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.

Measured differential cross section with associated uncertainties as a function of COS(THETA*). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of DELTAYRAP(2GAMMA). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of MULT(JET,PT>30 GEV). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of MULT(JET,PT>50 GEV). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of PT(JET1). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of PT(JET2). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of HT. Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of YRAP(JET1). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of YRAP(JET2). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of M(2JET). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of DELTAYRAP(2JET). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of ABSDPHI(2JET). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of DPHI(2JET). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of PT(2GAMMA2JET). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of DPHI(2GAMMA,2JET). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of TAUJET. Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of SUM(TAUJET). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of PT(2GAMMA) [NJET=0,PT>30 GEV]. Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of PT(2GAMMA) [NJET=1,PT>30 GEV]. Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of PT(2GAMMA) [NJET=2,PT>30 GEV]. Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of PT(2GAMMA) [NJET>=3,PT>30 GEV]. Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

The measured cross sections or cross section limits of the diphoton, VBF-enhanced, Nlepton $\geq$ 1, high $E_{T}^{miss}$, and ttH-enhanced fiducial regions are shown.

Measured differential cross section with associated uncertainties as a function of diphoton transverse momentum in bins of ABS(COS(THETA*)). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.Each systematic uncertainty sources is fully uncorrelated with the other sources.

Non-perturbative correction factors in percent accounting for the impact of hadronisation and the underlying event activity for all measured variables and fiducial regions. Regions of phase space where no reliable estimate could be obtained are listed as 100 without uncertainties. Uncertainties are evaluated by deriving these factors using different generators and tunes as described in the text. No factor are given for the Nlepton $\geq$ 1 and High-$E_{T}^{miss}$ fiducial regions as the gluon fusion contamination in both is negligible.

Isolation efficiencies in percent for gluon fusion $H\rightarrow\gamma\gamma$ for each fiducial region/variable bin measured in this analysis. The isolation efficiency is defined as the probability for both photons to fulfil the isolation criteria (as described in Section 9.1) for events that pass the diphoton kinematic criteria. Regions of phase space where no reliable estimate could be obtained are listed as 100 without uncertainties. Uncertainties are assigned in the same way as for the non-perturbative correction factors: by varying the fragmentation and underlying event modelling. These factors can be multiplied by the kinematic acceptance factors (see Table 29) to extrapolate an inclusive gluon fusion Higgs prediction to the fiducial volume used in this analysis. No factors for the Nlepton $\geq$ 1 and High $E_{T}^{miss}$ fiducial regions are provided as the gluon fusion contamination is negligible.

Combined non-perturbative (Table 27) and particle-level isolation correction factors (Table 28) in percent accounting for the impact of hadronisation and the underlying event activity for all measured variables and fiducial regions. Regions of phase space where no reliable estimate could be obtained are listed as 100 without uncertainties. The uncertainties on the combined values properly take into account the correlations between both multiplicative factors.

Diphoton kinematic acceptances in percent for gluon-gluon fusion for the diphoton fiducial region and all differential variable bins studied in this paper, defined as the probability to fulfill the diphoton kinematic criteria: $p_{T}$/$m_{\gamma\gamma}$ < 0.35 (0.25) for the leading (subleading) photon and $|\eta_{\gamma\gamma}|$ < 2.37. The factors are evaluated using the Powheg NNLOPSevent generator. Uncertainties are taken from PDF variations. QCD scale variations have a negligible impact on these factors. The range of each bin is given in Table 26.

observed statistical correlations between pTyy, Njets, mjj, |DeltaPhijj| and pTj1

ggH default MC + XH predictions

XH ( = VBF + VH + ttH + bbH ) MC predictions

Best-fit values and uncertainties of the production-mode cross sections times branching ratio.

Best-fit values and uncertainties of the simplified template cross sections times branching ratio.

Observed correlations between the measured simplified template cross sections, including both the statistical and systematic uncertainties.

Best-fit values and uncertainties of the simplified template cross sections times branching ratio.

Observed correlations between the measured simplified template cross sections, including both the statistical and systematic uncertainties.

Observed correlations between the measured simplified template cross sections, including both the statistical and systematic uncertainties.

