Comparison of the $m_{miss}$ shapes for the simulated signal events within the fiducial region and those outside it, after including the effect of PU protons as describe in the text, for a generated $m_{X}$ mass of 1000 GeV. The distributions are shown for single(+z)-single(−z) proton reconstruction categories.

Product of the acceptance times the combined reconstruction and identification efficiency, as a function of $m_{X}$ , for events generated inside the fiducial volume defined in Table 1. The curves shown panel display the different final states. The definition of the fiducial region and signal model used to estimate the acceptance is provided in the text.

Product of the acceptance times the combined reconstruction and identification efficiency, as a function of $m_{X}$ , for different proton reconstruction categories in the $Z \rightarrow \mu\mu $ analysis, and for events generated inside the fiducial volume defined in Table 1. The curves shown panel display the different final states. The definition of the fiducial region and signal model used to estimate the acceptance is provided in the text.

Distributions of the reconstructed proton $\xi$ in the negative arm from the proton mixing procedure with simulated MC events, are compared to data. The ee final states are shown.The ee events are displayed without the Z boson $p_T$ requirement.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed proton $\xi$ in the positive arm from the proton mixing procedure with simulated MC events, are compared to data. The ee final states are shown.The ee events are displayed without the Z boson $p_T$ requirement.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed di-proton rapidity from the proton mixing procedure with simulated MC events, are compared to data. The ee final states are shown.The ee events are displayed without the Z boson $p_T$ requirement.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed proton $\xi$ in the negative arm from the proton mixing procedure with simulated MC events, are compared to data. The $\mu\mu$ final states are shown.The $\mu\mu$ events are displayed without the Z boson $p_T$ requirement.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed proton $\xi$ in the positive arm from the proton mixing procedure with simulated MC events, are compared to data. The $\mu\mu$ final states are shown.The $\mu\mu$ events are displayed without the Z boson $p_T$ requirement.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed di-proton rapidity from the proton mixing procedure with simulated MC events, are compared to data. The $\mu\mu$ final states are shown.The $\mu\mu$ events are displayed without the Z boson $p_T$ requirement.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed proton $\xi$ in the negative arm from the proton mixing procedure with simulated MC events, are compared to data. The $\gamma$ final states are shown.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed proton $\xi$ in the positive arm from the proton mixing procedure with simulated MC events, are compared to data. The $\gamma$ final states are shown.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Distributions of the reconstructed di-proton rapidity from the proton mixing procedure with simulated MC events, are compared to data. The $\gamma$ final states are shown.For illustration, the simulated signal distributions are superimposed for various choices of $m_{X}$ , normalised to a generated fiducial cross section of 100 pb.

Validation of the background modelling method, using the $e\mu$ control sample. Selected $e\mu$ events are mixed with protons from $Z\rightarrow \mu \mu$ events with $p_{T}(Z)<10$ GeV to simulate the combinatorial background shape, while the data points are unaltered $e\mu$ events. The proton $\xi$ distribution for the positive CT-PPS arm is shown.

Validation of the background modelling method, using the $e\mu$ control sample. Selected $e\mu$ events are mixed with protons from $Z\rightarrow \mu \mu$ events with $p_{T}(Z)<10$ GeV to simulate the combinatorial background shape, while the data points are unaltered $e\mu$ events. The proton $\xi$ distribution for the negative CT-PPS arm is shown.

Validation of the background modelling method, using the $e\mu$ control sample. Selected $e\mu$ events are mixed with protons from $Z\rightarrow \mu \mu$ events with $p_{T}(Z)<10$ GeV to simulate the combinatorial background shape, while the data points are unaltered $e\mu$ events. The di-proton invariant mass is shown.

Validation of the background modelling method, using the $e\mu$ control sample. Selected $e\mu$ events are mixed with protons from $Z\rightarrow \mu \mu$ events with $p_{T}(Z)<10$ GeV to simulate the combinatorial background shape, while the data points are unaltered $e\mu$ events. The $m_{miss}$ is shown.

$m_{miss}$ distributions in the $pp\rightarrow ppZeeX$, with the protons reconstructed with the multi(+z)-multi(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow ppZeeX$, with the protons reconstructed with the multi(+z)-single(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow ppZeeX$, with the protons reconstructed with the single(+z)-multi(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow ppZeeX$, with the protons reconstructed with the single(+z)-single(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow ppZ\mu\mu X$, with the protons reconstructed with the multi(+z)-multi(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow ppZ\mu\mu X$, with the protons reconstructed with the multi(+z)-single(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow ppZ\mu\mu X$, with the protons reconstructed with the single(+z)-multi(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow ppZ\mu\mu X$, with the protons reconstructed with the single(+z)-single(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 1 pb.

$m_{miss}$ distributions in the $pp\rightarrow pp\gamma X$, with the protons reconstructed with the multi(+z)-multi(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 10 pb.

$m_{miss}$ distributions in the $pp\rightarrow pp\gamma X$, with the protons reconstructed with the multi(+z)-single(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 10 pb.

