Observed profile likelihood projection on mH, for the 2e2mu final state, using the N-2D′ VXBS approach. Both statistical and systematic uncertainties have been considered.

Observed profile likelihood projection on mH, for the 2mu2e final state, using the N-2D′ VXBS approach. Both statistical and systematic uncertainties have been considered.

Result of the Higgs boson width measurement using the on-shell production only, shown as 1 − CL curve extracted using the Feldman–Cousins approach (black dots). The error bars represent the spread of the simulated experiments for each point.

Observed profile likelihood projections from the Higgs boson width fit using the full combination of H → ZZ → 4l with the off-shell H → ZZ → 2l2nu [Nature Phys. 18 (2022) 1329].

Expected profile likelihood projections from the Higgs boson width fit using the full combination of H → ZZ → 4l with the off-shell H → ZZ → 2l2nu [Nature Phys. 18 (2022) 1329].

Observed profile likelihood projections from the Higgs boson width fit using the on- and off-shell H → ZZ → 4l channel.

Expected (dashed) profile likelihood projections from the Higgs boson width fit using the on- and off-shell H → ZZ → 4l channel.

Observed 2D profile likelihood projection of the off-shell signal strength parameters (mu off-shell, mu off-shell) from the fit to the combined off-shell H → ZZ → 4l and 2l2nu channels. [Nature Phys. 18 (2022) 1329] The best fit value is shown by the black cross and the SM prediction by the red x. The 68% and 95%CL contours are given by the dashed and solid curves, respectively. The color scale to the right of the plot relates the quantitative values.

Difference between data and simulation in Z → 2mu events, normalized to simulation, as a function of transverse momentum (pt) for three different pseudorapidity (|eta|) range, in 2016 pre-VPF, for positive muons.

Difference between data and simulation in Z → 2mu events, normalized to simulation, as a function of transverse momentum (pt) for three different pseudorapidity (|eta|) range, in 2016 pre-VPF, for negative muons.

Difference between data and simulation in J/Psi → 2mu events, normalized to simulation, as a function of the transverse momentum (pt) for two different pseudorapidity (|eta|) ranges, in 2016 pre-VPF, for positive muons.

Difference between data and simulation in J/Psi → 2mu events, normalized to simulation, as a function of the transverse momentum (pt) for two different pseudorapidity (|eta|) ranges, in 2016 pre-VPF, for negative muons.

Difference between data and simulation in Z → 2e events, normalized to simulation, as a function of transverse momentum (pt) for three different pseudorapidity (|eta|) ranges in 2016 pre-VPF.

Difference between data and simulation in Z → 2mu events, normalized to simulation, as a function of transverse momentum (pt) for three different pseudorapidity (|eta|) range, in 2016 post-VPF, for positive muons.

Difference between data and simulation in Z → 2mu events, normalized to simulation, as a function of transverse momentum (pt) for three different pseudorapidity (|eta|) range, in 2016 post-VPF, for negative muons.

Difference between data and simulation in J/Psi → 2mu events, normalized to simulation, as a function of the transverse momentum (pt) for two different pseudorapidity (|eta|) ranges, in 2016 post-VPF, for positive muons.

Difference between data and simulation in J/Psi → 2mu events, normalized to simulation, as a function of the transverse momentum (pt) for two different pseudorapidity (|eta|) ranges, in 2016 post-VPF, for negative muons.

Difference between data and simulation in Z → 2e events, normalized to simulation, as a function of transverse momentum (pt) for three different pseudorapidity (|eta|) ranges in 2016 post-VPF.

Difference between data and simulation in Z → 2mu events, normalized to simulation, as a function of transverse momentum (pt) for three different pseudorapidity (|eta|) range, in 2017, for positive muons.

Difference between data and simulation in Z → 2mu events, normalized to simulation, as a function of transverse momentum (pt) for three different pseudorapidity (|eta|) range, in 2017, for negative muons.

Difference between data and simulation in J/Psi → 2mu events, normalized to simulation, as a function of the transverse momentum (pt) for two different pseudorapidity (|eta|) ranges, in 2017, for positive muons.

Difference between data and simulation in J/Psi → 2mu events, normalized to simulation, as a function of the transverse momentum (pt) for two different pseudorapidity (|eta|) ranges, in 2017, for negative muons.

Difference between data and simulation in Z → 2e events, normalized to simulation, as a function of transverse momentum (pt) for three different pseudorapidity (|eta|) ranges in 2017.

Difference between data and simulation in Z → 2mu events, normalized to simulation, as a function of transverse momentum (pt) for three different pseudorapidity (|eta|) range, in 2018, for positive muons.

Difference between data and simulation in Z → 2mu events, normalized to simulation, as a function of transverse momentum (pt) for three different pseudorapidity (|eta|) range, in 2018, for negative muons.

Difference between data and simulation in J/Psi → 2mu events, normalized to simulation, as a function of the transverse momentum (pt) for two different pseudorapidity (|eta|) ranges, in 2018, for positive muons.

Difference between data and simulation in J/Psi → 2mu events, normalized to simulation, as a function of the transverse momentum (pt) for two different pseudorapidity (|eta|) ranges, in 2018, for negative muons.

Difference between data and simulation in Z → 2e events, normalized to simulation, as a function of transverse momentum (pt) for three different pseudorapidity (|eta|) ranges in 2018.

The observed likelihood scan as a function of mH using the N-2D'_VXBS$ approach.

