Number of predicted signal events in the $\mu\mu X$ final states, for several benchmark signal hypotheses for Majorana HNL. The quoted uncertainties include statistical and systematic uncertainties.

The 95% CL limits on $|V_{Ne}|^2$ as a function of the HNL mass for a Majorana HNL. Values of $-1$ indicate that no limit is available for the mass point.

The 95% CL limits on $|V_{N\mu}|^2$ as a function of the HNL mass for a Majorana HNL. Values of $-1$ indicate that no limit is available for the mass point.

The 95% CL limits on $|V_{Ne}|^2$ as a function of the HNL mass for a Dirac HNL. Values of $-1$ indicate that no limit is available for the mass point.

The 95% CL limits on $|V_{N\mu}|^2$ as a function of the HNL mass for a Dirac HNL. Values of $-1$ indicate that no limit is available for the mass point.

Covariance matrix for the background prediction in the signal region bins for the $eeX$ final states. The bin labels specify the channel, the $m(\ell_2,\ell_3)$ bin, and the $\Delta_{\mathrm{2D}}$ bin.

Covariance matrix for the background prediction in the signal region bins for the $\mu\mu X$ final states. The bin labels specify the channel, the $m(\ell_2,\ell_3)$ bin, and the $\Delta_{\mathrm{2D}}$ bin.

Correlation matrix for the background prediction the signal region bins for the $eeX$ final states. The bin labels specify the channel, the $m(\ell_2,\ell_3)$ bin, and the $\Delta_{\mathrm{2D}}$ bin.

Correlation matrix for the background prediction the signal region bins for the $\mu\mu X$ final states. The bin labels specify the channel, the $m(\ell_2,\ell_3)$ bin, and the $\Delta_{\mathrm{2D}}$ bin.

Mean lifetime and production cross section for HNLs of Majorana nature, assuming the decay to three charged leptons and coupling to only electrons or muons, as evaluated from simulated event samples.

The $m_{lJ}$ distribution in the boosted DY control region, muon channel.

The $m_{lljj}$ distribution in the resolved flavor control region.

The $m_{lJ}$ distribution in the boosted flavor control region, with electron jet.

The $m_{lJ}$ distribution in the boosted flavor control region, with muon jet

The $m_{lljj}$ distribution in the resolved signal region, electron channel.

The $m_{lljj}$ distribution in the resolved signal region, muon channel.

The $m_{lJ}$ distribution in the boosted signal region, electron channel.

The $m_{lJ}$ distribution in the boosted signal region, muon channel.

The expected and observed $95\%$ CL upper limits on the production cross section times the branching fraction $\sigma (\mathrm{p}\mathrm{p} \rightarrow W_{R}) \mathcal{B}(W_{R} \rightarrow \mathrm{e}\mathrm{e}\mathrm{q}\overline{\mathrm{q}'})$ for $m_{N} = m_{W_{R}}/2$ GeV in the electron channel. The red solid lines represent the values expected from the theory.

The expected and observed $95\%$ CL upper limits on the production cross section times the branching fraction $\sigma (\mathrm{p}\mathrm{p} \rightarrow W_{R}) \mathcal{B}(W_{R} \rightarrow \mathrm{e}\mathrm{e}\mathrm{q}\overline{\mathrm{q}'})$ for $m_{N} = m_{W_{R}}/2$ GeV in the muon channel. The red solid lines represent the values expected from the theory.

The expected and observed $95\%$ CL upper limits on the production cross section times the branching fraction $\sigma (\mathrm{p}\mathrm{p} \rightarrow W_{R}) \mathcal{B}(W_{R} \rightarrow \mathrm{e}\mathrm{e}\mathrm{q}\overline{\mathrm{q}'})$ for $m_{N} = 200$ GeV in the electron channel. The red solid lines represent the values expected from the theory.