$m_{miss}$ distributions in the $pp\rightarrow pp\gamma X$, with the protons reconstructed with the single(+z)-multi(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 10 pb.

$m_{miss}$ distributions in the $pp\rightarrow pp\gamma X$, with the protons reconstructed with the single(+z)-single(-z)method. The background distributions are shown after the fit. The expectations for a signal with $m_{X} = 1000$ GeV are superimposed, where the fiducial production cross section is normalised to 10 pb.

Upper limits on the $pp\rightarrow ppZ/\gamma X$ cross section at 95% CL, as a function of $m_X$. The 68 and 95% central intervals of the expected limits are represented by the green and yellow bands, respectively, while the observed limit is superimposed as a curve. The plot corresponds to the $Z\rightarrow ee$ analysis.

Upper limits on the $pp\rightarrow ppZ/\gamma X$ cross section at 95% CL, as a function of $m_X$. The 68 and 95% central intervals of the expected limits are represented by the green and yellow bands, respectively, while the observed limit is superimposed as a curve. The plot corresponds to the $Z\rightarrow \mu\mu$ analysis.

Upper limits on the $pp\rightarrow ppZ/\gamma X$ cross section at 95% CL, as a function of $m_X$. The 68 and 95% central intervals of the expected limits are represented by the green and yellow bands, respectively, while the observed limit is superimposed as a curve. The plot corresponds to the $Z$ analysis.

Upper limits on the $pp\rightarrow ppZ/\gamma X$ cross section at 95% CL, as a function of $m_X$. The 68 and 95% central intervals of the expected limits are represented by the green and yellow bands, respectively, while the observed limit is superimposed as a curve. The plot corresponds to the $\gamma$ analysis.

Upper limits at 95% CL on $\sigma$B(pp→X→Y(bb)H) for combination as a function of m$_Y$.

Expected upper limits at 95% CL on the X → HH cross section as a function of mX from the combination of the three channels bbγγ, bbττ, and bbbb for an integrated luminosity of 3000 fb−1 with different assumptions on the systematic uncertainties.

Expected upper limits on the X → YH cross section times B(Y → bb) for mX ≤ 1000 GeV at 95 % CL as a function of m$_X$ and m$_Y$ from the combination of all considered channels projected to an integrated luminosity of 3000 fb$^{-1}$. Systematic uncertainties according to the ”S2” scenario are assumed.

Covariance matrix of absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$.

Covariance matrix of absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$.

Covariance matrix of absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{l})$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{l})$.

Covariance matrix of absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{l})$.

Covariance matrix of absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{l})$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{l})|$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{l})|$.

Covariance matrix of absolute cross section at particle level as a function of $|y(\text{t}_\text{l})|$.

Covariance matrix of absolute cross section at particle level as a function of $|y(\text{t}_\text{l})|$.

Absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at particle level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at particle level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at particle level as a function of $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of absolute cross section at particle level as a function of $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of absolute cross section at particle level as a function of $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at particle level as a function of Additional jets.

Absolute cross section at particle level as a function of Additional jets.

Covariance matrix of absolute cross section at particle level as a function of Additional jets.

Covariance matrix of absolute cross section at particle level as a function of Additional jets.

Absolute cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $p_\text{T}(b_\text{l})$.

Absolute cross section at particle level as a function of $p_\text{T}(b_\text{l})$.

Absolute cross section at particle level as a function of $p_\text{T}(b_\text{h})$.

Absolute cross section at particle level as a function of $p_\text{T}(b_\text{h})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{W1})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{W1})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{W2})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{W2})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{1})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{1})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{2})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{2})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{3})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{3})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{4})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{4})$.

Covariance matrix of absolute cross section at particle level as a function of Jet type vs. $p_\text{T}(\mathrm{jet})$.

Covariance matrix of absolute cross section at particle level as a function of Jet type vs. $p_\text{T}(\mathrm{jet})$.

Absolute cross section at particle level as a function of $|\eta(b_\text{l})|$.

Absolute cross section at particle level as a function of $|\eta(b_\text{l})|$.

Absolute cross section at particle level as a function of $|\eta(b_\text{h})|$.

Absolute cross section at particle level as a function of $|\eta(b_\text{h})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{W1})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{W1})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{W2})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{W2})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{1})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{1})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{2})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{2})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{3})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{3})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{4})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{4})|$.

Covariance matrix of absolute cross section at particle level as a function of Jet type vs. $|\eta(\text{jet})|$.

Covariance matrix of absolute cross section at particle level as a function of Jet type vs. $|\eta(\text{jet})|$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(b_\text{l})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(b_\text{l})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(b_\text{h})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(b_\text{h})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{W1})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{W1})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{W2})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{W2})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{1})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{1})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{2})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{2})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{3})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{3})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{4})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{4})$.

Covariance matrix of absolute cross section at particle level as a function of Jet type vs. $\Delta R_{\text{j}_\text{t}}$.

