Measured natural width

The measured inclusive ratio of production cross sections

Expected and observed 95% CL upper limits on the branching ratio of the Higgs boson decay to $Za$ times the branching ratio $a $->$ \gamma \gamma$ as a function of the $a$ particle mass in the merged ($m_a \le 2$ GeV) and the resolved ($m_a > 2$ GeV) categories. The figure uses $pp$ collision data at $\sqrt{s}=13$ TeV corresponding to 139 fb$^{-1}$.

ATLAS observed 95% CL exclusion contours limits in terms of the ALP mass and its effective coupling to photons, $|C_{\gamma\gamma}|/\Lambda$, for different values of the Higgs coupling to $Za$, $|C_{Zh}|/\Lambda$. The figure uses $pp$ collision data at $\sqrt{s}=13$ TeV corresponding to 139 fb$^{-1}$. The value 100 in the tables is presentational, denoting the upper edge of the plot.

Distribution of $m_{\mathrm{JJ}}$ in the SR (black points) compared to the background-only expectation, where the shape is derived from the CR and the normalisation is fitted in the SR.

Observed and expected limits at 95% CL on the cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model A (see the text for details). The darker and lighter shaded bands around the expected limits represent the $\pm 1 \sigma$ and $\pm 2 \sigma$ uncertainty range, respectively.

The predicted theory cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model A (see the text for details). In the theory model, a universal coupling of the $Z^\prime$ to each SM quark $g_q$ is assumed and the dark quarks are all represented by one species with an effective coupling $g_{q_d}$ to the $Z^\prime$. For model A, the predicted cross-section is shown for $g_q=0.05$ and $g_{q_d} = 0.2$.

Observed and expected limits at 95% CL on the cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model B (see the text for details). The darker and lighter shaded bands around the expected limits represent the $\pm 1 \sigma$ and $\pm 2 \sigma$ uncertainty range, respectively.

The predicted theory cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model B (see the text for details). In the theory model, a universal coupling of the $Z^\prime$ to each SM quark $g_q$ is assumed and the dark quarks are all represented by one species with an effective coupling $g_{q_d}$ to the $Z^\prime$. For model B, the predicted cross-section is shown for $g_q=0.15$ and $g_{q_d} = 0.5$.

Observed and expected limits at 95% CL on the cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model C (see the text for details). The darker and lighter shaded bands around the expected limits represent the $\pm 1 \sigma$ and $\pm 2 \sigma$ uncertainty range, respectively.

The predicted theory cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model C (see the text for details). In the theory model, a universal coupling of the $Z^\prime$ to each SM quark $g_q$ is assumed and the dark quarks are all represented by one species with an effective coupling $g_{q_d}$ to the $Z^\prime$. For model C, the predicted cross-section is shown for $g_q=0.15$ and $g_{q_d}= 0.5$.

Observed and expected limits at 95% CL on the cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model D (see the text for details). The darker and lighter shaded bands around the expected limits represent the $\pm 1 \sigma$ and $\pm 2 \sigma$ uncertainty range, respectively.

The predicted theory cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model D (see the text for details). In the theory model, a universal coupling of the $Z^\prime$ to each SM quark $g_q$ is assumed and the dark quarks are all represented by one species with an effective coupling $g_{q_d}$ to the $Z^\prime$. For model D, the predicted cross-section is shown for $g_q=0.05$ and $g_{q_d} = 0.2$.

Relative efficiency (in %) of each stage of the analysis selection with respect to the previous one for models A through D and $m_{Z^\prime}=2.5$ TeV. Approximately 90000 events were generated per signal mass hypothesis.

Electron $p_{T}$ distribution using 2016-2018 data sets. The complete set of selection criteria were applied. Two examples of SSM WPRIME boson signal samples with masses of 3.8 and 5.6 TeV are shown. The lower panel shows the ratio of data to SM prediction, and the shaded band represents the systematic uncertainties.

$p_{T}^{miss}$ distribution in the electron channel using 2016-2018 data sets. The complete set of selection criteria were applied. Two examples of SSM WPRIME boson signal samples with masses of 3.8 and 5.6 TeV are shown. The lower panel shows the ratio of data to SM prediction, and the shaded band represents the systematic uncertainties.

Muon $p_T$ distribution using 2016-2018 data sets. The complete set of selection criteria were applied. Two examples of SSM WPRIME boson signal samples with masses of 3.8 and 5.6 TeV are shown. The lower panel shows the ratio of data to SM prediction, and the shaded band represents the systematic uncertainties.

$p_T^{miss}$ distribution in the muon channel using 2016-2018 data sets. The complete set of selection criteria were applied. Two examples of SSM WPRIME boson signal samples with masses of 3.8 and 5.6 TeV are shown. The lower panel shows the ratio of data to SM prediction, and the shaded band represents the systematic uncertainties.

$M_T$ distribution for the E+INVISIBLE system using 2016-2018 data sets. The complete set of selection criteria were applied. Two examples of SSM WPRIME boson signal samples with masses of 3.8 and 5.6 TeV are shown. The lower panel shows the ratio of data to SM prediction, and the shaded band represents the systematic uncertainties.

$M_T$ distribution for the MU+INVISIBLE system using 2016-2018 data sets. The complete set of selection criteria were applied. Two examples of SSM WPRIME boson signal samples with masses of 3.8 and 5.6 TeV are shown. The lower panel shows the ratio of data to SM prediction, and the shaded band represents the systematic uncertainties.

Theoretical prediction for the production and decay cross-section of SSM WPRIME bosons (W --> LEPTON + NU) as a function of the WPRIME mass, for the range 200-6400 GeV and inclusive in phase-space (no cuts). The uncertainty shown covers PDF and ALPHAS uncertainties. These theoretical predictions are obtained with PYTHIA (LO) and corrected to NNLO in QCD using FEWZ program.

Observed (solid line) and expected (dashed line) upper limits at 95% CL on the product of WPRIME cross-section production and BF(WPRIME --> LEPTON + NU) for an SSM WPRIME boson, as a function of the boson mass, for the electron decay channel. The shaded bands represent the one (green) and two (yellow) standard deviation uncertainty bands for the expected limits. The theoretical predictions for the SSM at NNLO precision in QCD are shown with narrow gray bands corresponding to the PDF and ALPHAS uncertainties.

Observed (solid line) and expected (dashed line) upper limits at 95% CL on the product of WPRIME cross-section production and BF(WPRIME --> LEPTON + NU) for an SSM WPRIME boson, as a function of the boson mass, for the muon decay channel. The shaded bands represent the one (green) and two (yellow) standard deviation uncertainty bands for the expected limits. The theoretical predictions for the SSM at NNLO precision in QCD are shown with narrow gray bands corresponding to the PDF and ALPHAS uncertainties.

Observed (solid line) and expected (dashed line) upper limits at 95% CL on the product of WPRIME cross-section production and BF(WPRIME --> LEPTON + NU) for an SSM WPRIME boson, as a function of the boson mass, for the combined electron and muon decay channels. The shaded bands represent the one (green) and two (yellow) standard deviation uncertainty bands for the expected limits. The theoretical predictions for the SSM at NNLO precision in QCD are shown with narrow gray bands corresponding to the PDF and ALPHAS uncertainties.

The 95% CL observed (solid line) and expected (dashed line) model independent cross section upper limits as function of the $MT_{min}$ threshold, for the electron decay channel. The shaded bands represent the one (green) and two (yellow) standard deviation uncertainty bands for the expected limits.

The 95% CL observed (solid line) and expected (dashed line) model independent cross section upper limits as function of the $MT_{min}$ threshold, for the muon decay channel. The shaded bands represent the one (green) and two (yellow) standard deviation uncertainty bands for the expected limits.

