Differential cross sections for the EW W$\gamma$jj production. Given that the ranges of some variables extend to infinity, the last bins accommodate all the events up to infinity as marked by the bin label.

Differential cross sections for the EW W$\gamma$jj production. Given that the ranges of some variables extend to infinity, the last bins accommodate all the events up to infinity as marked by the bin label.

Differential cross sections for the EW W$\gamma$jj production. Given that the ranges of some variables extend to infinity, the last bins accommodate all the events up to infinity as marked by the bin label.

Differential cross sections for the EW W$\gamma$jj production. Given that the ranges of some variables extend to infinity, the last bins accommodate all the events up to infinity as marked by the bin label.

Differential cross sections for the EW W$\gamma$jj production. Given that the ranges of some variables extend to infinity, the last bins accommodate all the events up to infinity as marked by the bin label.

Differential cross sections for the EW + QCD W$\gamma$jj production. Given that the ranges of some variables extend to infinity, the last bins accommodate all the events up to infinity as marked by the bin label.

Differential cross sections for the EW +QCD W$\gamma$jj production. Given that the ranges of some variables extend to infinity, the last bins accommodate all the events up to infinity as marked by the bin label.

Differential cross sections for the EW + QCD W$\gamma$jj production. Given that the ranges of some variables extend to infinity, the last bins accommodate all the events up to infinity as marked by the bin label.

Differential cross sections for the EW + QCD W$\gamma$jj production. Given that the ranges of some variables extend to infinity, the last bins accommodate all the events up to infinity as marked by the bin label.

Differential cross sections for the EW + QCD W$\gamma$jj production. Given that the ranges of some variables extend to infinity, the last bins accommodate all the events up to infinity as marked by the bin label.

Differential cross sections for the EW + QCD W$\gamma$jj production. Given that the ranges of some variables extend to infinity, the last bins accommodate all the events up to infinity as marked by the bin label.

The $m_{W\gamma}$ distribution for muon events (electron events are also used and the muon events are shown here as an example.) satisfying the aQGC region selection and used to set constraints on the anomalous gauge coupling parameters (left). The gray line represents a nonzero $f_{M,2}/Λ^4$ setting. Events with $m_{W\gamma} > 1500 GeV$ are included in the last bin.

Exclusion limits at the 95% CL for each aQGC coefficient, derived from the mW$\gamma$ distribution, assuming all other coefficients are set to zero. Unitarity bounds corresponding to each operator are also listed. All coupling parameter limits are in TeV^{−4}, while Ubound values are in TeV.

Results summary.

Bayesian upper exclusion limits on the ratio $g_{W'}/g_{W}$ for an SSM-like W$\prime$ boson are shown. The unity coupling ratio (blue dotted curve) corresponds to the SSM common benchmark. The 68 and 95% quantiles of the limits are represented by the green and yellow bands, respectively.

Bayesian lower exclusion limits on the NUGIM G(221) mixing angle $\cot(\theta_{E})$ are shown as a function of the W$\prime$ boson mass. The theoretically excluded region is shaded in grey. The 68 and 95% quantiles of the limits are represented by the green and yellow bands, respectively.

Bayesian upper exclusion limits at 95% CL on the product of the production cross section and branching fraction of a QBH in an associated $ au$ lepton and neutrino final state. Minimum threshold masses $m_{th}$ of up to 6.6 TeV are excluded at 95% CL. The observed limit (solid line) is obtained from the intersection with the LO QBH cross section (blue dotted curve). The 68 and 95% quantiles of the limits are represented by the green and yellow bands, respectively.

