Example description

Differential fiducial cross sections for the number of jets

Example description

Differential fiducial cross sections for the leading jet pT

Example description

Observed best fit differential cross section for the $|y_{H}|$ observable

Observed best fit differential cross section for the $m_{jj}$ (GeV) observable

Observed best fit differential cross section for the $\Delta\eta_{jj}$ observable.

Observed best fit differential cross section for the $\tau_{C}^{j}$ (GeV) observable

Bin-to-bin correlation matrix for the $p_{T}^{H}$ spectrum

Bin-to-bin correlation matrix for the $N_{jets}$ spectrum

Bin-to-bin correlation matrix for the $p_{T}^{j0}$ spectrum

Bin-to-bin correlation matrix for the $|y_{H}|$ spectrum

Bin-to-bin correlation matrix for the $m_{jj}$ spectrum

Bin-to-bin correlation matrix for the $\Delta\eta_{jj}$ spectrum

Bin-to-bin correlation matrix for the $\tau_{C}^{j}$ spectrum

Rotation matrix for the PCA of the SMEFT Wilson coefficients

Correlation matrix of the linear combinations of Wilson coefficients obtained from the PCA, obtained by fitting the observed data to the $p_{T}^{H}$ spectra of all decay channels.

Summary of observed and expected confidence intervals for the first eigenvectors obtained from the PCA of the SMEFT Wilson coefficients.

The unfolded dijet balance distribution, $(1/N_{dijet})(dN_{dijet}/dx_{j})$, as function of $x_{j}$ for the $10-60$, $60-120$, $120-185$, $185-250$ and $250-400$ multiplicity ranges with leading and subleading jets at forward and midrapidity regions, respectively.

The unfolded dijet balance distribution, $(1/N_{dijet})(dN_{dijet}/dx_{j})$, as function of $x_{j}$ for the $10-60$, $60-120$, $120-185$, $185-250$ and $250-400$ multiplicity ranges with leading and subleading jets at backward and midrapidity regions, respectively.

The ratio of unfolded dijet balance distribution to the lower multiplicity range, $10-60$, as function of $x_{j}$ for the $60-120$, $120-185$, $185-250$ and $250-400$ ranges with both jets at the midrapidity regions.

The ratio of unfolded dijet balance distribution to the lower multiplicity range, $10-60$, as function of $x_{j}$ for the $60-120$, $120-185$, $185-250$ and $250-400$ ranges with leading and subleading jets at midrapidity and forward regions, respectively.

The ratio of unfolded dijet balance distribution to the lower multiplicity range, $10-60$, as function of $x_{j}$ for the $60-120$, $120-185$, $185-250$ and $250-400$ ranges with leading and subleading jets at midrapidity and backward regions, respectively.

The ratio of unfolded dijet balance distribution to the lower multiplicity range, $10-60$, as function of $x_{j}$ for the $60-120$, $120-185$, $185-250$ and $250-400$ ranges with leading and subleading jets at forward and midrapidity regions, respectively.

The ratio of unfolded dijet balance distribution to the lower multiplicity range, $10-60$, as function of $x_{j}$ for the $60-120$, $120-185$, $185-250$ and $250-400$ ranges with leading and subleading jets at backward and midrapidity regions, respectively.

Mean xj ratio, $\langle x_{j} \rangle$, in the range $10-60$ as unfolded for different multiplicities, for different leading and subleading jet combinations for the midrapidity, forward, and backward regions

The reconstructed (raw) dijet balance distribution, $(1/N_{dijet})(dN_{dijet}/dx_{j})$, as function of $x_{j}$ for the $10-60$, $60-120$, $120-185$, $185-250$ and $250-400$ multiplicity ranges with both jets at the midrapidity regions.

The reconstructed (raw) dijet balance distribution, $(1/N_{dijet})(dN_{dijet}/dx_{j})$, as function of $x_{j}$ for the $10-60$, $60-120$, $120-185$, $185-250$ and $250-400$ multiplicity ranges with leading and subleading jets at midrapidity and forward regions, respectively.

The reconstructed (raw) dijet balance distribution, $(1/N_{dijet})(dN_{dijet}/dx_{j})$, as function of $x_{j}$ for the $10-60$, $60-120$, $120-185$, $185-250$ and $250-400$ multiplicity ranges with leading and subleading jets at midrapidity and backward regions, respectively.

