Figure 6a, Normalised differential D2 distribution for soft-drop groomed jets, Dijet selection

Figure 7a, Normalised differential ECF2 distribution for soft-drop groomed jets, Dijet selection

Figure 8a, Normalised differential ECF3 distribution for soft-drop groomed jets, Dijet selection

Figure 3b, Normalised differential Nsubjets distribution for soft-drop groomed jets, Top selection

Figure 4b, Normalised differential LHA distribution for soft-drop groomed jets, Top selection

Figure 5b, Normalised differential C2 distribution for soft-drop groomed jets, Top selection

Figure 6b, Normalised differential D2 distribution for soft-drop groomed jets, Top selection

Figure 7b, Normalised differential ECF2 distribution for soft-drop groomed jets, Top selection

Figure 8b, Normalised differential ECF3 distribution for soft-drop groomed jets, Top selection

Figure 9a, Normalised differential Tau21 distribution for soft-drop groomed jets, Top selection

Figure 9b, Normalised differential Tau32 distribution for soft-drop groomed jets, Top selection

Figure 3c, Normalised differential Nsubjets distribution for soft-drop groomed jets, W selection

Figure 4c, Normalised differential LHA distribution for soft-drop groomed jets, W selection

Figure 5c, Normalised differential C2 distribution for soft-drop groomed jets, W selection

Figure 6c, Normalised differential D2 distribution for soft-drop groomed jets, W selection

Figure 7c, Normalised differential ECF2 distribution for soft-drop groomed jets, W selection

Figure 8c, Normalised differential ECF3 distribution for soft-drop groomed jets, W selection

Figure 9c, Normalised differential Tau21 distribution for soft-drop groomed jets, W selection

Figure 9d, Normalised differential Tau32 distribution for soft-drop groomed jets, W selection

Normalised differential Nsubjets distribution for trimmed jets, Dijet selection

Normalised differential LHA distribution for trimmed jets, Dijet selection

Normalised differential C2 distribution for trimmed jets, Dijet selection

Normalised differential D2 distribution for trimmed jets, Dijet selection

Normalised differential ECF2 distribution for trimmed jets, Dijet selection

Normalised differential ECF3 distribution for trimmed jets, Dijet selection

Normalised differential Nsubjets distribution for trimmed jets, Top selection

Normalised differential LHA distribution for trimmed jets, Top selection

Normalised differential C2 distribution for trimmed jets, Top selection

Normalised differential D2 distribution for trimmed jets, Top selection

Normalised differential ECF2 distribution for trimmed jets, Top selection

Normalised differential ECF3 distribution for trimmed jets, Top selection

Normalised differential Tau21 distribution for trimmed jets, Top selection

Normalised differential Tau32 distribution for trimmed jets, Top selection

Normalised differential Nsubjets distribution for trimmed jets, W selection

Normalised differential LHA distribution for trimmed jets, W selection

Normalised differential C2 distribution for trimmed jets, W selection

Normalised differential D2 distribution for trimmed jets, W selection

Normalised differential ECF2 distribution for trimmed jets, W selection

Normalised differential ECF3 distribution for trimmed jets, W selection

Normalised differential Tau21 distribution for trimmed jets, W selection

Normalised differential Tau32 distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential Nsubjets distribution for soft-drop groomed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential LHA distribution for soft-drop groomed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential C2 distribution for soft-drop groomed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential D2 distribution for soft-drop groomed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential ECF2 distribution for soft-drop groomed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential ECF3 distribution for soft-drop groomed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential Nsubjets distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential LHA distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential C2 distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential D2 distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential ECF2 distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential ECF3 distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential Tau21 distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential Tau32 distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential Nsubjets distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential LHA distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential C2 distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential D2 distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential ECF2 distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential ECF3 distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential Tau21 distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential Tau32 distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential Nsubjets distribution for trimmed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential LHA distribution for trimmed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential C2 distribution for trimmed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential D2 distribution for trimmed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential ECF2 distribution for trimmed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential ECF3 distribution for trimmed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential Nsubjets distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential LHA distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential C2 distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential D2 distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential ECF2 distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential ECF3 distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential Tau21 distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential Tau32 distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential Nsubjets distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential LHA distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential C2 distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential D2 distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential ECF2 distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential ECF3 distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential Tau21 distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential Tau32 distribution for trimmed jets, W selection

Absolute cross-sections differential in m(l2b). Uncertainties are signed to show correlations.

Absolute cross-sections differential in E(llb). Uncertainties are signed to show correlations.

Absolute cross-sections differential in mT(llvvb). Uncertainties are signed to show correlations.

Absolute cross-sections differential in m(llb). Uncertainties are signed to show correlations.

Normalised cross-sections differential in E(b). Uncertainties are signed to show correlations.

Normalised cross-sections differential in m(l1b). Uncertainties are signed to show correlations.

Normalised cross-sections differential in m(l2b). Uncertainties are signed to show correlations.

Normalised cross-sections differential in E(llb). Uncertainties are signed to show correlations.

Normalised cross-sections differential in mT(llvvb). Uncertainties are signed to show correlations.

Normalised cross-sections differential in m(llb). Uncertainties are signed to show correlations.

Predicted ratio of cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $0.6<|\eta^{\gamma}|<1.37$.

Measured ratio of cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.56<|\eta^{\gamma}|<1.81$.

Predicted ratio of cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.56<|\eta^{\gamma}|<1.81$.

Measured ratio of cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.81<|\eta^{\gamma}|<2.37$.

Predicted ratio of cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.81<|\eta^{\gamma}|<2.37$.

Measured double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $|\eta^{\gamma}|<0.6$.

Predicted double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $|\eta^{\gamma}|<0.6$.

Measured double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $0.6<|\eta^{\gamma}|<1.37$.

Predicted double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $0.6<|\eta^{\gamma}|<1.37$.

Measured double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $1.56<|\eta^{\gamma}|<1.81$.

Predicted double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $1.56<|\eta^{\gamma}|<1.81$.

Measured double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $1.81<|\eta^{\gamma}|<2.37$.

Predicted double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $1.81<|\eta^{\gamma}|<2.37$.

Lower mass requirement for signal regions.

Lower mass requirement for signal regions.

Lower mass requirement for signal regions.

Expected and observed events in the 16 discovery regions along with the according control regions.

Expected and observed events in the 16 discovery regions along with the according control regions.

Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the MS-agnostic R-hadron search.

Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the MS-agnostic R-hadron search.

Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the full-detector R-hadron search.

Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the full-detector R-hadron search.

p0-values and model-independent upper limits on cross-section x acceptance x efficiency for the 16 discovery regions.

p0-values and model-independent upper limits on cross-section x acceptance x efficiency for the 16 discovery regions.

Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the MS-agnostic search for metastable gluino R-hadrons.

Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the MS-agnostic search for metastable gluino R-hadrons.

Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the full-detector direct-stau search.

Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the full-detector direct-stau search.

Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the full-detector chargino search.

Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the full-detector chargino search.

Upper cross-section limit in gluino R-hadron search.

Upper cross-section limit in gluino R-hadron search.

Upper cross-section limit in sbottom R-hadron search.

Upper cross-section limit in sbottom R-hadron search.

Upper cross-section limit in stop R-hadron search.

Upper cross-section limit in stop R-hadron search.

Upper cross-section limit in stau search.

Upper cross-section limit in stau search.

Upper cross-section limit in chargino search.