The expected and observed $95\%$ CL upper limits on the production cross section times the branching fraction $\sigma (\mathrm{p}\mathrm{p} \rightarrow W_{R}) \mathcal{B}(W_{R} \rightarrow \mathrm{e}\mathrm{e}\mathrm{q}\overline{\mathrm{q}'})$ for $m_{N} = 200$ GeV in the muon channel. The red solid lines represent the values expected from the theory.

The observed $95\%$ CL upper limits on the production cross section times the branching fraction $\sigma (\mathrm{p}\mathrm{p} \rightarrow W_{R}) \mathcal{B}(W_{R} \rightarrow \mathrm{e}\mathrm{e}\mathrm{q}\overline{\mathrm{q}'})$ divided by the theory cross sections in the electron channel. The observed exclusions are shown for the resolved (solid green), boosted (solid blue), and combined (solid black) channels, along with the expected exclusion for the combined result (dotted black). The dash-dotted lines represent the one standard deviation of the expected exclusion. The observed exclusions from the previous search performed by the CMS Collaboration (arXiv:1803.11116) is also shown in magenta.

The observed $95\%$ CL upper limits on the production cross section times the branching fraction $\sigma (\mathrm{p}\mathrm{p} \rightarrow W_{R}) \mathcal{B}(W_{R} \rightarrow \mathrm{e}\mathrm{e}\mathrm{q}\overline{\mathrm{q}'})$ divided by the theory cross sections in the muon channel. The observed exclusions are shown for the resolved (solid green), boosted (solid blue), and combined (solid black) channels, along with the expected exclusion for the combined result (dotted black). The dash-dotted lines represent the one standard deviation of the expected exclusion. The observed exclusions from the previous search performed by the CMS Collaboration (arXiv:1803.11116) is also shown in magenta.

Relative uncertainties in the total yields of the signal and background predictions.

Covariance matrix for all bins used in the background-only fit of the electron channel of this analysis. There are 243 bins in total, 81 for every data-taking year. For every year, each region has nine bins and the bins are grouped by rergion in the following order: ee boosted DY CR, #mu-jet flavor CR, ee resolved DY CR, resolved flavor CR, ee boosted SR, ee resolved SR, #mu#mu boosted DY CR, e-jet flavor CR, and #mu#mu resolved DY CR.

Covariance matrix for all bins used in the background-only fit of the muon channel of this analysis. There are 243 bins in total, 81 for every data-taking year. For every year, each region has nine bins and the bins are grouped by rergion in the following order: ee boosted DY CR, #mu-jet flavor CR, ee resolved DY CR, #mu#mu boosted DY CR, e-jet flavor CR, $#mu#mu$ resolved DY CR, resolved flavor CR, #mu#mu boosted SR, and the #mu#mu resolved SR.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $m_{W_{R}} = 0.3$, 0.4, and 0.5 TeV and $m_{N} = 0.2$ TeV signal hypotheses for the boosted , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (3.0,1.4)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (4.0,2.0)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (5.0,3.0)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $m_{W_{R}} = 0.3$, 0.4, and 0.5 TeV and $m_{N} = 0.2$ TeV signal hypotheses for the boosted , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (3.0,1.4)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (4.0,2.0)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (5.0,3.0)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $m_{W_{R}} = 0.3$, 0.4, and 0.5 TeV and $m_{N} = 0.2$ TeV signal hypotheses for the boosted , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (3.0,1.4)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (4.0,2.0)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (5.0,3.0)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $m_{W_{R}} = 0.3$, 0.4, and 0.5 TeV and $m_{N} = 0.2$ TeV signal hypotheses for the boosted , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (3.0,1.4)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (4.0,2.0)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (5.0,3.0)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $m_{W_{R}} = 0.3$, 0.4, and 0.5 TeV and $m_{N} = 0.2$ TeV signal hypotheses for the boosted , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (3.0,1.4)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (4.0,2.0)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (5.0,3.0)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $m_{W_{R}} = 0.3$, 0.4, and 0.5 TeV and $m_{N} = 0.2$ TeV signal hypotheses for the boosted , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (3.0,1.4)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (4.0,2.0)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (5.0,3.0)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Cross sections calculated to next-to-leading (NLO) accuracy