The reconstructed (raw) dijet balance distribution, $(1/N_{dijet})(dN_{dijet}/dx_{j})$, as function of $x_{j}$ for the $10-60$, $60-120$, $120-185$, $185-250$ and $250-400$ multiplicity ranges with leading and subleading jets at forward and midrapidity regions, respectively.

The reconstructed (raw) dijet balance distribution, $(1/N_{dijet})(dN_{dijet}/dx_{j})$, as function of $x_{j}$ for the $10-60$, $60-120$, $120-185$, $185-250$ and $250-400$ multiplicity ranges with leading and subleading jets at backward and midrapidity regions, respectively.

The ratio of reconstructed (raw) dijet balance distribution to the lower multiplicity range, $10-60$, as function of $x_{j}$ for the $60-120$, $120-185$, $185-250$ and $250-400$ ranges with both jets at the midrapidity regions.

The ratio of reconstructed (raw) dijet balance distribution to the lower multiplicity range, $10-60$, as function of $x_{j}$ for the $60-120$, $120-185$, $185-250$ and $250-400$ ranges with leading and subleading jets at midrapidity and forward regions, respectively.

The ratio of reconstructed (raw) dijet balance distribution to the lower multiplicity range, $10-60$, as function of $x_{j}$ for the $60-120$, $120-185$, $185-250$ and $250-400$ ranges with leading and subleading jets at midrapidity and backward regions, respectively.

The ratio of reconstructed (raw) dijet balance distribution to the lower multiplicity range, $10-60$, as function of $x_{j}$ for the $60-120$, $120-185$, $185-250$ and $250-400$ ranges with leading and subleading jets at forward and midrapidity regions, respectively.

The ratio of reconstructed (raw) dijet balance distribution to the lower multiplicity range, $10-60$, as function of $x_{j}$ for the $60-120$, $120-185$, $185-250$ and $250-400$ ranges with leading and subleading jets at backward and midrapidity regions, respectively.

Mean xj ratio, $\langle x_{j} \rangle$, in the range $10-60$ as reconstructed (raw) for different multiplicities, for different leading and subleading jet combinations for the midrapidity, forward, and backward regions

The distributions of the variables used in the simultaneous fit for the SR. The black points with error bars represent the data and their statistical uncertainties, whereas the shaded band represents the predicted uncertainties. The bottom panel in each figure shows the ratio of the number of events observed in data to that of the total SM prediction. The last bin of each plot has been extended to include the overflow contribution.

Expected and observed 95% upper limits on the product of the cross section and branching fraction$\sigma(\mathrm{pp} \ ightarrow W\mathrm{a})\mathcal{B}(W ightarrow \ell^{+} v_{\ell})\mathcal{B}(\mathrm{a} \rightarrow Z\gamma)\mathcal{B}(Z \rightarrow \ell^{+} \ell^{-})$ s a function of the ALP mass from 110 to 400 GeV

Expected and observed 95% upper limits on the photophobic ALP model parameter $1/f_{\mathrm{a}}$ as a function of ALP mass reinterpreted from $1/f_{\mathrm{a}}=2~\mathrm{TeV}^{-1}$

Upper limits at $95\%$ CL on the LQ-fermion couplings, $|y_{e u}|$, versus $S_{e u}$ mass for scalar LQs coupled to electrons.

Observed and Expected UL exclusions on the $BR(H\to S)$ of generic signals with $m_{A'} = 1.0\;GeV$ and $BR(A' \rightarrow \pi\pi) = 1.0$.

The observed data in the dielectron channel and the fitted signal-plus-background templates, shown for the $S_{e d}$ scenario with a candidate LQ mass of 2.5 TeV. Distributions of events are binned in the reconstructed dilepton mass, rapidity, and cosine theta.

Observed and Expected UL exclusions on the number of 'signal' yields in sideband A from the model agnostic fit, assuming no 'SUEP-like' signal contamination in the CRs.

Upper limits at $95\%$ CL on the LQ-fermion couplings, $|y_{e d}|$, versus $S_{e d}$ mass for scalar LQs coupled to electrons.

Postfit values for SR in the B-Only CR+SR and CR-Only fits with the prefit signal overlayed for reference

The observed data in the dimuon channel and the fitted signal-plus-background templates, shown for the $S_{\mu u}$ scenario with a candidate LQ mass of 2.5 TeV. Distributions of events are binned in the reconstructed dilepton mass, rapidity, and cosine theta.