Bayesian upper limits at 95% CL on the cross section of the process $pp\rightarrow\tau\nu$ mediated via LQ exchange in the t-channel. The inner (green) band and the outer (yellow) band indicate the regions containing 68 and 95%, respectively, of the distribution of limits expected under the background-only hypothesis. The predicted LQ cross section at LO in the three coupling benchmark scenarios is depicted in different colors for $g_{U}=1$. The uncertainty bandy correspond to the sum in quadrature of PDF and scale variations. The first benchmark scenario considers only couplings to left-handed SM fermions (i.e. $\beta_{\text{R}}^{ij}=0$) and is referred to as "best fit LH". The second benchmark, referred to as "best fit LH+RH", considers $|\beta_{\text{R}}^{\text{b}\tau}|=1$ and all other $\beta_{\text{R}}^{ij}=0$. In the third "democratic" benchmark, equal couplings only to LH fermions are assumed, i.e. $\beta_{\text{L}}^{ij}=1$ and $\beta_{\text{R}}^{ij}=0$ for all $i$ and $j$.

Expected and observed lower limits of the LQ mass as a function of the coupling $g_{U}$ in the LH scenario. The blue band shows the 68% and 95% regions of $g_{U}$ preferred by the fit to the b anomalies data.

Expected and observed lower limits of the LQ mass as a function of the coupling $g_{U}$ in the LH+RH scenario. The blue band shows the 68% and 95% regions of $g_{U}$ preferred by the fit to the b anomalies data.

Expected and observed lower limits of the LQ mass as a function of the coupling $g_{U}$ in the democratic scenario. The blue band shows the 68% and 95% regions of $g_{U}$ preferred by the fit to the b anomalies data.

Bayesian upper exclusion limits at 95% CL on each of the Wilson coefficients described by the EFT model based on 2016-2018 data. The three different coupling types represent a left-handed vector coupling ($\epsilon^{cb}_{L}$), tensor-like coupling ($\epsilon^{cb}_{T}$), and scalar-tensor-like coupling ($\epsilon^{cb}_{S_{L}}$). The 68 and 95% quantiles of the limits are represented by the green and yellow bands, respectively.

Summary of exclusion limits (expected and observed) calculated at 95% CL for full Run-2 CMS data.

Background prediction and observed data yields in the signal region bins. The background yields are obtained from the background-only fit and serve as input to the simplified likelihood reinterpretation scheme. The naming of the bins is "year_binnumber", following the binning from Figure 4.

Matrix of covariance coefficients between signal region bins. The coefficients are obtained from the background-only fit and serve as input to the simplified likelihood reinterpretation scheme. The naming of the bins is "year_binnumber", following the binning used in Figure 4.

Predicted signal yields for the 2017 data-taking period, corresponding to 41.3 fb$^{-1}$, after the application of each search requirement (cumulative) for various signal hypothesis. The requirements listed are presented as total efficiencies w.r.t. the previous selection step.

Expected and observed upper limits on the AQGC operators $a^Z_C/\Lambda^2$, with no unitarization. The $y$ axis shows the limit on the ratio of the observed cross section to the cross section predicted for each anomalous coupling value ($\sigma_\mathrm{AQGC}$).

Limits on LEP-like dimension-6 anomalous quartic gauge coupling parameters, with and without unitarization via a clipping procedure.

Conversion of limits on $a^W_0$ to dimension-8 $f_{M,i}$ operators, using the assumption of vanishing $WWZ\gamma$ couplings to eliminate some parameters. When quoting limits on one of the operators, the other is fixed to zero. The results for $|f_{M,0}/\Lambda^{4}|$ and $|f_{M,4}/\Lambda^{4}|$ are shown with and without clipping of the signal model at 1.4 TeV, when the other parameter is fixed to the SM value of zero.

Conversion of limits on $a^W_0$ and $a^W_C$ to dimension-8 $f_{M,i}$ operators, using the assumption that all $f_{M,i}$ except one are equal to zero. The results are shown with and without clipping of the signal model at 1.4 TeV.

{Expected and observed limits in the two-dimensional plane of $a^W_0/\Lambda^2$ vs. $a^W_C/\Lambda^2$. The limits are described by analytical ellipses of equation $(x-x0)^2/a^2 + (y-y0)^2/b^2 = 1$ and rotated counter-clockwise by $\theta$ degrees, where $x$ and $y$ in the equation correspond to the $a_0^W$ and $a_C^W$ couplings, respectively.