The expected likelihood scan as a function of mH using the N-2D'_VXBS$ approach. Expected likelihood has been obtained with the hypothesis mH = 125.38 GeV

Comparison of measured with the predicted dilepton mass resolution using the event-by-event mass uncertainty for Z → 2e events in data in 2016 pre-VPF.

Comparison of measured with the predicted dilepton mass resolution using the event-by-event mass uncertainty for Z → 2mu events in data 2016 pre-VPF.

Comparison of measured with the predicted dilepton mass resolution using the event-by-event mass uncertainty for Z → 2e events in data in 2016 post-VPF.

Comparison of measured with the predicted dilepton mass resolution using the event-by-event mass uncertainty for Z → 2mu events in data 2016 post-VPF.

Comparison of measured with the predicted dilepton mass resolution using the event-by-event mass uncertainty for Z → 2e events in data in 2017.

Comparison of measured with the predicted dilepton mass resolution using the event-by-event mass uncertainty for Z → 2mu events in data 2017.

Comparison of measured with the predicted dilepton mass resolution using the event-by-event mass uncertainty for Z → 2e events in data in 2018.

Comparison of measured with the predicted dilepton mass resolution using the event-by-event mass uncertainty for Z → 2mu events in data 2018.

Observed profile likelihood projections from the Higgs boson width fit using the on- and off-shell H → ZZ → 4l channel with kappa Q constrained to 0.

Expected profile likelihood projections from the Higgs boson width fit using the on- and off-shell H → ZZ → 4l channel with kappa Q constrained to 0.

Observed profile likelihood projection on the Higgs boson width using on- and off-shell production. The analysis of H → ZZ → 4l, considering an unconstrained coupling strength κQ is presented.

Expected profile likelihood projection on the Higgs boson width using on- and off-shell production. The analysis of H → ZZ → 4l, considering an unconstrained coupling strength κQ is presented.

Expected profile likelihood projection on muF off-shell using on- and off-shell production for H → ZZ → 4l.

Observed profile likelihood projection on muF off-shell using on- and off-shell production for H → ZZ → 4l.

Expected profile likelihood projection on muF off-shell using using the full combination of H → ZZ → 4l with the off-shell H → ZZ → 2l2nu [Nature Phys. 18 (2022) 1329].

Observed profile likelihood projection on muF off-shell using using the full combination of H → ZZ → 4l with the off-shell H → ZZ → 2l2nu [Nature Phys. 18 (2022) 1329].

Expected profile likelihood projection on muV off-shell using on- and off-shell production for H → ZZ → 4l.

Observed profile likelihood projection on muV off-shell using on- and off-shell production for H → ZZ → 4l.

Expected profile likelihood projection on muV off-shell using using the full combination of H → ZZ → 4l with the off-shell H → ZZ → 2l2nu.

Observed profile likelihood projection on muV off-shell using using the full combination of H → ZZ → 4l with the off-shell H → ZZ → 2l2nu [Nature Phys. 18 (2022) 1329].

Expected profile likelihood projection on mu off-shell using on- and off-shell production for H → ZZ → 4l.

Observed profile likelihood projection on mu off-shell using on- and off-shell production for H → ZZ → 4l.

Expected profile likelihood projection on mu off-shell using using the full combination of H → ZZ → 4l with the off-shell H → ZZ → 2l2nu [Nature Phys. 18 (2022) 1329].

Observed profile likelihood projection on mu off-shell using using the full combination of H → ZZ → 4l with the off-shell H → ZZ → 2l2nu [Nature Phys. 18 (2022) 1329].

Post-fit agreement between data and MC prediction for the $SR_{\mathrm{loose}}^{2\ell3j}$ signal region, which uses the invariant mass of the c-tagged jet and the geometrically closest b-tagged jet, $m_{\mathit{cb}}^{\mathrm{min}\Delta R}$, as an observable. The hatched uncertainty bands include all uncertainties and their correlations. The last bins contain overflow events. "Other Top" includes single-top-quark production and associated production of $t\bar{t}$ and single top quarks with bosons. "Non-Top" includes W+jets, Z+jets, and diboson processes.

Post-fit agreement between data and MC prediction for the $SR_{\mathrm{loose}}^{1\ell6ji}$ signal region, which uses the jet multiplicity, $N_{\mathrm{jets}}$, as an observable. The hatched uncertainty bands include all uncertainties and their correlations. The last bins contain overflow events. "Other Top" includes single-top-quark production and associated production of $t\bar{t}$ and single top quarks with bosons. "Non-Top" includes W+jets, Z+jets, and diboson processes.

Post-fit agreement between data and MC prediction for the $SR_{\mathrm{tight}}^{1\ell6ji}$ signal region, which uses the jet multiplicity, $N_{\mathrm{jets}}$, as an observable. The hatched uncertainty bands include all uncertainties and their correlations. The last bins contain overflow events. "Other Top" includes single-top-quark production and associated production of $t\bar{t}$ and single top quarks with bosons. "Non-Top" includes W+jets, Z+jets, and diboson processes.

Post-fit agreement between data and MC prediction for the $SR_{\mathrm{loose}}^{2\ell4ji}$ signal region, which uses the jet multiplicity, $N_{\mathrm{jets}}$, as an observable. The hatched uncertainty bands include all uncertainties and their correlations. The last bins contain overflow events. "Other Top" includes single-top-quark production and associated production of $t\bar{t}$ and single top quarks with bosons. "Non-Top" includes W+jets, Z+jets, and diboson processes.