Postfit values for PR in the B-Only CR+SR and CR-Only fits with the prefit signal overlayed for reference

Upper limits at $95\%$ CL on the LQ-fermion couplings, $|y_{\mu u}|$, versus $S_{\mu u}$ mass for scalar LQs coupled to muons.

Postfit values for CRDY in the B-Only CR+SR and CR-Only fits with the prefit signal overlayed for reference

The observed data in the dimuon channel and the fitted signal-plus-background templates, shown for the $S_{\mu d}$ scenario with a candidate LQ mass of 2.5 TeV. Distributions of events are binned in the reconstructed dilepton mass, rapidity, and cosine theta.

Postfit values for CRTT in the B-Only CR+SR and CR-Only fits with the prefit signal overlayed for reference

Upper limits at $95\%$ CL on the LQ-fermion couplings, $|y_{\mu d}|$, versus $S_{\mu d}$ mass for scalar LQs coupled to muons.

Per-selection efficiencies on Generic - $m_{A'} = 1.0\;GeV$ $BR(A' \rightarrow \pi\pi) = 1.0$ Hadronic - $m_{A'} = 0.7\;GeV$ and $BR(A' \rightarrow ee) = BR(A' \rightarrow \mu\mu) = 0.15$ $BR(A' \rightarrow \pi\pi) = 0.7$ Leptonic - $m_{A'} = 0.5\;GeV$ and $BR(A' \rightarrow ee) = BR(A' \rightarrow \mu\mu) = 0.2$ and $BR(A' \rightarrow \pi\pi) = 0.6$ samples. Selections: 2 OSSF leptons, one SUEP cluster, $60\leq Z_{m}\leq 120$ GeV, $p_{T}^Z\geq 25$ GeV, veto events with b-tagged jets, $p_{T}^{SUEP} > 60\;GeV$, and $dR^{Ak4}_{Ak15} < 1.5$. Efficiencies are the ratio of the histogram size at the selection step to the previous step (except twoLepton vs. initial). The final column is the total cumulative efficiency (dR vs. initial). Note that these selection numbers were all calculated using samples generated with 600,000 events for each signal point considered.

The observed data in the dielectron channel and the fitted signal-plus-background templates, shown for the $V_{e u}$ scenario with a candidate LQ mass of 2.5 TeV. Distributions of events are binned in the reconstructed dilepton mass, rapidity, and cosine theta.

Interpolated observed and expected UL exclusions on $BR(H\to S) = 1$ for generic signals with $m_{A'} = 1.0\;GeV$ and $BR(A' \rightarrow \pi\pi) = 1.0$. The discreate heatmap points can be found in the UL Generic (Observed & Expected) figure in this sandbox

Upper limits at $95\%$ CL on the LQ-fermion couplings, $|g_{e u}|$, versus $V_{e u}$ mass for vector LQs coupled to electrons.

The observed data in the dielectron channel and the fitted signal-plus-background templates, shown for the $V_{e d}$ scenario with a candidate LQ mass of 2.5 TeV. Distributions of events are binned in the reconstructed dilepton mass, rapidity, and cosine theta.

Upper limits at $95\%$ CL on the LQ-fermion couplings, $|g_{e d}|$, versus $V_{e d}$ mass for vector LQs coupled to electrons.

The observed data in the dimuon channel and the fitted signal-plus-background templates, shown for the $V_{\mu u}$ scenario with a candidate LQ mass of 2.5 TeV. Distributions of events are binned in the reconstructed dilepton mass, rapidity, and cosine theta.

Upper limits at $95\%$ CL on the LQ-fermion couplings, $|g_{\mu u}|$, versus $V_{\mu u}$ mass for vector LQs coupled to muons.

The observed data in the dimuon channel and the fitted signal-plus-background templates, shown for the $V_{\mu d}$ scenario with a candidate LQ mass of 2.5 TeV. Distributions of events are binned in the reconstructed dilepton mass, rapidity, and cosine theta.

