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.

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 -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 4-jet exclusive configuration and |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 4-jet exclusive configuration and $p_{T}^{t,had}$ in the 6-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 4-jet exclusive configuration and $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 4-jet exclusive configuration and |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 4-jet exclusive configuration and $p_{T}^{t,had}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 4-jet exclusive configuration and $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 4-jet exclusive configuration and |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 4-jet exclusive configuration and $p_{T}^{t,had}$ in the 4-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 4-jet exclusive configuration and $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 4-jet exclusive configuration and |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 4-jet exclusive configuration and $p_{T}^{t,had}$ in the 6-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 4-jet exclusive configuration and $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 4-jet exclusive configuration and |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 4-jet exclusive configuration and $p_{T}^{t,had}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 4-jet exclusive configuration and $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 4-jet exclusive configuration and |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration and $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration and |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration and $p_{T}^{t,had}$ in the 6-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration and $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration and |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration and $p_{T}^{t,had}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration and $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration and |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration and |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration and $p_{T}^{t,had}$ in the 6-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration and $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration and |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration and $p_{T}^{t,had}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration and $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration and |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 6-jet inclusive configuration and $p_{T}^{t,had}$ in the 6-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 6-jet inclusive configuration and $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 6-jet inclusive configuration and |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 6-jet inclusive configuration and $p_{T}^{t,had}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 6-jet inclusive configuration and $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 6-jet inclusive configuration and |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration and $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration and |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration and $p_{T}^{t,had}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration and $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration and |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration and |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration and $p_{T}^{t,had}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration and $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration and |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 5-jet exclusive configuration and $p_{T}^{t,had}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 5-jet exclusive configuration and $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t,had}$ in the 5-jet exclusive configuration and |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration and $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration and |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration, obtained through the Bootstrap Method.

Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration and |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration, obtained through the Bootstrap Method.

Covariance matrix of the absolute cross-section as function of |$p_{out}^{t\bar{t}}$| in the 4-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the relative cross-section as function of |$p_{out}^{t\bar{t}}$| in the 4-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the absolute cross-section as function of $p_{T}^{t,had}$ in the 4-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the relative cross-section as function of $p_{T}^{t,had}$ in the 4-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the absolute cross-section as function of $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the relative cross-section as function of $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the absolute cross-section as function of |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the relative cross-section as function of |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the absolute cross-section as function of $p_{T}^{t,had}$ in the 6-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the relative cross-section as function of $p_{T}^{t,had}$ in the 6-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the absolute cross-section as function of $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the relative cross-section as function of $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the absolute cross-section as function of |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the relative cross-section as function of |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the absolute cross-section as function of $p_{T}^{t,had}$ in the 5-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the relative cross-section as function of $p_{T}^{t,had}$ in the 5-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the absolute cross-section as function of $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the relative cross-section as function of $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the absolute cross-section as function of |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Covariance matrix of the relative cross-section as function of |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the absolute cross-section as function of |$p_{out}^{t\bar{t}}$| in the 4-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the relative cross-section as function of |$p_{out}^{t\bar{t}}$| in the 4-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the absolute cross-section as function of $p_{T}^{t,had}$ in the 4-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the relative cross-section as function of $p_{T}^{t,had}$ in the 4-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the absolute cross-section as function of $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the relative cross-section as function of $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the absolute cross-section as function of |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the relative cross-section as function of |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the absolute cross-section as function of $p_{T}^{t,had}$ in the 6-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the relative cross-section as function of $p_{T}^{t,had}$ in the 6-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the absolute cross-section as function of $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the relative cross-section as function of $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the absolute cross-section as function of |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the relative cross-section as function of |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the absolute cross-section as function of $p_{T}^{t,had}$ in the 5-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the relative cross-section as function of $p_{T}^{t,had}$ in the 5-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the absolute cross-section as function of $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the relative cross-section as function of $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the absolute cross-section as function of |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Correlation matrix of the relative cross-section as function of |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration, accounting for the statistical and systematic uncertainties.