Measured DPS effective cross section

pp -> J/psi J/psi J/psi X cross section

$pp \rightarrow J/\psi J/\psi J/\psi X~$ fiducial cross section

Distribution of $m_{\mathrm{jjj}}$ for preselected events with $\mathrm{N}_{j}$ = 3

Distribution of $m_{\mathrm{j}}$ for preselected events with $\mathrm{N}_{j}$ = 3

Distribution of the deep-WH value of the highest-mass jet with 60 < $m_{\mathrm{j}}$ < 100 GeV for preselected events with $\mathrm{N}_{j}$ = 3

scale factors (SFs) for W, $t^{2}$, and q/g matched jets in the low-$m_{\mathrm{j}}$ and low-$p_{\mathrm{T}}$ (LL) bin, as functions of the deep-W discriminant value.

scale factors (SFs) for W, $t^{2}$, and q/g matched jets in the low-$m_{\mathrm{j}}$ and high-$p_{\mathrm{T}}$ (LH) bin, as functions of the deep-W discriminant value.

scale factors (SFs) for $t^{2}$, $t^{3,4}$, and q/g matched jets in the high-$m_{\mathrm{j}}$ and low-$p_{\mathrm{T}}$ (HL) bin, as functions of the deep-WH discriminant value.

scale factors (SFs) for $t^{2}$, $t^{3,4}$, and q/g matched jets in the high-$m_{\mathrm{j}}$ and high-$p_{\mathrm{T}}$ (HH) bin, as functions of the deep-WH discriminant value.

The deep-W discriminant of the jet with highest mass in the single-lepton sideband for LL samples.

The deep-W discriminant of the jet with highest mass in the single-lepton sideband for LH samples.

The deep-WH discriminant of the jet with highest mass in the single-lepton sideband for HL samples.

The deep-WH discriminant of the jet with highest mass in the single-lepton sideband for HH samples.

Comparison of the distribution of data and simulated backgrounds, as a function of the deep-W discriminant value for the highest-mass jet in CR1, after the scale factors have been applied.

Comparison of the distribution of data and simulated backgrounds, as a function of the deep-WH discriminant value for the highest-mass jet in CR2, after the scale factors have been applied.

Comparison of the distribution of data and simulated backgrounds, as a function of the deep-WH discriminant value for the highest-mass jet in CR3, after the scale factors have been applied.

Comparison of the distribution of data and simulated backgrounds, as a function of the deep-W discriminant value for the highest-mass jet in CR45, after the scale factors have been applied.

Comparison of the distribution of data and simulated backgrounds, as a function of the deep-W discriminant value for the highest-mass jet in CR6, after the scale factors have been applied.

The $m_{\mathrm{j}^{\mathrm{max}}}$ distributions for different jet types for SR1–3 events of the signal with $m_{\mathrm{W}_{\mathrm{KK}}}$ = 2.5 TeV, $m_{\mathrm{R}}$ = 0.2 TeV$ without deep-W (WH) constraints.

The deep-W distribution normalized to unity for the shown components of of the signal with $m_{\mathrm{W}_{\mathrm{KK}}}$ = 2.5 TeV, $m_{\mathrm{R}}$ = 0.2 TeV. The $t^{3,4}$ jets from the preselected sample, normalized to unity, are superimposed to compare shapes with the $R^{3q}$ and $R^{4q}$ distributions.

The deep-WH distribution normalized to unity for the shown components of of the signal with $m_{\mathrm{W}_{\mathrm{KK}}}$ = 2.5 TeV, $m_{\mathrm{R}}$ = 0.2 TeV. The $t^{3,4}$ jets from the preselected sample, normalized to unity, are superimposed to compare shapes with the $R^{3q}$ and $R^{4q}$ distributions.

The $m_{\mathrm{jj}}$ distribution for CR1 for data and simulation.

The $m_{\mathrm{jj}}$ distribution for CR2 for data and simulation.