Post-fit agreement between data and MC prediction for the $SR_{\mathrm{tight}}^{2\ell4ji}$ signal region, which uses the jet multiplicity, $N_{\mathrm{jets}}$, as an observable. The hatched uncertainty bands include all uncertainties and their correlations. The last bins contain overflow events. "Other Top" includes single-top-quark production and associated production of $t\bar{t}$ and single top quarks with bosons. "Non-Top" includes W+jets, Z+jets, and diboson processes.

Jet multiplicity and tagging criteria for the SRs and CRs in the single-lepton and dilepton channels. All single-lepton regions are defined in the 5-jet-exclusive and 6-jet-inclusive jet selections, all dilepton regions in the 3-jet-exclusive and 4-jet-inclusive jet selections. By construction, $\mathrm{SR}^{2\ell}_{\mathrm{tight}}$ only exists for the 4-jet-inclusive selection. Identical requirements on inclusive and exclusive working points, e.g., one c@22% and one c@11% in the $\mathrm{CR}_1^{1\ell}$, indicate a veto of additional tags at the inclusive working point.

Breakdown of the fiducial $t\bar{t}+{\geq}2c$ and $t\bar{t}+1c$ cross-section uncertainties. Systematic uncertainties are grouped into signal and background modeling, instrumental, and MC statistics categories. The table lists the fractional uncertainty in the measured cross-sections in percent and is estimated from the covariance matrix of the profile likelihood fit, following EPJC 84 (2024) 593. Individual groups of uncertainties can be added in quadrature to obtain the total uncertainty. JES and JER denote the jet energy scale and resolution uncertainties, respectively. The fractional uncertainties in the fitted $t\bar{t}+{\geq}1c$ and $t\bar{t}+\text{light}$ normalization factors are included in the data statistics category. For presentation purposes, all uncertainties are symmetrized.

Measured fiducial cross-section values in comparison with various NLO+PS predictions. The uncertainties in the predictions include independent and simultaneous variations of the $\mu_R$ and $\mu_F$ scales and uncertainties in the choice of the PDF set, but no uncertainties in the parton shower or hadronization. The uncertainties in the measured values include all statistical and systematic uncertainties. For presentation purposes, the quoted measurement and prediction uncertainties are symmetrized.

Measured and predicted values for the $t\bar{t}+{\geq}1b$, $t\bar{t}+{\geq}2c$, and $t\bar{t}+1c$ cross-sections and for the cross-section ratios of these processes to total $t\bar{t}+\text{jets}$ production. The quoted uncertainties in the measurements include statistical and systematic uncertainties. The predictions are taken from the nominal setup using inclusive $t\bar{t}$ Powheg+Pythia8 predictions for the $t\bar{t}+{\geq}2c$, $t\bar{t}+1c$, and $t\bar{t}+\text{light}$ processes, and $t\bar{t}+b\bar{b}$ Powheg+Pythia8 predictions for the $t\bar{t}+{\geq}1b$ process. The first use the 5FS, the latter the 4FS, where the $b$-quarks are treated as massive particles and are included in the matrix element calculation. The uncertainties in the predictions include independent and simultaneous variations of the $\mu_R$ and $\mu_F$ scales and uncertainties in the choice of the PDF set.

Nuisance parameters with a large impact on the fiducial measurement: ranking of the ten most impactful nuisance parameters for the $t\bar{t}+{\geq}2c$ cross-section measurement. The colored boxes indicate the impact of the nuisance parameters, $\Delta\mu$ (top axis), on the corresponding parameter of interest, $\mu$. They are calculated from the covariance matrix using the post-fit up (down) uncertainties of the parameter of interest and the nuisance parameter, $\sigma_{\mathrm{POI}}^{\mathrm{up}}$ and $\sigma_{\mathrm{NP}}^{\mathrm{up}}$ ($\sigma_{\mathrm{POI}}^{\mathrm{down}}$ and $\sigma_{\mathrm{NP}}^{\mathrm{down}}$), and their linear correlation coefficient, $\rho$, following EPJC 84 (2024) 593. The data points and error bars indicate the post-fit values and uncertainties of the nuisance parameters relative to their pre-fit values, $\theta_0$, in units of their pre-fit uncertainties, $\Delta \theta$ (bottom axis). A hollow circle indicates that the nuisance parameter has a Poisson constraint.

Nuisance parameters with a large impact on the fiducial measurement: ranking of the ten most impactful nuisance parameters for the $t\bar{t}+1c$ cross-section measurement. The colored boxes indicate the impact of the nuisance parameters, $\Delta\mu$ (top axis), on the corresponding parameter of interest, $\mu$. They are calculated from the covariance matrix using the post-fit up (down) uncertainties of the parameter of interest and the nuisance parameter, $\sigma_{\mathrm{POI}}^{\mathrm{up}}$ and $\sigma_{\mathrm{NP}}^{\mathrm{up}}$ ($\sigma_{\mathrm{POI}}^{\mathrm{down}}$ and $\sigma_{\mathrm{NP}}^{\mathrm{down}}$), and their linear correlation coefficient, $\rho$, following EPJC 84 (2024) 593. The data points and error bars indicate the post-fit values and uncertainties of the nuisance parameters relative to their pre-fit values, $\theta_0$, in units of their pre-fit uncertainties, $\Delta \theta$ (bottom axis). A hollow circle indicates that the nuisance parameter has a Poisson constraint.