Systematic uncertanties for the absolute differential cross-section at particle-level for |$p_{out}^{t\bar{t}}$| in the 4-jet exclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the relative differential cross-section at particle-level for |$p_{out}^{t\bar{t}}$| in the 4-jet exclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the absolute differential cross-section at particle-level for $p_{T}^{t,had}$ in the 4-jet exclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the relative differential cross-section at particle-level for $p_{T}^{t,had}$ in the 4-jet exclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the absolute differential cross-section at particle-level for $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the relative differential cross-section at particle-level for $p_{T}^{t\bar{t}}$ in the 4-jet exclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the absolute differential cross-section at particle-level for |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the relative differential cross-section at particle-level for |$p_{out}^{t\bar{t}}$| in the 6-jet inclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the absolute differential cross-section at particle-level for $p_{T}^{t,had}$ in the 6-jet inclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the relative differential cross-section at particle-level for $p_{T}^{t,had}$ in the 6-jet inclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the absolute differential cross-section at particle-level for $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the relative differential cross-section at particle-level for $p_{T}^{t\bar{t}}$ in the 6-jet inclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the absolute differential cross-section at particle-level for |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the relative differential cross-section at particle-level for |$p_{out}^{t\bar{t}}$| in the 5-jet exclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the absolute differential cross-section at particle-level for $p_{T}^{t,had}$ in the 5-jet exclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the relative differential cross-section at particle-level for $p_{T}^{t,had}$ in the 5-jet exclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the absolute differential cross-section at particle-level for $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the relative differential cross-section at particle-level for $p_{T}^{t\bar{t}}$ in the 5-jet exclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the absolute differential cross-section at particle-level for |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Systematic uncertanties for the relative differential cross-section at particle-level for |$p_{out}^{t\bar{t}}$| in the 4-jet inclusive configuration. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

$p_{T}^{t,2}$ absolute differential cross-section at particle level

$|{y}^{t,2}|$ absolute differential cross-section at particle level

$m^{t\bar{t}}$ absolute differential cross-section at particle level

$p_{T}^{t\bar{t}}$ absolute differential cross-section at particle level

$|y^{t\bar{t}}|$ absolute differential cross-section at particle level

$\chi^{t\bar{t}}$ absolute differential cross-section at particle level

$|y_{B}^{t\bar{t}}|$ absolute differential cross-section at particle level

$|p_{out}^{t\bar{t}}|$ absolute differential cross-section at particle level

$\Delta \phi(t_{1}, t_{2})$ absolute differential cross-section at particle level

$H_{T}^{t\bar{t}}$ absolute differential cross-section at particle level

$|\cos\theta^{*}|$ absolute differential cross-section at particle level

$p_{T}^{t,1}$ normalized differential cross-section at particle level

$|{y}^{t,1}|$ normalized differential cross-section at particle level

$p_{T}^{t,2}$ normalized differential cross-section at particle level

$|{y}^{t,2}|$ normalized differential cross-section at particle level

$m^{t\bar{t}}$ normalized differential cross-section at particle level

$p_{T}^{t\bar{t}}$ normalized differential cross-section at particle level

$|y^{t\bar{t}}|$ normalized differential cross-section at particle level

$\chi^{t\bar{t}}$ normalized differential cross-section at particle level

$|y_{B}^{t\bar{t}}|$ normalized differential cross-section at particle level

$|p_{out}^{t\bar{t}}|$ normalized differential cross-section at particle level

$\Delta \phi(t_{1}, t_{2})$ normalized differential cross-section at particle level

$H_{T}^{t\bar{t}}$ normalized differential cross-section at particle level

$|\cos\theta^{*}|$ normalized differential cross-section at particle level

$p_{T}^{t,1}$ covariance matrix for the absolute differential cross-section at particle level

$p_{T}^{t,1}$ correlation matrix for the absolute differential cross-section at particle level

$p_{T}^{t,1}$ covariance matrix for the normalized differential cross-section at particle level

$p_{T}^{t,1}$ correlation matrix for the normalized differential cross-section at particle level

$|{y}^{t,1}|$ covariance matrix for the absolute differential cross-section at particle level

$|{y}^{t,1}|$ correlation matrix for the absolute differential cross-section at particle level

$|{y}^{t,1}|$ covariance matrix for the normalized differential cross-section at particle level

$|{y}^{t,1}|$ correlation matrix for the normalized differential cross-section at particle level

$p_{T}^{t,2}$ covariance matrix for the absolute differential cross-section at particle level