Upper limits at $95\%$ CL on the LQ-fermion couplings, $|g_{\mu d}|$, versus $V_{\mu d}$ mass for vector LQs coupled to muons.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the SR (t-pass) and SR (t-fail) after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. A representative mono-top signal (vector coupling scenario) with a mediator mass of 1 TeV, a DM candidate mass of 150 GeV, and a cross section of 1 pb is overlaid as an orange line. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the SR (t-pass) and SR (t-fail) after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. A representative mono-top signal (vector coupling scenario) with a mediator mass of 1 TeV, a DM candidate mass of 150 GeV, and a cross section of 1 pb is overlaid as an orange line. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the W(e$\nu$) (t-pass) and W(e$\nu$) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the W(e$\nu$) (t-pass) and W(e$\nu$) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the W($\mu\nu$) (t-pass) and W($\mu\nu$) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the W($\mu\nu$) (t-pass) and W($\mu\nu$) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the Z(ee) (t-pass) and Z(ee) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the Z(ee) (t-pass) and Z(ee) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the Z($\mu\mu$) (t-pass) and Z($\mu\mu$) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the Z($\mu\mu$) (t-pass) and Z($\mu\mu$) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the t$\bar{t}$ (e$\nu$) (t-pass) and t$\bar{t}$ (e$\nu$) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the t$\bar{t}$ (e$\nu$) (t-pass) and t$\bar{t}$ (e$\nu$) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the tt ($\mu\nu$) (t-pass) and tt ($\mu\nu$) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the tt ($\mu\nu$) (t-pass) and tt ($\mu\nu$) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the $\gamma$ (t-pass) and $\gamma$ (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Postfit distributions of the magnitude of the hadronic recoil $R_{\mathrm{T}}$ in the $\gamma$ (t-pass) and $\gamma$ (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with $R_{\mathrm{T}}$ > 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

Upper limits at 95% CL on $\sigma\mathcal{B}$ of mono-top production presented in the two- dimensional plane spanned by the mediator and DM candidate masses for a mediator mass between 200 and 2250 GeV and a DM candidate mass between 1 and 1125 GeV only consider- ing on-shell decays of the mediator to the DM candidates. The mediator has vector couplings to quarks and DM candidates in the upper plot and axial-vector couplings in the lower plot. The median expected exclusion range is indicated by a black solid line, demonstrating the search sensitivity of the analysis. The 68% probability interval of the expected exclusion is shown in black dashed lines. Contours of theory predictions for constant values of $\sigma\mathcal{B}$ are shown in gray dashed lines. The observed exclusion contour of mediator and DM candidate masses is rep- resented by the red solid line. The exclusion contour obtained from measurements of the DM relic density $\Omega_{\mathrm{nbm}}h^2$ by the Planck Collaboration is shown in the gray solid line.

Upper limits at 95% CL on $\sigma\mathcal{B}$ of mono-top production presented in the two- dimensional plane spanned by the mediator and DM candidate masses for a mediator mass between 200 and 2250 GeV and a DM candidate mass between 1 and 1125 GeV only consider- ing on-shell decays of the mediator to the DM candidates. The mediator has vector couplings to quarks and DM candidates in the upper plot and axial-vector couplings in the lower plot. The median expected exclusion range is indicated by a black solid line, demonstrating the search sensitivity of the analysis. The 68% probability interval of the expected exclusion is shown in black dashed lines. Contours of theory predictions for constant values of $\sigma\mathcal{B}$ are shown in gray dashed lines. The observed exclusion contour of mediator and DM candidate masses is rep- resented by the red solid line. The exclusion contour obtained from measurements of the DM relic density $\Omega_{\mathrm{nbm}}h^2$ by the Planck Collaboration is shown in the gray solid line.

Observed profile likelihood as a function of $\sigma\times\mathcal{B}_{H\rightarrow WW^{*}}$ normalised by the SM expectation for the single-channel measurements

Two-dimensional likelihood scan of the measured values of $\sigma_{ZH}\times\mathcal{B}_{H\rightarrow WW^{*}}$ vs. $\sigma_{WH}\times\mathcal{B}_{H\rightarrow WW^{*}}$.

The observed values of the background normalisation factors for the combined 2-POI fit. The uncertainties correspond to the total of all statistical and systematic sources.

Measured cross sections times the $H\rightarrow WW^{*}$ branching ratio for the $p_T^V$ scheme.

Measured cross sections times the $H\rightarrow WW^{*}$ branching ratio for the STXS scheme. Note: the uncertainties of "-0" are due to the confidence interval reaching the minimum allowed value of the POI.

Correlation matrix of the POIs and normalisation factors for the 2-POI inclusive analysis

Correlation matrix of the parameters of interest, normalisation factors and nuissance parameters for the $p_T^V$ scheme

Correlation matrix of the parameters of interest, normalisation factors and nuissance parameters for the STXS scheme

Event data from Z-dominated SR