Bin-to-bin correlation in the measured cross section for Z+jets as a function of inclusive jet multiplicity, $N_{\text{jets}}^{\text{min}}$.

Measured cross section for Z+jets as a function of the transverse momementum of the Z boson, $p_{\text{T}}(\text{Z})$, for events with at least one jet and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the transverse momementum of the Z boson, $p_{\text{T}}(\text{Z})$, for events with at least one jet.

Measured cross section for Z+jets as a function of the transverse momenum of the first jet, $p_{\text{T}}(\text{j}_1)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the transverse momenum of the first jet, $p_{\text{T}}(\text{j}_1)$.

Measured cross section for Z+jets as a function of the transverse momenum of the second jet, $p_{\text{T}}(\text{j}_2)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the transverse momenum of the second jet, $p_{\text{T}}(\text{j}_2)$.

Measured cross section for Z+jets as a function of the transverse momenum of the third jet, $p_{\text{T}}(\text{j}_3)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the transverse momenum of the third jet, $p_{\text{T}}(\text{j}_3)$.

Measured cross section for Z+jets as a function of the absolute rapidity of the first jet, $|y(\text{j}_1)|$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the absolute rapidity of the first jet, $|y(\text{j}_1)|$.

Measured cross section for Z+jets as a function of the absolute rapidity of the second jet, $|y(\text{j}_2)|$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the absolute rapidity of the second jet, $|y(\text{j}_2)|$.

Measured cross section for Z+jets as a function of the absolute rapidity of the third jet, $|y(\text{j}_3)|$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the absolute rapidity of the third jet, $|y(\text{j}_3)|$.

Measured cross section for Z+jets as a function of the $H_{\text{T}}$ observable for event with at least one jet and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the $H_{\text{T}}$ observable for event with at least one jet.

Measured cross section for Z+jets as a function of the $H_{\text{T}}$ observable for event with at least two jets and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the $H_{\text{T}}$ observable for event with at least two jets.

Measured cross section for Z+jets as a function of the $H_{\text{T}}$ observable for event with at least three jets and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the $H_{\text{T}}$ observable for event with at least three jets.

Measured cross section for Z+jets as a function of the transverse momentum balance between the Z boson and the accompanying jets, $p_{\text{T}}^{\text{bal}}$, for events with at least one jet and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the transverse momentum balance between the Z boson and the accompanying jets, $p_{\text{T}}^{\text{bal}}$, for events with at least one jet.

Measured cross section for Z+jets as a function of the transverse momentum balance between the Z boson and the accompanying jets, $p_{\text{T}}^{\text{bal}}$, for events with at least two jets and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the transverse momentum balance between the Z boson and the accompanying jets, $p_{\text{T}}^{\text{bal}}$, for events with at least two jets.

Measured cross section for Z+jets as a function of the transverse momentum balance between the Z boson and the accompanying jets, $p_{\text{T}}^{\text{bal}}$, for events with at least three jets and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the transverse momentum balance between the Z boson and the accompanying jets, $p_{\text{T}}^{\text{bal}}$, for events with at least three jets.

Measured cross section for Z+jets as a function of the JZB variable with no restriction on $p_{\text{T}}(\text{Z})$ and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the JZB variable with no restriction on $p_{\text{T}}(\text{Z})$.

Measured cross section for Z+jets as a function of the JZB variable for $p_{\text{T}}(\text{Z})\leq50\,$GeV) and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the JZB variable for $p_{\text{T}}(\text{Z})\leq50\,$GeV).

Measured cross section for Z+jets as a function of the JZB variable for $p_{\text{T}}(\text{Z})>50\,$GeV and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the JZB variable for $p_{\text{T}}(\text{Z})>50\,$GeV.

Expected 95% CL limit on cross section times acceptance times branching ratio for each width and mass of Gaussian signal shape tested, in the region defined by |y*|<0.3.

Observed 95% CL limit on cross section times acceptance times branching ratio for each width and mass of Gaussian signal shape tested, in the region defined by |y*|<0.6.

Expected 95% CL limit on cross section times acceptance times branching ratio for each width and mass of Gaussian signal shape tested, in the region defined by |y*|<0.6.

The $m_{\mathrm{eff}}$ distribution for events passing the signal region requirements except the $m_{\mathrm{eff}}$ requirement in SR2. Distributions for data, the estimated SM backgrounds, and an example SUSY scenario are shown. "Other" is the sum of the $tWZ$, $t\bar{t}WW$, and $t\bar{t}t\bar{t}$ backgrounds. The last bin captures the overflow events. Both the statistical and systematic uncertainties in the SM background are included in the shaded band. The red arrows indicate the $m_{\mathrm{eff}}$ selections in the signal region.

Expected 95% CL exclusion limits on wino $W/Z$ NLSP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{12k} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Observed 95% CL exclusion limits on wino $W/Z$ NLSP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{12k} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Expected 95% CL exclusion limits on wino $W/Z$ NLSP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{i33} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Observed 95% CL exclusion limits on wino $W/Z$ NLSP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{i33} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Expected 95% CL exclusion limits on wino $W/h$ NLSP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{12k} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Observed 95% CL exclusion limits on wino $W/h$ NLSP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{12k} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Expected 95% CL exclusion limits on wino $W/h$ NLSP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{i33} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Observed 95% CL exclusion limits on wino $W/h$ NLSP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{i33} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Expected 95% CL exclusion limits on $\tilde{\ell}/\tilde{\nu}$ NLSP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{12k} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Observed 95% CL exclusion limits on $\tilde{\ell}/\tilde{\nu}$ NLSP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{12k} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Expected 95% CL exclusion limits on $\tilde{\ell}/\tilde{\nu}$ NLSP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{i33} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Observed 95% CL exclusion limits on $\tilde{\ell}/\tilde{\nu}$ NLSP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{i33} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Expected 95% CL exclusion limits on gluino NSLP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{12k} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Observed 95% CL exclusion limits on gluino NSLP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{12k} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Expected 95% CL exclusion limits on gluino NSLP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{i33} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Observed 95% CL exclusion limits on gluino NSLP pair production with RPV $\tilde{\chi}_1^0$ decays via $\lambda_{i33} \neq 0$ where $i,k \in{1,2}$. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Expected 95% CL exclusion limits on the higgsino GGM models. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Observed 95% CL exclusion limits on the higgsino GGM models. The limits are set using the statistical combination of disjoint signal regions. Where the signal regions are not mutually exclusive, the observed $\mathrm{CL}_s$ value is taken from the signal region with the better expected $\mathrm{CL}_s$ value.