$p_{T}^{t,2}$ correlation matrix for the absolute differential cross-section at particle level

$p_{T}^{t,2}$ covariance matrix for the normalized differential cross-section at particle level

$p_{T}^{t,2}$ correlation matrix for the normalized differential cross-section at particle level

$|{y}^{t,2}|$ covariance matrix for the absolute differential cross-section at particle level

$|{y}^{t,2}|$ correlation matrix for the absolute differential cross-section at particle level

$|{y}^{t,2}|$ covariance matrix for the normalized differential cross-section at particle level

$|{y}^{t,2}|$ correlation matrix for the normalized differential cross-section at particle level

$m^{t\bar{t}}$ covariance matrix for the absolute differential cross-section at particle level

$m^{t\bar{t}}$ correlation matrix for the absolute differential cross-section at particle level

$m^{t\bar{t}}$ covariance matrix for the normalized differential cross-section at particle level

$m^{t\bar{t}}$ correlation matrix for the normalized differential cross-section at particle level

$p_{T}^{t\bar{t}}$ covariance matrix for the absolute differential cross-section at particle level

$p_{T}^{t\bar{t}}$ correlation matrix for the absolute differential cross-section at particle level

$p_{T}^{t\bar{t}}$ covariance matrix for the normalized differential cross-section at particle level

$p_{T}^{t\bar{t}}$ correlation matrix for the normalized differential cross-section at particle level

$|y^{t\bar{t}}|$ covariance matrix for the absolute differential cross-section at particle level

$|y^{t\bar{t}}|$ correlation matrix for the absolute differential cross-section at particle level

$|y^{t\bar{t}}|$ covariance matrix for the normalized differential cross-section at particle level

$|y^{t\bar{t}}|$ correlation matrix for the normalized differential cross-section at particle level

$\chi^{t\bar{t}}$ covariance matrix for the absolute differential cross-section at particle level

$\chi^{t\bar{t}}$ correlation matrix for the absolute differential cross-section at particle level

$\chi^{t\bar{t}}$ covariance matrix for the normalized differential cross-section at particle level

$\chi^{t\bar{t}}$ correlation matrix for the normalized differential cross-section at particle level

$|y_{B}^{t\bar{t}}|$ covariance matrix for the absolute differential cross-section at particle level

$|y_{B}^{t\bar{t}}|$ correlation matrix for the absolute differential cross-section at particle level

$|y_{B}^{t\bar{t}}|$ covariance matrix for the normalized differential cross-section at particle level

$|y_{B}^{t\bar{t}}|$ correlation matrix for the normalized differential cross-section at particle level

$|p_{out}^{t\bar{t}}|$ covariance matrix for the absolute differential cross-section at particle level

$|p_{out}^{t\bar{t}}|$ correlation matrix for the absolute differential cross-section at particle level

$|p_{out}^{t\bar{t}}|$ covariance matrix for the normalized differential cross-section at particle level

$|p_{out}^{t\bar{t}}|$ correlation matrix for the normalized differential cross-section at particle level

$\Delta \phi(t_{1}, t_{2})$ covariance matrix for the absolute differential cross-section at particle level

$\Delta \phi(t_{1}, t_{2})$ correlation matrix for the absolute differential cross-section at particle level

$\Delta \phi(t_{1}, t_{2})$ covariance matrix for the normalized differential cross-section at particle level

$\Delta \phi(t_{1}, t_{2})$ correlation matrix for the normalized differential cross-section at particle level

$H_{T}^{t\bar{t}}$ covariance matrix for the absolute differential cross-section at particle level

$H_{T}^{t\bar{t}}$ correlation matrix for the absolute differential cross-section at particle level

$H_{T}^{t\bar{t}}$ covariance matrix for the normalized differential cross-section at particle level

$H_{T}^{t\bar{t}}$ correlation matrix for the normalized differential cross-section at particle level

$|\cos\theta^{*}|$ covariance matrix for the absolute differential cross-section at particle level

$|\cos\theta^{*}|$ correlation matrix for the absolute differential cross-section at particle level

$|\cos\theta^{*}|$ covariance matrix for the normalized differential cross-section at particle level

$|\cos\theta^{*}|$ correlation matrix for the normalized differential cross-section at particle level