{Expected and observed limits in the two-dimensional plane of $a^W_0/\Lambda^2$ vs. $a^W_C/\Lambda^2$ with unitarization imposed by clipping the signal model at 1.4 TeV. The limits are described by analytical ellipses of equation $(x-x0)^2/a^2 + (y-y0)^2/b^2 = 1$ and rotated counter-clockwise by $\theta$ degrees, where $x$ and $y$ in the equation correspond to the $a_0^W$ and $a_C^W$ couplings, respectively.

{Expected and observed limits in the two-dimensional plane of $a^Z_0/\Lambda^2$ vs. $a^Z_C/\Lambda^2$. The limits are described by analytical ellipses of equation $(x-x0)^2/a^2 + (y-y0)^2/b^2 = 1$ and rotated counter-clockwise by $\theta$ degrees, where $x$ and $y$ in the equation correspond to the $a_0^Z$ and $a_C^Z$ couplings, respectively.

Distributions of $\Delta\phi$ as obtained from simulation, requiring various $\textrm{t}$ tag multiplicities for the signal in two representative combinations of (gluino, neutralino) masses with large (2.2, 0.1)$\mathrm{TeV}$ and small (1.8, 1.3)$\mathrm{TeV}$ mass difference.

Results of fits to the $n_{\textrm{b}}$ multiplicity for control regions for the muon channel and with the requirements $3\leq n_{\textrm{jet}}\leq4$, $250<L_T<350~\mathrm{GeV}$, $500<H_T<750~\mathrm{GeV}$, $n_{\textrm{W}}\geq1$, $\Delta \phi<1$. The shaded area shows the fit uncertainty of the total background.

Results of fits to the $n_{\textrm{b}}$ multiplicity for control regions for the muon channel and with the requirements $3\leq n_{\textrm{jet}}\leq4$, $350<L_T<450~\mathrm{GeV}$, $H_T>1000~\mathrm{GeV}$, $n_{\textrm{W}}\geq0$, $\Delta \phi<1$. The shaded area shows the fit uncertainty of the total background.

Jet multiplicity distribution after the single-lepton baseline selection excluding the SRs for the multi-b analysis. The simulation is normalized to data with the SF mentioned in the plot.

Jet multiplicity distribution after the single-lepton baseline selection excluding the SRs for the the zero-b analysis (right). The simulation is normalized to data with the SF mentioned in the plot.

Jet multiplicity distribution in the dilepton CRs for the multi-b analysis. The simulation is normalized to data with the SF mentioned in the plot.

Jet multiplicity distribution in the dilepton CRs for the zero-b analysis. The simulation is normalized to data with the SF mentioned in the plot.

The double ratio of the single-lepton and dilepton ratio between data and simulation together with fit results and their uncertainties is shown for the multi-b analysis. The fits are performed for each data-taking year; 2018 is shown as an example.

The double ratio of the single-lepton and dilepton ratio between data and simulation together with fit results and their uncertainties is shown for the zero-b analysis. The fits are performed for each data-taking year; 2018 is shown as an example.

The prefit $L_{\mathrm{P}}$ distribution for selected electron candidates in the baseline QCD selection, with modified requirements of $n_{\text{jet}}\in[3,4]$ and $n_{\mathrm{b}}=0$.

The prefit $L_{\mathrm{P}}$ distribution for anti-selected electron candidates in the baseline QCD selection, with modified requirements of $n_{\text{jet}}\in[3,4]$ and $n_{\mathrm{b}}=0$.