Covariance matrix of absolute cross section at particle level as a function of Jet type vs. $\Delta R_{\text{j}_\text{t}}$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(b_\text{l})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(b_\text{l})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(b_\text{h})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(b_\text{h})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{W1})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{W1})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{W2})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{W2})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{1})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{1})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{2})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{2})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{3})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{3})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{4})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{4})$.

Covariance matrix of absolute cross section at particle level as a function of Jet type vs. $\Delta R_\text{t}$.

Covariance matrix of absolute cross section at particle level as a function of Jet type vs. $\Delta R_\text{t}$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$.

Covariance matrix of normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$.

Covariance matrix of normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{l})$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{l})$.

Covariance matrix of normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{l})$.

Covariance matrix of normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{l})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{l})|$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{l})|$.

Covariance matrix of normalized cross section at particle level as a function of $|y(\text{t}_\text{l})|$.

Covariance matrix of normalized cross section at particle level as a function of $|y(\text{t}_\text{l})|$.

Normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at particle level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at particle level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at particle level as a function of $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of normalized cross section at particle level as a function of $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of normalized cross section at particle level as a function of $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at particle level as a function of Additional jets.

Normalized cross section at particle level as a function of Additional jets.

Covariance matrix of normalized cross section at particle level as a function of Additional jets.

Covariance matrix of normalized cross section at particle level as a function of Additional jets.

Normalized cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $p_\text{T}(b_\text{l})$.

Normalized cross section at particle level as a function of $p_\text{T}(b_\text{l})$.

Normalized cross section at particle level as a function of $p_\text{T}(b_\text{h})$.

Normalized cross section at particle level as a function of $p_\text{T}(b_\text{h})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{W1})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{W1})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{W2})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{W2})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{1})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{1})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{2})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{2})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{3})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{3})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{4})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{4})$.

Covariance matrix of normalized cross section at particle level as a function of Jet type vs. $p_\text{T}(\mathrm{jet})$.

Covariance matrix of normalized cross section at particle level as a function of Jet type vs. $p_\text{T}(\mathrm{jet})$.

Normalized cross section at particle level as a function of $|\eta(b_\text{l})|$.

Normalized cross section at particle level as a function of $|\eta(b_\text{l})|$.

Normalized cross section at particle level as a function of $|\eta(b_\text{h})|$.

Normalized cross section at particle level as a function of $|\eta(b_\text{h})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{W1})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{W1})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{W2})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{W2})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{1})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{1})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{2})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{2})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{3})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{3})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{4})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{4})|$.

Covariance matrix of normalized cross section at particle level as a function of Jet type vs. $|\eta(\text{jet})|$.

Covariance matrix of normalized cross section at particle level as a function of Jet type vs. $|\eta(\text{jet})|$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(b_\text{l})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(b_\text{l})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(b_\text{h})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(b_\text{h})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{W1})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{W1})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{W2})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{W2})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{1})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{1})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{2})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{2})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{3})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{3})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{4})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{4})$.

Covariance matrix of normalized cross section at particle level as a function of Jet type vs. $\Delta R_{\text{j}_\text{t}}$.

Covariance matrix of normalized cross section at particle level as a function of Jet type vs. $\Delta R_{\text{j}_\text{t}}$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(b_\text{l})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(b_\text{l})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(b_\text{h})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(b_\text{h})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{W1})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{W1})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{W2})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{W2})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{1})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{1})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{2})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{2})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{3})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{3})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{4})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{4})$.

Covariance matrix of normalized cross section at particle level as a function of Jet type vs. $\Delta R_\text{t}$.

Covariance matrix of normalized cross section at particle level as a function of Jet type vs. $\Delta R_\text{t}$.

gap fraction at particle level.

gap fraction at particle level.

Covariance matrix of gap fraction at particle level.

Covariance matrix of gap fraction at particle level.

gap fraction at particle level.

gap fraction at particle level.

Covariance matrix of gap fraction at particle level.

Covariance matrix of gap fraction at particle level.

jet multiplicities for $p_{T}(jet) > 30.0$ GeV.

jet multiplicities for $p_{T}(jet) > 30.0$ GeV.

jet multiplicities for $p_{T}(jet) > 50.0$ GeV.

jet multiplicities for $p_{T}(jet) > 50.0$ GeV.

jet multiplicities for $p_{T}(jet) > 75.0$ GeV.

jet multiplicities for $p_{T}(jet) > 75.0$ GeV.

jet multiplicities for $p_{T}(jet) > 100.0$ GeV.

jet multiplicities for $p_{T}(jet) > 100.0$ GeV.

Covariance matrix of jet multiplicities with different pT(jet) thresholds.

Covariance matrix of jet multiplicities with different pT(jet) thresholds.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{high})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{high})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{high})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{high})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{low})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{low})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{low})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{low})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$.

Covariance matrix of absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$.

Covariance matrix of absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{l})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{l})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{l})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{l})$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{l})|$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{l})|$.

