu Data anti-kT R$=$0.4

$\theta_{sj}$ for HardCore Trigger jets in pp$+$AuAu Data anti-kT R$=$0.4

$\theta_{sj}$ for Matched Trigger jets in AuAu Data anti-kT R$=$0.4

$\theta_{sj}$ for Matched Trigger jets in pp$+$AuAu Data anti-kT R$=$0.4

$\theta_{sj}$ for HardCore Recoil jets in AuAu Data anti-kT R$=$0.4

$\theta_{sj}$ for HardCore Recoil jets in pp$+$AuAu Data anti-kT R$=$0.4

$\theta_{sj}$ for Matched Recoil jets in AuAu Data anti-kT R$=$0.4

$\theta_{sj}$ for Matched Recoil jets in pp$+$AuAu Data anti-kT R$=$0.4

$A_{J}$ for HardCore R=0.4 anti-kT jets with $\theta_{sj} > 0.1$ in Au$+$Au collisions

$A_{J}$ for HardCore R=0.4 anti-kT jets with $\theta_{sj} > 0.1$ in pp$+$AuAu reference

$A_{J}$ for HardCore R=0.4 anti-kT jets with $0.1 < \theta_{sj} < 0.2$ in Au$+$Au collisions

$A_{J}$ for HardCore R=0.4 anti-kT jets with $0.1 < \theta_{sj} < 0.2$ in pp$+$AuAu reference

$A_{J}$ for HardCore R=0.4 anti-kT jets with $0.2 < \theta_{sj} < 0.3$ in Au$+$Au collisions

$A_{J}$ for HardCore R=0.4 anti-kT jets with $0.2 < \theta_{sj} < 0.3$ in pp$+$AuAu reference

$A_{J}$ for Matched R=0.4 anti-kT jets with $\theta_{sj} > 0.1$ in Au$+$Au collisions

$A_{J}$ for Matched R=0.4 anti-kT jets with $\theta_{sj} > 0.1$ in pp$+$AuAu reference

$A_{J}$ for Matched R=0.4 anti-kT jets with $0.1 < \theta_{sj} < 0.2$ in Au$+$Au collisions

$A_{J}$ for Matched R=0.4 anti-kT jets with $0.1 < \theta_{sj} < 0.2$ in pp$+$AuAu reference

$A_{J}$ for Matched R=0.4 anti-kT jets with $0.2 < \theta_{sj} < 0.3$ in Au$+$Au collisions

$A_{J}$ for Matched R=0.4 anti-kT jets with $0.2 < \theta_{sj} < 0.3$ in pp$+$AuAu reference

tracking efficiency in pp collisions as a function of track momentum

tracking efficiency in AuAu collisions as a function of track momentum