The 95% CL observed (solid line) and expected (dashed line) model independent cross section upper limits as function of the $MT_{min}$ threshold, for the combined electron and muon decay channels. The shaded bands represent the one (green) and two (yellow) standard deviation uncertainty bands for the expected limits.

Observed (solid line) and expected (dashed line) upper limits at 95% CL on the coupling strength ratio, gWprime/gW as a function of the mass of the WPRIME boson, for the electron channel. The one (green) and two (yellow) standard deviation uncertainty bands for the expected limits are shown. The area above the limit curve is excluded. The dotted line represents the case of SSM coupling, gWprime, being equal to gW, the SM coupling.

Observed (solid line) and expected (dashed line) upper limits at 95% CL on the coupling strength ratio, gWprime/gW, as a function of the mass of the WPRIME boson, for the muon channel. The one (green) and two (yellow) standard deviation uncertainty bands for the expected limits are shown. The area above the limit curve is excluded. The dotted line represents the case of SSM coupling, gWprime , being equal to gW, the SM coupling.

Exclusion limits in the 2D plane (1/R, $\mu$) for the split-UED interpretation for the n = 2 case, for the electron channel for the 2016-2018 data sets. R is the radius of the additional spatial dimension and $\mu$ the bulk mass for the fermion field in five dimensions. The expected limit is depicted as a black dashed line. The one (green) and two (yellow) standard deviation uncertainty bands for the expected limits are shown. The experimentally excluded region is the entire area to the left of the solid black line.

Exclusion limits in the 2D plane (1/R, $\mu$) for the split-UED interpretation for the n = 2 case, for the muon channel for the 2016-2018 data sets. R is the radius of the additional spatial dimension and $\mu$ the bulk mass for the fermion field in five dimensions. The expected limit is depicted as a black dashed line. The one (green) and two (yellow) standard deviation uncertainty bands for the expected limits are shown. The experimentally excluded region is the entire area to the left of the solid black line.

Exclusion limits in the 2D plane (1/R, $\mu$) for the split-UED interpretation for the n = 2 case, for the combined electron and muon channels for the 2016-2018 data sets. R is the radius of the additional spatial dimension and $\mu$ the bulk mass for the fermion field in five dimensions. The expected limit is depicted as a black dashed line. The one (green) and two (yellow) standard deviation uncertainty bands for the expected limits are shown. The experimentally excluded region is the entire area to the left of the solid black line.

Observed (solid line) and expected (dashed line) upper limits at 95% CL on the ${\lambda}_{231}$ coupling in the RPV SUSY model with a STAU mediator, as a function of the mass of STAU, for the electron channel and for the production coupling, ${\lambda}^{'}_{3ij}$=0.5 . The couplings ${\lambda}^{'}_{3ij}$, ${\lambda}_{231}$, and ${\lambda}_{132}$ are defined in Fig. 1. The one (green) and two (yellow) standard deviation uncertainty bands for the expected limits are shown. The area above the limit curve is excluded. Limits for other values of ${\lambda}^{'}_{3ij}$ are obtained multiplying the ones shown by the ratio ${\lambda}^{'}_{3ij}$/0.5

Observed (solid line) and expected (dashed line) upper limits at 95% CL on the ${\lambda}_{132}$ coupling in the RPV SUSY model with a stau mediator, as a function of the mass of the stau, for the muon channel and for the production coupling, ${\lambda}^{'}_{3ij}$ = 0.5 . The couplings ${\lambda}^{'}_{3ij}$, ${\lambda}_{231}$, and ${\lambda}_{132}$ are defined in Fig. 1. The one (green) and two (yellow) standard deviation uncertainty bands for the expected limits are shown. The area above the limit curve is excluded. Limits for other values of ${\lambda}^{'}_{3ij}$ are obtained multiplying these ones by the ratio ${\lambda}^{'}_{3ij}$/0.5

Region in the oblique (W,Y) parameter phase space allowed by the current analysis at 95% CL. The combination of the electron and muon channel distributions from the 2017 and 2018 data sets at sqrt(s) = 13 TeV is used, having 101 fb-1 of luminosity.

Negative Log-Likelihood for the determination of the oblique W parameter, for the combination of the electron and muon channel and for 2017 and 2018 data sets (L=101 fb-1) at sqrt(s) = 13 TeV.

Total background estimate and observed data in all bins used in the limit calculation for the SSM WPRIME limits. The total event sample is split into the three years of data taking and the two lepton flavors.The distributions being shown are $M_T$ ones. The associated integrated luminosities for each year are of 35.9, 41.5, and 59.4 fb$̣^{-1}. The mass bins are numbered in ascending order.

Parametrization of the $A_{X}$ factor, defined as the fraction of diphoton resonances satisfying the fiducial acceptance at the particle level, as function of $m_{X}$ obtained from the narrow width simulated signal samples produced in gluon fusion.

The correction factor, $C_{X}$, defined as the ratio between the number of reconstructed signal events passing the analysis cuts and the number of signal events at the particle level generated within the fiducial volume, and acceptance correction factor, $A_{X}$, defined as the fraction of diphoton resonances satisfying the fiducial acceptance at the particle level. Both are computed for NWA spin-0 models as a function of $m_{X}$.

Effect of event selections on a scalar MC signal sample generated for $m_{X}$ = 15 GeV and on the data. For the MC sample, the efficiencies are shown after applying event weights and a truth level filter that requires two photons with $p^{\gamma\gamma}_{T}>40$ GeV; for the data, the absolute yields are shown. The initial yields for data include a trigger preselection that is the OR of a list of single photon and diphoton triggers. The "2 $loose$ photons" step includes the kinematic acceptance cuts.

Parameterization of the Double Sided Crystal Ball function parameters describing the scalar mass resolution model as a function of $m_{X}$ [GeV].

Distribution of the MLP W+jets score in the CRs for the $T\overline{T}$ search. The observed data, predicted $T\overline{T}$ signal with mass of 1.2 (1.5) TeV in the singlet scenario, and the background are all shown. Statistical and systematic uncertainties in the background prediction before performing the fit to data are also shown.

Distribution of DeepAK8 jet tags in the DeepAK8 CR of the $T\overline{T}$ search. The observed data are shown using black markers, $T\overline{T}$ signals using solid lines, and background using filled histograms. Statistical and systematic uncertainties in the background prediction before performing the fit to data are shown by the hatched region.

Distribution of HT in the W+jets CR of the $T\overline{T}$ search. The observed data are shown using black markers, $T\overline{T}$ signals using solid lines, and background using filled histograms. Statistical and systematic uncertainties in the background prediction before performing the fit to data are shown by the hatched region.

Distribution of HT in the $T\overline{T}$ CR of the $T\overline{T}$ search. The observed data are shown using black markers, $T\overline{T}$ signals using solid lines, and background using filled histograms. Statistical and systematic uncertainties in the background prediction before performing the fit to data are shown by the hatched region.

Numbers of predicted and observed CR events in 2016--2018 data for the $T\overline{T}$ signal hypotheses in the single-lepton channel, after a background-only fit to data. Predicted numbers of signal events before the fit to data are included for comparison, using the singlet branching fraction scenario. Uncertainties include statistical and systematic components, and lepton flavor categories are combined with their uncertainties added in quadrature. Values in the DeepAK8 CR represent the number of large-radius jets rather than number of events.

Numbers of predicted and observed CR events in 2016--2018 data for the $B\overline{B}$ signal hypotheses in the single-lepton channel, after a background-only fit to data. Predicted numbers of signal events before the fit to data are included for comparison, using the singlet branching fraction scenario. Uncertainties include statistical and systematic components, and lepton flavor categories are combined with their uncertainties added in quadrature. Values in the DeepAK8 CR represent the number of large-radius jets rather than number of events.