The $m_{\mathrm{jj}}$ distribution for CR3 for data and simulation.

The $m_{\mathrm{jjj}}$ distribution for CR45 for data and simulation.

The $m_{\mathrm{jjj}}$ distribution for CR6 for data and simulation.

Post-fit distributions of the reconstructed triboson system ($m_{\mathrm{jj}}$) in data and simulation for SR1.

Post-fit distributions of the reconstructed triboson system ($m_{\mathrm{jj}}$) in data and simulation for SR2.

Post-fit distributions of the reconstructed triboson system ($m_{\mathrm{jj}}$) in data and simulation for SR3.

Post-fit distributions of the reconstructed triboson system ($m_{\mathrm{jjj}}$) in data and simulation for SR4.

Post-fit distributions of the reconstructed triboson system ($m_{\mathrm{jjj}}$) in data and simulation for SR5.

Post-fit distributions of the reconstructed triboson system ($m_{\mathrm{jjj}}$) in data and simulation for SR6.

Observed upper limits at $95\%$ CL on the signal cross section $\times$ branching fraction as functions of the $m_{\mathrm{W}_{\mathrm{KK}}}$ and $m_{\mathrm{R}}$ resonance masses.

Expected median lower limit contour on the $m_{\mathrm{W}_{\mathrm{KK}}}$ and $m_{\mathrm{R}}$ plane.

Expected $+ 1$ s.d. lower limit contour on the $m_{\mathrm{W}_{\mathrm{KK}}}$ and $m_{\mathrm{R}}$ plane.

Expected - 1 s.d. lower limit contour on the $m_{\mathrm{W}_{\mathrm{KK}}}$ and $m_{\mathrm{R}}$ plane.

Observed lower limit contour on the $m_{\mathrm{W}_{\mathrm{KK}}}$ and $m_{\mathrm{R}}$ plane.

SR1 diboson invariant mass distribution in the resolved tagged category after fitting the signal and sideband regions using a signal (ALP linear ZZ) plus background model. The last bin includes events with diboson invariant masses up to 3000 GeV. The signal is normalized to the 95% CL cross section limit at $f_a$ = 3 TeV (the scale factor used in the original figure for better visibility is not applied here).

SR2 diboson invariant mass distribution in the boosted untagged category after fitting the signal and sideband regions using a signal (ALP chiral ZH) plus background model. The last bin includes events with diboson invariant masses up to 3000 GeV. The signal is normalized to the 95% CL cross section limit at $f_a$ = 3 TeV (the scale factor used in the original figure for better visibility is not applied here).

SR2 diboson invariant mass distribution in the boosted tagged category after fitting the signal and sideband regions using a signal (ALP chiral ZH) plus background model. The last bin includes events with diboson invariant masses up to 3000 GeV. The signal is normalized to the 95% CL cross section limit at $f_a$ = 3 TeV.

SR2 diboson invariant mass distribution in the resolved untagged category after fitting the signal and sideband regions using a signal (ALP chiral ZH) plus background model. The last bin includes events with diboson invariant masses up to 3000 GeV. The signal is normalized to the 95% CL cross section limit at $f_a$ = 3 TeV (the scale factor used in the original figure for better visibility is not applied here).

SR2 diboson invariant mass distribution in the resolved tagged category after fitting the signal and sideband regions using a signal (ALP chiral ZH) plus background model. The last bin includes events with diboson invariant masses up to 3000 GeV. The signal is normalized to the 95% CL cross section limit at $f_a$ = 3 TeV (the scale factor used in the original figure for better visibility is not applied here).

Observed and expected 95% CL upper limit on $\sigma \mathcal{B}$(G -> ZZ) as a function of the resonance mass, taking into account all statistical and systematic uncertainties. The electron and muon channels and the various categories used in the analysis are combined. The inner green band and the outer yellow band represent the 68 and 95% coverage of the expected limits in the background-only hypothesis.