Observed event yields in the MB SRs of the multi-b analysis compared to signal and background predictions. The relative fraction of the different SM EW background contributions determined in simulation is shown by the stacked, colored histograms, normalized so that their sum is equal to the background estimated using data control regions. The QCD background is predicted using the $L_p$ method. The signal is shown for two representative combinations of (gluino, neutralino) masses with large (2.2, 0.1) $\mathrm{TeV}$ and small (1.8, 1.3) $\mathrm{TeV}$ mass differences.

Observed event yields in the MB SRs of the zero-b analysis compared to signal and background predictions. The $\textrm{W}$+jets, $\textrm{t}\bar{\textrm{t}}$+jets, and QCD predictions are extracted from data control samples, while the other background contributions are estimated from simulation. The signal is shown for two representative combinations of (gluino, neutralino) masses with large (2.2, 0.1) $\mathrm{TeV}$ and small (1.8, 1.3) $\mathrm{TeV}$ mass differences.

Cross section limits at 95% CL for the T1tttt (left) model, as functions of the gluino and LSP masses, assuming a branching fraction of 100%. The mass of the intermediate chargino is taken to be halfway between the gluino and the neutralino masses. The solid black (dashed red) lines correspond to the observed (expected) mass limits, with the thicker lines representing the central values and the thinner lines representing the $\pm1\sigma$ uncertainty bands related to the theoretical (experimental) uncertainties.

Cross section limits at 95% CL for the T1tttt model, as functions of the gluino and LSP masses, assuming a branching fraction of 100%. The mass of the intermediate chargino is taken to be halfway between the gluino and the neutralino masses. The solid black (dashed red) lines correspond to the observed (expected) mass limits, with the thicker lines representing the central values and the thinner lines representing the $\pm1\sigma$ uncertainty bands related to the theoretical (experimental) uncertainties.

Cross section limits at 95% CL for the T1tttt model, as functions of the gluino and LSP masses, assuming a branching fraction of 100%. The mass of the intermediate chargino is taken to be halfway between the gluino and the neutralino masses. The solid black (dashed red) lines correspond to the observed (expected) mass limits, with the thicker lines representing the central values and the thinner lines representing the $\pm1\sigma$ uncertainty bands related to the theoretical (experimental) uncertainties.

Cross section limits at 95% CL for the T1tttt model, as functions of the gluino and LSP masses, assuming a branching fraction of 100%. The mass of the intermediate chargino is taken to be halfway between the gluino and the neutralino masses. The solid black (dashed red) lines correspond to the observed (expected) mass limits, with the thicker lines representing the central values and the thinner lines representing the $\pm1\sigma$ uncertainty bands related to the theoretical (experimental) uncertainties.

Cross section limits at 95% CL for the T1tttt model, as functions of the gluino and LSP masses, assuming a branching fraction of 100%. The mass of the intermediate chargino is taken to be halfway between the gluino and the neutralino masses. The solid black (dashed red) lines correspond to the experved (expected) mass limits, with the thicker lines representing the central values and the thinner lines representing the $\pm1\sigma$ uncertainty bands related to the theoretical (experimental) uncertainties.

Cross section limits at 95% CL for the T1tttt model, as functions of the gluino and LSP masses, assuming a branching fraction of 100%. The mass of the intermediate chargino is taken to be halfway between the gluino and the neutralino masses. The solid black (dashed red) lines correspond to the experved (expected) mass limits, with the thicker lines representing the central values and the thinner lines representing the $\pm1\sigma$ uncertainty bands related to the theoretical (experimental) uncertainties.

Cross section limits at 95% CL for the T1tttt model, as functions of the gluino and LSP masses, assuming a branching fraction of 100%. The mass of the intermediate chargino is taken to be halfway between the gluino and the neutralino masses. The solid black (dashed red) lines correspond to the experved (expected) mass limits, with the thicker lines representing the central values and the thinner lines representing the $\pm1\sigma$ uncertainty bands related to the theoretical (experimental) uncertainties.