$p_{T}^{t,2}$ 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.

The observed values of Sigma*BR(H->ZZ*), the SM expected cross section sBRsm and their ratio Sigma*BR/(Sigma*BR)_SM for the inclusive production and in each Stage-0 and reduced Stage-1 production bin for an integrated luminosity of 36.1/fb and at sqrt(s)=13 TeV. The bbH contribution is considered as a part of the ggF production bins. The upper limits correspond to the 95% CL obtained with pseudo-experiments using the CL_s method. The uncertainties are given as (stat.)+(exp.)+(th.) for Stage 0 and as (stat.)+(syst.) for reduced Stage 1. Values without uncertainity are 95% CL upper limits.

Signal acceptance obtained as the ratio of the number of simulated signal events satisfying the event selection criteria in each reconstructed event category over the total number of events generated in the phase space specified by a given reduced Stage-1 ggF production bin. Results are obtained in bins of BDT discriminants using coarse binning with several bins merged into one. Values less than 0.0001 are set to 0.

Signal acceptance obtained as the ratio of the number of simulated signal events satisfying the event selection criteria in each reconstructed event category over the total number of events generated in the phase space specified by the given reduced Stage-1 VBF and VH production bins. Results are obtained in bins of BDT discriminants using coarse binning with several bins merged into one. Values less than 0.0001 are set to 0.

The signal strengths mu for the inclusive production and in each Stage-0 and reduced Stage-1 production bin for an integrated luminosity of 36.1/fb and at sqrt(s)=13 TeV. The bbH contribution is considered as a part of the ggF production bins. The upper limits correspond to the 95% CL obtained with pseudo-experiments using the CL_s method. The uncertainties are given as (stat.)+(exp.)+(th.) for Stage 0 and as (stat.)+(syst.) for reduced Stage 1. Values without uncertainity are 95% CL upper limits.

Signal acceptance (in percent) obtained as the ratio of the number of simulated signal events satisfying the event selection criteria in each reconstructed event category to the total number of generated events, as predicted by the MadGraph5_aMC@NLO generator assuming the SM coupling tensor structure or the BSM tensor structure with ($\kappa_{SM}$ = 1, | $\kappa_{AVV}$ | $\neq$ 0).

Number of expected ggF Higgs boson events for an integrated luminosity of $\mathcal L=36.1 \text{fb}^{-1}$ and at $\sqrt{\mathrm{s}}=13$ TeV, as predicted by the MadGraph5_aMC@NLO generator assuming the SM coupling tensor structure or the BSM tensor structure with ($\kappa_{SM}=1$, $|\kappa_{Avv}|=6$). The highest-order SM predicition for the sum of the ggF, ttH and bbH contributions is also shown for comparison.

Number of expected VBF and VH Higgs boson events for an integrated luminosity of $\mathcal L=36.1 \text{fb}^{-1}$ and at $\sqrt{\mathrm{s}}=13$ TeV, as predicted by the MadGraph5_aMC@NLO generator assuming the SM coupling tensor structure or the BSM tensor structure with ($\kappa_{SM}=1$, $|\kappa_{Avv}|=5$). The highest-order SM predicition for the sum of the VBF and VH contributions is also shown for comparison.

Expected Correlation Matrix for Stage 0

Observed Correlation Matrix for Stage 0. As upper limits are derived for ttH and VH POIs using the observed data, the corresponding terms inside the matrix are set to zero.

Expected Correlation Matrix for Reduced Stage 1

Observed Correlation Matrix for Reduced Stage 1. As upper limits are derived for ttH and VH POIs using the observed data, the corresponding terms inside the matrix are set to zero.

Expected Covariance Matrix for Stage 0

Observed Covariance Matrix for Stage 0. As upper limits are derived for ttH and VH POIs using the observed data, the corresponding terms inside the matrix are set to zero.

Expected Covariance Matrix for Reduced Stage 1

Observed Covariance Matrix for Reduced Stage 1. As upper limits are derived for ttH and VH POIs using the observed data, the corresponding terms inside the matrix are set to zero.