Observed and expected 95% CL upper limit on $\sigma \mathcal{B}$(W' -> ZW) as a function of the resonance mass, taking into account all statistical and systematic uncertainties. The electron and muon channels and the various categories used in the analysis are combined. The inner green band and the outer yellow band represent the 68 and 95% coverage of the expected limits in the background-only hypothesis.

Observed and expected 95% CL upper limit on the product of the ALP coupling to gluons and the coupling to Z bosons as a function of the mass scale $f_a$ for ALP masses smaller than 100 GeV.

Observed and expected 95% CL upper limit on the product of the ALP coupling to gluons and the chiral $a_\widetilde{2D}$ coupling as a function of the mass scale $f_a$ for ALP masses smaller than 100 GeV.

Distribution of the three leading leptons flavour in the SR-WZ with uncertainties evaluated after the inclusive cross section fit

Efficiency, acceptance, and proportion of events with leptonic tau decays in WZ production

WZ fiducial cross section in the four flavour exclusive and the flavour inclusive channels

WZ total cross section extrapolated from the four flavour exclusive and the flavour inclusive channels

Distribution of the total lepton charge in the SR-WZ with uncertainties evaluated after the inclusive cross section fit

W$^{+}$Z fiducial cross section in the four flavour exclusive and the flavour inclusive channels

W$^{-}$Z fiducial cross section in the four flavour exclusive and the flavour inclusive channels

WZ charge asymmetry ratio measured on each of the four flavour exclusive and the flavour inclusive channels

Distribution of the cosine of the W polarization angle times total lepton charge in the SR-WZ with uncertainties evaluated after the W polarization fit

Distribution of the cosine of the Z polarization angle in the SR-WZ with uncertainties evaluated after the Z polarization fit

Best fits to the W and Z polarization fractions

2D confidence regions at the 68, 95, and 99% CL in the $f_O^W$-$f_{L}^W-f_R^W$ plane

2D confidence regions at the 68, 95, and 99% CL in the $f_O^Z$-$f_{L}^Z-f_R^Z$ plane

Distribution of the invariant mass of the WZ system in the SR-WZ with uncertainties evaluated after the inclusive cross section fit

Best fit values and one dimensional confidence regions in several EFT coefficients obtained from the EFT fit considering both the SM interferences and purely BSM (order $\Lambda^{-2}$ and $\Lambda^{-4}$) terms

2D confidence regions at the 68, 95, and 99% CL in the $c_{www}$-$c_{w}$ plane

2D confidence regions at the 68, 95, and 99% CL in the $c_{w}$-$c_{b}$ plane

2D confidence regions at the 68, 95, and 99% CL in the $c_{www}$-$c_{w}$ plane

Best fit values and one dimensional confidence regions in several EFT coefficients obtained from the EFT fit considering only the SM-EFT interference (order $\Lambda^{-2}$) terms

Evolution of the best fit and expected and observed 95% CI for the $c_{w}$ parameter as a function of the cutoff scale

Evolution of the best fit and expected and observed 95% CI for the $c_{b}$ parameter as a function of the cutoff scale

Evolution of the best fit and expected and observed 95% CI for the $c_{www}$ parameter as a function of the cutoff scale

Evolution of the best fit and expected and observed 95% CI for the $\tilde{c}_{www}$ parameter as a function of the cutoff scale

Evolution of the best fit and expected and observed 95% CI for the $\tilde{c}_{w}$ parameter as a function of the cutoff scale

Differential cross section with respect to the transverse momentum of the Z boson

Correlation matrix for the unfolded results obtained using NNLO bias, area con-straint, and no additional regularization for the $p_{T}$ of the Z boson

Response matrix for the $p_{T}$ of the Z boson obtained with POWHEG

Differential cross section with respect to the transverse momentum of the leading jet

Correlation matrix for the unfolded results obtained using NNLO bias, area con-straint, and no additional regularization for the $p_{T}$ of the leading jet

Response matrix for the $p_{T}$ of the leading jet obtained with POWHEG

Differential cross section with respect to the jet multiplicity

Correlation matrix for the unfolded results obtained using NNLO bias, area con-straint, and no additional regularization for the jet multiplicity