Upper cross-section limit in chargino search.

Lower mass limit as function of gluino lifetime.

Lower mass limit as function of gluino lifetime.

Acceptance x efficiency, acceptance and efficiency for the full range of simulated masses in the MS-agnostic R-hadron search.

Acceptance x efficiency, acceptance and efficiency for the full range of simulated masses in the MS-agnostic R-hadron search.

Upper cross-section limit in meta-stable gluino R-hadron search.

Upper cross-section limit in meta-stable gluino R-hadron search.

Flavor composition of 800 GeV stop R-hadrons simulated using the generic model as a function of radial distance from the interaction point.

Flavor composition of 800 GeV stop R-hadrons simulated using the generic model as a function of radial distance from the interaction point.

Flavor composition of 800 GeV anti-stop R-hadrons simulated using the generic model as a function of radial distance from the interaction point.

Flavor composition of 800 GeV anti-stop R-hadrons simulated using the generic model as a function of radial distance from the interaction point.

Flavor composition of 800 GeV stop R-hadrons simulated using the Regge model as a function of radial distance from the interaction point.

Flavor composition of 800 GeV stop R-hadrons simulated using the Regge model as a function of radial distance from the interaction point.

Flavor composition of 800 GeV anti-stop R-hadrons simulated using the Regge model as a function of radial distance from the interaction point.

Flavor composition of 800 GeV anti-stop R-hadrons simulated using the Regge model as a function of radial distance from the interaction point.

ETmiss trigger efficiency as function of true ETmiss (EtmissTurnOn).

ETmiss trigger efficiency as function of true ETmiss (EtmissTurnOn).

Single-muon trigger efficiency as function of $|\eta|$ and $\beta$ (SingleMuTurnOn).

Single-muon trigger efficiency as function of $|\eta|$ and $\beta$ (SingleMuTurnOn).

Candidate reconstruction efficiency for ID+Calo selection (IDCaloEff).

Candidate reconstruction efficiency for ID+Calo selection (IDCaloEff).

Candidate reconstruction efficiency for loose selection (LooseEff).

Candidate reconstruction efficiency for loose selection (LooseEff).

Efficiency for a loose candidate to be promoted to a tight candidate (TightPromotionEff).

Efficiency for a loose candidate to be promoted to a tight candidate (TightPromotionEff).

Resolution and average of reconstructed dE/dx mass for a given simulated mass for ID+calo candidates.

Resolution and average of reconstructed dE/dx mass for a given simulated mass for ID+calo candidates.

Resolution and average of reconstructed ToF mass for a given simulated mass for ID+calo candidates.

Resolution and average of reconstructed ToF mass for a given simulated mass for ID+calo candidates.

Resolution and average of reconstructed ToF mass for a given simulated mass for FullDet candidates.

Resolution and average of reconstructed ToF mass for a given simulated mass for FullDet candidates.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

ggH default MC + XH predictions

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

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

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

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

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

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

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

List of systematic uncertainties contributing to the total uncertainty in the measured values of $\sigma(tq)$, $\sigma(\bar{t}q)$, and $R_t= \sigma(tq)/\sigma(\bar{t}q)$. The estimation of the systematic uncertainties has a statistical uncertainty of $0.3\;\%$. In the publication, uncertainties contributing less than $0.5\,\%$ are marked with ``$<0.5$''. To provide numerical values for this table in HEPdata, these uncertainties are approximated with $\pm 0.5\,\%$. This approximation is applied to the following uncertainties on $\sigma(tq):$ electron uncertainties, $c$-tagging efficiency, light-jet tagging efficiency and $t\bar{t}$, $Wt$, $t\bar{b}+\bar{t}b$ radiation. For the measurement of $\sigma(\bar{t}q)$ the approximation is only applied to the uncertainty in the light-jet tagging efficiency. In case of the ratio $R_t$, there are six uncertainties for which the impact on $R_t$ is estimated to be $<0.5$, but for the purpose of providing the data in electronic form in this table they are quoted as $\pm 0.5\,\%$. These uncertainties are $E_\mathrm{T}^{\mathrm{miss}}$ modelling, '$b$-tagging efficiency, light-jet tagging efficiency, PDF, other background normalisation and luminosity.

Measured values of the cross-sections $\sigma(tq)$, $\sigma(\bar{t}q)$, $\sigma(tq+\bar{t} q)$, and $R_t$ for different simulated top-quark masses. The quoted uncertainties are statistical only.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_\text{T}^{\text{lead }\ell}$.

Statistical correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_\text{T}^{\text{lead }\ell}$.

Total correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_\text{T}^{\text{lead }\ell}$.

Measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $m_{e\mu}$.

Statistical correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $m_{e\mu}$.

Total correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $m_{e\mu}$.

Measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_{T}^{e\mu}$.

Statistical correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_{T}^{e\mu}$.

Total correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_{T}^{e\mu}$.

Measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|y_{e\mu}|$.

Statistical correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|y_{e\mu}|$.

Total correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|y_{e\mu}|$.

Measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $\Delta\phi_{e\mu}$.

Statistical correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $\Delta\phi_{e\mu}$.

Total correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $\Delta\phi_{e\mu}$.

Measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|cos(\theta^*)|$.

Statistical correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|cos(\theta^*)|$.

Total correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|cos(\theta^*)|$.

Measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_\text{T}^{\text{lead }\ell}$.

Statistical correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_\text{T}^{\text{lead }\ell}$.

Total correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_\text{T}^{\text{lead }\ell}$.

Measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $m_{e\mu}$.

Statistical correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $m_{e\mu}$.

Total correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $m_{e\mu}$.

Measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_{T}^{e\mu}$.

Statistical correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_{T}^{e\mu}$.

Total correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_{T}^{e\mu}$.

Measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|y_{e\mu}|$.

Statistical correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|y_{e\mu}|$.

Total correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|y_{e\mu}|$.

Measured normalized fiducial cross section of $WW\rightarrow e\mu$ production for the observable $\Delta\phi_{e\mu}$.

Statistical correlation between bins in data for the measured normalized fiducial cross section of $WW\rightarrow e\mu$ production for the observable $\Delta\phi_{e\mu}$.

Total correlation between bins in data for the measured normalized fiducial cross section of $WW\rightarrow e\mu$ production for the observable $\Delta\phi_{e\mu}$.

Measured normalized fiducial cross section of $WW\rightarrow e\mu$ production for the observable $|cos(\theta^*)|$.

Statistical correlation between bins in data for the measured normalized fiducial cross section of $WW\rightarrow e\mu$ production for the observable $|cos(\theta^*)|$.

Total correlation between bins in data for the measured normalized fiducial cross section of $WW\rightarrow e\mu$ production for the observable $|cos(\theta^*)|$.

List of experimentally considered systematic uncertainties for the WW cross section measurement.

Extrapolated unfolded fiducial cross-section of $WW\rightarrow e\mu$ production as a function of $p_\text{T}^{\text{lead }\ell}$.

Extrapolated unfolded fiducial cross-section of $WW\rightarrow e\mu$ production as a function of $m_{e\mu}$.

Extrapolated unfolded fiducial cross-section of $WW\rightarrow e\mu$ production as a function of $p_{T}^{e\mu}$.

List of relative uncertainties in the measured cross sections of the $t\bar{t}Z$ and $t\bar{t}W$ processes from the fit, grouped in categories. All uncertainties are symmetrized. The sum in quadrature may not be equal to the total due to correlations between uncertainties introduced by the fit.