Numbers of predicted and observed CR events in 2017--2018 data in the same-sign dilepton channel, after a background-only fit to data. Predicted numbers of signal events before the fit to data are included for comparison, using the singlet branching fraction scenario. Uncertainties include statistical and systematic components. Predictions for 2017 and 2018 are combined with their uncertainties added in quadrature.

Distribution of lepton $p_T$ in 2017 in the multilepton channel nonprompt lepton control region for all flavor categories, evaluated with the best-fit nonprompt rates. The uncertainty shown is the quadratic sum of statistical and systematics uncertainties.

Distribution of lepton $p_T$ in 2018 in the multilepton channel nonprompt lepton control region for all flavor categories, evaluated with the best-fit nonprompt rates. The uncertainty shown is the quadratic sum of statistical and systematics uncertainties.

Numbers of predicted and observed CR events in 2017--2018 data in the multilepton channel, after a background-only fit to data. Predicted numbers of signal events before the fit to data are included for comparison, using the singlet branching fraction scenario. Uncertainties include statistical and systematic components. Predictions for 2017 and 2018 are combined with their uncertainties added in quadrature.

Numbers of predicted and observed $T\overline{T}$ SR events in 2016--2018 data in the single-lepton channel, after a background-only fit to data. Predicted numbers of signal events before the fit to data are included for comparison, using the singlet branching fraction scenario. Uncertainties include statistical and systematic components, and lepton flavor categories are combined with their uncertainties added in quadrature.

Distribution of the VLQ score in single-lepton category 1. Observed data is shown using black markers, $T\overline{T}$ signal with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region. Electron and muon categories have been combined with their uncertainties added in quadrature.

Distribution of the VLQ score in single-lepton category 2. Observed data is shown using black markers, $T\overline{T}$ signal with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region. Electron and muon categories have been combined with their uncertainties added in quadrature.

Distribution of the VLQ score in single-lepton category 3. Observed data is shown using black markers, $T\overline{T}$ signal with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region. Electron and muon categories have been combined with their uncertainties added in quadrature.

Distribution of the VLQ score in single-lepton category 4. Observed data is shown using black markers, $T\overline{T}$ signal with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region. Electron and muon categories have been combined with their uncertainties added in quadrature.

Distribution of the VLQ score in single-lepton category 5. Observed data is shown using black markers, $T\overline{T}$ signal with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region. Electron and muon categories have been combined with their uncertainties added in quadrature.

Distribution of the VLQ score in single-lepton category 6. Observed data is shown using black markers, $T\overline{T}$ signal with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region. Electron and muon categories have been combined with their uncertainties added in quadrature.

Distribution of the VLQ score in single-lepton category 7. Observed data is shown using black markers, $T\overline{T}$ signal with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region. Electron and muon categories have been combined with their uncertainties added in quadrature.

Distribution of the VLQ score in single-lepton category 8. Observed data is shown using black markers, $T\overline{T}$ signal with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region. Electron and muon categories have been combined with their uncertainties added in quadrature.

Distribution of the VLQ score in single-lepton category 9. Observed data is shown using black markers, $T\overline{T}$ signal with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region. Electron and muon categories have been combined with their uncertainties added in quadrature.

Distribution of the VLQ score in single-lepton category 10. Observed data is shown using black markers, $T\overline{T}$ signal with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region. Electron and muon categories have been combined with their uncertainties added in quadrature.

Distribution of the VLQ score in single-lepton category 11. Observed data is shown using black markers, $T\overline{T}$ signal with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region. Electron and muon categories have been combined with their uncertainties added in quadrature.

Distribution of the VLQ score in single-lepton category 12. Observed data is shown using black markers, $T\overline{T}$ signal with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region. Electron and muon categories have been combined with their uncertainties added in quadrature.

Distribution of $H_T^{\mathrm{lep}}$ in the same-sign dilepton signal region for $ee$ category. Data from 2017 and 2018 is shown using black markers, $T\overline{T}$ signals with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region.

Distribution of $H_T^{\mathrm{lep}}$ in the same-sign dilepton signal region for $e\mu$ category. Data from 2017 and 2018 is shown using black markers, $T\overline{T}$ signals with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region.

Distribution of $H_T^{\mathrm{lep}}$ in the same-sign dilepton signal region for $\mu\mu$ category. Data from 2017 and 2018 is shown using black markers, $T\overline{T}$ signals with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region.

Distribution of $S_T$ in the multilepton signal region for $eee$ category. Data from 2017 and 2018 is shown using black markers, $T\overline{T}$ signals with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region.

Distribution of $S_T$ in the multilepton signal region for $ee\mu$ category. Data from 2017 and 2018 is shown using black markers, $T\overline{T}$ signals with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region.

Distribution of $S_T$ in the multilepton signal region for $e\mu\mu$ category. Data from 2017 and 2018 is shown using black markers, $T\overline{T}$ signals with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region.

Distribution of $S_T$ in the multilepton signal region for $\mu\mu\mu$ category. Data from 2017 and 2018 is shown using black markers, $T\overline{T}$ signals with mass of 1.2 (1.5) TeV in the singlet scenario using solid (dashed) lines, and post-fit background using filled histograms. Statistical and systematic uncertainties in the background prediction after performing the fit to data are shown by the hatched region.

Numbers of predicted and observed $B\overline{B}$ SR events in 2016--2018 data in the single-lepton channel, after a background-only fit to data. Predicted numbers of signal events before the fit to data are included for comparison, using the singlet branching fraction scenario. Uncertainties include statistical and systematic components, and lepton flavor categories are combined with their uncertainties added in quadrature.

Numbers of predicted and observed SR events in 2017--2018 data in the same-sign dilepton channel, after a background-only fit to data. Predicted numbers of signal events before the fit to data are included for comparison, using the singlet branching fraction scenario. Uncertainties include statistical and systematic components. Predictions for 2017 and 2018 are combined with their uncertainties added in quadrature.

Numbers of predicted and observed SR events in 2017--2018 data in the multilepton channel, after a background-only fit to data. Predicted numbers of signal events before the fit to data are included for comparison, using the singlet branching fraction scenario. Uncertainties include statistical and systematic components. Predictions for 2017 and 2018 are combined with their uncertainties added in quadrature.

Expected and observed lower limits on the VLT quark masses.

Expected and observed lower limits on the VLB quark masses.

Expected 95% CL upper limits on $T\overline{T}$ production cross sections for the singlet combination.

Expected 95% CL upper limits on $T\overline{T}$ production cross sections for the doublet combination.

Expected 95% CL upper limits on $B\overline{B}$ production cross sections for the singlet combination.

Expected 95% CL upper limits on $B\overline{B}$ production cross sections for the doublet combination.

The 95% CL expected lower mass limits on pair-produced T quark masses as functions of their branching ratios to W and H bosons.

The 95% CL observed lower mass limits on pair-produced T quark masses as functions of their branching ratios to W and H bosons.

The 95% CL expected lower mass limits on pair-produced B quark masses as functions of their branching ratios to W and H bosons.

The 95% CL observed lower mass limits on pair-produced B quark masses as functions of their branching ratios to W and H bosons.