Nuisance parameters with a large impact on the fiducial measurement: ranking of the ten most impactful nuisance parameters for the $t\bar{t}+{\geq}2c$ ratio to total $t\bar{t}+\text{jets}$ production. The colored boxes indicate the impact of the nuisance parameters, $\Delta\mu$ (top axis), on the corresponding parameter of interest, $\mu$. They are calculated from the covariance matrix using the post-fit up (down) uncertainties of the parameter of interest and the nuisance parameter, $\sigma_{\mathrm{POI}}^{\mathrm{up}}$ and $\sigma_{\mathrm{NP}}^{\mathrm{up}}$ ($\sigma_{\mathrm{POI}}^{\mathrm{down}}$ and $\sigma_{\mathrm{NP}}^{\mathrm{down}}$), and their linear correlation coefficient, $\rho$, following EPJC 84 (2024) 593. The data points and error bars indicate the post-fit values and uncertainties of the nuisance parameters relative to their pre-fit values, $\theta_0$, in units of their pre-fit uncertainties, $\Delta \theta$ (bottom axis). A hollow circle indicates that the nuisance parameter has a Poisson constraint.

Nuisance parameters with a large impact on the fiducial measurement: ranking of the ten most impactful nuisance parameters for the $t\bar{t}+1c$ ratio to total $t\bar{t}+\text{jets}$ production. The colored boxes indicate the impact of the nuisance parameters, $\Delta\mu$ (top axis), on the corresponding parameter of interest, $\mu$. They are calculated from the covariance matrix using the post-fit up (down) uncertainties of the parameter of interest and the nuisance parameter, $\sigma_{\mathrm{POI}}^{\mathrm{up}}$ and $\sigma_{\mathrm{NP}}^{\mathrm{up}}$ ($\sigma_{\mathrm{POI}}^{\mathrm{down}}$ and $\sigma_{\mathrm{NP}}^{\mathrm{down}}$), and their linear correlation coefficient, $\rho$, following EPJC 84 (2024) 593. The data points and error bars indicate the post-fit values and uncertainties of the nuisance parameters relative to their pre-fit values, $\theta_0$, in units of their pre-fit uncertainties, $\Delta \theta$ (bottom axis). A hollow circle indicates that the nuisance parameter has a Poisson constraint.

Efficiencies and rejection rates for the $b$- and $c$-jet tagging working points of the $b/c$-tagger, as well as the selection cuts on the discriminants, $\mathcal{D}_b'$ and $\mathcal{D}_c'$ that define the tagging bins. The primes indicate that a standard logistic function is applied to the discriminants. The b@70% and c@22% working points are inclusive of their respective tighter working points. The values were estimated from single-lepton and dilepton $t\bar{t}$ events simulated with Powheg + Pythia 8.

Efficiencies and rejection rates for the $b$- and $c$-jet tagging working points of the $b/c$-tagger, as well as the selection cuts on the discriminants, $\mathcal{D}_b'$ and $\mathcal{D}_c'$ that define the tagging bins. The primes indicate that a standard logistic function is applied to the discriminants. The b@70% and c@22% working points are inclusive of their respective tighter working points. The values were estimated from single-lepton and dilepton $t\bar{t}$ events simulated with Powheg + Pythia 8.

Pre-fit event yields in the twelve single-lepton and dilepton control regions (CRs) of the analysis. The quoted uncertainties include both statistical and systematic components, but all normalization factors are fixed to their pre-fit values with no uncertainties. All uncertainties are assumed to be uncorrelated. "Other Top" includes single-top-quark production and associated production of $t\bar{t}$ and single top quarks with bosons. "Non-Top" includes W+jets, Z+jets, and diboson processes. The "Fakes" category includes events from misidentified leptons and non-prompt leptons, estimated through the data-driven matrix method in the single-lepton channel and through MC predictions in the dilepton channel.

Pre-fit event yields in the seven signal regions (SRs) of the analysis. The quoted uncertainties include both statistical and systematic components, but all normalization factors are fixed to their pre-fit values with no uncertainties. All uncertainties are assumed to be uncorrelated. "Other Top" includes single-top-quark production and associated production of $t\bar{t}$ and single top quarks with bosons. "Non-Top" includes W+jets, Z+jets, and diboson processes. The "Fakes" category includes events from misidentified leptons and non-prompt leptons, estimated through the data-driven matrix method in the single-lepton channel and through MC predictions in the dilepton channel.

Post-fit event yields in the twelve single-lepton and dilepton control regions (CRs) of the analysis. The quoted uncertainties include both statistical and systematic components, and post-fit correlations between uncertainties are taken into account. "Other Top" includes single-top-quark production and associated production of $t\bar{t}$ and single top quarks with bosons. "Non-Top" includes W+jets, Z+jets, and diboson processes. The "Fakes" category includes events from misidentified leptons and non-prompt leptons, estimated through the data-driven matrix method in the single-lepton channel and through MC predictions in the dilepton channel.

Post-fit event yields in the seven signal regions (SRs) of the analysis. The quoted uncertainties include both statistical and systematic components, and post-fit correlations between uncertainties are taken into account. "Other Top" includes single-top-quark production and associated production of $t\bar{t}$ and single top quarks with bosons. "Non-Top" includes W+jets, Z+jets, and diboson processes. The "Fakes" category includes events from misidentified leptons and non-prompt leptons, estimated through the data-driven matrix method in the single-lepton channel and through MC predictions in the dilepton channel.