Covariance matrix of absolute cross section at the parton level as a function of $|y(\text{t}_\text{l})|$.

Covariance matrix of absolute cross section at the parton level as a function of $|y(\text{t}_\text{l})|$.

Absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at the parton level as a function of $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of absolute cross section at the parton level as a function of $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of absolute cross section at the parton level as a function of $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{high})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{high})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{high})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{high})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{low})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{low})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{low})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{low})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$.

Covariance matrix of normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$.

Covariance matrix of normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{l})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{l})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{l})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{l})$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{l})|$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{l})|$.

Covariance matrix of normalized cross section at the parton level as a function of $|y(\text{t}_\text{l})|$.

Covariance matrix of normalized cross section at the parton level as a function of $|y(\text{t}_\text{l})|$.

Normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at the parton level as a function of $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of normalized cross section at the parton level as a function of $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of normalized cross section at the parton level as a function of $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Best fit values of $\sigma(gg\to H\to ZZ)$, $\sigma_i/\sigma_{gg\mathrm{F}}$, and $\mathrm{B}^f/\mathrm{B}^{ZZ}$ relative to their SM prediction from the combined analysis of the $\sqrt{s}$=7 and 8 TeV data. The results are shown for the combination of ATLAS and CMS, and also separately for each experiment, together with their total uncertainties and their breakdown into the four components described in the text. The expected uncertainties in the measurements are also shown.

Best fit values of $\sigma(gg\to H\to WW)$, $\sigma_i/\sigma_{gg\mathrm{F}}$, and $\mathrm{B}^f/\mathrm{B}^{WW}$ from the combined analysis of the $\sqrt{s}$=7 and 8 TeV data. The values involving cross sections are given for $\sqrt{s}$=8 TeV, assuming the SM values for $\sigma_i(7 \mathrm{TeV})/\sigma_i(8 \mathrm{TeV})$. The results are shown for the combination of ATLAS and CMS, and also separately for each experiment, together with their total uncertainties and their breakdown into the four components described in the text. The expected uncertainties in the measurements are also shown.

Best fit values of $\sigma(gg\to H\to WW)$, $\sigma_i/\sigma_{gg\mathrm{F}}$, and $\mathrm{B}^f/\mathrm{B}^{WW}$ relative to their SM prediction from the combined analysis of the $\sqrt{s}$=7 and 8 TeV data. The results are shown for the combination of ATLAS and CMS, and also separately for each experiment, together with their total uncertainties and their breakdown into the four components described in the text. The expected uncertainties in the measurements are also shown.

Best fit values of $\kappa_{gZ}= \kappa_{g}\cdot\kappa_{Z} / \kappa_{H}$ and of the ratios of coupling modifiers, as defined in the most generic parameterisation described in the context of the $\kappa$ framework, from the combined analysis of the $\sqrt{s}$=7 and 8 TeV data. The results are shown for the combination of ATLAS and CMS and also separately for each experiment, together with their total uncertainties and their breakdown into the four components described in the text. The uncertainties in $\lambda_{tg}$ and $\lambda_{WZ}$, for which a negative solution is allowed, are calculated around the overall best fit value. The expected total uncertainties in the measurements are also shown. For those parameters with no sensitivity to the sign, only the absolute values are shown.

Measured global signal strength $\mu$ and its total uncertainty, together with the breakdown of the uncertainty into its four components as defined in the text. The results are shown for the combination of ATLAS and CMS, and separately for each experiment. The expected uncertainty, with its breakdown, is also shown.

Measured signal strengths $\mu$ and their total uncertainties for different Higgs boson production processes. The results are shown for the combination of ATLAS and CMS, and separately for each experiment, for the combined $\sqrt{s}$=7 and 8 TeV data. The expected uncertainties in the measurements are also displayed. These results are obtained assuming that the Higgs boson branching fractions are the same as in the SM.

Measured signal strengths $\mu$ and their total uncertainties for different Higgs boson decay channels. The results are shown for the combination of ATLAS and CMS, and separately for each experiment, for the combined $\sqrt{s}$=7 and 8 TeV data. The expected uncertainties in the measurements are also displayed. These results are obtained assuming that the Higgs boson production process cross sections at $\sqrt{s}$ = 7 and 8 TeV are the same as in the SM.

Results of the ten-parameter fit of $\mu_F^f = \mu_{gg\mathrm{F}+ttH}^f$ and $\mu_V^f = \mu_{\mathrm{VBF}+VH}^f$ for each of the five decay channels. The results are shown for the combination of ATLAS and CMS, together with their measured and expected uncertainties. The measured results are also shown separately for each experiment.

Results of the six-parameter fit of the global ratio $\mu_V/\mu_F = \mu_{\mathrm{VBF}+VH}/\mu_{gg\mathrm{F}+ttH}$ together with $\mu_F^f$ for each of the five decay channels. The results are shown for the combination of ATLAS and CMS, together with their measured and expected uncertainties. The measured results are also shown separately for each experiment.