The expected and observed 68% and 95% confidence intervals, which include the value 0, for $\mathcal{C}_{i}/\Lambda^{2}$ for the EFT coefficients $\mathcal{C}_{\phi Q}^{(3)}$, $\mathcal{C}_{\phi t}$, $\mathcal{C}_{tB}$ and $\mathcal{C}_{tW}$. The intervals for $\mathcal{C}_{\phi Q}^{(3)}$ are derived setting $\mathcal{C}_{\phi Q}^{(1)}$ to zero; the measurement is sensitive to the difference $\mathcal{C}_{\phi Q}^{(3)}-\mathcal{C}_{\phi Q}^{(1)}$. All results are given in units of 1/TeV$^{2}$. Limits from fits for the EFT coefficients with only the linear term are also shown.

The 95% CL upper limits of the cross section times branching fraction of $\Phi \to \mu^+\mu^-$ for b-associated production

The observed/expected 95% CL upper limits of the cross section times branching fraction of $\Phi \to \mu^+\mu^-$ as a function of $\Phi$ mass and the cross section fraction of the b-associated production.

Signal acceptance for different masses in bTag and bVeto signal regions.

Upper limits on $\sigma\times B$ as a function of $m_{e^*}$ in the $e\nu J$ channel. The $\pm 1(2)\sigma$ uncertainty bands around the expected limit represent all sources of systematic and statistical uncertainties.

Lower limits on $\Lambda$ as a function of $m_{e^*}$ for the $eejj$ channel. The $\pm\ 1(2)\sigma$ uncertainty bands around the expected limit represent all sources of systematic and statistical uncertainties. The limits for $m_{e^*}\gt4$ TeV are the result of extrapolation.

Lower limits on $\Lambda$ as a function of $m_{e^*}$ for the $e\nu J$ channel. The $\pm\ 1(2)\sigma$ uncertainty bands around the expected limit represent all sources of systematic and statistical uncertainties.

Lower limits on $\Lambda$ as a function of $m_{e^*}$ combined for the $eejj$ and the $e\nu J$ channels. The $\pm\ 1(2)\sigma$ uncertainty bands around the expected limit represent all sources of systematic and statistical uncertainties. The limits for $m_{e^*}\gt4$ TeV are the result of extrapolation.

rapidity bin 1.5 < |Y| < 2.0 anti-kt R=0.4

rapidity bin 2.0 < |Y| < 2.5 anti-kt R=0.4

rapidity bin 2.5 < |Y| < 3.0 anti-kt R=0.4

rapidity bin 0 < y* < 0.5 anti-kt R=0.4

rapidity bin 0.5 < y* < 1.0 anti-kt R=0.4

rapidity bin 1.0 < y* < 1.5 anti-kt R=0.4

rapidity bin 1.5 < y* < 2.0 anti-kt R=0.4

rapidity bin 2.0 < y* < 2.5 anti-kt R=0.4

rapidity bin 2.5 < y* < 3.0 anti-kt R=0.4

Summary of the relative uncertainties in the measured fiducial cross section $\sigma^{\mathrm{fid}}_{W^\pm Z j j-EW}$ . The uncertainties are reported as percentages.

Numbers of observed and expected events in the $W^{\pm}Zjj$ signal region and in the three control regions, after the fit. The expected number of $WZjj-EW$ events from $SHERPA$ and the estimated number of background events from the other processes are shown. The sum of the background containing misidentified leptons is labelled "Misid. leptons". The total correlated post-fit uncertainties are quoted.

Measured $W^{pm}Zjj$ differential cross-section in the VBS fiducial phase space. The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds, pileup and luminosity. The last bin is a cross section for all events above the lower end of the bin.

Correlation matrix for the unfolded fiducial cross-section.

Measured $W^{pm}Zjj$ differential cross-section in the VBS fiducial phase space. The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds, pileup and luminosity. The last bin is a cross section for all events above the lower end of the bin.

Correlation matrix for the unfolded fiducial cross-section.

Measured $W^{pm}Zjj$ differential cross-section in the VBS fiducial phase space. The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds, pileup and luminosity.

Correlation matrix for the unfolded fiducial cross-section.

Measured $W^{pm}Zjj$ differential cross-section in the VBS fiducial phase space. The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds, pileup and luminosity. The last bin is a cross section for all events above the lower end of the bin.

Correlation matrix for the unfolded fiducial cross-section.

Measured $W^{pm}Zjj$ differential cross-section in the VBS fiducial phase space. The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds, pileup and luminosity. The last bin is a cross section for all events above the lower end of the bin.

Correlation matrix for the unfolded fiducial cross-section.

Measured $W^{pm}Zjj$ differential cross-section in the VBS fiducial phase space. The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds, pileup and luminosity.

Correlation matrix for the unfolded fiducial cross-section.

Measured $W^{pm}Zjj$ differential cross-section in the VBS fiducial phase space. The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds, pileup and luminosity. The last bin is a cross section for all events above the lower end of the bin.

Correlation matrix for the unfolded fiducial cross-section.

Measured $W^{pm}Zjj$ differential cross-section in the VBS fiducial phase space. The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds, pileup and luminosity. the last bin is a cross section for all events above the lower end of the bin.

Correlation matrix for the unfolded fiducial cross-section.

Differential cross-section and uncertainty from each source, as a function of leading $p_{T}^j$ for the dominant process in the $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of leading $p_{T}^j$ for the dominant process in the extreme $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of leading $p_{T}^j$ for the dominant process in the extreme $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of leading $p_{T}^j$ for the dominant process in the extreme $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of subleading $p_{T}^j$ for the dominant process in the $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of subleading $p_{T}^j$ for the dominant process in the $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of subleading $p_{T}^j$ for the dominant process in the $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of subleading $p_{T}^j$ for the dominant process in the extreme $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of subleading $p_{T}^j$ for the dominant process in the extreme $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of subleading $p_{T}^j$ for the dominant process in the extreme $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $min\Delta\phi(j_0,l)$ for the dominant process in the $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $min\Delta\phi(j_0,l)$ for the dominant process in the $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $min\Delta\phi(j_0,l)$ for the dominant process in the $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $min\Delta\phi(j_0,l)$ for the dominant process in the extreme $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $min\Delta\phi(j_0,l)$ for the dominant process in the extreme $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $min\Delta\phi(j_0,l)$ for the dominant process in the extreme $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $min\Delta\phi(j_1,l)$ for the dominant process in the $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $min\Delta\phi(j_1,l)$ for the dominant process in the $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $min\Delta\phi(j_1,l)$ for the dominant process in the $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $min\Delta\phi(j_1,l)$ for the dominant process in the extreme $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $min\Delta\phi(j_1,l)$ for the dominant process in the extreme $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $min\Delta\phi(j_1,l)$ for the dominant process in the extreme $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\eta_{jj}$ for the dominant process in the $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\eta_{jj}$ for the dominant process in the $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\eta_{jj}$ for the dominant process in the $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\eta_{jj}$ for the dominant process in the extreme $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\eta_{jj}$ for the dominant process in the extreme $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\eta_{jj}$ for the dominant process in the extreme $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\phi_{jj}$ for the dominant process in the $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\phi_{jj}$ for the dominant process in the $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\phi_{jj}$ for the dominant process in the $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\phi_{jj}$ for the dominant process in the extreme $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\phi_{jj}$ for the dominant process in the extreme $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\phi_{jj}$ for the dominant process in the extreme $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\phi_{ll}$ for the dominant process in the $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\phi_{ll}$ for the dominant process in the $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\phi_{ll}$ for the dominant process in the $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\phi_{ll}$ for the dominant process in the extreme $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\phi_{ll}$ for the dominant process in the extreme $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $\Delta\phi_{ll}$ for the dominant process in the extreme $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $m_{jj}$ for the dominant process in the $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $m_{jj}$ for the dominant process in the $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $m_{jj}$ for the dominant process in the $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $m_{jj}$ for the dominant process in the extreme $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $m_{jj}$ for the dominant process in the extreme $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $m_{jj}$ for the dominant process in the extreme $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $p_{T}^{ee}$ for the dominant process in the $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $p_{T}^{\mu\mu}$ for the dominant process in the $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $p_{T}^{e\mu}$ for the dominant process in the $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $p_{T}^{ee}$ for the dominant process in the extreme $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $p_{T}^{\mu\mu}$ for the dominant process in the extreme $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $p_{T}^{e\mu}$ for the dominant process in the extreme $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $H_{T}$ for the dominant process in the $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $H_{T}$ for the dominant process in the $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $H_{T}$ for the dominant process in the $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $H_{T}$ for the dominant process in the extreme $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $H_{T}$ for the dominant process in the extreme $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $H_{T}$ for the dominant process in the extreme $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $S_{T}$ for the dominant process in the $ee jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $S_{T}$ for the dominant process in the $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $S_{T}$ for the dominant process in the $e\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $S_{T}$ for the dominant process in the extreme $eejj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $S_{T}$ for the dominant process in the extreme $\mu\mu jj$ measurement region.