Observed exclusion limits on the $\tilde{\chi}_1^{\pm}/\tilde{\chi}_2^0$ masses in the context of the wino $W/Z$ RPV scenario with $\lambda_{12k} \neq 0$ couplings. The signal region used to obtain the limits is SR0A. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the $\tilde{\chi}_1^{\pm}/\tilde{\chi}_2^0$ masses in the context of the wino $W/Z$ RPV scenario with $\lambda_{i33} \neq 0$ couplings. The signal region used to obtain the limits is the combination of SR0A, SR1 and SR2. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the $\tilde{\chi}_1^{\pm}/\tilde{\chi}_2^0$ masses in the context of the wino $W/Z$ RPV scenario with $\lambda_{12k} \neq 0$ couplings. The signal region used to obtain the limits is SR0B. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the $\tilde{\chi}_1^{\pm}/\tilde{\chi}_2^0$ masses in the context of the wino $W/Z$ RPV scenario with $\lambda_{i33} \neq 0$ couplings. The signal region used to obtain the limits is the combination of SR0B, SR1 and SR2. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the $\tilde{\chi}_1^{\pm}/\tilde{\chi}_2^0$ masses in the context of the wino $W/h$ RPV scenario with $\lambda_{12k} \neq 0$ couplings. The signal region used to obtain the limits is SR0A. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the $\tilde{\chi}_1^{\pm}/\tilde{\chi}_2^0$ masses in the context of the wino $W/h$ RPV scenario with $\lambda_{i33} \neq 0$ couplings. The signal region used to obtain the limits is the combination of SR0A, SR1 and SR2. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the $\tilde{\chi}_1^{\pm}/\tilde{\chi}_2^0$ masses in the context of the wino $W/h$ RPV scenario with $\lambda_{12k} \neq 0$ couplings. The signal region used to obtain the limits is SR0B. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the $\tilde{\chi}_1^{\pm}/\tilde{\chi}_2^0$ masses in the context of the wino $W/h$ RPV scenario with $\lambda_{i33} \neq 0$ couplings. The signal region used to obtain the limits is the combination of SR0B, SR1 and SR2. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the slepton/sneutrino masses in the context of the slepton/sneutrino RPV scenario with $\lambda_{12k} \neq 0$ couplings. The signal region used to obtain the limits is SR0A. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the slepton/sneutrino masses in the context of the slepton/sneutrino RPV scenario with $\lambda_{i33} \neq 0$ couplings. The signal region used to obtain the limits is the combination of SR0A, SR1 and SR2. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the slepton/sneutrino masses in the context of the slepton/sneutrino RPV scenario with $\lambda_{12k} \neq 0$ couplings. The signal region used to obtain the limits is SR0B. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the slepton/sneutrino masses in the context of the slepton/sneutrino RPV scenario with $\lambda_{i33} \neq 0$ couplings. The signal region used to obtain the limits is the combination of SR0B, SR1 and SR2. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the gluino masses in the context of the gluino RPV scenario with $\lambda_{12k} \neq 0$ couplings. The signal region used to obtain the limits is SR0A. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the gluino masses in the context of the gluino RPV scenario with $\lambda_{i33} \neq 0$ couplings. The signal region used to obtain the limits is the combination of SR0A, SR1 and SR2. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the gluino masses in the context of the gluino RPV scenario with $\lambda_{12k} \neq 0$ couplings. The signal region used to obtain the limits is SR0B. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the gluino masses in the context of the gluino RPV scenario with $\lambda_{i33} \neq 0$ couplings. The signal region used to obtain the limits is the combination of SR0B, SR1 and SR2. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the $\tilde{\chi}_1^{\pm}\tilde{\chi}_2^{0}\tilde{\chi}_1^{0}$ masses in the context of the higgsino GGM scenario in SR0C. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

Observed exclusion limits on the $\tilde{\chi}_1^{\pm}\tilde{\chi}_2^{0}\tilde{\chi}_1^{0}$ masses in the context of the higgsino GGM scenario in SR0D. All limits are computed at 95% CL. The grey numbers represent the 95% CL upper limits on the production cross-section (in fb) obtained using the signal efficiency and acceptance specific to this model.

The best expected exclusion power between signal regions at each signal point as is adopted in the limit calculation of the wino $W/Z$ model for $\lambda_{12k} \neq 0$ RPV couplings. For the $\lambda_{12k} \neq 0$ case, the results from SR0B are adopted everywhere in the final exclusion limit contours, as is found to be the most powerful signal region among SR0A and SR0B in the majority of the signal grid points of this model.

The best expected exclusion power between signal regions at each signal point as is adopted in the limit calculation of the wino $W/Z$ model for $\lambda_{i33} \neq 0$ RPV couplings. A combination of SR0A + SR1 + SR2 or SR0B + SR1 + SR2 is tested to detect the best expected limit; shown on the plot is the region (SR0A or SR0B) which is chosen to provide the best expected limit in combination with SR1 and SR2. The results from the combination SR0B + SR1 + SR2 are finally adopted everywhere in the final exclusion limit contour since they provide the best expected limit.

The best expected exclusion power between signal regions at each signal point as is adopted in the limit calculation of the wino $W/h$ model for $\lambda_{12k} \neq 0$ RPV couplings. For the $\lambda_{12k} \neq 0$ case, the results from SR0B are adopted everywhere in the final exclusion limit contours, as is found to be the most powerful signal region among SR0A and SR0B in the majority of the signal grid points of this model.

The best expected exclusion power between signal regions at each signal point as is adopted in the limit calculation of the wino $W/h$ model for $\lambda_{i33} \neq 0$ RPV couplings. A combination of SR0A + SR1 + SR2 or SR0B + SR1 + SR2 is tested to detect the best expected limit; shown on the plot is the region (SR0A or SR0B) which is chosen to provide the best expected limit in combination with SR1 and SR2. The results from the combination SR0B + SR1 + SR2 are finally adopted everywhere in the final exclusion limit contour since they provide the best expected limit.

The best expected exclusion power between signal regions at each signal point as is adopted in the limit calculation of the slepton/sneutrino model for $\lambda_{12k} \neq 0$ RPV couplings.

The best expected exclusion power between signal regions at each signal point as is adopted in the limit calculation of the slepton/sneutrino model for $\lambda_{i33} \neq 0$ RPV couplings. A combination of SR0A + SR1 + SR2 or SR0B + SR1 + SR2 is tested to detect the best expected limit; shown on the plot is the region (SR0A or SR0B) which is chosen to provide the best expected limit in combination with SR1 and SR2.

