The statistical error per bin of Dalitz plot, for 3-hadron chains with mass below 0.59 GeV. Coordinates X = sqrt(3)(T0-T2)/sum(T) , Y = 3T1/sum(T) - 1. T0/T1/T2 stand for kinetic energy of hadrons in the rest frame of the triplet ( hadrons 0 and 2 form like-sign pair).

The bin-uncorrelated systematic error per bin of Dalitz plot, for 3-hadron chains with mass below 0.59 GeV. Coordinates X = sqrt(3)(T0-T2)/sum(T) , Y = 3T1/sum(T) - 1. T0/T1/T2 stand for kinetic energy of hadrons in the rest frame of the triplet ( hadrons 0 and 2 form like-sign pair).

The bin-correlated systematic error per bin of Dalitz plot, for 3-hadron chains with mass below 0.59 GeV. Coordinates X = sqrt(3)(T0-T2)/sum(T) , Y = 3T1/sum(T) - 1. T0/T1/T2 stand for kinetic energy of hadrons in the rest frame of the triplet ( hadrons 0 and 2 form like-sign pair).

Data minus non-Zjj backgrounds in the EW-enriched fiducial region, statistical errors included

Upper 95% CL limits on the Z' production cross-section times branching ratio to two electrons as a function of Z' pole mass.

Upper 95% CL limits on the Z' production cross-section times branching ratio to two muons as a function of Z' pole mass.

Upper 95% CL limits on the Z' production cross-section times branching ratio to two leptons as a function of Z' pole mass.

Upper 95% CL limits on the acceptance times Z' production cross-section times branching ratio to two leptons in the dielectron channel as a function of Z' pole mass. Expected limits in the dielectron channel for different widths with an applied mass window of two times the true width of the signal around the pole mass.

Upper 95% CL limits on the acceptance times Z' production cross-section times branching ratio to two leptons in the dielectron channel as a function of Z' pole mass. Observed limits in the dielectron channel for different widths with an applied mass window of two times the true width of the signal around the pole mass.

Upper 95% CL limits on the acceptance times Z' production cross-section times branching ratio to two leptons in the dimuon channel as a function of Z' pole mass. Expected limits in the dimuon channel for different widths with an applied mass window of two times the true width of the signal around the pole mass.

Upper 95% CL limits on the acceptance times Z' production cross-section times branching ratio to two leptons in the dimuon channel as a function of Z' pole mass. Observed limits in the dimuon channel for different widths with an applied mass window of two times the true width of the signal around the pole mass.

Upper 95% CL limits on the acceptance times Z' production cross-section times branching ratio to two leptons in the combined dilepton channel as a function of Z' pole mass. Expected limits in the dilepton channel for different widths with an applied mass window of two times the true width of the signal around the pole mass.

Upper 95% CL limits on the acceptance times Z' production cross-section times branching ratio to two leptons in the dilepton channel as a function of Z' pole mass. Observed limits in the dilepton channel for different widths with an applied mass window of two times the true width of the signal around the pole mass.

Measured $\gamma+c$ fiducial differential cross section as a function of $E_\text{T}^\gamma$ for $|\eta^\gamma|<1.37$.

Measured $\gamma+c$ fiducial differential cross section as a function of $E_\text{T}^\gamma$ for $1.56<|\eta^\gamma|<2.37$.

Measured ratio of the $\gamma+b$ fiducial differential cross section as a function of $E_\text{T}^\gamma$ for $|\eta^\gamma|<1.37$ to that for $1.56<|\eta^\gamma|<2.37$.

Measured ratio of the $\gamma+c$ fiducial differential cross section as a function of $E_\text{T}^\gamma$ for $|\eta^\gamma|<1.37$ to that for $1.56<|\eta^\gamma|<2.37$.

Two-body selection distribution of $E_{T,corr}^{miss}$ in $CR_{ttZ}$ after the background fits. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and detector-related systematic uncertainty. The rightmost bin of each plot includes overflow events.

Two-body selection distribution of $E_{T,corr}^{miss}$ in $CR_{VZ}$ after the background fits. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and detector-related systematic uncertainty. The rightmost bin of each plot includes overflow events.