Fit results allowing BSM loop couplings, assuming that $|\kappa_{V}| \le$ 1, where $\kappa_{V}$ denotes $\kappa_{Z}$ or $\kappa_{W}$, and that $\mathrm{B_{BSM}} \ge$ 0. The results for the combination of ATLAS and CMS are reported with their measured and expected uncertainties. Also shown are the results from each experiment. For the parameters with both signs allowed, the other 1$\sigma$ interval is shown on a second line. For those parameters with no sensitivity to the sign, only the absolute values are shown.

Fit results allowing BSM loop couplings, assuming that there are no additional BSM contributions to the Higgs boson width, i.e. $\mathrm{B_{BSM}}=0$. The results for the combination of ATLAS and CMS are reported with their measured and expected uncertainties. Also shown are the results from each experiment. For the parameters with both signs allowed, the other 1$\sigma$ interval is shown on a second line. When a parameter is constrained and reaches a boundary, namely $\mathrm{B_{BSM}}$ = 0, the uncertainty is not indicated. For those parameters with no sensitivity to the sign, only the absolute values are shown.

Fit results for the parameterisation assuming the absence of BSM particles in the loops ($\mathrm{B_{BSM}}$=0). The results with their measured and expected uncertainties are reported for the combination of ATLAS and CMS, together with the individual results from each experiment. For the parameters with both signs allowed, the other 1$\sigma$ CL interval is shown on a second line. When a parameter is constrained and reaches a boundary, namely $|\kappa_\mu|$ = 0, the uncertainty is not indicated. For those parameters with no sensitivity to the sign, only the absolute values are shown.

Summary of fit results for a parameterisation probing the ratios of coupling modifiers for up-type versus down-type fermions. The results for the combination of ATLAS and CMS are reported together with their measured and expected uncertainties. Also shown are the results from each experiment. The parameter $\kappa_{uu}$ is positive definite since $\kappa_H$ is always assumed to be positive. For the parameter $\lambda_{du}$, for which both signs are allowed, the other 1$\sigma$ CL interval is shown on a second line. Negative values for the parameter $\lambda_{Vu}$ are excluded by more than 4$\sigma$.

Summary of fit results for a parameterisation probing the ratios of coupling modifiers for leptons versus quarks. The results for the combination of ATLAS and CMS are reported together with their measured and expected uncertainties. Also shown are the results from each experiment. The parameter $\kappa_{qq}$ is positive definite since $\kappa_H$ is always assumed to be positive. For the parameter $\lambda_{lq}$, for which there is no sensitivity to the sign, only the absolute values are shown. Negative values for the parameter $\lambda_{Vq}$ are excluded by more than 4$\sigma$.

Correlation matrix obtained from the fit combining the ATLAS and CMS data using the generic parameterisation with 23 parameters, $\sigma_i\cdot\mathrm{B}^f$ for each specific channel $i\to H\to f$. Only 20 parameters are shown because the other three, corresponding to the $H\to ZZ$ decay channel for the $WH$, $ZH$, and $ttH$ production processes, are not measured with a meaningful precision.

Correlation matrix obtained from the fit combining the ATLAS and CMS data using the generic parameterisation with nine parameters, $\sigma(gg\to H\to ZZ)$, $\sigma_i/\sigma_{gg\mathrm{F}}$, and $\mathrm{B}^f/\mathrm{B}^{ZZ}$.

Correlation matrix obtained from the fit combining the ATLAS and CMS data using the generic parameterisation with seven parameters, $\kappa_{gZ}=\kappa_{g}\cdot\kappa_{Z} / \kappa_{H}$ and the ratios of coupling modifiers.

Expected correlation matrix obtained from the fit combining ATLAS and CMS pre-fit Asimov data sets using the generic parameterisation with 23 parameters, $\sigma_i\cdot\mathrm{B}^f$ for each specific channel $i\to H\to f$. Only 20 parameters are shown because the other three, corresponding to the $H\to ZZ$ decay channel for the $WH$, $ZH$, and $ttH$ production processes, are not measured with a meaningful precision.

Expected correlation matrix obtained from the fit combining ATLAS and CMS pre-fit Asimov data sets using the generic parameterisation with nine parameters, $\sigma(gg\to H\to ZZ)$, $\sigma_i/\sigma_{gg\mathrm{F}}$, and $\mathrm{B}^f/\mathrm{B}^{ZZ}$.

Expected correlation matrix obtained from the fit combining ATLAS and CMS pre-fit Asimov data sets using the generic parameterisation with seven parameters, $\kappa_{gZ}=\kappa_{g}\cdot\kappa_{Z} / \kappa_{H}$ and the ratios of coupling modifiers.

ATLAS+CMS combined best-fit and 68% and 95% CL negative log-likelihood contours in the ($\kappa_{g}$,$\kappa_{\gamma}$) plane.

ATLAS best-fit and 68% and 95% CL negative log-likelihood contours in the ($\kappa_{g}$,$\kappa_{\gamma}$) plane.