Expected and observed limits at 95% CL on the branching fraction B(hb --> PHI X) . B(PHI --> mu+mu-) as a function of signal mass for signal lifetime of 100 mm

Expected and observed limits at 95% CL on the branching fraction B(H --> ZD ZD) . B(ZD --> mu+mu-) as a function of signal mass for signal lifetime of 1 mm

Expected and observed limits at 95% CL on the branching fraction B(H --> ZD ZD) . B(ZD --> mu+mu-) as a function of signal mass for signal lifetime of 1 mm

Expected and observed limits at 95% CL on the branching fraction B(H --> ZD ZD) . B(ZD --> mu+mu-) as a function of signal mass for signal lifetime of 100 mm

Expected and observed limits at 95% CL on the branching fraction B(H --> ZD ZD) . B(ZD --> mu+mu-) as a function of signal mass for signal lifetime of 100 mm

Expected and observed limits at 95% CL on the branching fraction B(H --> ZD ZD) as a function of signal mass for signal lifetime of 1 mm

Expected and observed limits at 95% CL on the branching fraction B(H --> ZD ZD) as a function of signal mass for signal lifetime of 1 mm

Expected and observed limits at 95% CL on the branching fraction B(H --> ZD ZD) as a function of signal mass for signal lifetime of 100 mm

Expected and observed limits at 95% CL on the branching fraction B(H --> ZD ZD) as a function of signal mass for signal lifetime of 100 mm

Observed limits at 95% CL on the branching fraction B(hb --> PHI X) . B(PHI --> mu+mu-) in the parameter space containing signal mass and signal lifetime. The ROOT file containing the values are available as additional resource

Observed limits at 95% CL on the branching fraction B(hb --> PHI X) . B(PHI --> mu+mu-) in the parameter space containing signal mass and signal lifetime. The ROOT file containing the values is available as additional resource

Observed limits at 95% CL on the branching fraction B(H --> ZD ZD) in the parameter space containing signal mass and signal lifetime. The ROOT file containing the values are available as additional resource

Observed limits at 95% CL on the branching fraction B(H --> ZD ZD) in the parameter space containing signal mass and signal lifetime. The ROOT file containing the values is available as additional resource

Region excluded at 95% CL using this search for the inflaton model in the parameter space containing signal mass and square of the signal mixing angle

Region excluded at 95% CL using this search for the inflaton model in the parameter space containing signal mass and square of the signal mixing angle

Observed limits at 95% CL on the branching fraction B(H --> ZD ZD) in the parameter space containing signal mass and kinetic mixing parameter. The ROOT file containing the values are available as additional resource

Observed limits at 95% CL on the branching fraction B(H --> ZD ZD) in the parameter space containing signal mass and kinetic mixing parameter. The ROOT file containing the values is available as additional resource

Observed limits at 95% CL on the branching fraction B(hb --> PHI X) . B(PHI --> mu+mu-) as a function of signal lifetime for various representative signal mass hypotheses

Observed limits at 95% CL on the branching fraction B(H --> ZD ZD) as a function of signal lifetime for various representative signal mass hypotheses

CMS and LHCb observed limits at 95% CL on the branching fraction B(hb --> PHI X) . B(PHI --> mu+mu-) as a function of signal mass for signal lifetime of 1 mm

CMS and LHCb observed limits at 95% CL on the branching fraction B(hb --> PHI X) . B(PHI --> mu+mu-) as a function of signal mass for signal lifetime of 10 mm

CMS and LHCb observed limits at 95% CL on the branching fraction B(hb --> PHI X) . B(PHI --> mu+mu-) as a function of signal mass for signal lifetime of 100 mm

Observed limits at 95% CL on number of signal events in aggregate signal region 0.2 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 0 GeV and no requirement on muon isolation

Observed limits at 95% CL on number of signal events in aggregate signal region 0.2 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 0 GeV and two isolated muons

Observed limits at 95% CL on number of signal events in aggregate signal region 0.2 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 25 GeV and no requirement on muon isolation

Observed limits at 95% CL on number of signal events in aggregate signal region 0.2 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 25 GeV and two isolated muons

Observed limits at 95% CL on number of signal events in aggregate signal region 1.0 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 0 GeV and no requirement on muon isolation

Observed limits at 95% CL on number of signal events in aggregate signal region 1.0 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 0 GeV and two isolated muons

Observed limits at 95% CL on number of signal events in aggregate signal region 1.0 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 25 GeV and no requirement on muon isolation

Observed limits at 95% CL on number of signal events in aggregate signal region 1.0 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 25 GeV and two isolated muons

Observed limits at 95% CL on number of signal events in aggregate signal region 2.4 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 0 GeV and no requirement on muon isolation

Observed limits at 95% CL on number of signal events in aggregate signal region 2.4 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 0 GeV and two isolated muons

Observed limits at 95% CL on number of signal events in aggregate signal region 2.4 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 25 GeV and no requirement on muon isolation

Observed limits at 95% CL on number of signal events in aggregate signal region 2.4 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 25 GeV and two isolated muons

Observed limits at 95% CL on number of signal events in aggregate signal region 3.1 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 0 GeV and no requirement on muon isolation

Observed limits at 95% CL on number of signal events in aggregate signal region 3.1 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 0 GeV and two isolated muons

Observed limits at 95% CL on number of signal events in aggregate signal region 3.1 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 25 GeV and no requirement on muon isolation

Observed limits at 95% CL on number of signal events in aggregate signal region 3.1 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 25 GeV and two isolated muons

Observed limits at 95% CL on number of signal events in aggregate signal region 7.0 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 0 GeV and no requirement on muon isolation

Observed limits at 95% CL on number of signal events in aggregate signal region 7.0 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 0 GeV and two isolated muons

Observed limits at 95% CL on number of signal events in aggregate signal region 7.0 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 25 GeV and no requirement on muon isolation

Observed limits at 95% CL on number of signal events in aggregate signal region 7.0 cm $\leq$ lxy < 11.0 cm, dimuon pt $\geq$ 25 GeV and two isolated muons

Measured DPS effective cross section

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

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

Reconstructed VLQ mass distributions for simulated signal events with a generated VLQ mass $m_{B} = 1200\GeV$. A moderate requirement of $\chi^{2}$/ndf < 2$ is applied to the events. Mass distributions for 4-jet (left), 5-jet (center), and 6-jet (right) events are shown for the three decay modes: bHbH (upper row), bHbZ (middle row), and bZbZ (lower row).

Reconstructed VLQ mass distributions for simulated signal events with a generated VLQ mass $m_{B} = 1200\GeV$. A moderate requirement of $\chi^{2}$/ndf < 2$ is applied to the events. Mass distributions for 4-jet (left), 5-jet (center), and 6-jet (right) events are shown for the three decay modes: bHbH (upper row), bHbZ (middle row), and bZbZ (lower row).

Reconstructed VLQ mass distributions for simulated signal events with a generated VLQ mass $m_{B} = 1200\GeV$. A moderate requirement of $\chi^{2}$/ndf < 2$ is applied to the events. Mass distributions for 4-jet (left), 5-jet (center), and 6-jet (right) events are shown for the three decay modes: bHbH (upper row), bHbZ (middle row), and bZbZ (lower row).

Reconstructed VLQ mass distributions for simulated signal events with a generated VLQ mass $m_{B} = 1200\GeV$. A moderate requirement of $\chi^{2}$/ndf < 2$ is applied to the events. Mass distributions for 4-jet (left), 5-jet (center), and 6-jet (right) events are shown for the three decay modes: bHbH (upper row), bHbZ (middle row), and bZbZ (lower row).

Reconstructed VLQ mass distributions for simulated signal events with a generated VLQ mass $m_{B} = 1200\GeV$. A moderate requirement of $\chi^{2}$/ndf < 2$ is applied to the events. Mass distributions for 4-jet (left), 5-jet (center), and 6-jet (right) events are shown for the three decay modes: bHbH (upper row), bHbZ (middle row), and bZbZ (lower row).

Reconstructed VLQ mass distributions for simulated signal events with a generated VLQ mass $m_{B} = 1200\GeV$. A moderate requirement of $\chi^{2}$/ndf < 2$ is applied to the events. Mass distributions for 4-jet (left), 5-jet (center), and 6-jet (right) events are shown for the three decay modes: bHbH (upper row), bHbZ (middle row), and bZbZ (lower row).