Covariance for full matrix measurement all bins from $m(t\bar{t})$ fit

Results for full matrix measurement inclusive from $p_{T}(t)$

Covariance for full matrix measurement inclusive from $p_{T}(t)$

Results for full matrix measurement all bins from $p_{T}(t)$ fit

Covariance for full matrix measurement all bins from $p_{T}(t)$ fit

Results for full matrix measurement differential in $m(t\bar{t})$

Covariance for full matrix measurement differential in $m(t\bar{t})$

Results for full matrix measurement differential in $m(t\bar{t})$ for $|cos(\theta)| < 0.4$

Covariance for full matrix measurement differential in $m(t\bar{t})$ for $|cos(\theta)| < 0.4$

Results for full matrix measurement differential in $p_{T}(t)$

Covariance for full matrix measurement differential in $p_{T}(t)$

Results for $D$ measurement inclusive from $m(t\bar{t})$

Covariance for $D$ measurement inclusive from $m(t\bar{t})$

Results for $D$ measurement inclusive from $p_{T}(t)$

Covariance for $D$ measurement inclusive from $p_{T}(t)$

Results for $\tilde{D}$ measurement inclusive in $m(t\bar{t})$

Covariance for $\tilde{D}$ measurement inclusive in $m(t\bar{t})$

Results for $\tilde{D}$ measurement inclusive in $p_{T}(t)$

Covariance for $\tilde{D}$ measurement inclusive in $p_{T}(t)$

Results for $D$ measurement all bins from from $m(t\bar{t})$ fit

Covariance for $D$ measurement all bins from from $m(t\bar{t})$ fit

Results for $D$ measurement all bins from from $p_{T}(t)$ fit

Covariance for $D$ measurement all bins from from $p_{T}(t)$ fit

Results for $\tilde{D}$ measurement all bins from from $m(t\bar{t})$ fit

Covariance for $\tilde{D}$ measurement all bins from from $m(t\bar{t})$ fit

Results for $\tilde{D}$ measurement all bins from from $p_{T}(t)$ fit

Covariance for $\tilde{D}$ measurement all bins from from $p_{T}(t)$ fit

Results for $D$ measurement differential in $m(t\bar{t})$

Covariance for $D$ measurement differential in $m(t\bar{t})$

Results for $\tilde{D}$ measurement differential in $m(t\bar{t})$

Covariance for $\tilde{D}$ measurement differential in $m(t\bar{t})$

Results for $\tilde{D}$ measurement differential in $m(t\bar{t})$ for $|cos(\theta)| < 0.4$

Covariance for $\tilde{D}$ measurement differential in $m(t\bar{t})$ for $|cos(\theta)| < 0.4$

Results for $D$ measurement differential in $p_{T}(t)$

Covariance for $D$ measurement differential in $p_{T}(t)$

Results for $\tilde{D}$ measurement differential in $p_{T}(t)$

Covariance for $\tilde{D}$ measurement differential in $p_{T}(t)$

The 95% CL upper limits on the branching fraction $\mathcal{B}(\mathrm{H \to SS})$ with $\mathrm{S}\to\tau\tau$ decay, for different LLP masses $m_{\mathrm{S}}$ and proper decay lengths $c\tau_{0}$.

The 95% CL limits on the LLP mass $m_{\mathrm{S}}$ for different proper decay lengths $c\tau_{0}$ assuming a branching fraction of 1% for the $\mathrm{H \to SS}$ decay, and with subsequent $\mathrm{S \to b\overline{b}}$ decay.

The 95% CL limits on the LLP mass $m_{\mathrm{S}}$ for different proper decay lengths $c\tau_{0}$ assuming a branching fraction of 1% for the $\mathrm{H \to SS}$ decay, and with subsequent $\mathrm{S \to d \overline{d}}$ decay.

The 95% CL limits on the dark-sector top quark partner mass $m_{T}$ for different hidden glueball masses $m_{0}$ in the fraternal twin Higgs model.

The 95% CL limits on the dark-sector top quark partner mass $m_{T}$ for different hidden glueball masses $m_{0}$ in the folded SUSY model.

The Bs meson $p_{\rm{T}}$-dependent RAA in PpPp. The measurment was carried out inside a fiducial region respecting ($p_{\rm{T}}$<10 & 1.5<|y|<2.4) and ($p_{\rm{T}}$>10 & |y|<2.4).

Distribution of the RF output for events in the 2j1b region. The number of observed events (points) and estimated signal and background events (filled histograms) before the maximum likelihood fit are shown. The vertical bars on the points represent the statistical uncertainty in the data, and the hatched band the total uncertainty in the estimated events before the fit. The lower panels display the ratio of the data to the sum of the estimated events (points) before the fit, with the bands giving the corresponding uncertainties.

The distribution of the Subleading jet $p_{T}$ for events in the 2j2b region. The number of observed events (points) and estimated signal and background events (filled histograms) from the maximum likelihood fit are shown. The vertical bars on the points represent the statistical uncertainty in the data, and the hatched band the total uncertainty in the estimated events after the fit. The lower panels display the ratio of the data to the sum of the estimated events (points) after the fit, with the bands giving the corresponding uncertainties.

Distribution of the Subleading jet $p_{T}$ for events in the 2j2b region. The number of observed events (points) and estimated signal and background events (filled histograms) before the maximum likelihood fit are shown. The vertical bars on the points represent the statistical uncertainty in the data, and the hatched band the total uncertainty in the estimated events before the fit. The lower panels display the ratio of the data to the sum of the estimated events (points) before the fit, with the bands giving the corresponding uncertainties.