Response matrix for the jet multiplicity obtained with POWHEG

Differential cross section with respect to the invariant mass of the WZ system

Correlation matrix for the unfolded results obtained using NNLO bias, area con-straint, and no additional regularization for the invariant mass of the WZ system

Response matrix for the invariant mass of the WZ system obtained with POWHEG

Differential cross section with respect to the transverse momentum of the lepton associated to the W boson

Correlation matrix for the unfolded results obtained using NNLO bias, area con-straint, and no additional regularization for the $p_{T}$ of the lepton associated to the W boson

Response matrix for the $p_{T}$ of the lepton associated to the W boson obtained with POWHEG

Differential cross section with respect to the transverse momentum of the lepton associated to the W boson, W$^{+}$Z only

Correlation matrix for the unfolded results obtained using NNLO bias, area con-straint, and no additional regularization for the $p_{T}$ of the lepton associated to the W boson, W$^{+}$Z only

Differential cross section with respect to the transverse momentum of the lepton associated to the W boson, W$^{-}$Z only

Correlation matrix for the unfolded results obtained using NNLO bias, area con-straint, and no additional regularization for the $p_{T}$ of the lepton associated to the W boson, W$^{-}$Z only

Differential cross section with respect to the cosine of the W polarization angle times total lepton charge

Correlation matrix for the unfolded results obtained using NNLO bias, area con-straint, and no additional regularization for the cosine of the W polarization angle times total lepton charge

Response matrix for the cosine of the W polarization angle times total lepton charge obtained with POWHEG

Differential cross section with respect to the cosine of the W polarization angle times total lepton charge, W$^{+}$Z only

Correlation matrix for the unfolded results obtained using NNLO bias, area con-straint, and no additional regularization for the cosine of the W polarization angle times total lepton charge, W$^{+}$Z only

Differential cross section with respect to the cosine of the W polarization angle times total lepton charge, W$^{-}$Z only

Correlation matrix for the unfolded results obtained using NNLO bias, area con-straint, and no additional regularization for the cosine of the W polarization angle times total lepton charge, W$^{-}$Z only

Differential cross section with respect to the cosine of the Z polarization angle

Correlation matrix for the unfolded results obtained using NNLO bias, area con-straint, and no additional regularization for the cosine of the Z polarization angle

Response matrix for the cosine of the Z polarization angle obtained with POWHEG

Differential cross section with respect to the cosine of the Z polarization angle, W$^{+}$Z only

Correlation matrix for the unfolded results obtained using NNLO bias, area con-straint, and no additional regularization for the cosine of the Z polarization angle, W$^{+}$Z only

Differential cross section with respect to the cosine of the Z polarization angle, W$^{-}$Z only

Correlation matrix for the unfolded results obtained using NNLO bias, area con-straint, and no additional regularization for the cosine of the Z polarization angle, W$^{-}$Z only

The post-fit distribution of the $M(\ell\ell)$ variable is shown for the high-MET bin for the $\text{t}\bar{\text{t}}$ CR. Uncertainties include both the statistical and systematic components.

The post-fit distribution of the $M(\ell\ell)$ variable is shown for the low-MET bin for the WZ-enriched region. Uncertainties include both the statistical and systematic components.

The post-fit distribution of the $M(\ell\ell)$ variable is shown for the high-MET bin for the WZ-enriched region. Uncertainties include both the statistical and systematic components.

The post-fit distribution of the $M(\ell\ell)$ variable is shown for the high-MET bin for the SS CR. Uncertainties include both the statistical and systematic components.

The 2$\ell$-Ewk SR: the post-fit distribution of the $M(\ell\ell)$ variable is shown for the low-MET bin. Uncertainties include both the statistical and systematic components. The signal distributions overlaid on the plot are from the TChiWZ and the simplified higgsino models in the scenario where the product of $\widetilde{m}_{\tilde{\chi}^0_2}\widetilde{m}_{\tilde{\chi}^0_1}$ eigenvalues is positive and negative, respectively. The numbers after the model name in the legend indicate the mass of the NLSP and the mass splitting between the NLSP and LSP, in GeV.