The best expected exclusion power between signal regions at each signal point as is adopted in the limit calculation of the gluino model for $\lambda_{12k} \neq 0$ RPV couplings.

The best expected exclusion power between signal regions at each signal point as is adopted in the limit calculation of the gluino model for $\lambda_{i33} \neq 0$ RPV couplings. A combination of SR0A + SR1 + SR2 or SR0B + SR1 + SR2 is tested to detect the best expected limit; shown on the plot is the region (SR0A or SR0B) which is chosen to provide the best expected limit in combination with SR1 and SR2.

The best expected exclusion power between the overlapping SR0C and SR0D at each signal point as is adopted in the limit combination of the GGM higgsino model.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the Wino $\tilde{\chi}_1^{+}\tilde{\chi}_1^{-}$ $\lambda_{12k} \neq 0$ model fulfilling the selection criteria of SR0A. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the Wino $\tilde{\chi}_1^{\pm}\tilde{\chi}_2^{0}$ $W/Z$ $\lambda_{12k} \neq 0$ model fulfilling the selection criteria of SR0A. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the Wino $\tilde{\chi}_1^{\pm}\tilde{\chi}_2^{0}$ $W/h$ $\lambda_{12k} \neq 0$ model fulfilling the selection criteria of SR0A. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the slepton/sneutrino $\lambda_{12k} \neq 0$ model fulfilling the selection criteria of SR0A. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the gluino $\lambda_{12k} \neq 0$ model fulfilling the selection criteria of SR0A. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the Wino $\tilde{\chi}_1^{+}\tilde{\chi}_1^{-}$ $\lambda_{12k} \neq 0$ model fulfilling the selection criteria of SR0B. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the Wino $\tilde{\chi}_1^{\pm}\tilde{\chi}_2^{0}$ $W/Z$ $\lambda_{12k} \neq 0$ model fulfilling the selection criteria of SR0B. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the Wino $\tilde{\chi}_1^{\pm}\tilde{\chi}_2^{0}$ $W/h$ $\lambda_{12k} \neq 0$ model fulfilling the selection criteria of SR0B. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the slepton/sneutrino $\lambda_{12k} \neq 0$ model fulfilling the selection criteria of SR0B. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the gluino $\lambda_{12k} \neq 0$ model fulfilling the selection criteria of SR0B. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the GGM Higgsino models with BR($\tilde{\chi}_1^0 \rightarrow Z \tilde{G}$)=100% and BR($\tilde{\chi}_1^0 \rightarrow Z \tilde{G}$)=50% fulfilling the selection criteria of SR0C. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the GGM Higgsino models with BR($\tilde{\chi}_1^0 \rightarrow Z \tilde{G}$)=100% and BR($\tilde{\chi}_1^0 \rightarrow Z \tilde{G}$)=50% fulfilling the selection criteria of SR0D. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the Wino $\tilde{\chi}_1^{+}\tilde{\chi}_1^{-}$ $\lambda_{i33} \neq 0$ model fulfilling the selection criteria of SR1. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the Wino $\tilde{\chi}_1^{\pm}\tilde{\chi}_2^{0}$ $W/Z$ $\lambda_{i33} \neq 0$ model fulfilling the selection criteria of SR1. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the Wino $\tilde{\chi}_1^{\pm}\tilde{\chi}_2^{0}$ $W/h$ $\lambda_{i33} \neq 0$ model fulfilling the selection criteria of SR1. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the slepton/sneutrino $\lambda_{i33} \neq 0$ model fulfilling the selection criteria of SR1. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the gluino $\lambda_{i33} \neq 0$ model fulfilling the selection criteria of SR1. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the Wino $\tilde{\chi}_1^{+}\tilde{\chi}_1^{-}$ $\lambda_{i33} \neq 0$ model fulfilling the selection criteria of SR2. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the Wino $\tilde{\chi}_1^{\pm}\tilde{\chi}_2^{0}$ $W/Z$ $\lambda_{i33} \neq 0$ model fulfilling the selection criteria of SR2. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the Wino $\tilde{\chi}_1^{\pm}\tilde{\chi}_2^{0}$ $W/h$ $\lambda_{i33} \neq 0$ model fulfilling the selection criteria of SR2. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the slepton/sneutrino $\lambda_{i33} \neq 0$ model fulfilling the selection criteria of SR2. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Acceptance ($A$) at particle level and selection efficiency ($\epsilon$) at reconstruction level for the gluino $\lambda_{i33} \neq 0$ model fulfilling the selection criteria of SR2. The implementation of "simple" cut selection at truth level uses the SimpleAnalysis framework and the code can be found in the Resources of the HepData entry for this paper.

Cutflow event yields in regions SR0A and SR0B for RPV models with the $\lambda_{12k} \neq 0$ coupling. All yields correspond to weighted events, so that effects from lepton reconstruction efficiencies, trigger corrections, pileup reweighting, etc., are included. They are normalized to the integrated luminosity of the data sample, $\int L dt = 36.1$ fb$^{-1}$. The "Initial" number indicates the weighted number of events before any selection cut is applied. The last entries show the normalized number of events surviving the selection requirements of SR0A and SR0B.

Cutflow event yields in regions SR0C and SR0D for GGM Higgsino models with BR($\tilde{\chi}_1^0 \rightarrow Z \tilde{G}$)=100% or BR($\tilde{\chi}_1^0 \rightarrow Z \tilde{G}$)=50%, and $\tilde{\chi}_1^{\pm}\tilde{\chi}_2^0\tilde{\chi}_1^0$ mass of 400 GeV. All yields correspond to weighted events, so that effects from lepton reconstruction efficiencies, trigger corrections, pileup reweighting, etc., are included. They are normalized to the integrated luminosity of the data sample, $\int L dt = 36.1$ fb$^{-1}$. The "Initial" number indicates the weighted number of events before any selection cut is applied. The "Generator Filter" step is applied during the MC generation of the simulated events; the BR=100% sample has a generator filter of $\geq 4e/\mu$ leptons with $p_{\mathrm{T}}>4$ GeV and $|\eta|<2.8$, and the BR=50% sample has a generator filter of $\geq 4 e/\mu/\tau_{\mathrm{had-vis}}$ leptons with $p_{\mathrm{T}}(e,\mu)>4$ GeV, $p_{\mathrm{T}}(\tau_{\mathrm{had-vis}}^{\mathrm{visible}})>15$ GeV and $|\eta|<2.8$. The $ZZ$ selection cutflow step refers to the mass window cut for the leading and subleading $Z$ boson candidate between $81.2-101.2$ GeV and $61.2-101.2$ GeV, respectively. The last entries show the efficiency of events surviving the selection requirements defined in SR0C and SR0D.