Observed and theoretical cross sections. In the observed, the first uncertainty is statistical, the second is the systematic, and the third the luminosity. In the theoretical, the first uncertainty is due to scale variations, the second due to the choice of PDF. The theoretical cross section has been computed at approximate third-order in QCD, with the addition of third-order corrections of soft gluon emission terms, assuming a top quark mass of 172.5 GeV and using the PDF4LHC21 PDF set.

The distribution of the RF output for events in the 1j1b region. The number of observed events (points) and estimated signal and background events (filled histograms) from the maximum likelihood fit are shown. The vertical bars on the points represent the statistical uncertainty in the data, and the hatched band the total uncertainty in the estimated events after the fit. The lower panels display the ratio of the data to the sum of the estimated events (points) after the fit, with the bands giving the corresponding uncertainties.

The number of estimated signal and background events after the fit in the 1j1b, 2j1b, and 2j2b regions compared to the observed number of events. The total uncertainties in the estimated events after the fit are given.

The distribution of the RF output for events in the 2j1b region. The number of observed events (points) and estimated signal and background events (filled histograms) from the maximum likelihood fit are shown. The vertical bars on the points represent the statistical uncertainty in the data, and the hatched band the total uncertainty in the estimated events after the fit. The lower panels display the ratio of the data to the sum of the estimated events (points) after the fit, with the bands giving the corresponding uncertainties.

Normalised fiducial differential tW production cross section as a function of the $Leading$ $lepton$ $p_{T}$. The horizontal bars on the points show the bin width. Predictions from POWHEG (PH) DR and DS + PYTHIA 8 (P8), POWHEG DR + HERWIG 7 (H7), MADGRAPH5_aMC@NLO (aMC) DR, DR2, DS and DS with a dynamic factor + PYTHIA 8 are also shown. The grey band represents the statistical uncertainty and the yellow band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

The distribution of the Subleading jet $p_{T}$ for events in the 2j2b region. The number of observed events (points) and estimated signal and background events (filled histograms) from the maximum likelihood fit are shown. The vertical bars on the points represent the statistical uncertainty in the data, and the hatched band the total uncertainty in the estimated events after the fit. The lower panels display the ratio of the data to the sum of the estimated events (points) after the fit, with the bands giving the corresponding uncertainties.

Normalised fiducial differential tW production cross section as a function of the $p_{Z}(e^{\pm}, \mu^{\pm}, j)$. The horizontal bars on the points show the bin width. Predictions from POWHEG (PH) DR and DS + PYTHIA 8 (P8), POWHEG DR + HERWIG 7 (H7), MADGRAPH5_aMC@NLO (aMC) DR, DR2, DS and DS with a dynamic factor + PYTHIA 8 are also shown. The grey band represents the statistical uncertainty and the yellow band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

Observed and theoretical cross sections. In the observed, the first uncertainty is statistical, the second is the systematic, and the third the luminosity. In the theoretical, the first uncertainty is due to scale variations, the second due to the choice of PDF. The theoretical cross section has been computed at approximate third-order in QCD, with the addition of third-order corrections of soft gluon emission terms, assuming a top quark mass of 172.5 GeV and using the PDF4LHC21 PDF set.

Normalised fiducial differential tW production cross section as a function of the $Jet$ $p_{T}$. The horizontal bars on the points show the bin width. Predictions from POWHEG (PH) DR and DS + PYTHIA 8 (P8), POWHEG DR + HERWIG 7 (H7), MADGRAPH5_aMC@NLO (aMC) DR, DR2, DS and DS with a dynamic factor + PYTHIA 8 are also shown. The grey band represents the statistical uncertainty and the yellow band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

The number of estimated signal and background events after the fit in the 1j1b, 2j1b, and 2j2b regions compared to the observed number of events. The total uncertainties in the estimated events after the fit are given.

Normalised fiducial differential tW production cross section as a function of the $m(e^{\pm}, \mu^{\pm}, j)$. The horizontal bars on the points show the bin width. Predictions from POWHEG (PH) DR and DS + PYTHIA 8 (P8), POWHEG DR + HERWIG 7 (H7), MADGRAPH5_aMC@NLO (aMC) DR, DR2, DS and DS with a dynamic factor + PYTHIA 8 are also shown. The grey band represents the statistical uncertainty and the yellow band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

Normalised fiducial differential tW production cross section as a function of the $Leading$ $lepton$ $p_{T}$. The horizontal bars on the points show the bin width. Predictions from POWHEG (PH) DR and DS + PYTHIA 8 (P8), POWHEG DR + HERWIG 7 (H7), MADGRAPH5_aMC@NLO (aMC) DR, DR2, DS and DS with a dynamic factor + PYTHIA 8 are also shown. The grey band represents the statistical uncertainty and the yellow band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

Normalised fiducial differential tW production cross section as a function of the $\Delta\phi(e^{\pm}, \mu^{\pm})/\pi$. The horizontal bars on the points show the bin width. Predictions from POWHEG (PH) DR and DS + PYTHIA 8 (P8), POWHEG DR + HERWIG 7 (H7), MADGRAPH5_aMC@NLO (aMC) DR, DR2, DS and DS with a dynamic factor + PYTHIA 8 are also shown. The grey band represents the statistical uncertainty and the yellow band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