CMS best-fit and 68% and 95% CL negative log-likelihood contours in the ($\kappa_{g}$,$\kappa_{\gamma}$) plane.

Best-fit and 68% and 95% CL negative log-likelihood contours in the ($\kappa_{F}$,$\kappa_{V}$) plane.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow\gamma\gamma$ channel.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow ZZ$ channel.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow WW$ channel.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow\tau\tau$ channel.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow bb$ channel.

ATLAS best-fit and 68% and 95% CL negative log-likelihood contours in the ($\kappa_{F}$,$\kappa_{V}$) plane.

CMS best-fit and 68% and 95% CL negative log-likelihood contours in the ($\kappa_{F}$,$\kappa_{V}$) plane.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow\gamma\gamma$ channel, assuming $\kappa_{F}>0$.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow ZZ$ channel, assuming $\kappa_{F}>0$.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow WW$ channel, assuming $\kappa_{F}>0$.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow\tau\tau$ channel, assuming $\kappa_{F}>0$.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow bb$ channel, assuming $\kappa_{F}>0$.

Best-fit and 68% and 95% CL negative log-likelihood contours in the ($\mu^{f}_{gg\mathrm{F}+ttH}$,$\mu^{f}_{\mathrm{VBF}+VH}$) plane for the $H\rightarrow\gamma\gamma$ channel.

Best-fit and 68% and 95% CL negative log-likelihood contours in the ($\mu^{f}_{gg\mathrm{F}+ttH}$,$\mu^{f}_{\mathrm{VBF}+VH}$) plane for the $H\rightarrow ZZ$ channel.

Best-fit and 68% and 95% CL negative log-likelihood contours in the ($\mu^{f}_{gg\mathrm{F}+ttH}$,$\mu^{f}_{\mathrm{VBF}+VH}$) plane for the $H\rightarrow WW$ channel.

Best-fit and 68% and 95% CL negative log-likelihood contours in the ($\mu^{f}_{gg\mathrm{F}+ttH}$,$\mu^{f}_{\mathrm{VBF}+VH}$) plane for the $H\rightarrow\tau\tau$ channel.

Best-fit and 68% and 95% CL negative log-likelihood contours in the ($\mu^{f}_{gg\mathrm{F}+ttH}$,$\mu^{f}_{\mathrm{VBF}+VH}$) plane for the $H\rightarrow bb$ channel.

Exclusion limit for BrHZX_BrXee

Exclusion limit for BrHZX_BrXmumu

Exclusion limit for BrHZX_BrXll

Exclusion limit for cah

Exclusion limit for cZh

Exclusion limit for kappa

Upper limits on the production cross section times branching fraction of the b* RH hypothesis at a 95% CL. Dashed colored lines show the expected limits from the l+jets and all-hadronic channels, where the latter start at resonance masses of 1.4 TeV. The observed and expected limits from the combination are shown as solid and dashed black lines, respectively. The green and yellow bands show the 68 and 95% confidence intervals on the combined expected limits.

Upper limits on the production cross section times branching fraction of the b* VL hypothesis at a 95% CL. Dashed colored lines show the expected limits from the l+jets and all-hadronic channels, where the latter start at resonance masses of 1.4 TeV. The observed and expected limits from the combination are shown as solid and dashed black lines, respectively. The green and yellow bands show the 68 and 95% confidence intervals on the combined expected limits.

Upper limits on the production cross section times branching fraction of the B+b hypothesis at a 95% CL. Dashed colored lines show the expected limits from the l+jets and all-hadronic channels, where the latter start at resonance masses of 1.4 TeV. The observed and expected limits from the combination are shown as solid and dashed black lines, respectively. The green and yellow bands show the 68 and 95% confidence intervals on the combined expected limits.

Upper limits on the production cross section times branching fraction of the B+t hypothesis at a 95% CL. Dashed colored lines show the expected limits from the l+jets and all-hadronic channels, where the latter start at resonance masses of 1.4 TeV. The observed and expected limits from the combination are shown as solid and dashed black lines, respectively. The green and yellow bands show the 68 and 95% confidence intervals on the combined expected limits.

Dijet signal efficiencies as a function of the signal mass and lifetime for events satisfying all event and vertex requirements, with corrections based on systematic differences in the vertex reconstruction efficiency between data and simulation.

The distribution of $d_{\mathrm{BV}}$ for $\geq$5-track one-vertex events in data and three simulated multijet signal samples each with a mass of 1600 GeV. The production cross section for each signal model is assumed to be the lower limit excluded by CMS-EXO-17-018, corresponding to values of 0.8, 0.25, and 0.15 fb for the samples with $c\tau =$ 0.3, 1.0, and 10 mm, respectively. The last bin includes the overflow events. This bin includes one event in data with a vertex with large $d_{\mathrm{BV}}$ that appears to arise from tracks originating from separate pp interaction vertices, consistent with background.