Likelihood contours at 68% CL in the (Sigma_ggF*B , Sigma_VBF*B ) plane

Likelihood contours at 95% CL in the (Sigma_ggF*B , Sigma_VBF*B ) plane

Expected two-dimensional negative log-likelihood scans for $\kappa_{HVV}$ versus $\kappa_{AVV}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The couplings $\kappa_{Hgg}$ and $\kappa_{SM}$ are fixed to the SM value of one in the fit. The 95% CL exclusion limits are shown.

Observed two-dimensional negative log-likelihood scans for $\kappa_{HVV}$ versus $\kappa_{AVV}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The couplings $\kappa_{Hgg}$ and $\kappa_{SM}$ are fixed to the SM value of one in the fit. The 95% CL exclusion limits are shown.

Expected two-dimensional negative log-likelihood scans for $\kappa_{HVV}$ versus $\kappa_{AVV}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The coupling $\kappa_{Hgg}$ is fixed to the SM value of one in the fit. The coupling $\kappa_{SM}$ is left as a free parameter of the fit. The 95% CL exclusion limits are shown.

Observed two-dimensional negative log-likelihood scans for $\kappa_{HVV}$ versus $\kappa_{AVV}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The coupling $\kappa_{Hgg}$ is fixed to the SM value of one in the fit. The coupling $\kappa_{SM}$ is left as a free parameter of the fit. The 95% CL exclusion limits are shown.

Expected two-dimensional negative log-likelihood scans for $\kappa_{HVV}$ versus $\kappa_{SM}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The 95% CL exclusion limits are shown.

Observed two-dimensional negative log-likelihood scans for $\kappa_{HVV}$ versus $\kappa_{SM}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The 95% CL exclusion limits are shown.

Expected two-dimensional negative log-likelihood scans for $\kappa_{AVV}$ versus $\kappa_{SM}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The 95% CL exclusion limits are shown.

Observed two-dimensional negative log-likelihood scans for $\kappa_{AVV}$ versus $\kappa_{SM}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The 95% CL exclusion limits are shown.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.

Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.

Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.

Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.

Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.

Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.

Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.

Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.

Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.

Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.

Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.

Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.

Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.

Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.

Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.

Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.

Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.

Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.

Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.

Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.

Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.

Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Model dependent upper limits on cross-section (fb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Model dependent upper limits on cross-section (pb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Model dependent upper limits on cross-section (pb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Model dependent upper limits on cross-section (pb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Model dependent upper limits on cross-section (pb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.

Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.

Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.

Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.

Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.

Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.

Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.

Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.

Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.

Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.

The generator-level acceptance after reconstruction, for selecting and reconstructing charginos as a function of the chargino $eta$ and chargino decay radius (at generator level).

The generator-level acceptance for charginos produced in the electroweak channel as a function of the chargino $eta$ and chargino decay radius (at generator level).

The generator-level acceptance for charginos produced in the electroweak channel as a function of the chargino $eta$ and chargino decay radius (at generator level).

The generator-level acceptance for charginos produced in the electroweak channel as a function of the chargino $eta$ and chargino decay radius (at generator level).

The generator-level acceptance for charginos produced in the electroweak channel as a function of the chargino $eta$ and chargino decay radius (at generator level).

The generator-level acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.

The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the electroweak channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.

The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the electroweak channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.

The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the electroweak channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.

The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the electroweak channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.

The generator-level acceptance after reconstruction, for selecting and reconstructing charginos as a function of the chargino $\eta$ and chargino decay radius (at generator level).

The generator-level acceptance for charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level).

The generator-level acceptance for charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level).

The generator-level acceptance for charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level).

The generator-level acceptance for charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level).

The generator-level acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.

The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.

The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.

The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.

The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.

Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.

Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.

Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.

Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.

Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.

Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.

Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.

Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.

Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.

Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.

The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.

The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.

The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.

The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.

The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.

The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.

The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.

The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.

The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.

The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.

Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.

Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.

Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.

Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.

Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.

Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anticorrelation between different backgrounds.

Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anti-correlation between different backgrounds.

Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anti-correlation between different backgrounds.

Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anti-correlation between different backgrounds.

Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anti-correlation between different backgrounds.

Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracket background events is small.

Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracklet background events is small.

Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracklet background events is small.

Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracklet background events is small.

Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracklet background events is small.

Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.

Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.

Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.

Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.

Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.

Observed and expected background and signal effective mass distributions for SR4j-2200. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 800 GeV is shown.

Observed and expected background and signal effective mass distributions for SR6j-2600. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.

Observed and expected background and signal effective mass distributions for SR2jB-2400. For signal, a gluino onestep decay model where gluinos have mass of 1600 GeV, the chargino1 has mass of 1590 GeV and the neutralino1 has mass of 60 GeV is shown.

Observed and expected background and signal effective mass distributions for SR2j-1200. For signal, a squark direct decay model where squarks have mass of 900 GeV and the neutralino1 has mass of 500 GeV is shown.

Observed and expected background and signal effective mass distributions for SR2j-1600. For signal, a squark direct decay model where squarks have mass of 1200 GeV and the neutralino1 has mass of 500 GeV is shown.

Observed and expected background and signal effective mass distributions for SR2j-2000. For signal, a squark direct decay model where squarks have mass of 1200 GeV and the neutralino1 has mass of 0 GeV is shown.

Observed and expected background and signal effective mass distributions for SR2j-2400. For signal, a squark direct decay model where squarks have mass of 1500 GeV and the neutralino1 has mass of 0 GeV is shown.

Observed and expected background and signal effective mass distributions for SR2j-3600. For signal, a squark direct decay model where squarks have mass of 1200 GeV and the neutralino1 has mass of 0 GeV is shown.

Observed and expected background and signal effective mass distributions for SR2jB-1600. For signal, a gluino onestep decay model where gluinos have mass of 1600 GeV, the chargino1 has mass of 1590 GeV and the neutralino1 has mass of 60 GeV is shown.

Observed and expected background and signal effective mass distributions for SR3j-1300. For signal, a squark direct decay model where squarks have mass of 600 GeV and the neutralino1 has mass of 595 GeV is shown.

Observed and expected background and signal effective mass distributions for SR4j-1400. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 0 GeV is shown.

Observed and expected background and signal effective mass distributions for SR4j-1800. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 0 GeV is shown.

Observed and expected background and signal effective mass distributions for SR4j-2600. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 0 GeV is shown.

Observed and expected background and signal effective mass distributions for SR4j-3000. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 0 GeV is shown.

Observed and expected background and signal effective mass distributions for SR5j-1600. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.

Observed and expected background and signal effective mass distributions for SR5j-1700. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 0 GeV is shown.

Observed and expected background and signal effective mass distributions for SR5j-2000. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.

Observed and expected background and signal effective mass distributions for SR5j-2600. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.

Observed and expected background and signal effective mass distributions for SR6j-1200. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.

Observed and expected background and signal effective mass distributions for SR6j-1800. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.

Observed and expected background and signal effective mass distributions for SR6j-2200. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.

Observed 95% CL upper limit on the signal cross-section from searches in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from Meff-based searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from Meff-based searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from RJR-based searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from RJR-based searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.

Observed 95% CL upper limit on the signal cross-section from searches in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from Meff-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from Meff-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from RJR-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from RJR-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.

Observed 95% CL upper limit on the signal cross-section from searches in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from Meff-based searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from Meff-based searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from RJR-based searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from RJR-based searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.

Observed 95% CL upper limit on the signal cross-section from Meff-based searches in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from Meff-based searches on the squark mass and the mass gap ratio x in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from Meff-based searches on the squark mass and the mass gap ratio x in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.

Observed 95% CL upper limit on the signal cross-section from searches in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from Meff-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from Meff-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from RJR-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from RJR-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.

Observed 95% CL upper limit on the signal cross-section from Meff-based searches in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from Meff-based searches on the gluino mass and the mass gap ratio x in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from Meff-based searches on the gluino mass and the mass gap ratio x in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.

Observed 95% CL upper limit on the signal cross-section from Meff-based searches in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate the second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from Meff-based searches on the gluino and second lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate the second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from Meff-based searches on the gluino and second lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate the second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z \tilde{\chi}_{1}^{0}$.