Three-body selection distributions of $R_{p_{T}}$ in $CR^{3-body}_{t\bar{t}}$ after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the hatched bands represent the total statistical and detector-related systematic uncertainty. The rightmost bin of each plot includes overflow events.

Three-body selection distributions of $cos\theta_{b}$ in $CR^{3-body}_{VV-DF}$ after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the hatched bands represent the total statistical and detector-related systematic uncertainty. The rightmost bin of each plot includes overflow events.

Three-body selection distributions of $M_{\Delta}^{R}$ in $CR^{3-body}_{VV-SF}$ after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the hatched bands represent the total statistical and detector-related systematic uncertainty. The rightmost bin of each plot includes overflow events.

Four-body selection background fit results for the CRs of the SR$^{4-body}$ background fit. The nominal expectations from MC simulation are given for comparison for those backgrounds ($t\bar t$, $VV$ and $Z_{\tau\tau}$) that are normalised to data in dedicated CRs. Combined statistical and systematic uncertainties are given. Uncertainties on the predicted background event yields are quoted as symmetric except where the negative uncertainty extends to zero predicted events, in which case the negative uncertainty is truncated.

Four-body selection distributions of the $p_{T}(j_1)$ in CR$^{4-body}_{t\bar{t}}$ after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and detector-related systematic uncertainty. The rightmost bin of each plot includes overflow events.

Four-body selection distributions of the $R_{2\ell}$ in CR$^{4-body}_{VV}$ after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and detector-related systematic uncertainty. The rightmost bin of each plot includes overflow events.

Four-body selection distributions of the $E^{miss}_{T}$ in CR$^{4-body}_{Z\tau\tau}$ after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and detector-related systematic uncertainty. The rightmost bin of each plot includes overflow events.

Two-body selection background fit results for SRA$^{2-body}_{180}$ and SRB$^{2-body}_{140}$. The nominal expectations from MC simulation are given for comparison for those backgrounds ($t\bar t$, $t\bar t Z$) that are normalised to data in dedicated CRs. The Others category contains the contributions from $t\bar t W$, $t\bar t h$, $t\bar t WW$, $t\bar t t$, $t\bar t t\bar t$, $Wh$, $ggh$ and $Zh$ production. Combined statistical and systematic uncertainties are given. Entries marked $--$ indicate a negligible background contribution. Uncertainties on the predicted background event yields are quoted as symmetric except where the negative uncertainty extends to zero predicted events, in which case the negative uncertainty is truncated.

Two-body selection background fit results for SRC$^{2-body}_{110}$. The nominal expectations from MC simulation are given for comparison for those backgrounds ($t\bar t$, $t\bar t Z$) that are normalised to data in dedicated CRs. The Others category contains the contributions from $t\bar t W$, $t\bar t h$, $t\bar t WW$, $t\bar t t$, $t\bar t t\bar t$, $Wh$, $ggh$ and $Zh$ production. Combined statistical and systematic uncertainties are given. Entries marked $--$ indicate a negligible background contribution. Uncertainties on the predicted background event yields are quoted as symmetric except where the negative uncertainty extends to zero predicted events, in which case the negative uncertainty is truncated.

Two-body selection distributions of $m_{T2}^{ll}$ for events satisfying the selection criteria of the six SRs, except for the one on $m_{T2}^{ll}$, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows indicate the signal region selection criteria.

Two-body selection distributions of $m_{T2}^{ll}$ for events satisfying the selection criteria of the six SRs, except for the one on $m_{T2}^{ll}$, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows indicate the signal region selection criteria.

Two-body selection distributions of $m_{T2}^{ll}$ for events satisfying the selection criteria of the six SRs, except for the one on $m_{T2}^{ll}$, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows indicate the signal region selection criteria.

Two-body selection distributions of $m_{T2}^{ll}$ for events satisfying the selection criteria of the six SRs, except for the one on $m_{T2}^{ll}$, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows indicate the signal region selection criteria.

Two-body selection distributions of $m_{T2}^{ll}$ for events satisfying the selection criteria of the six SRs, except for the one on $m_{T2}^{ll}$, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows indicate the signal region selection criteria.