Reconstructed VLQ mass distributions for simulated signal events with a generated VLQ mass $m_{B} = 1200\GeV$. A moderate requirement of $\chi^{2}$/ndf < 2$ is applied to the events. Mass distributions for 4-jet (left), 5-jet (center), and 6-jet (right) events are shown for the three decay modes: bHbH (upper row), bHbZ (middle row), and bZbZ (lower row).

Distribution of $\chi^{2}$/ndf for the best jet combination for simulated 1200\GeV VLQ events (red histogram) and data (black points), for 4-jet events (left), 5-jet events (center), and 6-jet events (right). The simulated signal events and data events are normalized to the same value within the displayed $\chi^{2}$/ndf range.

Distribution of $\chi^{2}$/ndf for the best jet combination for simulated 1200\GeV VLQ events (red histogram) and data (black points), for 4-jet events (left), 5-jet events (center), and 6-jet events (right). The simulated signal events and data events are normalized to the same value within the displayed $\chi^{2}$/ndf range.

Distribution of $\chi^{2}$/ndf for the best jet combination for simulated 1200\GeV VLQ events (red histogram) and data (black points), for 4-jet events (left), 5-jet events (center), and 6-jet events (right). The simulated signal events and data events are normalized to the same value within the displayed $\chi^{2}$/ndf range.

Distributions of the average reconstructed mass of VLQ candidates for the jet combination with the least $\chi^{2}$ in 4-jet (left), 5-jet (center), and 6-jet (right) multiplicity events. The red lines show the exponential fit in the range 1000-2000 GeV. The lower panels show the fractional difference, (data-fit)/fit

Distributions of the average reconstructed mass of VLQ candidates for the jet combination with the least $\chi^{2}$ in 4-jet (left), 5-jet (center), and 6-jet (right) multiplicity events. The red lines show the exponential fit in the range 1000-2000 GeV. The lower panels show the fractional difference, (data-fit)/fit

Distributions of the average reconstructed mass of VLQ candidates for the jet combination with the least $\chi^{2}$ in 4-jet (left), 5-jet (center), and 6-jet (right) multiplicity events. The red lines show the exponential fit in the range 1000-2000 GeV. The lower panels show the fractional difference, (data-fit)/fit

Dependence of the BJTF on the average reconstructed VLQ mass in the control region, 12 < $\chi^{2}$/ndf < 48 for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on the average reconstructed VLQ mass in the control region, 12 < $\chi^{2}$/ndf < 48 for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on the average reconstructed VLQ mass in the control region, 12 < $\chi^{2}$/ndf < 48 for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on the average reconstructed VLQ mass in the control region, 12 < $\chi^{2}$/ndf < 48 for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on the average reconstructed VLQ mass in the control region, 12 < $\chi^{2}$/ndf < 48 for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on the average reconstructed VLQ mass in the control region, 12 < $\chi^{2}$/ndf < 48 for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on the average reconstructed VLQ mass in the control region, 12 < $\chi^{2}$/ndf < 48 for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on the average reconstructed VLQ mass in the control region, 12 < $\chi^{2}$/ndf < 48 for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on the average reconstructed VLQ mass in the control region, 12 < $\chi^{2}$/ndf < 48 for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on $\chi^{2}$/ndf in the low-mass VLQ region, for 4-jet (left column), 5-jet, (center column) and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on $\chi^{2}$/ndf in the low-mass VLQ region, for 4-jet (left column), 5-jet, (center column) and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on $\chi^{2}$/ndf in the low-mass VLQ region, for 4-jet (left column), 5-jet, (center column) and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on $\chi^{2}$/ndf in the low-mass VLQ region, for 4-jet (left column), 5-jet, (center column) and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on $\chi^{2}$/ndf in the low-mass VLQ region, for 4-jet (left column), 5-jet, (center column) and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on $\chi^{2}$/ndf in the low-mass VLQ region, for 4-jet (left column), 5-jet, (center column) and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on $\chi^{2}$/ndf in the low-mass VLQ region, for 4-jet (left column), 5-jet, (center column) and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on $\chi^{2}$/ndf in the low-mass VLQ region, for 4-jet (left column), 5-jet, (center column) and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

Dependence of the BJTF on $\chi^{2}$/ndf in the low-mass VLQ region, for 4-jet (left column), 5-jet, (center column) and 6-jet (right column) multiplicities and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes. The data is shown in black points, and the linear fit and its uncertainty are shown as the red line and the pale red band.

The reduction factor in data events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in data events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in data events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in data events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in data events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in data events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in data events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in data events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in data events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in $m_B$ = 1200 GeV VLQ signal events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in $m_B$ = 1200 GeV VLQ signal events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in $m_B$ = 1200 GeV VLQ signal events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in $m_B$ = 1200 GeV VLQ signal events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in $m_B$ = 1200 GeV VLQ signal events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in $m_B$ = 1200 GeV VLQ signal events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in $m_B$ = 1200 GeV VLQ signal events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in $m_B$ = 1200 GeV VLQ signal events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

The reduction factor in $m_B$ = 1200 GeV VLQ signal events, for 4-jet (left column), 5-jet (center column), and 6-jet (right column) multiplicities, and for the bHbH (upper row), bHbZ (middle row), and bZbZ (lower row) event modes.

Data (black points), expected background (solid blue histogram), and expected background plus a VLQ signal for different VLQ masses (colored lines). Left column: 4-jet events, center column: 5-jet events, right column: 6-jet events; upper row: bHbH, middle row: bHbZ,lower row: bZbZ. For the signal, a 100% B -> bH branching fraction is assumed. The hatched regions for the background and background plus signal distributions indicate the systematic uncertainties. All three data-taking years are combined.

Data (black points), expected background (solid blue histogram), and expected background plus a VLQ signal for different VLQ masses (colored lines). Left column: 4-jet events, center column: 5-jet events, right column: 6-jet events; upper row: bHbH, middle row: bHbZ,lower row: bZbZ. For the signal, a 100% B -> bH branching fraction is assumed. The hatched regions for the background and background plus signal distributions indicate the systematic uncertainties. All three data-taking years are combined.

Data (black points), expected background (solid blue histogram), and expected background plus a VLQ signal for different VLQ masses (colored lines). Left column: 4-jet events, center column: 5-jet events, right column: 6-jet events; upper row: bHbH, middle row: bHbZ,lower row: bZbZ. For the signal, a 100% B -> bH branching fraction is assumed. The hatched regions for the background and background plus signal distributions indicate the systematic uncertainties. All three data-taking years are combined.

Data (black points), expected background (solid blue histogram), and expected background plus a VLQ signal for different VLQ masses (colored lines). Left column: 4-jet events, center column: 5-jet events, right column: 6-jet events; upper row: bHbH, middle row: bHbZ,lower row: bZbZ. For the signal, a 100% B -> bH branching fraction is assumed. The hatched regions for the background and background plus signal distributions indicate the systematic uncertainties. All three data-taking years are combined.

Data (black points), expected background (solid blue histogram), and expected background plus a VLQ signal for different VLQ masses (colored lines). Left column: 4-jet events, center column: 5-jet events, right column: 6-jet events; upper row: bHbH, middle row: bHbZ,lower row: bZbZ. For the signal, a 100% B -> bH branching fraction is assumed. The hatched regions for the background and background plus signal distributions indicate the systematic uncertainties. All three data-taking years are combined.

Data (black points), expected background (solid blue histogram), and expected background plus a VLQ signal for different VLQ masses (colored lines). Left column: 4-jet events, center column: 5-jet events, right column: 6-jet events; upper row: bHbH, middle row: bHbZ,lower row: bZbZ. For the signal, a 100% B -> bH branching fraction is assumed. The hatched regions for the background and background plus signal distributions indicate the systematic uncertainties. All three data-taking years are combined.