Statistical correlation matrix for the absolute differential cross-section of all 13 variables at particle level. The observables are arranged as follows: leading top pT - ${p_{{T}}}^{t,1}$ [bins 1-8], leading top rapidity - $|y^{t,1}|$ [bins 9-14], subleading top pT - ${p_{{T}}}^{t,2}$ [bins 15-21], subleading top rapidity - $|y^{t,2}|$ [bins 22-27], ttbar mass - $m^{t\bar{t}}$ [bins 28-37], ttbar pT - ${p_{{T}}}^{t\bar{t}}$ [bins 38-43], ttbar rapidity - $|y^{t\bar{t}}|$ [bins 44-49], chi ttbar - ${\chi}^{t\bar{t}}$ [bins 50-56], delta phi ttbar - ${\Delta\phi}(t_1,t_2)$ [bins 57-60], ttbar out of plane momentum - $|p_{out}^{t\bar{t}}|$ [bins 61-67], yboost ttbar - $|y_{B}^{t\bar{t}}|$ [68-74], cos theta star - $|{\cos{\theta}^{\star}}|$ [bins 75-80], HT ttbar - $H_{T}^{t\bar{t}}$ [bins 81-87].

Statistical correlation matrix for the normalized differential cross-section of all 13 variables at particle level. The observables are arranged as follows: leading top pT - ${p_{{T}}}^{t,1}$ [bins 1-8], leading top rapidity - $|y^{t,1}|$ [bins 9-14], subleading top pT - ${p_{{T}}}^{t,2}$ [bins 15-21], subleading top rapidity - $|y^{t,2}|$ [bins 22-27], ttbar mass - $m^{t\bar{t}}$ [bins 28-37], ttbar pT - ${p_{{T}}}^{t\bar{t}}$ [bins 38-43], ttbar rapidity - $|y^{t\bar{t}}|$ [bins 44-49], chi ttbar - ${\chi}^{t\bar{t}}$ [bins 50-56], delta phi ttbar - ${\Delta\phi}(t_1,t_2)$ [bins 57-60], ttbar out of plane momentum - $|p_{out}^{t\bar{t}}|$ [bins 61-67], yboost ttbar - $|y_{B}^{t\bar{t}}|$ [68-74], cos theta star - $|{\cos{\theta}^{\star}}|$ [bins 75-80], HT ttbar - $H_{T}^{t\bar{t}}$ [bins 81-87].

${p_{{T}}}^{t}$ absolute differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$|y^{t}|$ absolute differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

${p_{{T}}}^{t,1}$ absolute differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$|y^{t,1}|$ absolute differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

${p_{{T}}}^{t,2}$ absolute differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$|{y}^{t,2}|$ absolute differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$m^{t\bar{t}}$ absolute differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

${p_{{T}}}^{t\bar{t}}$ absolute differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$|{y}^{t\bar{t}}|$ absolute differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

${\chi}^{t\bar{t}}$ absolute differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$|{y_{B}}^{t\bar{t}}|$ absolute differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$|{p_{out}}^{t\bar{t}}|$ absolute differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

${\Delta\phi}(t_1,t_2)$ absolute differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

${H_{T}}^{t\bar{t}}$ absolute differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$|{\cos{\theta}^{\star}}|$ absolute differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

${p_{{T}}}^{t}$ normalized differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$|y^{t}|$ normalized differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

${p_{{T}}}^{t,1}$ normalized differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$|y^{t,1}|$ normalized differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

${p_{{T}}}^{t,2}$ normalized differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$|{y}^{t,2}|$ normalized differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$m^{t\bar{t}}$ normalized differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

${p_{{T}}}^{t\bar{t}}$ normalized differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$|{y}^{t\bar{t}}|$ normalized differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

${\chi}^{t\bar{t}}$ normalized differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$|{y_{B}}^{t\bar{t}}|$ normalized differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$|{p_{out}}^{t\bar{t}}|$ normalized differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

${\Delta\phi}(t_1,t_2)$ normalized differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$H_{T}^{t\bar{t}}$ normalized differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

$|{\cos{\theta}^{\star}}|$ normalized differential cross-section at parton level. The parton level phase-space is limited to the region $p_T^{t,1} > 500~$GeV, $p_T^{t,2} > 350~$GeV.