Two-body selection distributions of $m_{T2}^{ll}$ for events satisfying the selection criteria of the six SRs, except for the one on $m_{T2}^{ll}$, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows indicate the signal region selection criteria.

Three-body selection distributions of $R_{p_{T}}$ in same-flavour events that satisfy all the SR$^{3-body}_{W}$ selection criteria except for the one on $R_{p_{T}}$, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the hatched bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows indicate the signal region selection criteria.

Three-body selection distributions of $R_{p_{T}}$ in different-flavour events that satisfy all the SR$^{3-body}_{W}$ selection criteria except for the one on $R_{p_{T}}$, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the hatched bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows indicate the signal region selection criteria.

Three-body selection distributions of $M_{\Delta}^{R}$ in same-flavour events that satisfy all the SR$^{3-body}_{t}$ selection criteria except for the one on $M_{\Delta}^{R}$, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the hatched bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows indicate the signal region selection criteria.

Three-body selection distributions of $M_{\Delta}^{R}$ in different-flavour events that satisfy all the SR$^{3-body}_{t}$ selection criteria except for the one on $M_{\Delta}^{R}$ after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the hatched bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows indicate the signal region selection criteria.

Four-body selection distributions of $R_{2\ell 4j}$ for events satisfying all the SR$^{4-body}$ selections but for the one on the variable shown in the figure, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows indicate the signal region selection criteria.

Four-body selection distributions of $R_{2\ell}$ for events satisfying all the SR$^{4-body}$ selections but for the one on the variable shown in the figure, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows indicate the signal region selection criteria.

Four-body selection background fit results for SR$^{4-body}$. The nominal expectations from MC simulation are given for comparison for those backgrounds ($t \bar t$, $VV$ and $Z_{\tau\tau}$) that are normalised to data in dedicated CRs. The Others category contains the contributions from $t\bar t W$, $t\bar t h$, $t\bar t WW$, $t\bar t $, $t\bar t t\bar t$ , $Wh$, $ggh$ and $Zh$ production. Combined statistical and systematic uncertainties are given. Uncertainties on the predicted background event yields are quoted as symmetric except where the negative uncertainty extends to zero predicted events, in which case the negative uncertainty is truncated.

Observed exclusion limits at 95% CL for a simplified model assuming $\tilde{t}_{1}$ pair production, decaying via $\tilde{t}_{1}\rightarrow t+\tilde{\chi}_{1}^{0}$ with 100% branching ratio.

Expected exclusion limits at 95% CL for a simplified model assuming $\tilde{t}_{1}$ pair production, decaying via $\tilde{t}_{1}\rightarrow t+\tilde{\chi}_{1}^{0}$ with 100% branching ratio.

Illustration of the best expected signal region per signal grid point for the simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t\tilde{\chi}^0_1$ with 100% branching ratio.

Two-body selection background fit results for the VR in the SRA$^{2-body}$ and SRB$^{2-body}_{140}$ background-only fit. The nominal expectations from MC simulation are given for comparison for those backgrounds ($t\bar t$, $t\bar t Z$) that are normalised to data in dedicated CRs. The Others category contains the contributions from $t\bar t W$, $t\bar t h$, $t\bar t WW$, $t\bar t t$, $t\bar t t\bar t$, $Wh$, $ggh$ and $Zh$ production. Combined statistical and systematic uncertainties are given. Uncertainties on the predicted background event yields are quoted as symmetric except where the negative uncertainty reaches down to zero predicted events, in which case the negative uncertainty is truncated.

Two-body selection background fit results for the VR in the SRC$^{2-body}_{110}$ background-only fit. The nominal expectations from MC simulation are given for comparison for those backgrounds ($t\bar t$, $t\bar t Z$) that are normalised to data in dedicated CRs. The Others category contains the contributions from $t\bar t W$, $t\bar t h$, $t\bar t WW$, $t\bar t t$, $t\bar t t\bar t$, $Wh$, $ggh$ and $Zh$ production. Combined statistical and systematic uncertainties are given. Uncertainties on the predicted background event yields are quoted as symmetric except where the negative uncertainty reaches down to zero predicted events, in which case the negative uncertainty is truncated.