Cutflow event yields in region SR1 for RPV models with the $\lambda_{i33} \neq 0$ coupling. All yields correspond to weighted events, so that effects from lepton reconstruction efficiencies, trigger corrections, pileup reweighting, etc., are included. They are normalized to the integrated luminosity of the data sample, $\int L dt = 36.1$ fb$^{-1}$. The "Initial" number indicates the weighted number of events before any selection cut is applied. The last entries show the normalized number of events surviving the selection requirements of SR1.

Cutflow event yields in region SR2 for RPV models with the $\lambda_{i33} \neq 0$ coupling. All yields correspond to weighted events, so that effects from lepton reconstruction efficiencies, trigger corrections, pileup reweighting, etc., are included. They are normalized to the integrated luminosity of the data sample, $\int L dt = 36.1$ fb$^{-1}$. The "Initial" number indicates the weighted number of events before any selection cut is applied. The last entries show the normalized number of events surviving the selection requirements of SR2.

Cross sections for the slepton/snuetrino model for different NLSP masses.

$v_4\{2,|\Delta\eta| > 1.\}$ as a function of centrality for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV.

$v_5\{2,|\Delta\eta| > 1.\}$ as a function of centrality for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV.

$v_6\{2,|\Delta\eta| > 1.\}$ as a function of centrality for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV.

$v_2\{2,|\Delta\eta| > 1.\}$ as a function of centrality for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV.

$v_2\{4\}$ as a function of centrality for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV.

$v_3\{2,|\Delta\eta| > 1.\}$ as a function of centrality for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV.

$v_4\{2,|\Delta\eta| > 1.\}$ as a function of centrality for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV.

ratio of $v_2\{2,|\Delta\eta| > 1.\}$ at $\sqrt{s_{\rm NN}} = 5.02$ TeV and 2.76 TeV as a function of centrality.

ratio of $v_2\{4\}$ at $\sqrt{s_{\rm NN}} = 5.02$ TeV and 2.76 TeV as a function of centrality.

ratio of $v_3\{2,|\Delta\eta| > 1.\}$ at $\sqrt{s_{\rm NN}} = 5.02$ TeV and 2.76 TeV as a function of centrality.

ratio of $v_4\{2,|\Delta\eta| > 1.\}$ at $\sqrt{s_{\rm NN}} = 5.02$ TeV and 2.76 TeV as a function of centrality.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_5\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_6\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_5\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_6\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_5\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_6\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_5\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_6\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_5\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_6\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_5\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_6\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_5\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 1.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

ratio of $v_2\{2,|\Delta\eta| > 1.\}$ at $\sqrt{s_{\rm NN}} = 5.02$ and 2.76 TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

ratio of $v_3\{2,|\Delta\eta| > 1.\}$ at $\sqrt{s_{\rm NN}} = 5.02$ and 2.76 TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

ratio of $v_4\{2,|\Delta\eta| > 1.\}$ at $\sqrt{s_{\rm NN}} = 5.02$ and 2.76 TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

ratio of $v_2\{2,|\Delta\eta| > 1.\}$ at $\sqrt{s_{\rm NN}} = 5.02$ and 2.76 TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

ratio of $v_3\{2,|\Delta\eta| > 1.\}$ at $\sqrt{s_{\rm NN}} = 5.02$ and 2.76 TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

ratio of $v_4\{2,|\Delta\eta| > 1.\}$ at $\sqrt{s_{\rm NN}} = 5.02$ and 2.76 TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

ratio of $v_2\{2,|\Delta\eta| > 1.\}$ at $\sqrt{s_{\rm NN}} = 5.02$ and 2.76 TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

ratio of $v_3\{2,|\Delta\eta| > 1.\}$ at $\sqrt{s_{\rm NN}} = 5.02$ and 2.76 TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

ratio of $v_4\{2,|\Delta\eta| > 1.\}$ at $\sqrt{s_{\rm NN}} = 5.02$ and 2.76 TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_2\{2,|\Delta\eta| > 2.\}_{\text{ratio to 20-30}\%}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_3\{2,|\Delta\eta| > 2.\}^{4/3}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_3\{2,|\Delta\eta| > 2.\}^{4/3}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_3\{2,|\Delta\eta| > 2.\}^{4/3}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_3\{2,|\Delta\eta| > 2.\}^{4/3}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_3\{2,|\Delta\eta| > 2.\}^{4/3}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_3\{2,|\Delta\eta| > 2.\}^{4/3}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_3\{2,|\Delta\eta| > 2.\}^{4/3}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_3\{2,|\Delta\eta| > 2.\}^{4/3}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{4/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{4/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{4/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{4/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{4/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{4/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{4/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_4\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{4/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{3/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 0-5$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{3/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 5-10$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{3/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 10-20$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{3/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 20-30$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{3/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 30-40$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{3/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 40-50$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{3/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 50-60$\%$ as a function of $p_\text{T}$.

$v_3\{2,|\Delta\eta| > 2.\}/v_2\{2,|\Delta\eta| > 2.\}^{3/2}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 60-70$\%$ as a function of $p_\text{T}$.

$v_2\{2\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

$v_2\{6\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

$v_2\{8\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

$v_2\{2\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV as a function of centrality.

$v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV as a function of centrality.

$v_2\{6\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV as a function of centrality.

$v_2\{8\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV as a function of centrality.

$c_2\{2\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

$c_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

$c_2\{6\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

$c_2\{8\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

$c_2\{2\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV as a function of centrality.

$c_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV as a function of centrality.

$c_2\{6\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV as a function of centrality.

$c_2\{8\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV as a function of centrality.

$v_2\{6\}/v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

$v_2\{6\}/v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV as a function of centrality.

$v_2\{8\}/v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

$v_2\{8\}/v_2\{4\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV as a function of centrality.

$v_2\{8\}/v_2\{6\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

$(v_2\{4\}-v_2\{6\})/11$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

$v_2\{6\}-v_2\{8\}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

$\gamma_{1}^{exp}$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

Elliptic Power parameter $k_2$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

Elliptic Power parameter $\alpha$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

Elliptic Power parameter $\varepsilon_0$ for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV as a function of centrality.