Differential cross-section and uncertainty from each source, as a function of $S_{T}$ for the dominant process in the extreme $e\mu jj$ measurement region.

Expected and observed 95% CL lower limits on first- and second-generation leptoquark masses for different values of $\beta$.

Event yields in the dimuon channel control regions with total uncertainties. The observed number of events is given in the first row. The background event numbers as obtained from the fit are shown together with the total uncertainties. The second row shows the total background expectation, the further rows show the breakdown into different background components.

Event yields in the dielectron channel control regions with total uncertainties. The observed number of events is given in the first row. The background event numbers as obtained from the fit are shown together with the total uncertainties. The second row shows the total background expectation, the further rows show the breakdown into different background components.

Distribution of $m_{LQ}^{min}$ in the training region for the BDT for the $ee jj$ and $\mu\mu jj$ channels. Data are shown together with predicted total background expectation.

Distribution of $m_{LQ}^{T}$ in the training region for the BDT for the $e\nu jj$ and $\mu\nu jj$ channels. Data are shown together with predicted total background expectation.

Data and SM predictions in SRs for the $1lb\bar{b}$ analysis for $E_{\mathrm{T}}^{\mathrm{miss}}$ in SR1Lbb-Medium. All SRs selections but the one on the quantity shown are applied. All uncertainties are included in the uncertainty band. Example SUSY models are superimposed for illustrative purposes.

Distributions of $m_{\gamma\gamma}$ before the final requirement on $m_{\gamma\gamma}$ in SR1Lyy-a. The expected contributions from both the peaking and non-peaking backgrounds are shown as stacked colored histograms. Two example SUSY models are superimposed for illustrative purposes.

Distributions of $m_{\gamma\gamma}$ before the final requirement on $m_{\gamma\gamma}$ in SR1Lyy-b. The expected contributions from both the peaking and non-peaking backgrounds are shown as stacked colored histograms. Two example SUSY models are superimposed for illustrative purposes.

Observed and predicted distributions for $m_{jj}$ in SRSS-j1. All SRs selections but the one on the quantity shown are applied. All uncertainties are included in the uncertainty band. An example SUSY model is superimposed for illustrative purposes.

Observed and predicted distributions for $m_{T2}$ in SRSS-j23. All SRs selections but the one on the quantity shown are applied. All uncertainties are included in the uncertainty band. An example SUSY model is superimposed for illustrative purposes.

The observed exclusion for the $0lb\bar{b}$ channel. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

The expected exclusion for the $0lb\bar{b}$ channel. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

The observed exclusion for the $1lb\bar{b}$ channel. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

The expected exclusion for the $1lb\bar{b}$ channel. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

The expected exclusion for the $1l\gamma\gamma$ channel. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

The observed exclusion for the $l^{\pm}l^{\pm}$ channel. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

The expected exclusion for the $l^{\pm}l^{\pm}$ channel. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $3l$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $3l$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1lb\bar{b}$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1lb\bar{b}$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1l\gamma\gamma$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1l\gamma\gamma$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $l^{\pm}l^{\pm}$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $l^{\pm}l^{\pm}$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $0lb\bar{b}$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $0lb\bar{b}$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1lb\bar{b}$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1lb\bar{b}$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1l\gamma\gamma$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1l\gamma\gamma$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $l^{\pm}l^{\pm}$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $l^{\pm}l^{\pm}$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $3l$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $3l$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

Acceptance for $0lb\bar{b}$ SRHad-Low signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $0lb\bar{b}$ SRHad-Low signal region.

Acceptance for $0lb\bar{b}$ SRHad-High signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $0lb\bar{b}$ SRHad-High signal region.

Upper cross section limits for the $0lb\bar{b}$ analysis.

Acceptance for $1lb\bar{b}$ SR1Lbb-Low signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiency for $1lb\bar{b}$ SR1Lbb-Low signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $1lb\bar{b}$ SR1Lbb-Medium signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiency for $1lb\bar{b}$ SR1Lbb-Medium signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $1lb\bar{b}$ SR1Lbb-High signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiency for $1lb\bar{b}$ SR1Lbb-High signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Upper cross section limits for the $1lb\bar{b}$ analysis.

Acceptance for $1l\gamma\gamma$ signal region SR1Lyy-a. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $1l\gamma\gamma$ signal region SR1Lyy-a.

Acceptance for $1l\gamma\gamma$ signal region SR1Lyy-b. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $1l\gamma\gamma$ signal region SR1Lyy-b.

Upper cross section limits for the $1l\gamma\gamma$ analysis.

Acceptance for $l^{\pm}l^{\pm}$ signal region SRSS-j1. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $l^{\pm}l^{\pm}$ signal region SRSS-j1. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $l^{\pm}l^{\pm}$ signal region SRSS-j23. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $l^{\pm}l^{\pm}$ signal region SRSS-j23. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $3L$ SFOS signal region SR3L-SFOS-1J. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $3L$ SFOS signal region SR3L-SFOS-1J. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $3L$ SFOS signal region SR3L-SFOS-0Ja. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $3L$ SFOS signal region SR3L-SFOS-0Ja. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $3L$ SFOS signal region SR3L-SFOS-0Jb. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $3L$ SFOS signal region SR3L-SFOS-0Jb. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $3L$ DFOS signal region SR3L-DFOS-0J. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $3L$ DFOS signal region SR3L-DFOS-0J. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $3L$ DFOS signal region SR3L-DFOS-1Ja. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $3L$ DFOS signal region SR3L-DFOS-1Ja. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $3L$ DFOS signal region SR3L-DFOS-1Jb. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $3L$ DFOS signal region SR3L-DFOS-1Jb. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Upper cross section limits for the $l^{\pm}l^{\pm}$ analysis.

Upper cross section limits for the $3l$ analysis.

Event selection cutflow for SM background (pre-fit) and representative signal samples for the $0lb\bar{b}$ SR. The masses of next-lightest-neutralinos and LSPs are reported. Only statistical uncertainties are shown. The MC statistics for the signal samples is 50K and 44K events, respectively. Samples are produced with generator filters which selects $h \rightarrow b\bar{b}$ and $W \rightarrow qq'$ decays. ``All events" for SUSY scenarios represent the total number of signal events for the models considered taking into account the BR of $W \rightarrow qq'$ (0.674) and $h \rightarrow b\bar{b}$ (0.582).