Normalised fiducial differential tW production cross section as a function of the $p_{Z}(e^{\pm}, \mu^{\pm}, j)$. The horizontal bars on the points show the bin width. Predictions from POWHEG (PH) DR and DS + PYTHIA 8 (P8), POWHEG DR + HERWIG 7 (H7), MADGRAPH5_aMC@NLO (aMC) DR, DR2, DS and DS with a dynamic factor + PYTHIA 8 are also shown. The grey band represents the statistical uncertainty and the yellow band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

Normalised fiducial differential tW production cross section as a function of the $m_{T}(e^{\pm}, \mu^{\pm}, j, p_{T}^{miss})$. The horizontal bars on the points show the bin width. Predictions from POWHEG (PH) DR and DS + PYTHIA 8 (P8), POWHEG DR + HERWIG 7 (H7), MADGRAPH5_aMC@NLO (aMC) DR, DR2, DS and DS with a dynamic factor + PYTHIA 8 are also shown. The grey band represents the statistical uncertainty and the yellow band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

Normalised fiducial differential tW production cross section as a function of the $Jet$ $p_{T}$. The horizontal bars on the points show the bin width. Predictions from POWHEG (PH) DR and DS + PYTHIA 8 (P8), POWHEG DR + HERWIG 7 (H7), MADGRAPH5_aMC@NLO (aMC) DR, DR2, DS and DS with a dynamic factor + PYTHIA 8 are also shown. The grey band represents the statistical uncertainty and the yellow band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

The p-values from the goodness-of-fit tests comparing the six differential cross section measurements with the predictions from POWHEG (PH) DR and DS + PYTHIA 8 (P8), POWHEG DR + HERWIG 7 (H7), MADGRAPH5 aMC@NLO (aMC) DR, DR2, DS, and DS with a dynamic factor + PYTHIA 8. The complete covariance matrix from the results and the statistical uncertainties in the predictions are taken into account.

Normalised fiducial differential tW production cross section as a function of the $m(e^{\pm}, \mu^{\pm}, j)$. The horizontal bars on the points show the bin width. Predictions from POWHEG (PH) DR and DS + PYTHIA 8 (P8), POWHEG DR + HERWIG 7 (H7), MADGRAPH5_aMC@NLO (aMC) DR, DR2, DS and DS with a dynamic factor + PYTHIA 8 are also shown. The grey band represents the statistical uncertainty and the yellow band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

Distribution of the RF output for events in the 1j1b region. The number of observed events (points) and estimated signal and background events (filled histograms) before the maximum likelihood fit are shown. The vertical bars on the points represent the statistical uncertainty in the data, and the hatched band the total uncertainty in the estimated events before the fit. The lower panels display the ratio of the data to the sum of the estimated events (points) before the fit, with the bands giving the corresponding uncertainties.

Normalised fiducial differential tW production cross section as a function of the $\Delta\phi(e^{\pm}, \mu^{\pm})/\pi$. The horizontal bars on the points show the bin width. Predictions from POWHEG (PH) DR and DS + PYTHIA 8 (P8), POWHEG DR + HERWIG 7 (H7), MADGRAPH5_aMC@NLO (aMC) DR, DR2, DS and DS with a dynamic factor + PYTHIA 8 are also shown. The grey band represents the statistical uncertainty and the yellow band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

Distribution of the RF output for events in the 2j1b region. The number of observed events (points) and estimated signal and background events (filled histograms) before the maximum likelihood fit are shown. The vertical bars on the points represent the statistical uncertainty in the data, and the hatched band the total uncertainty in the estimated events before the fit. The lower panels display the ratio of the data to the sum of the estimated events (points) before the fit, with the bands giving the corresponding uncertainties.

Normalised fiducial differential tW production cross section as a function of the $m_{T}(e^{\pm}, \mu^{\pm}, j, p_{T}^{miss})$. The horizontal bars on the points show the bin width. Predictions from POWHEG (PH) DR and DS + PYTHIA 8 (P8), POWHEG DR + HERWIG 7 (H7), MADGRAPH5_aMC@NLO (aMC) DR, DR2, DS and DS with a dynamic factor + PYTHIA 8 are also shown. The grey band represents the statistical uncertainty and the yellow band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

Distribution of the Subleading jet $p_{T}$ for events in the 2j2b region. The number of observed events (points) and estimated signal and background events (filled histograms) before the maximum likelihood fit are shown. The vertical bars on the points represent the statistical uncertainty in the data, and the hatched band the total uncertainty in the estimated events before the fit. The lower panels display the ratio of the data to the sum of the estimated events (points) before the fit, with the bands giving the corresponding uncertainties.

The p-values from the goodness-of-fit tests comparing the six differential cross section measurements with the predictions from POWHEG (PH) DR and DS + PYTHIA 8 (P8), POWHEG DR + HERWIG 7 (H7), MADGRAPH5 aMC@NLO (aMC) DR, DR2, DS, and DS with a dynamic factor + PYTHIA 8. The complete covariance matrix from the results and the statistical uncertainties in the predictions are taken into account.

Response matrix between detector and particle level for the $Leading$ $lepton$ $p_{T}$.

Response matrix between detector and particle level for the $Leading$ $lepton$ $p_{T}$.

Response matrix between detector and particle level for the $p_{Z}(e^{\pm}, \mu^{\pm}, j)$.

Response matrix between detector and particle level for the $p_{Z}(e^{\pm}, \mu^{\pm}, j)$.

Response matrix between detector and particle level for the $Jet$ $p_{T}$.