Elliptic Power distribution P(v2), rescaled by <v2>, for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 5-10$\%$

Elliptic Power distribution P(v2), rescaled by <v2>, for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 25-30$\%$

Elliptic Power distribution P(v2), rescaled by <v2>, for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 45-50$\%$

Elliptic Power distribution P(v2), rescaled by <v2>, for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 0-5$\%$

Elliptic Power distribution P(v2), rescaled by <v2>, for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 10-15$\%$

Elliptic Power distribution P(v2), rescaled by <v2>, for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 15-20$\%$

Elliptic Power distribution P(v2), rescaled by <v2>, for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 20-25$\%$

Elliptic Power distribution P(v2), rescaled by <v2>, for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 30-35$\%$

Elliptic Power distribution P(v2), rescaled by <v2>, for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 35-40$\%$

Elliptic Power distribution P(v2), rescaled by <v2>, for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 40-45$\%$

Elliptic Power distribution P(v2), rescaled by <v2>, for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 50-55$\%$

Elliptic Power distribution P(v2), rescaled by <v2>, for Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and centrality 55-60$\%$

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-I, tanbeta 1, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-I only gluon-gluon fusion is used and the nb=2 category only.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-I, tanbeta 5, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-I only gluon-gluon fusion is used and the nb=2 category only.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-I, tanbeta 10, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-I only gluon-gluon fusion is used and the nb=2 category only.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-I, tanbeta 20, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-I only gluon-gluon fusion is used and the nb=2 category only.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-II, tanbeta 1, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-II both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-II, tanbeta 5, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-II both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-II, tanbeta 10, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-II both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-II, tanbeta 20, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-II both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the lepton specific, tanbeta 1, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For lepton specific only gluon-gluon fusion is used and the nb=2 category only.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the lepton specific, tanbeta 2, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For lepton specific only gluon-gluon fusion is used and the nb=2 category only.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the lepton specific, tanbeta 3, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For lepton specific only gluon-gluon fusion is used and the nb=2 category only.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the flipped, tanbeta 1, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For flipped both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the flipped, tanbeta 5, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For flipped both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the flipped, tanbeta 10, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For flipped both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the flipped, tanbeta 20, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For flipped both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 130 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 130 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 140 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 140 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 150 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 150 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 160 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 160 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 170 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 170 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 180 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 180 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 190 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 190 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 210 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 210 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 220 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 220 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 230 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 230 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 240 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 240 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 250 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 250 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 260 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 260 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 270 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 270 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 280 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 280 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 290 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 290 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 310 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 310 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 320 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 320 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 330 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 330 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 340 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 340 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 350 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 350 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 360 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 360 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 370 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 370 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 380 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 380 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 390 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 390 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 400 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 400 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 410 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 410 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 420 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 420 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 430 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 430 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 440 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 440 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 450 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 450 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 460 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 460 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 470 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 470 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 480 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 480 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 490 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 490 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 510 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 510 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 520 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 520 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 530 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 530 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 540 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 540 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 550 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 550 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 560 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 560 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 570 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 570 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 580 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 580 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 590 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 590 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 600 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 600 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 610 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 610 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 620 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 620 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 630 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 630 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 640 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 640 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 650 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 650 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 660 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 660 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 670 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 670 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 680 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 680 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 690 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 690 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 700 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 700 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 200 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 200 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 300 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 300 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 500 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 500 GeV for the nb >= 3 (3 tag) category.

The azimuthal dependence $R_{out}^2$ as function of $\Phi_{pair} - \Psi_{\mathrm{EP,3}}$ for the centrality 20-30% and different kT.

The azimuthal dependence $R_{side}^2$ as function of $\Phi_{pair} - \Psi_{\mathrm{EP,3}}$ for the centrality 20-30% and different kT.

The azimuthal dependence $R_{side}^2$ as function of $\Phi_{pair} - \Psi_{\mathrm{EP,3}}$ for the centrality 20-30% and different kT.

The azimuthal dependence $R_{side}^2$ as function of $\Phi_{pair} - \Psi_{\mathrm{EP,3}}$ for the centrality 20-30% and different kT.

The azimuthal dependence $R_{side}^2$ as function of $\Phi_{pair} - \Psi_{\mathrm{EP,3}}$ for the centrality 20-30% and different kT.

The azimuthal dependence $R_{long}^2$ as function of $\Phi_{pair} - \Psi_{\mathrm{EP,3}}$ for the centrality 20-30% and different kT.

The azimuthal dependence $R_{long}^2$ as function of $\Phi_{pair} - \Psi_{\mathrm{EP,3}}$ for the centrality 20-30% and different kT.

The azimuthal dependence $R_{long}^2$ as function of $\Phi_{pair} - \Psi_{\mathrm{EP,3}}$ for the centrality 20-30% and different kT.

The azimuthal dependence $R_{long}^2$ as function of $\Phi_{pair} - \Psi_{\mathrm{EP,3}}$ for the centrality 20-30% and different kT.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the relative radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the relative radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the relative radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the relative radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the relative radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the relative radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the relative radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the relative radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the relative radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the relative radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the relative radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

Amplitudes of the relative radii oscillations as function of centrality percentile for four different $k_{\mathrm{T}}$.

The relative amplitudes of the radius oscillations dependence on the third-order anisotropies in space and transverse flow for kT = 0.6 GeV/c.

The relative amplitudes of the radius oscillations dependence on the third-order anisotropies in space and transverse flow for kT = 0.6 GeV/c.

Blast-Wave model source parameters, final source anisotropy ($a_{3}$) and transverse flow ($\rho_{3}$);, for different centrality ranges, as obtained from the fit to ALICE radii oscillation parameters.

Blast-Wave model source parameters, final source anisotropy ($a_{3}$) and transverse flow ($\rho_{3}$);, for different centrality ranges, as obtained from the fit to ALICE radii oscillation parameters.

Blast-Wave model source parameters, final source anisotropy ($a_{3}$) and transverse flow ($\rho_{3}$);, for different centrality ranges, as obtained from the fit to ALICE radii oscillation parameters.

Blast-Wave model source parameters, final source anisotropy ($a_{3}$) and transverse flow ($\rho_{3}$);, for different centrality ranges, as obtained from the fit to ALICE radii oscillation parameters.

Blast-Wave model source parameters, final source anisotropy ($a_{3}$) and transverse flow ($\rho_{3}$), for different centrality ranges, as obtained from the fit to ALICE radii oscillation parameters.

Blast-Wave model source parameters, final source anisotropy ($a_{3}$) and transverse flow ($\rho_{3}$), for different centrality ranges, as obtained from the fit to ALICE radii oscillation parameters.