Cross section limits at 95% CL for the T5qqqqWW model, as functions of the gluino and LSP masses, assuming a branching fraction of 100%. The mass of the intermediate chargino is taken to be halfway between the gluino and the neutralino masses. The solid black (dashed red) lines correspond to the observed (expected) mass limits, with the thicker lines representing the central values and the thinner lines representing the $\pm1\sigma$ uncertainty bands related to the theoretical (experimental) uncertainties.

Cross section limits at 95% CL for the T5qqqqWW model, as functions of the gluino and LSP masses, assuming a branching fraction of 100%. The mass of the intermediate chargino is taken to be halfway between the gluino and the neutralino masses. The solid black (dashed red) lines correspond to the observed (expected) mass limits, with the thicker lines representing the central values and the thinner lines representing the $\pm1\sigma$ uncertainty bands related to the theoretical (experimental) uncertainties.

Cross section limits at 95% CL for the T5qqqqWW model, as functions of the gluino and LSP masses, assuming a branching fraction of 100%. The mass of the intermediate chargino is taken to be halfway between the gluino and the neutralino masses. The solid black (dashed red) lines correspond to the observed (expected) mass limits, with the thicker lines representing the central values and the thinner lines representing the $\pm1\sigma$ uncertainty bands related to the theoretical (experimental) uncertainties.

Cross section limits at 95% CL for the T5qqqqWW model, as functions of the gluino and LSP masses, assuming a branching fraction of 100%. The mass of the intermediate chargino is taken to be halfway between the gluino and the neutralino masses. The solid black (dashed red) lines correspond to the observed (expected) mass limits, with the thicker lines representing the central values and the thinner lines representing the $\pm1\sigma$ uncertainty bands related to the theoretical (experimental) uncertainties.

Cross section limits at 95% CL for the T5qqqqWW model, as functions of the gluino and LSP masses, assuming a branching fraction of 100%. The mass of the intermediate chargino is taken to be halfway between the gluino and the neutralino masses. The solid black (dashed red) lines correspond to the experved (expected) mass limits, with the thicker lines representing the central values and the thinner lines representing the $\pm1\sigma$ uncertainty bands related to the theoretical (experimental) uncertainties.

Cross section limits at 95% CL for the T5qqqqWW model, as functions of the gluino and LSP masses, assuming a branching fraction of 100%. The mass of the intermediate chargino is taken to be halfway between the gluino and the neutralino masses. The solid black (dashed red) lines correspond to the experved (expected) mass limits, with the thicker lines representing the central values and the thinner lines representing the $\pm1\sigma$ uncertainty bands related to the theoretical (experimental) uncertainties.

Cross section limits at 95% CL for the T5qqqqWW model, as functions of the gluino and LSP masses, assuming a branching fraction of 100%. The mass of the intermediate chargino is taken to be halfway between the gluino and the neutralino masses. The solid black (dashed red) lines correspond to the experved (expected) mass limits, with the thicker lines representing the central values and the thinner lines representing the $\pm1\sigma$ uncertainty bands related to the theoretical (experimental) uncertainties.

Observed number of events in the MB SR bins of the multi-b analysis. All bins are defined with $\Delta\phi > 0.75$.

Observed number of events in the MB SR bins of the zero-b analysis.

The simplified likelihood can be constructed using this covariance matrix of nuisance parameters in the signal region (MB SR). The bin contents have been aggregated accross the three years to simplify the likelihood.

Selection efficiency for the multi-b signal for the SRs.

The simplified likelihood can be constructed using this covariance matrix of nuisance parameters in the signal region (MB SR). The bins were aggregated across HT to stabilize the simplified likelihood.

Selection efficiency for the zero-b signal for the SRs. The bins correspond to the aggregated bins that were used for the covariance matrix.

The covariance matrix containing the experimental uncertainties of the particle-level $\mathrm{t}\overline{\mathrm{t}}$ differential cross section as a function of the XCone-jet mass.

The covariance matrix containing the model uncertainties of the particle-level $\mathrm{t}\overline{\mathrm{t}}$ differential cross section as a function of the XCone-jet mass.