Three-body selection background fit results for the VRs in the SR$^{3-body}_{W}$ and SR$^{3-body}_{t}$ background-only fits. The nominal expectations from MC simulation are given for comparison for those backgrounds ($t\bar t$, $VV$ and $Z_{\tau\tau}$) that are normalised to data in dedicated CRs. The Others category contains the contributions from $t\bar t W$, $t\bar t h$, $t\bar t WW$, $t\bar t $, $t\bar t t\bar t$ , $Wh$, $ggh$ and $Zh$ production. Combined statistical and systematic uncertainties are given. Uncertainties on the predicted background event yields are quoted as symmetric except where the negative uncertainty reaches down to zero predicted events, in which case the negative uncertainty is truncated.

Four-body selection background fit results for the VRs in the SR$^{4-body}$ background-only fit. The nominal expectations from MC simulation are given for comparison for those backgrounds ($t\bar t$, $VV$ and $Z_{\tau\tau}$) that are normalised to data in dedicated CRs. The Others category contains the contributions from $t\bar t W$, $t\bar t h$, $t\bar t WW$, $t\bar t $, $t\bar t t\bar t$ , $Wh$, $ggh$ and $Zh$ production. Combined statistical and systematic uncertainties are given. Uncertainties on the predicted background event yields are quoted as symmetric except where the negative uncertainty reaches down to zero predicted events, in which case the negative uncertainty is truncated.

Two-body selection distribution of $E_{T}^{miss}$ for events satisfying all the VR$^{2-body}_{VV-DF}$ selections, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events.

Two-body selection distribution of $m_{T2}^{ll}$ for events satisfying all the VR$^{2-body}_{t\bar{t}}$ selections, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events.

Two-body selection distribution of $m_{T2}^{ll}$ for events satisfying all the VR$^{2-body}_{t\bar{t},3j}$ selections, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events.

Three-body selection distributions of $M_{\Delta}^{R}$ in events that satisfy all the $VR^{3-body}_{t\bar{t}}$ selection criteria after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the hatched bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events.

Three-body selection distributions of $R_{p_{T}}$ in events that satisfy all the $VR^{3-body}_{VV-SF}$ selection criteria after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the hatched bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events.

Three-body selection distributions of $R_{p_{T}}$ in events that satisfy all the $VR^{3-body}_{VV-DF}$ selection criteria after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the hatched bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events.

Four-body selection distributions of $R_{2\ell 4j}$ for events with at least 2 jets (with the two leading required not be identified as $b$-jets), a leading jet $p_{T} >150$ GeV and satisfying the SR$^{4-body}$ requirements on the leptons. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and systematic uncertainty. The fake and non-prompt lepton backgrounds are estimated from data, the other backgrounds are estimated from MC simulation with a background fit as described in Section6. The rightmost bin of each plot includes overflow events. In order to enhance the contribution from fake or non-prompt leptons, the lepton pair is required to have the same charge.

Four-body selection distributions of $R_{2\ell}$ for events with at least 2 jets (with the two leading required not be identified as $b$-jets), a leading jet $p_{T} >150$ GeV and satisfying the SR$^{4-body}$ requirements on the leptons. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and systematic uncertainty. The fake and non-prompt lepton backgrounds are estimated from data, the other backgrounds are estimated from MC simulation with a background fit as described in Section6. The rightmost bin of each plot includes overflow events. In order to enhance the contribution from fake or non-prompt leptons, the lepton pair is required to have the same charge.

Four-body selection distributions of $E^{miss}_{T}$ for events satisfying all the VR$^{4-body}_{t\bar{t}}$ selections, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total statistical and systematic uncertainty. The fake and non-prompt lepton backgrounds are estimated from data, the other backgrounds are estimated from MC simulation with a background fit as described in Section 6}. The rightmost bin of each plot includes overflow events.

Upper limits on cross-sections (in fb) at 95% CL for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t^{}(*)\tilde{\chi}^{0}_1$ with 100% branching ratio.

Upper limits on cross-sections (in fb) at 95% CL for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b\tilde{\chi}^{\pm}_1$ with 100% branching ratio. The lightest chargino mass is assumed to be close to the stop mass, $m_{\tilde{\chi}^{\pm}_1} = m_{\tilde{t}_1}-10$ GeV.