Distribution of the $x$-$y$ distances between vertices, $d_{\mathrm{VV}}$, for 2017 and 2018 data. The background distribution $d_{\mathrm{VV}}^{\kern 0.15em\mathrm{C}}$ (blue continuous line) is constructed from one-vertex events in data, and is normalized to the number of two-vertex events in data with two 3-track vertices. The two vertical red dashed lines separate the regions used in the fit.

Distribution of the $x$-$y$ distances between vertices, $d_{\mathrm{VV}}$, for 2017 and 2018 data. The background distribution $d_{\mathrm{VV}}^{\kern 0.15em\mathrm{C}}$ (blue continuous line) is constructed from one-vertex events in data, and is normalized to the number of two-vertex events in data which have exactly one 4-track vertex and one 3-track vertex. The two vertical red dashed lines separate the regions used in the fit.

Distribution of the $x$-$y$ distances between vertices, $d_{\mathrm{VV}}$, for 2017 and 2018 data. The background distribution $d_{\mathrm{VV}}^{\kern 0.15em\mathrm{C}}$ (blue continuous line) is constructed from one-vertex events in data, and is normalized to the number of two-vertex events in data with two 4-track vertices. The two vertical red dashed lines separate the regions used in the fit.

Distribution of the $x$-$y$ distances between vertices, $d_{\mathrm{VV}}$, for 2017 and 2018 data. The background distribution $d_{\mathrm{VV}}^{\kern 0.15em\mathrm{C}}$ (blue continuous line) is constructed from one-vertex events in data, and is normalized using $\geq$5-track one-vertex event information. The two vertical red dashed lines separate the regions used in the fit.

Predicted yields for the background-only normalized template, predicted yields for three simulated multijet signals each with a mass of 1600 GeV, and the observed yield in each $d_{\mathrm{VV}}$ bin. The production cross section for each signal model is assumed to be the lower limit excluded by CMS-EXO-17-018, corresponding to values of 0.8, 0.25, and 0.15 fb for samples with $c\tau =$ 0.3, 1.0, and 10 mm, respectively. The uncertainties in the signal yields and the systematic uncertainties in the background prediction reflect the systematic uncertainties given in the text.

Observed 95% CL upper limits on the product of cross section and branching fraction squared for the multijet signals, as a function of mass and $c\tau$. The overlaid mass-lifetime exclusion curves assume pair-production cross sections for the neutralino (red) and gluino (purple) with 100% branching fraction to each model's respective decay mode specified. The solid black (dashed colored) lines represent the observed (median expected) limits at 95% CL. The thin black lines represent the variation of the observed limit within theoretical uncertainties of the signal cross section. The thin dashed colored lines represent the region containing 68% of the expected limit distribution under the background-only hypothesis. The observed limits from the CMS displaced jets search (CMS-EXO-19-021) are also shown in teal for comparison.

Observed 95% CL upper limits on the product of cross section and branching fraction squared for the multijet signals, as a function of mass and $c\tau$. The overlaid mass-lifetime exclusion curves assume pair-production cross sections for the neutralino (red) and gluino (purple) with 100% branching fraction to each model's respective decay mode specified. The solid black (dashed colored) lines represent the observed (median expected) limits at 95% CL. The thin black lines represent the variation of the observed limit within theoretical uncertainties of the signal cross section. The thin dashed colored lines represent the region containing 68% of the expected limit distribution under the background-only hypothesis. The observed limits from the CMS displaced jets search (CMS-EXO-19-021) are also shown in teal for comparison.

Observed 95% CL upper limits on the product of cross section and branching fraction squared for the multijet signals, as a function of mass and $c\tau$. The overlaid mass-lifetime exclusion curves assume pair-production cross sections for the neutralino (red) and gluino (purple) with 100% branching fraction to each model's respective decay mode specified. The solid black (dashed colored) lines represent the observed (median expected) limits at 95% CL. The thin black lines represent the variation of the observed limit within theoretical uncertainties of the signal cross section. The thin dashed colored lines represent the region containing 68% of the expected limit distribution under the background-only hypothesis. The observed limits from the CMS displaced jets search (CMS-EXO-19-021) are also shown in teal for comparison.

Observed 95% CL upper limits on the product of cross section and branching fraction squared for the dijet signals, as a function of mass and $c\tau$. The overlaid mass-lifetime exclusion curves assume pair-production cross sections for the top squark with 100% branching fraction to each model's respective decay mode specified. The solid black (dashed colored) lines represent the observed (median expected) limits at 95% CL. The thin black lines represent the variation of the observed limit within theoretical uncertainties of the signal cross section. The thin dashed colored lines represent the region containing 68% of the expected limit distribution under the background-only hypothesis. The observed limits from the CMS displaced jets search (CMS-EXO-19-021) are also shown in teal for comparison.