${p_{{T}}}^{t}$ covariance matrix for the absolute differential cross-section at parton level

${p_{{T}}}^{t}$ correlation matrix for the absolute differential cross-section at parton level

${p_{{T}}}^{t}$ covariance matrix for the normalized differential cross-section at parton level

${p_{{T}}}^{t}$ correlation matrix for the normalized differential cross-section at parton level

$|y^{t}|$ covariance matrix for the absolute differential cross-section in parton level

$|y^{t}|$ correlation matrix for the absolute differential cross-section at parton level

$|y^{t}|$ covariance matrix for the normalized differential cross-section in parton level

$|y^{t}|$ correlation matrix for the normalized differential cross-section at parton level

${p_{{T}}}^{t,1}$ covariance matrix for the absolute differential cross-section at parton level

${p_{{T}}}^{t,1}$ correlation matrix for the absolute differential cross-section at parton level

${p_{{T}}}^{t,1}$ covariance matrix for the normalized differential cross-section at parton level

${p_{{T}}}^{t,1}$ correlation matrix for the normalized differential cross-section at parton level

$|y^{t,1}|$ covariance matrix for the absolute differential cross-section at parton level

$|y^{t,1}|$ correlation matrix for the absolute differential cross-section at parton level

$|y^{t,1}|$ covariance matrix for the normalized differential cross-section at parton level

$|y^{t,1}|$ correlation matrix for the normalized differential cross-section at parton level

${p_{{T}}}^{t,2}$ covariance matrix for the absolute differential cross-section at parton level

${p_{{T}}}^{t,2}$ correlation matrix for the absolute differential cross-section at parton level

${p_{{T}}}^{t,2}$ covariance matrix for the normalized differential cross-section at parton level

${p_{{T}}}^{t,2}$ correlation matrix for the normalized differential cross-section at parton level

$|{y}^{t,2}|$ covariance matrix for the absolute differential cross-section at parton level

$|{y}^{t,2}|$ correlation matrix for the absolute differential cross-section at parton level

$|{y}^{t,2}|$ covariance matrix for the normalized differential cross-section at parton level

$|{y}^{t,2}|$ correlation matrix for the normalized differential cross-section at parton level

$m^{t\bar{t}}$ covariance matrix for the absolute differential cross-section at parton level

$m^{t\bar{t}}$ correlation matrix for the absolute differential cross-section at parton level

$m^{t\bar{t}}$ covariance matrix for the normalized differential cross-section at parton level

$m^{t\bar{t}}$ correlation matrix for the normalized differential cross-section at parton level

${p_{{T}}}^{t\bar{t}}$ covariance matrix for the absolute differential cross-section at parton level

${p_{{T}}}^{t\bar{t}}$ correlation matrix for the absolute differential cross-section at parton level

${p_{{T}}}^{t\bar{t}}$ covariance matrix for the normalized differential cross-section at parton level

${p_{{T}}}^{t\bar{t}}$ correlation matrix for the normalized differential cross-section at parton level

$|{y}^{t\bar{t}}|$ covariance matrix for the absolute differential cross-section at parton level

$|{y}^{t\bar{t}}|$ correlation matrix for the absolute differential cross-section at parton level

$|{y}^{t\bar{t}}|$ covariance matrix for the normalized differential cross-section at parton level

$|{y}^{t\bar{t}}|$ correlation matrix for the normalized differential cross-section at parton level

${\chi}^{t\bar{t}}$ covariance matrix for the absolute differential cross-section at parton level

${\chi}^{t\bar{t}}$ correlation matrix for the absolute differential cross-section at parton level

${\chi}^{t\bar{t}}$ covariance matrix for the normalized differential cross-section at parton level

${\chi}^{t\bar{t}}$ correlation matrix for the normalized differential cross-section at parton level

$|{y_{B}}^{t\bar{t}}|$ covariance matrix for the absolute differential cross-section at parton level

$|{y_{B}}^{t\bar{t}}|$ correlation matrix for the absolute differential cross-section at parton level

$|{y_{B}}^{t\bar{t}}|$ covariance matrix for the normalized differential cross-section at parton level

$|{y_{B}}^{t\bar{t}}|$ correlation matrix for the normalized differential cross-section at parton level