Upper limits on cross-sections (in fb) at 95% CL for each signal model, assuming the pMSSM model described in the text. Pair production of $\tilde{t}_{1}$ and $\tilde{b}_{1}$ are considered. Limits are set for both positive (top) and negative (bottom) values of $\mu$.

Upper limits on cross-sections (in fb) at 95% CL for each signal model, assuming the pMSSM model described in the text. Pair production of $\tilde{t}_{1}$ and $\tilde{b}_{1}$ are considered. Limits are set for both positive (top) and negative (bottom) values of $\mu$.

SRA$^{2-body}_{120,140}$ Different Flavour acceptance for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRA$^{2-body}_{120,140}$ Same Flavour acceptance for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRA$^{2-body}_{140,160}$ Different Flavour acceptance for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRA$^{2-body}_{140,160}$ Same Flavour acceptance for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRA$^{2-body}_{160,180}$ Different Flavour acceptance for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRA$^{2-body}_{160,180}$ Same Flavour acceptance for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRA$^{2-body}_{180}$ Different Flavour acceptance for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRA$^{2-body}_{180}$ Same Flavour acceptance for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRB$^{2-body}_{120,140}$ Different Flavour acceptance for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t\tilde{\chi}^0_1$ with 100% branching ratio.

SRB$^{2-body}_{120,140}$ SF acceptance for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t\tilde{\chi}^0_1$ with 100% branching ratio.

SRB$^{2-body}_{140}$ Different Flavour acceptance for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t\tilde{\chi}^0_1$ with 100% branching ratio.

SRB$^{2-body}_{140}$ SF acceptance for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t\tilde{\chi}^0_1$ with 100% branching ratio.

SRC$^{2-body}_{110}$ Different Flavour acceptance for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t\tilde{\chi}^0_1$ with 100% branching ratio.

SRC$^{2-body}_{110}$ SF acceptance for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t\tilde{\chi}^0_1$ with 100% branching ratio.

SR$^{3-body}_{W}$ Different Flavour acceptance for each signal model, assuming $\tilde{t}_{1}$ pair production, decaying via $\tilde{t}_{1}\rightarrow t+\tilde{\chi}_{1}^{0}$ with 100% branching ratio.

SR$^{3-body}_{W}$ SF acceptance for each signal model, assuming $\tilde{t}_{1}$ pair production, decaying via $\tilde{t}_{1}\rightarrow t+\tilde{\chi}_{1}^{0}$ with 100% branching ratio.

SR$^{3-body}_{t}$ Different Flavour acceptance for each signal model, assuming $\tilde{t}_{1}$ pair production, decaying via $\tilde{t}_{1}\rightarrow t+\tilde{\chi}_{1}^{0}$ with 100% branching ratio.

SR$^{3-body}_{t}$ SF acceptance for each signal model, assuming $\tilde{t}_{1}$ pair production, decaying via $\tilde{t}_{1}\rightarrow t+\tilde{\chi}_{1}^{0}$ with 100% branching ratio.

SR$^{4-body}$ acceptance for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b f f \prime \tilde{\chi}^0_1$ with 100% branching ratio.

SRA$^{2-body}_{120,140}$ Different Flavour efficiency for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRA$^{2-body}_{120,140}$ Same Flavour efficiency for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRA$^{2-body}_{140,160}$ Different Flavour efficiency for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRA$^{2-body}_{140,160}$ Same Flavour efficiency for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRA$^{2-body}_{160,180}$ Different Flavour efficiency for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRA$^{2-body}_{160,180}$ Same Flavour efficiency for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRA$^{2-body}_{180}$ Different Flavour efficiency for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRA$^{2-body}_{180}$ Same Flavour efficiency for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b \tilde{\chi}^{\pm}_1$ with 100% branching ratio.

SRB$^{2-body}_{120,140}$ Different Flavour efficiency for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t\tilde{\chi}^0_1$ with 100% branching ratio.

SRB$^{2-body}_{120,140}$ Same Flavour efficiency for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t\tilde{\chi}^0_1$ with 100% branching ratio.

SRB$^{2-body}_{140}$ Different Flavour efficiency for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t\tilde{\chi}^0_1$ with 100% branching ratio.