The normalized particle-level $\mathrm{t}\overline{\mathrm{t}}$ differential cross section in the fiducial region as a function of the XCone-jet mass.

Correlations between bins in the normalized particle-level $\mathrm{t}\overline{\mathrm{t}}$ differential cross section as a function of the XCone-jet mass.

The covariance matrix containing the statistical uncertainties of the normalized particle-level $\mathrm{t}\overline{\mathrm{t}}$ differential cross section as a function of the XCone-jet mass.

The covariance matrix containing the experimental uncertainties of the normalized particle-level $\mathrm{t}\overline{\mathrm{t}}$ differential cross section as a function of the XCone-jet mass.

The covariance matrix containing the model uncertainties of the normalized particle-level $\mathrm{t}\overline{\mathrm{t}}$ differential cross section as a function of the XCone-jet mass.

Relative experimental uncertainties of the particle-level $\mathrm{t}\overline{\mathrm{t}}$ differential cross section in the fiducial region as a function of the XCone-jet mass.

Relative model uncertainties of the particle-level $\mathrm{t}\overline{\mathrm{t}}$ differential cross section in the fiducial region as a function of the XCone-jet mass.

Relative experimental uncertainties of the normalized particle-level $\mathrm{t}\overline{\mathrm{t}}$ differential cross section in the fiducial region as a function of the XCone-jet mass.

Relative model uncertainties of the normalized particle-level $\mathrm{t}\overline{\mathrm{t}}$ differential cross section in the fiducial region as a function of the XCone-jet mass.

The measured cross section as a function of exclusive jet multiplicity, $N_{\text{jets}}$, when $50<p_T<100$ GeV

The measured cross section as a function of exclusive jet multiplicity, $N_{\text{jets}}$, when $p_T>100$ GeV

The measured cross section as a function of $\Delta\phi_{Z,jet1}$, when $p_T<10$ GeV

The measured cross section as a function of $\Delta\phi_{Z,jet1}$, when $10<p_T<30$ GeV

The measured cross section as a function of $\Delta\phi_{Z,jet1}$, when $30<p_T<50$ GeV

The measured cross section as a function of $\Delta\phi_{Z,jet1}$, when $50<p_T<100$ GeV

The measured cross section as a function of $\Delta\phi_{Z,jet1}$, when $p_T>100$ GeV

The measured cross section as a function of $\Delta\phi_{jet1,jet2}$, when $p_T<10$ GeV

The measured cross section as a function of $\Delta\phi_{jet1,jet2}$, when $10<p_T<30$ GeV

The measured cross section as a function of $\Delta\phi_{jet1,jet2}$, when $30<p_T<50$ GeV

The measured cross section as a function of $\Delta\phi_{jet1,jet2}$, when $50<p_T<100$ GeV

The measured cross section as a function of $\Delta\phi_{jet1,jet2}$, when $p_T>100$ GeV

Jet multiplicity measured for a leading-pT jet ($p_{T1}$) with 400 < $p_{T1}$ < 800 GeV and for an azimuthal separation between the two leading jets of $0 < \Delta\Phi_{1,2} < 150^{\circ}$. The full breakdown of the uncertainties is displayed, with PU corresponding to Pileup, PREF to Trigger Prefering, PTHAT to the hard-scale (renormalization and factorization scales), MISS and FAKE to the inefficienties and background, LUMI to integrated luminosity. With JES, JER and stat. unc. following the notation in the paper.

Jet multiplicity measured for a leading-pT jet ($p_{T1}$) with 400 < $p_{T1}$ < 800 GeV and for an azimuthal separation between the two leading jets of $150 < \Delta\Phi_{1,2} < 170^{\circ}$. The full breakdown of the uncertainties is displayed, with PU corresponding to Pileup, PREF to Trigger Prefering, PTHAT to the hard-scale (renormalization and factorization scales), MISS and FAKE to the inefficienties and background, LUMI to integrated luminosity. With JES, JER and stat. unc. following the notation in the paper.