The 2$\ell$-Ewk SR: the post-fit distribution of the $M(\ell\ell)$ variable is shown for the med-MET bin. Uncertainties include both the statistical and systematic components. The signal distributions overlaid on the plot are from the TChiWZ and the simplified higgsino models in the scenario where the product of $\widetilde{m}_{\tilde{\chi}^0_2}\widetilde{m}_{\tilde{\chi}^0_1}$ eigenvalues is positive and negative, respectively. The numbers after the model name in the legend indicate the mass of the NLSP and the mass splitting between the NLSP and LSP, in GeV.

The 2$\ell$-Ewk SR: the post-fit distribution of the $M(\ell\ell)$ variable is shown for the high-MET bin. Uncertainties include both the statistical and systematic components. The signal distributions overlaid on the plot are from the TChiWZ and the simplified higgsino models in the scenario where the product of $\widetilde{m}_{\tilde{\chi}^0_2}\widetilde{m}_{\tilde{\chi}^0_1}$ eigenvalues is positive and negative, respectively. The numbers after the model name in the legend indicate the mass of the NLSP and the mass splitting between the NLSP and LSP, in GeV.

The 2$\ell$-Ewk SR: the post-fit distribution of the $M(\ell\ell)$ variable is shown for the ultra-MET bin. Uncertainties include both the statistical and systematic components. The signal distributions overlaid on the plot are from the TChiWZ and the simplified higgsino models in the scenario where the product of $\widetilde{m}_{\tilde{\chi}^0_2}\widetilde{m}_{\tilde{\chi}^0_1}$ eigenvalues is positive and negative, respectively. The numbers after the model name in the legend indicate the mass of the NLSP and the mass splitting between the NLSP and LSP, in GeV.

The 3$\ell$-Ewk search regions: the post-fit distribution of the $M^{\text{min}}_{\text{SFOS}}(\ell\ell)$ variable is shown for the low-MET bin. Uncertainties include both the statistical and systematic components. The signal distributions overlaid on the plot are from the TChiWZ and the simplified higgsino models in the scenario where the product of $\widetilde{m}_{\tilde{\chi}^0_2}\widetilde{m}_{\tilde{\chi}^0_1}$ eigenvalues is positive and negative, respectively. The numbers after the model name in the legend indicate the mass of the NLSP and the mass splitting between the NLSP and LSP, in GeV.

The 3$\ell$-Ewk search regions: the post-fit distribution of the $M^{\text{min}}_{\text{SFOS}}(\ell\ell)$ variable is shown for the high-MET bin. Uncertainties include both the statistical and systematic components. The signal distributions overlaid on the plot are from the TChiWZ and the simplified higgsino models in the scenario where the product of $\widetilde{m}_{\tilde{\chi}^0_2}\widetilde{m}_{\tilde{\chi}^0_1}$ eigenvalues is positive and negative, respectively. The numbers after the model name in the legend indicate the mass of the NLSP and the mass splitting between the NLSP and LSP, in GeV.

The 2$\ell$-Stop SR: the post-fit distribution of the leading lepton $p_{T}$ variable is shown for the low-MET bin. Uncertainties include both the statistical and systematic components. The signal distributions overlaid on the plot are from the T2bff$\tilde{\chi}^0_1$ and the T2bW models. The numbers after the model name in the legend indicate the mass of the top squark and the mass splitting between the top squark and LSP, in GeV.

The 2$\ell$-Stop SR: the post-fit distribution of the leading lepton $p_{T}$ variable is shown for the med-MET bin. Uncertainties include both the statistical and systematic components. The signal distributions overlaid on the plot are from the T2bff$\tilde{\chi}^0_1$ and the T2bW models. The numbers after the model name in the legend indicate the mass of the top squark and the mass splitting between the top squark and LSP, in GeV.