Observed 95% CL upper limit on the signal cross-section from Meff-based searches in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{q} \rightarrow q \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from Meff-based searches on the squark mass and the mass gap ratio x in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{q} \rightarrow q \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from Meff-based searches on the squark mass and the mass gap ratio x in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{q} \rightarrow q \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.

Observed 95% CL upper limit on the signal cross-section from Meff-based searches in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.

Expected 95% CL exclusion contours from Meff-based searches on the gluino mass and the mass gap ratio x in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.

Observed 95% CL exclusion contours from Meff-based searches on the gluino mass and the mass gap ratio x in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.

Observed 95% CL upper limit on the signal cross-section from Meff-based searches for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=0$ GeV.

Expected 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=0$ GeV.

Observed 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=0$ GeV.

Observed 95% CL upper limit on the signal cross-section from Meff-based searches for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=695$ GeV.

Expected 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=695$ GeV.

Observed 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=695$ GeV.

Observed 95% CL upper limit on the signal cross-section from Meff-based searches for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=995$ GeV.

Expected 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=995$ GeV.

Observed 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=995$ GeV.

Cut-flow of Meff-2j for three supersymmetric models: a gluino direct decay model where gluinos have mass of 2000 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events); and a squark direct decay model where squarks have mass of 1200 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 600 $\mathrm{\ Ge\kern -0.1em V}$ (20000 generated events); and a squark direct decay model where squarks have mass of 1500 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cut-flow of Meff-3j,4j for three supersymmetric models: a gluino direct decay model where gluinos have mass of 2000 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events); and a squark direct decay model where squarks have mass of 1200 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 600 $\mathrm{\ Ge\kern -0.1em V}$ (20000 generated events); and a squark direct decay model where squarks have mass of 1500 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cut-flow of Meff-5j,6j for three supersymmetric models: a gluino direct decay model where gluinos have mass of 2000 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events); and a squark direct decay model where squarks have mass of 1200 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 600 $\mathrm{\ Ge\kern -0.1em V}$ (20000 generated events); and a squark direct decay model where squarks have mass of 1500 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cut-flow for RJR-based SR's targeting squarks for SS direct model points. Expected yields are normalized to a luminosity of 36.1 fb$^{-1}$.

Cut-flow for RJR-based SR's targeting gluinos for GG direct model points. Expected yields are normalized to a luminosity of 36.1 fb$^{-1}$.

Cut-flow for RJR-based SR's targeting compressed mass-spectra signals for SS direct and GG direct model points. Expected yields are normalized to a luminosity of 36.1 fb$^{-1}$.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-1200.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-1600.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2000.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2400.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2800.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-3600.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2100.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-3j-1300.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-1000.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-1400.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-1800.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-2200.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-2600.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-3000.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-1700.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-1600.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-2000.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-2600.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-1200.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-1800.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-2200.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-2600.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2jB-1600.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2jB-2400.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S1a.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S1b.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S2a.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S2b.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S3a.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S3b.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S4.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C1.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C2.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C3.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C4.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C5.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G1a.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G1b.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G2a.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G2b.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G3a.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G3b.

Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G4.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-1200.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-1600.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2000.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2400.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2800.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-3600.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2100.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-3j-1300.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-1000.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-1400.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-1800.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-2200.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-2600.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-3000.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-5j-1700.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-5j-1600.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-5j-2000.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-5j-2600.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-6j-1200.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-6j-1800.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-6j-2200.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-6j-2600.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2jB-1600.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2jB-2400.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S1a.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S1b.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S2a.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S2b.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S3a.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S3b.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S4.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C1.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C2.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C3.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C4.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C5.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G1a.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G1b.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G2a.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G2b.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G3a.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G3b.

Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G4.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-1200.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-1600.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-2000.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-2400.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-2800.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-3600.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-2100.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-3j-1300.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-1000.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-1400.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-1800.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-2200.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-2600.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-3000.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-5j-1700.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-5j-1600.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-5j-2000.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-5j-2600.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-6j-1200.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-6j-1800.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-6j-2200.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-6j-2600.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2jB-1600.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2jB-2400.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S1a.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S1b.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S2a.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S2b.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S3a.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S3b.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S4.

Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-C1.