Event selection cutflow for SM background (pre-fit) and representative signal samples for the $1lb\bar{b}$ channel. The masses of next-lightest-neutralinos and LSPs are reported. Only statistical uncertainties are shown. The MC statistics for the signal samples is 28K, 29K and 29K events, respectively. Samples are produced with generator filters which selects $h \rightarrow b\bar{b}$ and $W \rightarrow l \nu$ decays. ``All events" for SUSY scenarios represent the total number of signal events for the models considered taking into account the BR of $W \rightarrow l \nu$ (0.324) and $h \rightarrow b\bar{b}$ (0.582).

Event selection cutflow is presented for SM background (pre-fit) and three signal scenarios for the $1l\gamma\gamma$ channel SRs. The masses of next-lightest-neutralinos and LSPs are reported. The uncertainties only include statistical uncertainties. The MC statistics for the signal samples is 10K events in all cases. Samples are produced with generator filters which selects $h \rightarrow \gamma\gamma$ and $W \rightarrow l \nu$ decays. The data-driven-estimated non-peaking background is not evaluated at each stage of the selection, hence only the peaking background cutflow is presented.

Event selection cutflow is presented for one signal scenario for SRSS-j23. The model with next-to-lightest neutralino mass of 175 GeV and massless $\tilde{\chi}^{0}_{1})$ with 100% BR is considered. The MC statistics for the signal samples is 75K events. Samples are produced with a generator filter which selects events with at least two leptons with $p_{\mathrm{T}} > 7$ GeV. ``2SS leptons" indicates the selection of two same-sign electrons or muons as described in the text (Section 6.4).

Event selection cutflow is presented for one signal scenario for SRSS-j1. The model with next-to-lightest neutralino mass of 175 GeV and massless $\tilde{\chi}^{0}_{1})$ with 100% BR is considered. The MC statistics for the signal samples is 75K events. Samples are produced with a generator filter which selects events with at least two leptons with $p_{\mathrm{T}} > 7$ GeV. ``2SS leptons" indicates the selection of two same-sign electrons or muons as described in the text (Section 6.4).

Event selection cut-flow is presented for one signal scenario for each signal regions. The model with next-to-lightest neutralino mass of 150 GeV and massless LSP with 100 \% BR is considered. The MC statistics for the signal samples is 123K events. Samples are produced with a generator filter which selects events with at least two leptons with pT $>$ 7 GeV. ``3L+Trigger" indicates three-lepton and trigger requirements. ``Preselection" includes the veto on bjets, ETmiss above 20 GeV and invariant mass of the three leptons above 20 GeV.

Observed 95% CL exclusion contours in the $(m_{N_R}, m_{W_R})$ plane in the muon channel.

rapidity bin 1.5 < |Y| < 2.0 anti-kt R=0.6

rapidity bin 2.0 < |Y| < 2.5 anti-kt R=0.6

rapidity bin 2.5 < |Y| < 3.0 anti-kt R=0.6

rapidity bin 0 < |Y| < 0.5 anti-kt R=0.4

rapidity bin 0.5 < |Y| < 1.0 anti-kt R=0.4

rapidity bin 1.0 < |Y| < 1.5 anti-kt R=0.4

rapidity bin 1.5 < |Y| < 2.0 anti-kt R=0.4

rapidity bin 2.0 < |Y| < 2.5 anti-kt R=0.4

rapidity bin 2.5 < |Y| < 3.0 anti-kt R=0.4

The systematic uncertainty on the unfolded distribution as a function of minimax-mbl, broken down by components.

The covariance matrix for the unfolded, normalized data in bins of minimax-mbl shown in Figure 2. Redundant entries are suppressed.

Leading lepton transverse momentum distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.

Sub-leading lepton transverse momentum distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.

Leading lepton pseudorapidity distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.

Sub-leading lepton pseudorapidity distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.

Leading b-jet transverse momentum distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.

Sub-leading b-jet transverse momentum distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.

Leading b-jet pseudorapidity distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.

Sub-leading b-jet pseudorapidity distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.

The detector-level minimax-m(bl) distribution for events entering the Z+jets control region.

The detector-level minimax-m(bl) distribution for events entering the same-sign lepton control region.

Normalized differential cross section, $(1/\sigma_\text{fid})d\sigma_\text{fid}/d\log(m_{bb}/p_\text{T})$, as a function of $\log(m_{bb}/p_\text{T})$ for $m_{bb}$ the invariant mass of the two b-jets.

Measured and expected differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ in bin of 50$< p_{T}^{4l} <$100 GeV

Measured and expected differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ in bin of 100$< p_{T}^{4l} <$600 GeV

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ in bin of 0.0$< y_{4l} <$0.4

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ in bin of 0.4$< y_{4l} <$0.8

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ in bin of 0.8$< y_{4l} <$1.2

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ in bin of 1.2$< y_{4l} <$2.5

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ for MELA$<$1.4 bin

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ for MELA$>$1.4 bin

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ for $\mu\mu\mu\mu$ events

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ for $eeee$ events

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ for $ee\mu\mu$ events

Systematic covariance matrix for the differential $m_{4l}$ distribution.

Statistical covariance matrix for the differential $m_{4l}$ distribution.

Background covariance matrix for the differential $m_{4l}$ distribution.

Systematic covariance matrix for the differential $m_{4l}$-$p_{T}^{4l}$ distribution.<br><br> Bins labelled 1-9 correspond to the 0$< p_{T}^{4l} < $20 GeV bin with $m_{4l}$ values as listed in Table 2.<br> Bins labelled 10-16 correspond to the 20$< p_{T}^{4l} <$50 GeV bin with $m_{4l}$ values as listed in Table 3.<br> Bins labelled 17-23 correspond to the 50$< p_{T}^{4l} <$100 GeV bin with $m_{4l}$ values as listed in Table 4.<br> Bins labelled 24-30 correspond to the 100$< p_{T}^{4l} <$600 GeV bin with $m_{4l}$ values as listed in Table 5.

Statistical covariance matrix for the differential $m_{4l}$-$p_{T}^{4l}$ distribution. <br><br> Bins labelled 1-9 correspond to the 0$< p_{T}^{4l} < $20 GeV bin with $m_{4l}$ values as listed in Table 2.<br> Bins labelled 10-16 correspond to the 20$< p_{T}^{4l} <$50 GeV bin with $m_{4l}$ values as listed in Table 3.<br> Bins labelled 17-23 correspond to the 50$< p_{T}^{4l} <$100 GeV bin with $m_{4l}$ values as listed in Table 4.<br> Bins labelled 24-30 correspond to the 100$< p_{T}^{4l} <$600 GeV bin with $m_{4l}$ values as listed in Table 5.

Background covariance matrix for the differential $m_{4l}$-$p_{T}^{4l}$ distribution. <br><br> Bins labelled 1-9 correspond to the 0$< p_{T}^{4l} < $20 GeV bin with $m_{4l}$ values as listed in Table 2.<br> Bins labelled 10-16 correspond to the 20$< p_{T}^{4l} <$50 GeV bin with $m_{4l}$ values as listed in Table 3.<br> Bins labelled 17-23 correspond to the 50$< p_{T}^{4l} <$100 GeV bin with $m_{4l}$ values as listed in Table 4.<br> Bins labelled 24-30 correspond to the 100$< p_{T}^{4l} <$600 GeV bin with $m_{4l}$ values as listed in Table 5.