Response matrix between detector and particle level for the $Jet$ $p_{T}$.

Response matrix between detector and particle level for the $m(e^{\pm}, \mu^{\pm}, j)$.

Response matrix between detector and particle level for the $m(e^{\pm}, \mu^{\pm}, j)$.

Response matrix between detector and particle level for the $\Delta\phi(e^{\pm}, \mu^{\pm})/\pi$.

Response matrix between detector and particle level for the $\Delta\phi(e^{\pm}, \mu^{\pm})/\pi$.

Response matrix between detector and particle level for the $m_{T}(e^{\pm}, \mu^{\pm}, j, p_{T}^{miss})$.

Response matrix between detector and particle level for the $m_{T}(e^{\pm}, \mu^{\pm}, j, p_{T}^{miss})$.

Covariance matrix including all uncertainties of the normalised differential cross section in bins of $Leading$ $lepton$ $p_{T}$ in units of $1/GeV^{2}$.

Covariance matrix including all uncertainties of the normalised differential cross section in bins of $Leading$ $lepton$ $p_{T}$ in units of $1/GeV^{2}$.

Covariance matrix including all uncertainties of the normalised differential cross section in bins of $p_{Z}(e^{\pm}, \mu^{\pm}, j)$ in units of $1/GeV^{2}$.

Covariance matrix including all uncertainties of the normalised differential cross section in bins of $p_{Z}(e^{\pm}, \mu^{\pm}, j)$ in units of $1/GeV^{2}$.

Covariance matrix including all uncertainties of the normalised differential cross section in bins of $Jet$ $p_{T}$ in units of $1/GeV^{2}$.

Covariance matrix including all uncertainties of the normalised differential cross section in bins of $Jet$ $p_{T}$ in units of $1/GeV^{2}$.

Covariance matrix including all uncertainties of the normalised differential cross section in bins of $m(e^{\pm}, \mu^{\pm}, j)$ in units of $1/GeV^{2}$.

Covariance matrix including all uncertainties of the normalised differential cross section in bins of $m(e^{\pm}, \mu^{\pm}, j)$ in units of $1/GeV^{2}$.

Covariance matrix including all uncertainties of the normalised differential cross section in bins of $\Delta\phi(e^{\pm}, \mu^{\pm})/\pi$ in units of 1.

Covariance matrix including all uncertainties of the normalised differential cross section in bins of $\Delta\phi(e^{\pm}, \mu^{\pm})/\pi$ in units of 1.

Covariance matrix including all uncertainties of the normalised differential cross section in bins of $m_{T}(e^{\pm}, \mu^{\pm}, j, p_{T}^{miss})$ in units of $1/GeV^{2}$.

Covariance matrix including all uncertainties of the normalised differential cross section in bins of $m_{T}(e^{\pm}, \mu^{\pm}, j, p_{T}^{miss})$ in units of $1/GeV^{2}$.

Charged-hadron $\mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta/N_{part}$ in PbPb collisions at 5.36 TeV at midrapidity as a function of $N_{part}$.

Charged-hadron $\mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta/N_{part}$ in PbPb collisions at 5.36 TeV at midrapidity as a function of $N_{part}/2A$.

Observed and predicted $p_T^{miss}$ ($U$) distributions in the 1b category, in the Signal Region. The bottom plot shows the ratio of observed and predicted (both prefit and postfit) distributions along with an uncertainty band that includes both the systematic and statistical components.

Observed and predicted $p_T^{miss}$ ($U$) distributions in the 1b category, in the $Z(\ell\ell)$ Control Region. The bottom plot shows the ratio of observed and predicted (both prefit and postfit) distributions along with an uncertainty band that includes both the systematic and statistical components.

Observed and predicted $p_T^{miss}$ ($U$) distributions in the 1b category, in the $W(\ell\nu)$ Control Region. The bottom plot shows the ratio of observed and predicted (both prefit and postfit) distributions along with an uncertainty band that includes both the systematic and statistical components.

Observed and predicted $\cos\Theta$* distributions in the 2b category, in the Signal Region. The bottom plot shows the ratio of observed and predicted (both prefit and postfit) distributions along with an uncertainty band that includes both the systematic and statistical components.

Observed and predicted $\cos\Theta$* distributions in the 2b category, in the $Z(\ell\ell)$ Control Region. The bottom plot shows the ratio of observed and predicted (both prefit and postfit) distributions along with an uncertainty band that includes both the systematic and statistical components.

Observed and predicted $\cos\Theta$* distributions in the 2b category, in the $t\bar{t}$ Control Region. The bottom plot shows the ratio of observed and predicted (both prefit and postfit) distributions along with an uncertainty band that includes both the systematic and statistical components.

The $95\%$ CL upper limit on the signal strength modifier of DM produced in association with a pair of bottom quarks for $m_A=600$ GeV, $\sin\theta=0.7$, $m_\chi=1$ GeV, and $\tan\beta=35$, for the combination of SR1 and SR2. The green and yellow bands show the $\pm 1$ and $\pm 2$ standard deviations from expected limits. The mass points below the red line are excluded.

$95\%$ CL upper limit on the signal strength in the $m_a-\tan\beta$ plane. The shaded area above the curve is excluded.

$95\%$ CL upper limit on the signal strength in the $m_a-\sin\theta$ plane. The shaded area above the curve is excluded.

$95\%$ CL upper limit on the signal strength in the $m_a-m_\chi$ plane. The shaded area below the curve is excluded.