SRB$^{2-body}_{140}$ Same Flavour efficiency for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t\tilde{\chi}^0_1$ with 100% branching ratio.

SRC$^{2-body}_{110}$ Different Flavour efficiency for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t\tilde{\chi}^0_1$ with 100% branching ratio.

SRC$^{2-body}_{110}$ Same Flavour efficiency for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t\tilde{\chi}^0_1$ with 100% branching ratio.

SR$^{3-body}_{W}$ Different Flavour efficiency for each signal model, assuming $\tilde{t}_{1}$ pair production, decaying via $\tilde{t}_{1}\rightarrow t+\tilde{\chi}_{1}^{0}$ with 100% branching ratio.

SR$^{3-body}_{W}$ Same Flavour efficiency for each signal model, assuming $\tilde{t}_{1}$ pair production, decaying via $\tilde{t}_{1}\rightarrow t+\tilde{\chi}_{1}^{0}$ with 100% branching ratio.

SR$^{3-body}_{t}$ Different Flavour efficiency for each signal model, assuming $\tilde{t}_{1}$ pair production, decaying via $\tilde{t}_{1}\rightarrow t+\tilde{\chi}_{1}^{0}$ with 100% branching ratio.

SR$^{3-body}_{t}$ Same Flavour efficiency for each signal model, assuming $\tilde{t}_{1}$ pair production, decaying via $\tilde{t}_{1}\rightarrow t+\tilde{\chi}_{1}^{0}$ with 100% branching ratio.

SR$^{4-body}$ efficiency for each signal model, assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b f f \prime \tilde{\chi}^0_1$ with 100% branching ratio.

Distributions of the invariant mass of the Higgs boson candidates mh=m_jj with two b-tags in the SR for the third MET category that is used as input to the fit.

Distributions of the invariant mass of the Higgs boson candidates mh=m_J with two b-tags in the SR for the fourth MET category that is used as input to the fit.

Distributions of the invariant mass of the Higgs boson candidates mh=m_jj with one b-tag in the SR for the first MET category which is used as input to the fit.

Distributions of the invariant mass of the Higgs boson candidates mh=m_jj with one b-tag in the SR for the second MET category which is used as input to the fit.

Distributions of the invariant mass of the Higgs boson candidates mh=m_jj with one b-tag in the SR for the third MET category which is used as input to the fit.

Observed and predicted mTtot distribution in the b-tag category of the 2tau_h channel. Despite listing this as an exclusive final state (as there must be at least one b-jets), there is no explicit selection on the presence of additional light-flavour jets. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 300, 500 and 800 GeV and $\tan\beta$ = 10 in the hMSSM scenario are also provided.

Observed and predicted mTtot distribution for the b-inclusive selection in the 1l1tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. In the paper, the first bin is cut off at 60 GeV for aesthetics but contains underflows down to 50 GeV as in the HepData table. The last bin includes overflows. The prediction for a SSM Zprime with masses of 1500, 2000 and 2500 GeV are also provided.

Observed and predicted mTtot distribution for the b-inclusive selection in the 2tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The prediction for a SSM Zprime with masses of 1500, 2000 and 2500 GeV are also provided.

Observed and expected 95% CL upper limits on the b-associated Higgs boson production cross section times ditau branching fraction as a function of the boson mass.

Observed and expected 95% CL upper limits on the Drell Yan production cross section times ditau branching fraction as a function of the Zprime boson mass.

Observed and expected 95% CL upper limits on the Higgs boson production cross section times ditau branching fraction as a function of the boson mass and the relative strength of the b-associated production.

Ratio of the 95% CL upper limits on the production cross section times branching fraction for alternate Zprime models with respect to the SSM, both observed and expected are shown.

Acceptance, acceptance times efficiency and b-tag category fraction for a scalar boson produced by gluon-gluon fusion as a function of the scalar boson mass.

Acceptance, acceptance times efficiency and b-tag category fraction for a scalar boson produced by b-associated production as a function of the scalar boson mass.

Acceptance and acceptance times efficiency for a heavy gauge boson produced by Drell Yan as a function of the gauge boson mass.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Observed and expected 95% CL upper limits on the gluon-gluon fusion Higgs boson production cross section times ditau branching fraction as a function of the boson mass.