The 2$\ell$-Stop SR: the post-fit distribution of the leading lepton $p_{T}$ variable is shown for the high-MET bin. Uncertainties include both the statistical and systematic components. The signal distributions overlaid on the plot are from the T2bff$\tilde{\chi}^0_1$ and the T2bW models. The numbers after the model name in the legend indicate the mass of the top squark and the mass splitting between the top squark and LSP, in GeV.

The 2$\ell$-Stop SR: the post-fit distribution of the leading lepton $p_{T}$ variable is shown for the ultra-MET bin. Uncertainties include both the statistical and systematic components. The signal distributions overlaid on the plot are from the T2bff$\tilde{\chi}^0_1$ and the T2bW models. The numbers after the model name in the legend indicate the mass of the top squark and the mass splitting between the top squark and LSP, in GeV.

The observed 95% CL exclusion contours (black curves) assuming the NLO+NLL cross sections, with the variations (thin lines) corresponding to the uncertainty in the cross section for the TChiWZ model. The red curves present the 95% CL expected limits with the band (thin lines) covering 68% of the limits in the absence of signal. Results are reported for the $\widetilde{m}_{\tilde{\chi}^0_2} \widetilde{m}_{\tilde{\chi}^0_1} > 0$ $M(\ell\ell)$ spectrum reweighting scenario. The range of luminosities of the analysis regions included in the fit is indicated on the plot.

The observed 95% CL exclusion contours (black curves) assuming the NLO+NLL cross sections, with the variations (thin lines) corresponding to the uncertainty in the cross section for the TChiWZ model. The red curves present the 95% CL expected limits with the band (thin lines) covering 68% of the limits in the absence of signal. Results are reported for the $\widetilde{m}_{\tilde{\chi}^0_2} \widetilde{m}_{\tilde{\chi}^0_1} < 0$ $M(\ell\ell)$ spectrum reweighting scenario. The range of luminosities of the analysis regions included in the fit is indicated on the plot.

The observed 95% CL exclusion contours (black curves) assuming the NLO+NLL cross sections, with the variations (thin lines) corresponding to the uncertainty in the cross section for the simplified higgsino model. The simplified model includes both neutralino pair and neutralino-chargino production modes. The red curves present the 95% CL expected limits with the band (thin lines) covering 68% of the limits in the absence of signal. The results are reported for the $\widetilde{m}_{\tilde{\chi}^0_2}\widetilde{m}_{\tilde{\chi}^0_1}$ $M(\ell\ell)$ spectrum reweighting scenario. The range of luminosities of the analysis regions included in the fit is indicated on the plot.

The observed 95% CL exclusion contours (black curves) assuming the NLO+NLL cross sections, with the variations (thin lines) corresponding to the uncertainty in the cross section for the pMSSM higgsino model. The pMSSM one includes all possible production modes. The red curves present the 95% CL expected limits with the band (thin lines) covering 68% of the limits in the absence of signal. The results are reported for the $\widetilde{m}_{\tilde{\chi}^0_2}\widetilde{m}_{\tilde{\chi}^0_1}$ $M(\ell\ell)$ spectrum reweighting scenario. The range of luminosities of the analysis regions included in the fit is indicated on the plot.

The observed 95% CL exclusion contours (black curves) assuming the NLO+NLL cross sections, with the variations (thin lines) corresponding to the uncertainty in the cross section for the T2bff$\tilde{\chi}^0_1$ simplified model. The red curves present the 95% CL expected limits with the band (thin lines) covering 68% of the limits in the absence of signal. The range of luminosities of the analysis regions included in the fit is indicated on the plot.

The observed 95% CL exclusion contours (black curves) assuming the NLO+NLL cross sections, with the variations (thin lines) corresponding to the uncertainty in the cross section for the T2bW simplified model. The red curves present the 95% CL expected limits with the band (thin lines) covering 68% of the limits in the absence of signal. The range of luminosities of the analysis regions included in the fit is indicated on the plot.