Observed 95% CL upper limits on the product of cross section and branching fraction squared for the dijet signals, as a function of mass and $c\tau$. The overlaid mass-lifetime exclusion curves assume pair-production cross sections for the top squark with 100% branching fraction to each model's respective decay mode specified. The solid black (dashed colored) lines represent the observed (median expected) limits at 95% CL. The thin black lines represent the variation of the observed limit within theoretical uncertainties of the signal cross section. The thin dashed colored lines represent the region containing 68% of the expected limit distribution under the background-only hypothesis. The observed limits from the CMS displaced jets search (CMS-EXO-19-021) are also shown in teal for comparison.

Observed and expected 95% CL upper limits on the product of cross section and branching fraction squared, as a function of mass for multijet signals, for a fixed $c\tau$ of 300um in the full Run-2 data set. The neutralino and gluino pair production cross sections are shown for the multijet signals.

Observed and expected 95% CL upper limits on the product of cross section and branching fraction squared, as a function of mass for dijet signals, for a fixed $c\tau$ of 300um in the full Run-2 data set. The top squark pair-production cross section is shown for the dijet signals.

Observed and expected 95% CL upper limits on the product of cross section and branching fraction squared, as a function of mass for multijet signals, for a fixed $c\tau$ of 1 mm in the full Run-2 data set. The neutralino and gluino pair production cross sections are shown for the multijet signals.

Observed and expected 95% CL upper limits on the product of cross section and branching fraction squared, as a function of mass for dijet signals, for a fixed $c\tau$ of 1 mm in the full Run-2 data set. The top squark pair-production cross section is shown for the dijet signals.

Observed and expected 95% CL upper limits on the product of cross section and branching fraction squared, as a function of mass for multijet signals, for a fixed $c\tau$ of 10 mm in the full Run-2 data set. The neutralino and gluino pair production cross sections are shown for the multijet signals.

Observed and expected 95% CL upper limits on the product of cross section and branching fraction squared, as a function of mass for dijet signals, for a fixed $c\tau$ of 10 mm in the full Run-2 data set. The top squark pair-production cross section is shown for the dijet signals.

Observed and expected 95% CL upper limits on the product of cross section and branching fraction squared, as a function of $c\tau$ for multijet signals, for a fixed mass of 800 GeV in the full Run-2 data set. The neutralino and gluino pair production cross sections are shown for the multijet signals.

Observed and expected 95% CL upper limits on the product of cross section and branching fraction squared, as a function of $c\tau$ for dijet signals, for a fixed mass of 800 GeV in the full Run-2 data set. The top squark pair-production cross section is shown for the dijet signals.

Observed and expected 95% CL upper limits on the product of cross section and branching fraction squared, as a function of $c\tau$ for multijet signals, for a fixed mass of 1600 GeV in the full Run-2 data set. The neutralino and gluino pair production cross sections are shown for the multijet signals.

Observed and expected 95% CL upper limits on the product of cross section and branching fraction squared, as a function of $c\tau$ for dijet signals, for a fixed mass of 1600 GeV in the full Run-2 data set. The top squark pair-production cross section is shown for the dijet signals.

Observed and expected 95% CL upper limits on the product of cross section and branching fraction squared, as a function of $c\tau$ for multijet signals, for a fixed mass of 2400 GeV in the full Run-2 data set. The neutralino and gluino pair production cross sections are shown for the multijet signals. For $m$ = 2400 GeV, the expected neutralino cross section is $\approx 8\times 10^{-5}$ fb and is not shown.

Observed and expected 95% CL upper limits on the product of cross section and branching fraction squared, as a function of $c\tau$ for dijet signals, for a fixed mass of 2400 GeV in the full Run-2 data set. The top squark pair-production cross section is shown for the dijet signals.

Data-to-simulation efficiency correction factors, shown for multijet and dijet signal topologies in several ranges of $c\tau$. Note that these correction factors account for the two long-lived particles in the simulated events, and are therefore the total correction factors used to scale event yields rather than the correction factors one would apply to individual vertices.

Distribution of the azimuthal angle between vertices, $\Delta\phi_{\mathrm{VV}}$, for 2017 and 2018 data. The background distribution (blue continuous line) is constructed from 3-track one-vertex events in data, and is normalized to the number of 3-track two-vertex events in data.

Distribution of the azimuthal angle between vertices, $\Delta\phi_{\mathrm{VV}}$, for 2017 and 2018 data. The background distribution (blue continuous line) is constructed from 4-track and 3-track one-vertex events in data, and is normalized to the number of two-vertex events in data which have exactly one 4-track vertex and one 3-track vertex.

Distribution of the azimuthal angle between vertices, $\Delta\phi_{\mathrm{VV}}$, for 2017 and 2018 data. The background distribution (blue continuous line) is constructed from 4-track one-vertex events in data, and is normalized to the number of 4-track two-vertex events in data.

Distribution of the azimuthal angle between vertices, $\Delta\phi_{\mathrm{VV}}$, for 2017 and 2018 data. The background distribution (blue continuous line) is constructed from $\geq$5-track one-vertex events in data, and is normalized using one-vertex event information. No $\geq$5-track two-vertex data events pass the selection.