Systematic covariance matrix for the differential $m_{4l}$-$y_{4l}$ distribution. <br><br> Bins labelled 1-9 correspond to the 0.0$< y_{4l} < $0.4 bin with $m_{4l}$ values as listed in Table 6.<br> Bins labelled 10-18 correspond to the 0.4$< y_{4l} <$0.8 bin with $m_{4l}$ values as listed in Table 7.<br> Bins labelled 19-26 correspond to the 0.8$< y_{4l} <$1.2 bin with $m_{4l}$ values as listed in Table 8.<br> Bins labelled 27-34 correspond to the 1.2$< y_{4l} <$2.5 bin with $m_{4l}$ values as listed in Table 9.

Statistical covariance matrix for the differential $m_{4l}$-$y_{4l}$ distribution. <br><br> Bins labelled 1-9 correspond to the 0.0$< y_{4l} < $0.4 bin with $m_{4l}$ values as listed in Table 6.<br> Bins labelled 10-18 correspond to the 0.4$< y_{4l} <$0.8 bin with $m_{4l}$ values as listed in Table 7.<br> Bins labelled 19-26 correspond to the 0.8$< y_{4l} <$1.2 bin with $m_{4l}$ values as listed in Table 8.<br> Bins labelled 27-34 correspond to the 1.2$< y_{4l} <$2.5 bin with $m_{4l}$ values as listed in Table 9.

Background covariance matrix for the differential $m_{4l}$-$y_{4l}$ distribution. <br><br> Bins labelled 1-9 correspond to the 0.0$< y_{4l} < $0.4 bin with $m_{4l}$ values as listed in Table 6.<br> Bins labelled 10-18 correspond to the 0.4$< y_{4l} <$0.8 bin with $m_{4l}$ values as listed in Table 7.<br> Bins labelled 19-26 correspond to the 0.8$< y_{4l} <$1.2 bin with $m_{4l}$ values as listed in Table 8.<br> Bins labelled 27-34 correspond to the 1.2$< y_{4l} <$2.5 bin with $m_{4l}$ values as listed in Table 9.

Systematic covariance matrix for the differential $m_{4l}$-MELA distribution. <br><br> Bins labelled 1-7 correspond to the MELA$<$ 0.4 bin with $m_{4l}$ values as listed in Table 10.<br> Bins labelled 8-12 correspond to the MELA$>$ 0.4 bin with $m_{4l}$ values as listed in Table 11.

Statistical covariance matrix for the differential $m_{4l}$-MELA distribution. <br><br> Bins labelled 1-7 correspond to the MELA$<$ 0.4 bin with $m_{4l}$ values as listed in Table 10.<br> Bins labelled 8-12 correspond to the MELA$>$ 0.4 bin with $m_{4l}$ values as listed in Table 11.

Background covariance matrix for the differential $m_{4l}$-MELA distribution. <br><br> Bins labelled 1-7 correspond to the MELA$<$ 0.4 bin with $m_{4l}$ values as listed in Table 10.<br> Bins labelled 8-12 correspond to the MELA$>$ 0.4 bin with $m_{4l}$ values as listed in Table 11.

Systematic covariance matrix for the differential $m_{4l}$-lepton flavour distribution. <br><br> Bins labelled 1-9 correspond to $\mu\mu\mu\mu$ events with $m_{4l}$ values as listed in Table 12.<br> Bins labelled 10-18 correspond to $eeee$ events with $m_{4l}$ values as listed in Table 13.<br> Bins labelled 19-27 correspond to $\mu\mu\mu\mu$ events with $m_{4l}$ values as listed in Table 14.<br>

Statistical covariance matrix for the differential $m_{4l}$-lepton flavour distribution. <br><br> Bins labelled 1-9 correspond to $\mu\mu\mu\mu$ events with $m_{4l}$ values as listed in Table 12.<br> Bins labelled 10-18 correspond to $eeee$ events with $m_{4l}$ values as listed in Table 13.<br> Bins labelled 19-27 correspond to $\mu\mu\mu\mu$ events with $m_{4l}$ values as listed in Table 14.<br>

Background covariance matrix for the differential $m_{4l}$-lepton flavour distribution. <br><br> Bins labelled 1-9 correspond to $\mu\mu\mu\mu$ events with $m_{4l}$ values as listed in Table 12.<br> Bins labelled 10-18 correspond to $eeee$ events with $m_{4l}$ values as listed in Table 13.<br> Bins labelled 19-27 correspond to $\mu\mu\mu\mu$ events with $m_{4l}$ values as listed in Table 14.<br>

Dijet mass distribution for the b-tagged category. Data, estimated background and uncertainties are shown. Events are collected using the combined trigger and contain a $E_T^{\gamma} > 95$ GeV photon and two $p_T^{jet} > 65$ GeV jets.

Upper limits on Gaussian-shape contributions to the dijet mass distributions from the flavour-inclusive category and masses below 450 GeV, for which the single-photon trigger was used.

Upper limits on Gaussian-shape contributions to the dijet mass distributions from the flavour-inclusive category and masses above 450 GeV, for which the combined trigger was used.

Upper limits on Gaussian-shape contributions to the dijet mass distributions from the b-tagged category and masses below 450 GeV, for which the single-photon trigger was used.

Upper limits on Gaussian-shape contributions to the dijet mass distributions from the b-tagged category and masses above 450 GeV, for which the combined trigger was used.

Kinematic acceptance values predicted for the $Z'$ model as a function of mass $m_{Z'}$ for the flavour-inclusive category using the single-photon trigger.

Kinematic acceptance values predicted for the $Z'$ model as a function of mass $m_{Z'}$ for the flavour-inclusive category using the combined trigger.

Kinematic acceptance values predicted for the $Z'$ model as a function of mass $m_{Z'}$ for the b-tagged category using the single-photon trigger.

Kinematic acceptance values predicted for the $Z'$ model as a function of mass $m_{Z'}$ for the b-tagged category using the combined trigger.

Reconstruction efficiency for $Z'$ model, flavour inclusive category, single-photon trigger.

Reconstruction efficiency for $Z'$ model, flavour inclusive category, combined trigger.

Reconstruction efficiency for $Z'$ model, b-tagged category, single-photon trigger.

Reconstruction efficiency for $Z'$ model, b-tagged category, combined trigger.

C_N(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (240<=Nch<260)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (220<=Nch<240)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (220<=Nch<240)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (200<=Nch<220)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (200<=Nch<220)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (180<=Nch<200)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (180<=Nch<200)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (160<=Nch<180)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (160<=Nch<180)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (140<=Nch<160)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (140<=Nch<160)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (120<=Nch<140)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (120<=Nch<140)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (100<=Nch<120)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (100<=Nch<120)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (80<=Nch<100)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (80<=Nch<100)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (60<=Nch<80)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (60<=Nch<80)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (40<=Nch<60)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (40<=Nch<60)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (20<=Nch<40)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (20<=Nch<40)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (10<=Nch<20)

C_N(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (10<=Nch<20)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (260<=Nch<300)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (260<=Nch<300)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (240<=Nch<260)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (240<=Nch<260)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (220<=Nch<240)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (220<=Nch<240)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (200<=Nch<220)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (200<=Nch<220)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (180<=Nch<200)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (180<=Nch<200)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (160<=Nch<180)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (160<=Nch<180)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (140<=Nch<160)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (140<=Nch<160)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (120<=Nch<140)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (120<=Nch<140)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (100<=Nch<120)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (100<=Nch<120)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (80<=Nch<100)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (80<=Nch<100)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (60<=Nch<80)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (60<=Nch<80)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (40<=Nch<60)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (40<=Nch<60)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (20<=Nch<40)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (20<=Nch<40)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (10<=Nch<20)