Distributions of E_T^miss in the signal region of the had-had channel before the respective selection requirements, indicated by the vertical line and arrow, are applied. Here, &tau;₁ (&tau;₂) refers to the leading (subleading) &tau;_had. The stacked histograms show the various SM background contributions. The hatched band indicates the total statistical and systematic uncertainty in the SM background. The error bars on the black data points represent the statistical uncertainty in the data yields. The dashed line shows the expected additional yields from a benchmark signal model. The rightmost bin includes the overflow.

<b>Exclusion contour (obs)</b> Expected (solid blue line) and observed (solid red line) exclusion-limit contours at 95% confidence level in the plane of top-squark and tau-slepton mass for the simplified model, obtained from the statistical combination of the lep-had and had-had channels, using full experimental and theory systematic uncertainties except the theoretical uncertainty in the signal cross section. The yellow band shows one-standard-deviation variations around the expected limit contour. The dotted red lines indicate how the observed limit moves when varying the signal cross section up or down by the corresponding uncertainty in the theoretical value. For comparison, the plot also shows the observed exclusion contour from the ATLAS Run-1 analysis as the area shaded in gray and the limit on the mass of the tau slepton (for a massless LSP) from the LEP experiments as a green band.

<b>Exclusion contour (exp)</b> Expected (solid blue line) and observed (solid red line) exclusion-limit contours at 95% confidence level in the plane of top-squark and tau-slepton mass for the simplified model, obtained from the statistical combination of the lep-had and had-had channels, using full experimental and theory systematic uncertainties except the theoretical uncertainty in the signal cross section. The yellow band shows one-standard-deviation variations around the expected limit contour. The dotted red lines indicate how the observed limit moves when varying the signal cross section up or down by the corresponding uncertainty in the theoretical value. For comparison, the plot also shows the observed exclusion contour from the ATLAS Run-1 analysis as the area shaded in gray and the limit on the mass of the tau slepton (for a massless LSP) from the LEP experiments as a green band.

Expected numbers of events from the SM background processes from the background fit and observed event yield in data for the signal regions in the lep-had and had-had channel, given for an integrated luminosity of 36.1 fb^-1. The expected yield for the signal model with m(t&#771;₁)=1100 GeV and m(&tau;&#771;₁)=590 GeV is shown for comparison. The uncertainties include both the statistical and systematic uncertainties and are truncated at zero. The total background from events with a fake tau lepton in the lep-had channel (fake &tau;_had + e /&mu;) is obtained from the fake-factor method.

Normalization factors obtained from the background-only fit. The normalization factor for tt&#772; events with fake tau leptons is only relevant for the had-had channel.

Left to right: observed 95% CL upper limits on the visible cross section (&lang; A &epsilon; &sigma; &rang;_obs⁹⁵) and on the number of signal events (S_obs⁹⁵ ). The third column (S_exp⁹⁵) shows the expected 95% CL upper limit on the number of signal events, given the expected number (and &plusmn; 1&sigma; excursions on the expectation) of background events. The last two columns indicate the CL_b value, i.e. the confidence level observed for the background-only hypothesis, and the discovery p-value (p(s = 0)) and the corresponding significance (Z).

Signal acceptance A in percent for the signal region of the lep-had channel. The signal acceptance A is determined from a generator-level implementation of the analysis. It includes the branching ratios for the decays of the tau leptons. The selection efficiency &epsilon; is calculated using reconstructed objects, i.e. including all detector effects, and defined such that the event yields in the signal regions are given by the product A &middot; &epsilon; &middot; N_signal, where N_signal = &sigma; &middot; 36.1 fb^-1 and &sigma; is the theoretical prediction for the production cross section of top-squark pairs with the mass given on the horizontal axis.

Signal acceptance A in percent for the signal region of the had-had channel. The signal acceptance A is determined from a generator-level implementation of the analysis. It includes the branching ratios for the decays of the tau leptons. The selection efficiency &epsilon; is calculated using reconstructed objects, i.e. including all detector effects, and defined such that the event yields in the signal regions are given by the product A &middot; &epsilon; &middot; N_signal, where N_signal = &sigma; &middot; 36.1 fb^-1 and &sigma; is the theoretical prediction for the production cross section of top-squark pairs with the mass given on the horizontal axis.

Reconstruction efficiency &epsilon; in percent for the signal region of the lep-had channel. The signal acceptance A is determined from a generator-level implementation of the analysis. It includes the branching ratios for the decays of the tau leptons. The selection efficiency &epsilon; is calculated using reconstructed objects, i.e. including all detector effects, and defined such that the event yields in the signal regions are given by the product A &middot; &epsilon; &middot; N_signal, where N_signal = &sigma; &middot; 36.1 fb^-1 and &sigma; is the theoretical prediction for the production cross section of top-squark pairs with the mass given on the horizontal axis.

Reconstruction efficiency &epsilon; in percent for the signal region of the had-had channel. The signal acceptance A is determined from a generator-level implementation of the analysis. It includes the branching ratios for the decays of the tau leptons. The selection efficiency &epsilon; is calculated using reconstructed objects, i.e. including all detector effects, and defined such that the event yields in the signal regions are given by the product A &middot; &epsilon; &middot; N_signal, where N_signal = &sigma; &middot; 36.1 fb^-1 and &sigma; is the theoretical prediction for the production cross section of top-squark pairs with the mass given on the horizontal axis.

Upper exclusion limits at 95% confidence level on the observed cross section &sigma;_obs⁹⁵ for the simplified signal model as function of the top-squark mass m(t&#771;₁) and tau-slepton mass m(&tau;&#771;₁) in GeV.

Number of events passing each selection step of SR LH (lep-had channel) before (raw number) and after applying event-based weights (weighted) for signal point m(t&#771;₁) = 1100 GeV, m(&tau;&#771;₁) = 590 GeV. The preselection step here does not include the requirements on the tau p_T and the number of bjets.

Number of events passing each selection step of SR HH (had-had channel) before (raw number) and after applying event-based weights (weighted) for signal point m(t&#771;₁) = 1100 GeV, m(&tau;&#771;₁) = 590 GeV. The preselection step here does not include the requirements on the tau p_T and the number of bjets. Here, &tau;₁ (&tau;₂) refers to the leading (subleading) &tau;_had.

Distributions of ETmiss for data and the expected SM backgrounds in the 2l+jets channel for SR2-int/high, without the final ETmiss requirement applied. Two signal points are added for comparison.