Data (black points), expected background (solid blue histogram), and expected background plus a VLQ signal for different VLQ masses (colored lines). Left column: 4-jet events, center column: 5-jet events, right column: 6-jet events; upper row: bHbH, middle row: bHbZ,lower row: bZbZ. For the signal, a 100% B -> bH branching fraction is assumed. The hatched regions for the background and background plus signal distributions indicate the systematic uncertainties. All three data-taking years are combined.

Data (black points), expected background (solid blue histogram), and expected background plus a VLQ signal for different VLQ masses (colored lines). Left column: 4-jet events, center column: 5-jet events, right column: 6-jet events; upper row: bHbH, middle row: bHbZ,lower row: bZbZ. For the signal, a 100% B -> bH branching fraction is assumed. The hatched regions for the background and background plus signal distributions indicate the systematic uncertainties. All three data-taking years are combined.

Data (black points), expected background (solid blue histogram), and expected background plus a VLQ signal for different VLQ masses (colored lines). Left column: 4-jet events, center column: 5-jet events, right column: 6-jet events; upper row: bHbH, middle row: bHbZ,lower row: bZbZ. For the signal, a 100% B -> bH branching fraction is assumed. The hatched regions for the background and background plus signal distributions indicate the systematic uncertainties. All three data-taking years are combined.

Expected limits on the VLQ mass at 95% CL as a function of the branching fractions $\mathcal{B}$( B -> bH ) and $\mathcal{B}$( B -> bZ)

Observed limits on the VLQ mass at 95% CL as a function of the branching fractions $\mathcal{B}$( B -> bH ) and $\mathcal{B}$( B -> bZ)

The 95% confidence limit on the cross section for VLQ pair production as a function of VLQ mass for three branching fraction hypotheses: B( B -> bH ) = 100% (upper left), B( B -> bZ ) = 100% (upper right), and and B( B -> bH ) = B( B -> bZ ) = 50% (lower). The solid black line indicates the observed limit and the dashed line indicates the expected limit with 1 sigma (green band) and 2 sigma (yellow band) uncertainties. The theoretical cross section and its uncertainty are shown as the red line and pale red band.

The 95% confidence limit on the cross section for VLQ pair production as a function of VLQ mass for three branching fraction hypotheses: B( B -> bH ) = 100% (upper left), B( B -> bZ ) = 100% (upper right), and and B( B -> bH ) = B( B -> bZ ) = 50% (lower). The solid black line indicates the observed limit and the dashed line indicates the expected limit with 1 sigma (green band) and 2 sigma (yellow band) uncertainties. The theoretical cross section and its uncertainty are shown as the red line and pale red band.

The 95% confidence limit on the cross section for VLQ pair production as a function of VLQ mass for three branching fraction hypotheses: B( B -> bH ) = 100% (upper left), B( B -> bZ ) = 100% (upper right), and and B( B -> bH ) = B( B -> bZ ) = 50% (lower). The solid black line indicates the observed limit and the dashed line indicates the expected limit with 1 sigma (green band) and 2 sigma (yellow band) uncertainties. The theoretical cross section and its uncertainty are shown as the red line and pale red band.

Lower mass requirement for signal regions.

Lower mass requirement for signal regions.

Lower mass requirement for signal regions.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Upper cross-section limit in stau search.

Upper cross-section limit in stau search.

Upper cross-section limit in chargino search.

Upper cross-section limit in chargino search.

Lower mass limit as function of gluino lifetime.

Lower mass limit as function of gluino lifetime.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Candidate reconstruction efficiency for loose selection (LooseEff).

Candidate reconstruction efficiency for loose selection (LooseEff).

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

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

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

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

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

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

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

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

Invariant mass distribution of the selected $\mathrm{B}^+\mathrm{K}^-$ candidates in data

Invariant mass distribution of the selected $\mathrm{B}^0 \mathrm{K}^{0}_{\mathrm{S}}$ candidates in data

The observed signal yields ($N$), natural widths ($\Gamma$), and mass differences from the fits to the $m_{\mathrm{BK}}$ distributions in data, for the two channels: $\mathrm{B}^+\mathrm{K}^-$ and $\mathrm{B}^0 \mathrm{K}^{0}_{\mathrm{S}}$. The uncertainties are statistical only.

The measured ratios of branching fractions

The measured ratios of cross sections times branching fractions

The measured mass differences $M(\mathrm{B}^{(*)0}_{\mathrm{s1,2}})-M^{\mathrm{PDG}}_{\mathrm{B}}-M^{\mathrm{PDG}}_{\mathrm{K}}$

The measured masses of $\mathrm{B}^{*}_{\mathrm{s2}}(5840)^0$ and $\mathrm{B}_{\mathrm{s1}}(5830)^0$ mesons

The measured mass differences between neutral and charged B mesons

The measured $\mathrm{B}^{*}_{\mathrm{s2}}(5840)^0$ natural width

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-I, tanbeta 1, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-I only gluon-gluon fusion is used and the nb=2 category only.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-I, tanbeta 5, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-I only gluon-gluon fusion is used and the nb=2 category only.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-I, tanbeta 10, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-I only gluon-gluon fusion is used and the nb=2 category only.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-I, tanbeta 20, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-I only gluon-gluon fusion is used and the nb=2 category only.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-II, tanbeta 1, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-II both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-II, tanbeta 5, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-II both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-II, tanbeta 10, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-II both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the type-II, tanbeta 20, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For type-II both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the lepton specific, tanbeta 1, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For lepton specific only gluon-gluon fusion is used and the nb=2 category only.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the lepton specific, tanbeta 2, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For lepton specific only gluon-gluon fusion is used and the nb=2 category only.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the lepton specific, tanbeta 3, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For lepton specific only gluon-gluon fusion is used and the nb=2 category only.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the flipped, tanbeta 1, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For flipped both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the flipped, tanbeta 5, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For flipped both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the flipped, tanbeta 10, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For flipped both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The cross section times BR(A->ZH) times BR(H->bb) limits for an A boson in the flipped, tanbeta 20, 2HDM. For each signal point, characterised by the mass pair (mA, mH), two limits are provided, the observed and the expected. The correct width as predicted by this particular parameter choice of the 2HDM is used. For flipped both gluon-gluon fusion and b-associated production are used and the nb=2 and nb>=3 categories are combined.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 130 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 130 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 140 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 140 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 150 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 150 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 160 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 160 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 170 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 170 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 180 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 180 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 190 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 190 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 210 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 210 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 220 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 220 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 230 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 230 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 240 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 240 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 250 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 250 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 260 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 260 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 270 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 270 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 280 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 280 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 290 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 290 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 310 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 310 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 320 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 320 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 330 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 330 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 340 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 340 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 350 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 350 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 360 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 360 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 370 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 370 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 380 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 380 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 390 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 390 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 400 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 400 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 410 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 410 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 420 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 420 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 430 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 430 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 440 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 440 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 450 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 450 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 460 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 460 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 470 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 470 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 480 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 480 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 490 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 490 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 510 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 510 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 520 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 520 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 530 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 530 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 540 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 540 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 550 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 550 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 560 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 560 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 570 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 570 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 580 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 580 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 590 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 590 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 600 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 600 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 610 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 610 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 620 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 620 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 630 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 630 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 640 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 640 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 650 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 650 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 660 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 660 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 670 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 670 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 680 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 680 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 690 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 690 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 700 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 700 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 200 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 200 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 300 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 300 GeV for the nb >= 3 (3 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 500 GeV for the nb = 2 (2 tag) category.

The mass distribution of the llbb system used in the fit to derive the limits for the mbb window centered at 500 GeV for the nb >= 3 (3 tag) category.

Fractions of selected events for several signal MC samples with a mass difference $\Delta m = 100$ GeV, illustrating how $\mathcal{A}\times\varepsilon$ varies with the model parameters.