Jet multiplicity measured for a leading-pT jet ($p_{T1}$) with 400 < $p_{T1}$ < 800 GeV and for an azimuthal separation between the two leading jets of $170 < \Delta\Phi_{1,2} < 180^{\circ}$. The full breakdown of the uncertainties is displayed, with PU corresponding to Pileup, PREF to Trigger Prefering, PTHAT to the hard-scale (renormalization and factorization scales), MISS and FAKE to the inefficienties and background, LUMI to integrated luminosity. With JES, JER and stat. unc. following the notation in the paper.

Jet multiplicity measured for a leading-pT jet ($p_{T1}$) with $p_{T1}$ > 800 and for an azimuthal separation between the two leading jets of $0 < \Delta\Phi_{1,2} < 150^{\circ}$. The full breakdown of the uncertainties is displayed, with PU corresponding to Pileup, PREF to Trigger Prefering, PTHAT to the hard-scale (renormalization and factorization scales), MISS and FAKE to the inefficienties and background, LUMI to integrated luminosity. With JES, JER and stat. unc. following the notation in the paper.

Jet multiplicity measured for a leading-pT jet ($p_{T1}$) with $p_{T1}$ > 800 and for an azimuthal separation between the two leading jets of $150 < \Delta\Phi_{1,2} < 170^{\circ}$. The full breakdown of the uncertainties is displayed, with PU corresponding to Pileup, PREF to Trigger Prefering, PTHAT to the hard-scale (renormalization and factorization scales), MISS and FAKE to the inefficienties and background, LUMI to integrated luminosity. With JES, JER and stat. unc. following the notation in the paper.

Jet multiplicity measured for a leading-pT jet ($p_{T1}$) with $p_{T1}$ > 800 and for an azimuthal separation between the two leading jets of $170 < \Delta\Phi_{1,2} < 180^{\circ}$. The full breakdown of the uncertainties is displayed, with PU corresponding to Pileup, PREF to Trigger Prefering, PTHAT to the hard-scale (renormalization and factorization scales), MISS and FAKE to the inefficienties and background, LUMI to integrated luminosity. With JES, JER and stat. unc. following the notation in the paper.

Measured transverse momentum of the leading $p_{T}$ jet ($p_{T1}$). The full breakdown of the uncertainties is displayed, with PU corresponding to Pileup, PREF to Trigger Prefering, PTHAT to the hard-scale (renormalization and factorization scales), MISS and FAKE to the inefficienties and background, LUMI to integrated luminosity. With JES, JER and stat. unc. following the notation in the paper.

Measured transverse momentum of the subleading $p_{T}$ jet ($p_{T2}$). The full breakdown of the uncertainties is displayed, with PU corresponding to Pileup, PREF to Trigger Prefering, PTHAT to the hard-scale (renormalization and factorization scales), MISS and FAKE to the inefficienties and background, LUMI to integrated luminosity. With JES, JER and stat. unc. following the notation in the paper.

Measured transverse momentum of the third leading $p_{T}$ jet ($p_{T3}$). The full breakdown of the uncertainties is displayed, with PU corresponding to Pileup, PREF to Trigger Prefering, PTHAT to the hard-scale (renormalization and factorization scales), MISS and FAKE to the inefficienties and background, LUMI to integrated luminosity. With JES, JER and stat. unc. following the notation in the paper.

Measured transverse momentum of the fourth leading $p_{T}$ jet ($p_{T4}$). The full breakdown of the uncertainties is displayed, with PU corresponding to Pileup, PREF to Trigger Prefering, PTHAT to the hard-scale (renormalization and factorization scales), MISS and FAKE to the inefficienties and background, LUMI to integrated luminosity. With JES, JER and stat. unc. following the notation in the paper.