Distributions of ETmiss for data and the expected SM backgrounds in the 2l+jets channel for SR2-low, without the final ETmiss requirement applied. Two signal points are added for comparison.

Distributions of ETmiss for data and the estimated SM backgrounds in the 3l channel for SR3-slep-a. Two signal points are added for comparison.

Distributions of ETmiss for data and the estimated SM backgrounds in the 3l channel for SR3-slep-b. Two signal points are added for comparison.

Distributions of the third leading lepton pT in SR3-slep-c,d,e. Two signal points are added for comparison.

Distributions of ETmiss for data and the estimated SM backgrounds in the 3l channel for SR3-WZ-0Ja,b,c. Two signal points are added for comparison.

Distributions of ETmiss for data and the estimated SM backgrounds in the 3l channel for SR3-WZ-1Ja. Two signal points are added for comparison.

Distributions of ETmiss for data and the estimated SM backgrounds in the 3l channel for SR3-WZ-1Jb. Two signal points are added for comparison.

Distributions of ETmiss for data and the estimated SM backgrounds in the 3l channel for SR3-WZ-1Jc. Two signal points are added for comparison.

Expected 95% CL exclusion limit for chargino-pair production.

Observed 95% CL exclusion limit for chargino-pair production.

Expected 95% CL exclusion limit for direct slepton production.

Observed 95% CL exclusion limit for direct slepton production.

Expected 95% CL exclusion limit for chargino-neutralino production with slepton-mediated decays.

Observed 95% CL exclusion limit for chargino-neutralino production with slepton-mediated decays.

Expected 95% CL exclusion limit for chargino-neutralino production with W/Z-mediated decays.

Observed 95% CL exclusion limit for chargino-neutralino production with W/Z-mediated decays.

The mT2 distributions for data and the estimated SM backgrounds in the exclusive SF signal regions of the 2l+0jets channel in the regions 111 < mll < 150 GeV (corresponding to SR2-SF-a,b,c,d). Two signal points are added for comparison.

The mT2 distributions for data and the estimated SM backgrounds in the exclusive SF signal regions of the 2l+0jets channel in the regions 150 < mll < 200 GeV (corresponding to SR2-SF-e,f,g,h). Two signal points are added for comparison.

The mT2 distributions for data and the estimated SM backgrounds in the exclusive SF signal regions of the 2l+0jets channel in the regions 200 < mll < 300 GeV (corresponding to SR2-SF-i,j,k,l). Two signal points are added for comparison.

The mT2 distributions for data and the estimated SM backgrounds in the exclusive SF signal regions of the 2l+0jets channel in the regions mll > 300 GeV (corresponding to SR2-SF-m). Two signal points are added for comparison.

Signal acceptance for C1C1 production in SR2-SFloose for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$ .

Signal efficiency for C1C1 production in SR2-SFloose for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.

Signal acceptance for C1C1 production in SR2-SFtight for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.

Signal efficiency for C1C1 production in SR2-SFtight for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.

Signal acceptance for C1C1 production in SR2-DF100 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.

Signal efficiency for C1C1 production in SR2-DF100 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.

Signal acceptance for C1C1 production in SR2-DF150 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.

Signal efficiency for C1C1 production in SR2-DF150 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.

Signal acceptance for C1C1 production in SR2-DF200 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.

Signal efficiency for C1C1 production in SR2-DF200 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.

Signal acceptance for C1C1 production in SR2-DF300 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.

Signal efficiency for C1C1 production in SR2-DF300 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.

Signal acceptance for direct Slepton production in SR2-SF-Loose for the process P P -> $\tilde{\ell}^\pm \tilde{\ell}^\mp$ -> $\ell^\pm \ell^\mp \widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal efficiency for direct Slepton production in SR2-SF-Loose for the process P P -> $\tilde{\ell}^\pm \tilde{\ell}^\mp$ -> $\ell^\pm \ell^\mp \widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal acceptance for direct Slepton production in SR2-SF-Tight for the process P P -> $\tilde{\ell}^\pm \tilde{\ell}^\mp$ -> $\ell^\pm \ell^\mp \widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal efficiency for direct Slepton production in SR2-SF-Tight for the process P P -> $\tilde{\ell}^\pm \tilde{\ell}^\mp$ -> $\ell^\pm \ell^\mp \widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal acceptance for C1N2 production in SR2-low for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->2j) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal efficiency for C1N2 production in SR2-low for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->2j) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal acceptance for C1N2 production in SR2-int for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->2j) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal efficiency for C1N2 production in SR2-int for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->2j) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal acceptance for C1N2 production in SR2-high for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->2j) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal efficiency for C1N2 production in SR2-high for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->2j) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal acceptance for Slep production in SR3-slepa for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.

Signal efficiency for Slep production in SR3-slepa for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.

Signal acceptance for Slep production in SR3-slepb for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.

Signal efficiency for Slep production in SR3-slepb for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.

Signal acceptance for Slep production in SR3-slepc for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.

Signal efficiency for Slep production in SR3-slepc for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.

Signal acceptance for Slep production in SR3-slepd for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.

Signal efficiency for Slep production in SR3-slepd for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.

Signal acceptance for Slep production in SR3-slepe for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.

Signal efficiency for Slep production in SR3-slepe for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.

Signal acceptance for WZ production in SR3-WZ-0Ja for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal efficiency for WZ production in SR3-WZ-0Ja for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal acceptance for WZ production in SR3-WZ-0Jb for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal efficiency for WZ production in SR3-WZ-0Jb for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal acceptance for WZ production in SR3-WZ-0Jc for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal efficiency for WZ production in SR3-WZ-0Jc for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal acceptance for WZ production in SR3-WZ-1Ja for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal efficiency for WZ production in SR3-WZ-1Ja for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal acceptance for WZ production in SR3-WZ-1Jb for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal efficiency for WZ production in SR3-WZ-1Jb for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal acceptance for WZ production in SR3-WZ-1Jc for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal efficiency for WZ production in SR3-WZ-1Jc for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

Signal regions contributing to the observed exclusion limit for chargino-neutralino production with W/Z-mediated decays.

Expected 95% CL exclusion limit for chargino-neutralino production with W/Z-mediated decays in the 2l+jets channel.

Observed 95% CL exclusion limit for chargino-neutralino production with W/Z-mediated decays in the 2l+jets channel.

Expected 95% CL exclusion limit for chargino-neutralino production with W/Z-mediated decays in the 3l channel.

Observed 95% CL exclusion limit for chargino-neutralino production with W/Z-mediated decays in the 2l+jets channel.