Two-dimensional distribution of $m_{\mathrm{DV}}$ and track multiplicity for DVs in data events and events of a $R$-hadron signal sample with $m_{\tilde{g}} = 1.4$ TeV, $m_{\tilde{\chi}_{1}^{0}} = 100$ GeV and $\tau_{\tilde{g}} = 1$ ns that satisfy all signal region event selection criteria.

Two-dimensional distribution of $m_{\mathrm{DV}}$ and track multiplicity for DVs in data events and events of a $R$-hadron signal sample with $m_{\tilde{g}} = 1.4$ TeV, $m_{\tilde{\chi}_{1}^{0}} = 1.32$ TeV and $\tau_{\tilde{g}} = 1$ ns that satisfy all signal region event selection criteria.

Observed cross section upper 95% CL limits as a function of $m_{\tilde{g}}$ and $\tau$ for $m_{\tilde{\chi}_{1}^{0}}=100$ GeV. For the mass limits see the entry of Figure 8b.

Upper 95% CL limits on the signal cross section for $m_{\tilde{g}}=1.4$ TeV and fixed $m_{\tilde{\chi}_{1}^{0}}=100$ GeV as a function of lifetime $\tau$.

Vertex reconstruction efficiency as a function of radial position $R$ with and without the special LRT processing for one $R$-hadron signal sample with $m_{\tilde{g}} = 1.2$ TeV, $m_{\tilde{\chi}_{1}^{0}} = 100$ GeV and $\tau_{\tilde{g}} = 1$ ns. The efficiency is defined as the probability for a true LLP decay to be matched with a reconstructed DV fulfilling the vertex preselection criteria in events with a reconstructed primary vertex.

Upper 95% CL limits on the signal cross section for $m_{\tilde{g}}=2.0$ TeV and fixed $m_{\tilde{\chi}_{1}^{0}}=100$ GeV as a function of lifetime $\tau$.

Vertex reconstruction efficiency as a function of radial position $R$ for two $R$-hadron signal samples with $m_{\tilde{g}} = 1.2$ TeV, $\tau_{\tilde{g}} = 1$ ns and different neutralino masses. The efficiency is defined as the probability for a true LLP decay to be matched with a reconstructed DV fulfilling the vertex preselection criteria in events with a reconstructed primary vertex.

Lower 95% CL limits on $m_{\tilde{g}}$ for fixed $m_{\tilde{\chi}_{1}^{0}}=100$ GeV as a function of lifetime $\tau$.

Fractions of selected events for several signal MC samples with a gluino lifetime $\tau = 1$ ns, illustrating how $\mathcal{A}\times\varepsilon$ varies with the model parameters.

Upper 95% CL limits on the signal cross section for $m_{\tilde{g}}=1.4$ TeV and fixed $\Delta m=100$ GeV as a function of lifetime $\tau$.

Fractions of selected events for several signal MC samples with a mass difference $\Delta m = 100$ GeV, illustrating how $\mathcal{A}\times\varepsilon$ varies with the model parameters.

Upper 95% CL limits on the signal cross section for $m_{\tilde{g}}=2.0$ TeV and fixed $\Delta m=100$ GeV as a function of lifetime $\tau$.

Two-dimensional distribution of $m_{\mathrm{DV}}$ and track multiplicity for DVs in data events and events of a $R$-hadron signal sample with $m_{\tilde{g}} = 1.4$ TeV, $m_{\tilde{\chi}_{1}^{0}} = 100$ GeV and $\tau_{\tilde{g}} = 1$ ns that satisfy all signal region event selection criteria.

Lower 95% CL limit on $m_{\tilde{g}}$ for fixed $\Delta m=100$ GeV as a function of lifetime $\tau$.

Two-dimensional distribution of $m_{\mathrm{DV}}$ and track multiplicity for DVs in data events and events of a $R$-hadron signal sample with $m_{\tilde{g}} = 1.4$ TeV, $m_{\tilde{\chi}_{1}^{0}} = 1.32$ TeV and $\tau_{\tilde{g}} = 1$ ns that satisfy all signal region event selection criteria.

Upper 95% CL limits on the signal cross section for $m_{\tilde{g}}=1.4$ TeV and fixed $\tau=1$ ns as a function of $m_{\tilde{\chi}_{1}^{0}}$.

Upper 95% CL limits on the signal cross section for $m_{\tilde{g}}=1.4$ TeV and fixed $\Delta m=100$ GeV as a function of lifetime $\tau$.

Upper 95% CL limits on the signal cross section for $m_{\tilde{g}}=2.0$ TeV and fixed $\tau=1$ ns as a function of $m_{\tilde{\chi}_{1}^{0}}$.

Upper 95% CL limits on the signal cross section for $m_{\tilde{g}}=2.0$ TeV and fixed $\Delta m=100$ GeV as a function of lifetime $\tau$.

Observed 95% CL limit as a function of $m_{\tilde{g}}$ and $m_{\tilde{\chi}_{1}^{0}}$ for fixed $\tau=1$ ns.

Lower 95% CL limit on $m_{\tilde{g}}$ for fixed $\Delta m=100$ GeV as a function of lifetime $\tau$.

Two-dimensional distributions of $x$-$y$ positions of vertices observed in the data passing the vertex pre-selection and satisfying all signal region event-level requirements.

Two-dimensional distributions of $x$-$y$ positions of vertices observed in the data passing the vertex pre-selection and satisfying all signal region event-level requirements.

Distribution of the mass $m_{\mathrm{DV}}$ for vertices in data events and in events of five $R$-hadron signal samples with $m_{\tilde{g}} = 1.2$ TeV, $m_{\tilde{\chi}_{1}^{0}} = 100$ GeV and different $\tau_{\tilde{g}}$ that satisfy the signal region event requirements. All DV selections are applied except for the $m_{\mathrm{DV}}$ and track multiplicity requirements.

Distribution of the mass $m_{\mathrm{DV}}$ for vertices in data events and in events of five $R$-hadron signal samples with $m_{\tilde{g}} = 1.2$ TeV, $m_{\tilde{\chi}_{1}^{0}} = 100$ GeV and different $\tau_{\tilde{g}}$ that satisfy the signal region event requirements. All DV selections are applied except for the $m_{\mathrm{DV}}$ and track multiplicity requirements.

Distribution of the track multiplicity $n_{\mathrm{Tracks}}$ for vertices in data events and events of five $R$-hadron signal samples with $m_{\tilde{g}} = 1.2$ TeV, $m_{\tilde{\chi}_{1}^{0}} = 100$ GeV and and different $\tau_{\tilde{g}}$ that satisfy the signal region event requirements. All DV selections are applied except for the $m_{\mathrm{DV}}$ and track multiplicity requirements. The track multiplicity distribution requires vertices to have $m_{\mathrm{DV}}>3$ GeV.

Distribution of the track multiplicity $n_{\mathrm{Tracks}}$ for vertices in data events and events of five $R$-hadron signal samples with $m_{\tilde{g}} = 1.2$ TeV, $m_{\tilde{\chi}_{1}^{0}} = 100$ GeV and and different $\tau_{\tilde{g}}$ that satisfy the signal region event requirements. All DV selections are applied except for the $m_{\mathrm{DV}}$ and track multiplicity requirements. The track multiplicity distribution requires vertices to have $m_{\mathrm{DV}}>3$ GeV.

Observed cross section upper 95% CL limits as a function of $m_{\tilde{g}}$ and $\tau$ for $m_{\tilde{\chi}_{1}^{0}}=100$ GeV. For the mass limits see the entry of Figure 8b.

Observed cross section upper 95% CL limits as a function of $m_{\tilde{g}}$ and $\tau$ for $\Delta m=100$ GeV. For the mass limits see the entry of Figure 9b.

Observed cross section upper 95% CL limits as a function of $m_{\tilde{g}}$ and $\tau$ for $\Delta m=100$ GeV. For the mass limits see the entry of Figure 9b.