$|{p_{out}}^{t\bar{t}}|$ covariance matrix for the absolute differential cross-section at parton level

$|{p_{out}}^{t\bar{t}}|$ correlation matrix for the absolute differential cross-section at parton level

$|{p_{out}}^{t\bar{t}}|$ covariance matrix for the normalized differential cross-section at parton level

$|{p_{out}}^{t\bar{t}}|$ correlation matrix for the normalized differential cross-section at parton level

${\Delta\phi}(t_1,t_2)$ covariance matrix for the absolute differential cross-section at parton level

${\Delta\phi}(t_1,t_2)$ correlation matrix for the absolute differential cross-section at parton level

${\Delta\phi}(t_1,t_2)$ covariance matrix for the normalized differential cross-section at parton level

${\Delta\phi}(t_1,t_2)$ correlation matrix for the normalized differential cross-section at parton level

$H_{T}^{t\bar{t}}$ covariance matrix for the absolute differential cross-section at parton level

$H_{T}^{t\bar{t}}$ correlation matrix for the absolute differential cross-section at parton level

$H_{T}^{t\bar{t}}$ covariance matrix for the normalized differential cross-section at parton level

$H_{T}^{t\bar{t}}$ correlation matrix for the normalized differential cross-section at parton level

$|{\cos{\theta}^{\star}}|$ covariance matrix for the absolute differential cross-section at parton level

$|{\cos{\theta}^{\star}}|$ correlation matrix for the absolute differential cross-section at parton level

$|{\cos{\theta}^{\star}}|$ covariance matrix for the normalized differential cross-section at parton level

$|{\cos{\theta}^{\star}}|$ correlation matrix for the normalized differential cross-section at parton level

Statistical correlation matrix for the absolute differential cross-section of all 15 variables at parton level. The observables are arranged as follows: random top pT - ${p_{{T}}}^{t}$ [bins 1-8], random top rapidity - $|y^{t}|$ [bins 9-16], leading top pT - ${p_{{T}}}^{t,1}$ [bins 17-24], leading top rapidity - $|y^{t,1}|$ [bins 25-32], subleading top pT - ${p_{{T}}}^{t,2}$ [bins 33-39], subleading top rapidity - $|y^{t,2}|$ [bins 40-46], ttbar mass - $m^{t\bar{t}}$ [bins 48-57], ttbar pT - ${p_{{T}}}^{t\bar{t}}$ [bins 58-63], ttbar rapidity - $|y^{t\bar{t}}|$ [bins 66-71], chi ttbar ${\chi}^{t\bar{t}}$ - [bins 74-80], delta phi ttbar - ${\Delta\phi}(t_1,t_2)$ [bins 81-84], ttbar out of plane momentum - $|p_{out}^{t\bar{t}}|$ [bins 85-91], yboost ttbar - $|y_{B}^{t\bar{t}}|$ [92-98], cos theta star - $|{\cos{\theta}^{\star}}|$ [bins 99-104], HT ttbar $H_{T}^{t\bar{t}}$ [bins 105-114].

Statistical correlation matrix for the normalized differential cross-section of all 15 variables at parton level. The observables are arranged as follows: random top pT - ${p_{{T}}}^{t}$ [bins 1-8], random top rapidity - $|y^{t}|$ [bins 9-16], leading top pT - ${p_{{T}}}^{t,1}$ [bins 17-24], leading top rapidity - $|y^{t,1}|$ [bins 25-32], subleading top pT - ${p_{{T}}}^{t,2}$ [bins 33-39], subleading top rapidity - $|y^{t,2}|$ [bins 40-46], ttbar mass - $m^{t\bar{t}}$ [bins 48-57], ttbar pT - ${p_{{T}}}^{t\bar{t}}$ [bins 58-63], ttbar rapidity - $|y^{t\bar{t}}|$ [bins 66-71], chi ttbar ${\chi}^{t\bar{t}}$ - [bins 74-80], delta phi ttbar - ${\Delta\phi}(t_1,t_2)$ [bins 81-84], ttbar out of plane momentum - $|p_{out}^{t\bar{t}}|$ [bins 85-91],yboost ttbar - $|y_{B}^{t\bar{t}}|$ [92-98], cos theta star - $|{\cos{\theta}^{\star}}|$ [bins 99-104], HT ttbar $H_{T}^{t\bar{t}}$ [bins 105-114].