SRC(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (10<=Nch<20)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (260<=Nch<300)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (260<=Nch<300)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (240<=Nch<260)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (240<=Nch<260)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (220<=Nch<240)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (220<=Nch<240)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (200<=Nch<220)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (200<=Nch<220)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (180<=Nch<200)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (180<=Nch<200)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (160<=Nch<180)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (160<=Nch<180)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (140<=Nch<160)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (140<=Nch<160)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (120<=Nch<140)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (120<=Nch<140)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (100<=Nch<120)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (100<=Nch<120)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (80<=Nch<100)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (80<=Nch<100)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (60<=Nch<80)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (60<=Nch<80)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (40<=Nch<60)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (40<=Nch<60)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (20<=Nch<40)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (20<=Nch<40)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.5GeV, (10<=Nch<20)

C_N^sub(eta_1, eta_2) for Pb+Pb, pT>0.2GeV, (10<=Nch<20)

C_N(eta_1, eta_2) for p+Pb, pT>0.5GeV, (260<=Nch<300)

C_N(eta_1, eta_2) for p+Pb, pT>0.2GeV, (260<=Nch<300)

C_N(eta_1, eta_2) for p+Pb, pT>0.5GeV, (240<=Nch<260)

C_N(eta_1, eta_2) for p+Pb, pT>0.2GeV, (240<=Nch<260)

C_N(eta_1, eta_2) for p+Pb, pT>0.5GeV, (220<=Nch<240)

C_N(eta_1, eta_2) for p+Pb, pT>0.2GeV, (220<=Nch<240)

C_N(eta_1, eta_2) for p+Pb, pT>0.5GeV, (200<=Nch<220)

C_N(eta_1, eta_2) for p+Pb, pT>0.2GeV, (200<=Nch<220)

C_N(eta_1, eta_2) for p+Pb, pT>0.5GeV, (180<=Nch<200)

C_N(eta_1, eta_2) for p+Pb, pT>0.2GeV, (180<=Nch<200)

C_N(eta_1, eta_2) for p+Pb, pT>0.5GeV, (160<=Nch<180)

C_N(eta_1, eta_2) for p+Pb, pT>0.2GeV, (160<=Nch<180)

C_N(eta_1, eta_2) for p+Pb, pT>0.5GeV, (140<=Nch<160)

C_N(eta_1, eta_2) for p+Pb, pT>0.2GeV, (140<=Nch<160)

C_N(eta_1, eta_2) for p+Pb, pT>0.5GeV, (120<=Nch<140)

C_N(eta_1, eta_2) for p+Pb, pT>0.2GeV, (120<=Nch<140)

C_N(eta_1, eta_2) for p+Pb, pT>0.5GeV, (100<=Nch<120)

C_N(eta_1, eta_2) for p+Pb, pT>0.2GeV, (100<=Nch<120)

C_N(eta_1, eta_2) for p+Pb, pT>0.5GeV, (80<=Nch<100)

C_N(eta_1, eta_2) for p+Pb, pT>0.2GeV, (80<=Nch<100)

C_N(eta_1, eta_2) for p+Pb, pT>0.5GeV, (60<=Nch<80)

C_N(eta_1, eta_2) for p+Pb, pT>0.2GeV, (60<=Nch<80)

C_N(eta_1, eta_2) for p+Pb, pT>0.5GeV, (40<=Nch<60)

C_N(eta_1, eta_2) for p+Pb, pT>0.2GeV, (40<=Nch<60)

C_N(eta_1, eta_2) for p+Pb, pT>0.5GeV, (20<=Nch<40)

C_N(eta_1, eta_2) for p+Pb, pT>0.2GeV, (20<=Nch<40)

C_N(eta_1, eta_2) for p+Pb, pT>0.5GeV, (10<=Nch<20)

C_N(eta_1, eta_2) for p+Pb, pT>0.2GeV, (10<=Nch<20)

SRC(eta_1, eta_2) for p+Pb, pT>0.5GeV, (260<=Nch<300)

SRC(eta_1, eta_2) for p+Pb, pT>0.2GeV, (260<=Nch<300)

SRC(eta_1, eta_2) for p+Pb, pT>0.5GeV, (240<=Nch<260)

SRC(eta_1, eta_2) for p+Pb, pT>0.2GeV, (240<=Nch<260)

SRC(eta_1, eta_2) for p+Pb, pT>0.5GeV, (220<=Nch<240)

SRC(eta_1, eta_2) for p+Pb, pT>0.2GeV, (220<=Nch<240)

SRC(eta_1, eta_2) for p+Pb, pT>0.5GeV, (200<=Nch<220)

SRC(eta_1, eta_2) for p+Pb, pT>0.2GeV, (200<=Nch<220)

SRC(eta_1, eta_2) for p+Pb, pT>0.5GeV, (180<=Nch<200)

SRC(eta_1, eta_2) for p+Pb, pT>0.2GeV, (180<=Nch<200)

SRC(eta_1, eta_2) for p+Pb, pT>0.5GeV, (160<=Nch<180)

SRC(eta_1, eta_2) for p+Pb, pT>0.2GeV, (160<=Nch<180)

SRC(eta_1, eta_2) for p+Pb, pT>0.5GeV, (140<=Nch<160)

SRC(eta_1, eta_2) for p+Pb, pT>0.2GeV, (140<=Nch<160)

SRC(eta_1, eta_2) for p+Pb, pT>0.5GeV, (120<=Nch<140)

SRC(eta_1, eta_2) for p+Pb, pT>0.2GeV, (120<=Nch<140)

SRC(eta_1, eta_2) for p+Pb, pT>0.5GeV, (100<=Nch<120)

SRC(eta_1, eta_2) for p+Pb, pT>0.2GeV, (100<=Nch<120)

SRC(eta_1, eta_2) for p+Pb, pT>0.5GeV, (80<=Nch<100)

SRC(eta_1, eta_2) for p+Pb, pT>0.2GeV, (80<=Nch<100)

SRC(eta_1, eta_2) for p+Pb, pT>0.5GeV, (60<=Nch<80)

SRC(eta_1, eta_2) for p+Pb, pT>0.2GeV, (60<=Nch<80)

SRC(eta_1, eta_2) for p+Pb, pT>0.5GeV, (40<=Nch<60)

SRC(eta_1, eta_2) for p+Pb, pT>0.2GeV, (40<=Nch<60)

SRC(eta_1, eta_2) for p+Pb, pT>0.5GeV, (20<=Nch<40)

SRC(eta_1, eta_2) for p+Pb, pT>0.2GeV, (20<=Nch<40)

SRC(eta_1, eta_2) for p+Pb, pT>0.5GeV, (10<=Nch<20)