Jet multiplicity distribution in TUnfold binning ($N_{jets},\Delta\phi_{1,2},p_{T1}$) as indicated in the XML file provided as additional resource. The uncertainties follow the notation of Table 1.

Correlation matrix at particle level for the measured jet multiplicity in TUnfold binning ($N_{jets},\Delta\phi_{1,2},p_{T1}$) as indicated in the XML file provided as additional resource.

Jet $p_{T}$ distributions in TUnfold binning ($p_{T1},p_{T2},p_{T3},p_{T4}$) as indicated in the XML file provided as additional resource. The uncertainties follow the notation of Table 1.

Correlation matrix at particle level for the measured jet $p_{T}$ distributions in TUnfold binning ($p_{T1},p_{T2},p_{T3},p_{T4}$) as indicated in the XML file provided as additional resource.

Jet shape ratios ($\rho(\Delta r)_{\mathrm{PbPb}}/\rho(\Delta r)_{\mathrm{pp}}$) for inclusive and b jets as function of $\Delta r$ at $\sqrt{s_{NN}} = 5.02$ TeV.

Jet shape ratios ($\rho(\Delta r)_{\mathrm{PbPb}}/\rho(\Delta r)_{\mathrm{pp}}$) for inclusive and b jets as function of $\Delta r$ at $\sqrt{s_{NN}} = 5.02$ TeV.

Jet shape ratios ($\rho(\Delta r)_{\mathrm{PbPb}}/\rho(\Delta r)_{\mathrm{pp}}$) for inclusive and b jets as function of $\Delta r$ at $\sqrt{s_{NN}} = 5.02$ TeV.

Transverse momentum profile difference $P(\Delta r)_{\mathrm{PbPb}}-P(\Delta r)_{\mathrm{pp}}$ vs. $\Delta r$ for inclusive and b jets at $\sqrt{s_{NN}} = 5.02$ TeV.

Transverse momentum profile difference $P(\Delta r)_{\mathrm{PbPb}}-P(\Delta r)_{\mathrm{pp}}$ vs. $\Delta r$ for inclusive and b jets at $\sqrt{s_{NN}} = 5.02$ TeV.

Transverse momentum profile difference $P(\Delta r)_{\mathrm{PbPb}}-P(\Delta r)_{\mathrm{pp}}$ vs. $\Delta r$ for inclusive and b jets at $\sqrt{s_{NN}} = 5.02$ TeV.

Jet shape ratios ($\rho(\Delta r)_{\mathrm{b}}/\rho(\Delta r)_{\mathrm{incl.}}$) as function of $\Delta r$ from pp and PbPb collisions at $\sqrt{s_{NN}}= 5.02$ TeV.

Jet shape ratios ($\rho(\Delta r)_{\mathrm{b}}/\rho(\Delta r)_{\mathrm{incl.}}$) as function of $\Delta r$ from pp and PbPb collisions at $\sqrt{s_{NN}} = 5.02$ TeV.

Jet shape ratios ($\rho(\Delta r)_{\mathrm{b}}/\rho(\Delta r)_{\mathrm{incl.}}$) as function of $\Delta r$ from pp and PbPb collisions at $\sqrt{s_{NN}} = 5.02$ TeV.

Final dijet $v_{2}$, $v_{3}$ and $v_{4}$ results presented as a function of centrality.

Observed and expected 95% CL upper limits on the product of the production cross section ($\sigma$) and the branching fraction, obtained after combining all categories with 138 $\mathrm{fb}^{−1}$ of data at $\sqrt{s}$ = 13 TeV for $\mathrm{V'}$ to $VV$ + $VH$ signal in HVT model C.

Total signal efficiency including all event categories as a function of the resonance mass $M_X$ for all DY/ggF signal models under consideration. The estimates from MC simulation (markers) are interpolated with a functional form (lines).

Total signal efficiency including all event categories as a function of the resonance mass $M_X$ for all VBF signal models under consideration. The estimates from MC simulation (markers) are interpolated with a functional form (lines).