Measured cross sections for isolated-photon plus jet production as a function of $m^{\gamma-\rm jet}$.

Measured cross sections for isolated-photon plus jet production as a function of $|\cos\theta^{\star}|$.

Transverse mass mT in the llnunu search for the muon channel.

Upper limits at 95% CL on the cross section times branching ratio as a function of the heavy resonance mass mH for the ggF production mode

Upper limits at 95% CL on the cross section times branching ratio as a function of the heavy resonance mass mH for the VBF production mode

Upper limits at 95% CL on the cross section for the ggF production model times branching ratio as a function of mH for an additioinal heavy scalar assuming a width of 1% of mH

Upper limits at 95% CL on the cross section for the ggF production model times branching ratio as a function of mH for an additioinal heavy scalar assuming a width of 5% of mH

Upper limits at 95% CL on the cross section for the ggF production model times branching ratio as a function of mH for an additioinal heavy scalar assuming a width of 10% of mH

Upper limits at 95% CL on the cross section times branching ratio for a KK graviton produced with k/M_{PI} = 1.

Upper limits on Wprime to W h production cross section x branching fraction in pb

Upper limits for the scaling factor of the production cross section for V’ times its branching fraction to Wh/Zh in Model A.

Upper limits for the scaling factor of the production cross section for V’ times its branching fraction to Wh/Zh in Model A.

Upper limits on A to Z h production cross section x branching fraction in pb (gluon fusion production)

Upper limits on A to Z h production cross section x branching fraction in pb (gluon fusion production)

Upper limits on A to Z h production cross section x branching fraction in pb ( production with associated b-quarks)

Upper limits on A to Z h production cross section x branching fraction in pb ( production with associated b-quarks)

Acceptance * Reconstruction efficiency for pp-> Zprime

Acceptance * Reconstruction efficiency for pp-> Zprime

Acceptance * Reconstruction efficiency for pp-> Zprime

Acceptance * Reconstruction efficiency for pp-> Zprime

Acceptance * Reconstruction efficiency for pp-> Wprime

Acceptance * Reconstruction efficiency for pp-> Wprime

Acceptance * Reconstruction efficiency for pp-> A (gluon fusion)

Acceptance * Reconstruction efficiency for pp-> A (gluon fusion)

Acceptance * Reconstruction efficiency for pp-> A (gluon fusion)

Acceptance * Reconstruction efficiency for pp-> A (gluon fusion)

Acceptance * Reconstruction efficiency for pp-> A (b-quark associated)

Acceptance * Reconstruction efficiency for pp-> A (b-quark associated)

Acceptance * Reconstruction efficiency for pp-> A (b-quark associated)

Acceptance * Reconstruction efficiency for pp-> A (b-quark associated)

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 10%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 10%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 20%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 20%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 30%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 30%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 40%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 40%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 50%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 50%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 60%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 60%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 70%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 70%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 80%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 80%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 90%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 90%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 1% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 1% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 2% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 2% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 3% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 3% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 4% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 4% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 5% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 5% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 6% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 6% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 7% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 7% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 8% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 8% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 9% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 9% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 10% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 10% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 11% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 11% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.

Event distributions of mT,Vh for the 0-lepton channel in the resolved 1-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.

Event distributions of mT,Vh for the 0-lepton channel in the resolved 2-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.

Event distributions of m,Vh for the 1-lepton channel in the resolved 1-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.

Event distributions of m,Vh for the 1-lepton channel in the resolved 2-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.

Event distributions of mT,Vh for the 2-lepton channel in the resolved 1-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.

Event distributions of m,Vh for the 2-lepton channel in the resolved 2-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.

Event distributions of mT,Vh for the 0-lepton channel in the boosted 1-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.

Event distributions of mT,Vh for the 0-lepton channel in the boosted 2-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.

Event distributions of m,Vh for the 1-lepton channel in the boosted 1-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.

Event distributions of m,Vh for the 1-lepton channel in the boosted 2-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.

Event distributions of m,Vh for the 2-lepton channel in the boosted 1-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.

Event distributions of m,Vh for the 2-lepton channel in the boosted 2-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.