Expected 95% CL exclusion limit for left-handed slepton production.

Observed 95% CL exclusion limit for left-handed slepton production.

Expected 95% CL exclusion limit for right-handed slepton production.

Observed 95% CL exclusion limit for right-handed slepton production.

95% upper limit on production cross-section for chargino-pair production.

95% upper limit on production cross-section for direct slepton production.

95% upper limit on production cross-section for chargino-neutralino production with slepton-mediated decays.

95% upper limit on production cross-section for chargino-neutralino production with W/Z-mediated decays

<b>Cutflow 1</b> Event counts for a signal point in SR2-SF-loose for the process P P -> $\tilde{\ell}^\pm \tilde{\ell}^\mp$ -> $\ell^\pm \ell^\mp \widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

<b>Cutflow 2</b> Event counts for a signal point in SR2-SF-loose and SR2-DF-100 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.

<b>Cutflow 3</b> Event counts for two signal points in SR2-int for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.

<b>Cutflow 4</b> Event counts for two signal points in SR2-low for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.

<b>Cutflow 5</b> Event counts for two signal points in SR3-WZ-0Ja/b/c and SR3-WZ-1Ja/b/c for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.

<b>Cutflow 6</b> Event counts for two signal points in SR3-slepa-e for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.

Integrated per-trigger yields as a function of associated particle angle relative to $\psi_2$ event plane $\phi^a - \psi_2$ integrated over the near side $|\Delta\phi|<\pi/4$.

Integrated per-trigger yields as a function of associated particle angle relative to $\psi_2$ event plane $\phi^a - \psi_2$ integrated over the away side $|\Delta\phi|<\pi/4$.

Integrated per-trigger yields as a function of associated particle angle relative to $\psi_2$ event plane for near-side $|\Delta\phi|<\pi/4$ and for away-side $|\Delta\phi|<\pi/4$.

Integrated per-trigger yields as a function of associated particle angle relative to $\psi_2$ event plane for near-side $|\Delta\phi|<\pi/4$ and for away-side $|\Delta\phi|<\pi/4$.

Per-trigger yields $Y(\Delta\phi)$ of dihadrons pairs measured in Au$+$Au collisions at $\sqrt{s_{_{NN}}}=200~{\rm GeV}$ after subtracting the underlying event model with several $p_T$ selections. Systematic uncertainties due to track matching are given.

Per-trigger yields $Y(\Delta\phi)$ of dihadrons pairs measured in Au$+$Au collisions at $\sqrt{s_{_{NN}}}=200~{\rm GeV}$ after subtracting the underlying event model with several $p_T$ selections. Systematic uncertainties due to track matching are given.

$\Psi_{2}$-dependent $C(\Delta\phi)$ for $2<p_{T}^{trig}<4$ GeV/c and $1<p_{T}^{assoc}<2$ GeV/c.

$\Psi_{2}$-dependent $C(\Delta\phi)$ for $2<p_{T}^{trig}<4$ GeV/c and $2<p_{T}^{assoc}<4$ GeV/c.

$\Psi_{2}$-dependent $C(\Delta\phi)$ for $4<p_{T}^{trig}<10$ GeV/c and $2<p_{T}^{assoc}<4$ GeV/c.

$\Psi_{3}$-dependent $C(\Delta\phi)$ for $2<p_{T}^{trig}<4$ GeV/c and $1<p_{T}^{assoc}<2$ GeV/c.

$\Psi_{3}$-dependent $C(\Delta\phi)$ for $2<p_{T}^{trig}<4$ GeV/c and $2<p_{T}^{assoc}<4$ GeV/c.

$\Psi_{3}$-dependent $C(\Delta\phi)$ for $4<p_{T}^{trig}<10$ GeV/c and $1<p_{T}^{assoc}<2$ GeV/c.

$\Psi_{2}$-dependent $Y(\Delta\phi)$ for $2<p_{T}^{trig}<4$ GeV/c and $1<p_{T}^{assoc}<2$ GeV/c.

$\Psi_{2}$-dependent $C(\Delta\phi)$ for $2<p_{T}^{trig}<4$ GeV/c and $2<p_{T}^{assoc}<4$ GeV/c.

$\Psi_{2}$-dependent $C(\Delta\phi)$ for $4<p_{T}^{trig}<10$ GeV/c and $2<p_{T}^{assoc}<4$ GeV/c.

$\Psi_{3}$-dependent $C(\Delta\phi)$ for $2<p_{T}^{trig}<4$ GeV/c and $1<p_{T}^{assoc}<2$ GeV/c.

$\Psi_{3}$-dependent $C(\Delta\phi)$ for $2<p_{T}^{trig}<4$ GeV/c and $2<p_{T}^{assoc}<4$ GeV/c.

$\Psi_{3}$-dependent $C(\Delta\phi)$ for $4<p_{T}^{trig}<10$ GeV/c and $2<p_{T}^{assoc}<4$ GeV/c.

$\Psi_2$-dependent C for 2 $< p_T^t <$ 4 and 1 $< p_T^a <$ 2 GeV/c.

$\Psi_2$-dependent C for 2 $< p_T^t <$ 4 and 2 $< p_T^a <$ 4 GeV/c.

$\Psi_2$-dependent C for 4 $< p_T^t <$ 10 and 2 $< p_T^a <$ 4 GeV/c.

$\Psi_2$-dependent Y for 2 $< p_T^t <$ 4 and 1 $< p_T^a <$ 2 GeV/c.

$\Psi_2$-dependent Y for 2 $< p_T^t <$ 4 and 2 $< p_T^a <$ 4 GeV/c.

$\Psi_2$-dependent Y for 4 $< p_T^t <$ 10 and 2 $< p_T^a <$ 4 GeV/c.

$\Psi_3$-dependent C for 2 $< p_T^t <$ 4 and 1 $< p_T^a <$ 2 GeV/c.

$\Psi_3$-dependent C for 2 $< p_T^t <$ 4 and 2 $< p_T^a <$ 4 GeV/c.

$\Psi_3$-dependent C for 4 $< p_T^t <$ 10 and 2 $< p_T^a <$ 4 GeV/c.

$\Psi_3$-dependent Y for 2 $< p_T^t <$ 4 and 1 $< p_T^a <$ 2 GeV/c.

$\Psi_3$-dependent Y for 2 $< p_T^t <$ 4 and 2 $< p_T^a <$ 4 GeV/c.

$\Psi_3$-dependent Y for 4 $< p_T^t <$ 10 and 2 $< p_T^a <$ 4 GeV/c.