SRC(eta_1, eta_2) for p+Pb, pT>0.2GeV, (10<=Nch<20)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.5GeV, (260<=Nch<300)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.2GeV, (260<=Nch<300)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.5GeV, (240<=Nch<260)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.2GeV, (240<=Nch<260)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.5GeV, (220<=Nch<240)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.2GeV, (220<=Nch<240)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.5GeV, (200<=Nch<220)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.2GeV, (200<=Nch<220)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.5GeV, (180<=Nch<200)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.2GeV, (180<=Nch<200)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.5GeV, (160<=Nch<180)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.2GeV, (160<=Nch<180)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.5GeV, (140<=Nch<160)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.2GeV, (140<=Nch<160)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.5GeV, (120<=Nch<140)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.2GeV, (120<=Nch<140)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.5GeV, (100<=Nch<120)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.2GeV, (100<=Nch<120)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.5GeV, (80<=Nch<100)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.2GeV, (80<=Nch<100)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.5GeV, (60<=Nch<80)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.2GeV, (60<=Nch<80)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.5GeV, (40<=Nch<60)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.2GeV, (40<=Nch<60)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.5GeV, (20<=Nch<40)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.2GeV, (20<=Nch<40)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.5GeV, (10<=Nch<20)

C_N^sub(eta_1, eta_2) for p+Pb, pT>0.2GeV, (10<=Nch<20)

C_N(eta_1, eta_2) for pp, pT>0.5GeV, (140<=Nch<160)

C_N(eta_1, eta_2) for pp, pT>0.2GeV, (140<=Nch<160)

C_N(eta_1, eta_2) for pp, pT>0.5GeV, (120<=Nch<140)

C_N(eta_1, eta_2) for pp, pT>0.2GeV, (120<=Nch<140)

C_N(eta_1, eta_2) for pp, pT>0.5GeV, (100<=Nch<120)

C_N(eta_1, eta_2) for pp, pT>0.2GeV, (100<=Nch<120)

C_N(eta_1, eta_2) for pp, pT>0.5GeV, (80<=Nch<100)

C_N(eta_1, eta_2) for pp, pT>0.2GeV, (80<=Nch<100)

C_N(eta_1, eta_2) for pp, pT>0.5GeV, (60<=Nch<80)

C_N(eta_1, eta_2) for pp, pT>0.2GeV, (60<=Nch<80)

C_N(eta_1, eta_2) for pp, pT>0.5GeV, (40<=Nch<60)

C_N(eta_1, eta_2) for pp, pT>0.2GeV, (40<=Nch<60)

C_N(eta_1, eta_2) for pp, pT>0.5GeV, (20<=Nch<40)

C_N(eta_1, eta_2) for pp, pT>0.2GeV, (20<=Nch<40)

C_N(eta_1, eta_2) for pp, pT>0.5GeV, (10<=Nch<20)

C_N(eta_1, eta_2) for pp, pT>0.2GeV, (10<=Nch<20)

SRC(eta_1, eta_2) for pp, pT>0.5GeV, (140<=Nch<160)

SRC(eta_1, eta_2) for pp, pT>0.2GeV, (140<=Nch<160)

SRC(eta_1, eta_2) for pp, pT>0.5GeV, (120<=Nch<140)

SRC(eta_1, eta_2) for pp, pT>0.2GeV, (120<=Nch<140)

SRC(eta_1, eta_2) for pp, pT>0.5GeV, (100<=Nch<120)

SRC(eta_1, eta_2) for pp, pT>0.2GeV, (100<=Nch<120)

SRC(eta_1, eta_2) for pp, pT>0.5GeV, (80<=Nch<100)

SRC(eta_1, eta_2) for pp, pT>0.2GeV, (80<=Nch<100)

SRC(eta_1, eta_2) for pp, pT>0.5GeV, (60<=Nch<80)

SRC(eta_1, eta_2) for pp, pT>0.2GeV, (60<=Nch<80)

SRC(eta_1, eta_2) for pp, pT>0.5GeV, (40<=Nch<60)

SRC(eta_1, eta_2) for pp, pT>0.2GeV, (40<=Nch<60)

SRC(eta_1, eta_2) for pp, pT>0.5GeV, (20<=Nch<40)

SRC(eta_1, eta_2) for pp, pT>0.2GeV, (20<=Nch<40)

SRC(eta_1, eta_2) for pp, pT>0.5GeV, (10<=Nch<20)

SRC(eta_1, eta_2) for pp, pT>0.2GeV, (10<=Nch<20)

C_N^sub(eta_1, eta_2) for pp, pT>0.5GeV, (140<=Nch<160)

C_N^sub(eta_1, eta_2) for pp, pT>0.2GeV, (140<=Nch<160)

C_N^sub(eta_1, eta_2) for pp, pT>0.5GeV, (120<=Nch<140)

C_N^sub(eta_1, eta_2) for pp, pT>0.2GeV, (120<=Nch<140)

C_N^sub(eta_1, eta_2) for pp, pT>0.5GeV, (100<=Nch<120)

C_N^sub(eta_1, eta_2) for pp, pT>0.2GeV, (100<=Nch<120)

C_N^sub(eta_1, eta_2) for pp, pT>0.5GeV, (80<=Nch<100)

C_N^sub(eta_1, eta_2) for pp, pT>0.2GeV, (80<=Nch<100)

C_N^sub(eta_1, eta_2) for pp, pT>0.5GeV, (60<=Nch<80)

C_N^sub(eta_1, eta_2) for pp, pT>0.2GeV, (60<=Nch<80)

C_N^sub(eta_1, eta_2) for pp, pT>0.5GeV, (40<=Nch<60)

C_N^sub(eta_1, eta_2) for pp, pT>0.2GeV, (40<=Nch<60)

C_N^sub(eta_1, eta_2) for pp, pT>0.5GeV, (20<=Nch<40)

C_N^sub(eta_1, eta_2) for pp, pT>0.2GeV, (20<=Nch<40)

C_N^sub(eta_1, eta_2) for pp, pT>0.5GeV, (10<=Nch<20)

C_N^sub(eta_1, eta_2) for pp, pT>0.2GeV, (10<=Nch<20)

<a_n a_m> for Pb+Pb, pT>0.5GeV, 260<=Nch<300, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 260<=Nch<300, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 260<=Nch<300, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 260<=Nch<300, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 260<=Nch<300, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 260<=Nch<300, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 240<=Nch<260, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 240<=Nch<260, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 240<=Nch<260, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 240<=Nch<260, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 240<=Nch<260, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 240<=Nch<260, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 220<=Nch<240, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 220<=Nch<240, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 220<=Nch<240, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 220<=Nch<240, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 220<=Nch<240, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 220<=Nch<240, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 200<=Nch<220, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 200<=Nch<220, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 200<=Nch<220, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 200<=Nch<220, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 200<=Nch<220, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 200<=Nch<220, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 180<=Nch<200, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 180<=Nch<200, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 180<=Nch<200, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 180<=Nch<200, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 180<=Nch<200, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 180<=Nch<200, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 160<=Nch<180, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 160<=Nch<180, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 160<=Nch<180, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 160<=Nch<180, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 160<=Nch<180, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 160<=Nch<180, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 140<=Nch<160, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 140<=Nch<160, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 140<=Nch<160, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 140<=Nch<160, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 140<=Nch<160, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 140<=Nch<160, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 120<=Nch<140, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 120<=Nch<140, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 120<=Nch<140, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 120<=Nch<140, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 120<=Nch<140, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 120<=Nch<140, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 100<=Nch<120, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 100<=Nch<120, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 100<=Nch<120, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 100<=Nch<120, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 100<=Nch<120, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 100<=Nch<120, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 80<=Nch<100, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 80<=Nch<100, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 80<=Nch<100, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 80<=Nch<100, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 80<=Nch<100, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 80<=Nch<100, w SRC, all pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 60<=Nch<80, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 60<=Nch<80, w SRC, opposite pairs

<a_n a_m> for Pb+Pb, pT>0.5GeV, 60<=Nch<80, w SRC, same pairs

<a_n a_m> for Pb+Pb, pT>0.2GeV, 60<=Nch<80, w SRC, same pairs