Observed cross section upper 95% CL limits as a function of $m_{\tilde{\chi}_{1}^{0}}$ and $m_{\tilde{g}}$ for $\tau = 1$ ns. For the mass limits see the entry of Figure 10b.

Observed cross section upper 95% CL limits as a function of $m_{\tilde{\chi}_{1}^{0}}$ and $m_{\tilde{g}}$ for $\tau = 1$ ns. For the mass limits see the entry of Figure 10b.

Parameterized event selection efficiencies as a function of truth MET for events which have all truth decay vertices occurring before the start of the ATLAS calorimeter. Event-level efficiencies are evaluated for events that have truth MET $> 200$ GeV, pass the trackless jet requirement, and have at least one displaced truth decay within the fiducial volume. To satisfy the event-level efficiency, events must then pass the full event selection.

Parameterized event selection efficiencies as a function of truth MET for events which have all truth decay vertices occurring before the start of the ATLAS calorimeter. Event-level efficiencies are evaluated for events that have truth MET $> 200$ GeV, pass the trackless jet requirement, and have at least one displaced truth decay within the fiducial volume. To satisfy the event-level efficiency, events must then pass the full event selection.

Parameterized event selection efficiencies as a function of truth MET for events which have the furthest truth decay occurring inside the calorimeter. Event-level efficiencies are evaluated for events that have truth MET $> 200$ GeV, pass the trackless jet requirement, and have at least one displaced truth decay within the fiducial volume. To satisfy the event-level efficiency, events must then pass the full event selection.

Parameterized event selection efficiencies as a function of truth MET for events which have the furthest truth decay occurring inside the calorimeter. Event-level efficiencies are evaluated for events that have truth MET $> 200$ GeV, pass the trackless jet requirement, and have at least one displaced truth decay within the fiducial volume. To satisfy the event-level efficiency, events must then pass the full event selection.

Parameterized event selection efficiencies as a function of truth MET for events which have the furthest truth decay occurring after the end of the ATLAS calorimeter. Event-level efficiencies are evaluated for events that have truth MET $> 200$ GeV, pass the trackless jet requirement, and have at least one displaced truth decay within the fiducial volume. To satisfy the event-level efficiency, events must then pass the full event selection.

Parameterized event selection efficiencies as a function of truth MET for events which have the furthest truth decay occurring after the end of the ATLAS calorimeter. Event-level efficiencies are evaluated for events that have truth MET $> 200$ GeV, pass the trackless jet requirement, and have at least one displaced truth decay within the fiducial volume. To satisfy the event-level efficiency, events must then pass the full event selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $4$ mm $< R_{\mathrm{decay}} < 22$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $4$ mm $< R_{\mathrm{decay}} < 22$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $22$ mm $< R_{\mathrm{decay}} < 25$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $22$ mm $< R_{\mathrm{decay}} < 25$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $25$ mm $< R_{\mathrm{decay}} < 29$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $25$ mm $< R_{\mathrm{decay}} < 29$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Upper 95% CL limits on the signal cross section for $m_{\tilde{g}}=1.4$ TeV and fixed $m_{\tilde{\chi}_{1}^{0}}=100$ GeV as a function of lifetime $\tau$.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $29$ mm $< R_{\mathrm{decay}} < 38$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $29$ mm $< R_{\mathrm{decay}} < 38$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Upper 95% CL limits on the signal cross section for $m_{\tilde{g}}=2.0$ TeV and fixed $m_{\tilde{\chi}_{1}^{0}}=100$ GeV as a function of lifetime $\tau$.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $38$ mm $< R_{\mathrm{decay}} < 46$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $38$ mm $< R_{\mathrm{decay}} < 46$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Lower 95% CL limits on $m_{\tilde{g}}$ for fixed $m_{\tilde{\chi}_{1}^{0}}=100$ GeV as a function of lifetime $\tau$.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $46$ mm $< R_{\mathrm{decay}} < 73$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $46$ mm $< R_{\mathrm{decay}} < 73$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $73$ mm $< R_{\mathrm{decay}} < 84$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $73$ mm $< R_{\mathrm{decay}} < 84$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $84$ mm $< R_{\mathrm{decay}} < 111$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $84$ mm $< R_{\mathrm{decay}} < 111$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $111$ mm $< R_{\mathrm{decay}} < 120$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $111$ mm $< R_{\mathrm{decay}} < 120$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Upper 95% CL limits on the signal cross section for $m_{\tilde{g}}=1.4$ TeV and fixed $\tau=1$ ns as a function of $m_{\tilde{\chi}_{1}^{0}}$.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $120$ mm $< R_{\mathrm{decay}} < 145$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $120$ mm $< R_{\mathrm{decay}} < 145$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Upper 95% CL limits on the signal cross section for $m_{\tilde{g}}=2.0$ TeV and fixed $\tau=1$ ns as a function of $m_{\tilde{\chi}_{1}^{0}}$.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $145$ mm $< R_{\mathrm{decay}} < 180$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $145$ mm $< R_{\mathrm{decay}} < 180$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Observed 95% CL limit as a function of $m_{\tilde{g}}$ and $m_{\tilde{\chi}_{1}^{0}}$ for fixed $\tau=1$ ns.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $180$ mm $< R_{\mathrm{decay}} < 300$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Parameterized vertex level efficiencies as a function of number of particles associated to a truth decay vertex, and the vertex invariant mass for truth decays with $180$ mm $< R_{\mathrm{decay}} < 300$ mm. Selected particles are required to have nonzero electric charge, $p_{T}(|Q|=1) > 1$ GeV, and $d_0 > 2$ mm. The per-vertex efficiency is evaluated only for truth vertices that have at least 5 associated tracks, an invariant mass $> 10$ GeV, and are in the region $4$ mm $< R_{\mathrm{decay}} < 300$ mm, and $|Z_{\mathrm{decay}}| < 300$ mm. A truth vertex satisfies the vertex level efficiency if it can be matched to a reconstructed DV which passes the final vertex selection.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA350 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA450 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA450 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA550 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA550 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRB signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRB signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRC signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRC signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L- best expected signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L- best expected signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA300-2j signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA300-2j signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA450 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA450 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA600 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA600 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA750 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA750 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRB signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRB signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L- best expected signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L- best expected signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA350 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA350 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA450 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA450 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA550 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA550 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRB signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRB signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRC signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRC signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L- best expected signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L- best expected signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA300-2j signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA300-2j signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA450 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA450 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA600 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA600 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA750 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA750 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRB signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRB signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L- best expected signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L- best expected signal region.

b1L signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino.

b1L signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino.

b0L signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino.

b0L signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino.

combined signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino.

combined signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino.

b0L signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino.

b0L signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino.

Expected exclusion limit for b0L-SRA350 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRA350 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA350 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA350 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRA350 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b0L-SRA350 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b0L-SRA350 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA350 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRA450 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRA450 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA450 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA450 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b0L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b0L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b0L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b0L-SRA550 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRA550 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA550 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA550 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRB for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRB for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRB for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRB for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b0L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b0L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b0L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b0L-SRC for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRC for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRC for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRC for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for best b0L SR for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for best b0L SR for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for best b0L SR for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for best b0L SR for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for best b0L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for best b0L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for best b0L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for best b0L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA300-2j for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA300-2j for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA300-2j for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA300-2j for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA600 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA600 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA600 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA600 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA750 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA750 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA750 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA750 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for best b1L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for best b1L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for best b1L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for best b1L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for A-LowMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for A-LowMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for A-LowMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for A-LowMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for A-HighMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for A-HighMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for A-HighMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for A-HighMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for B combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for B combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for B combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for B combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for best combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for best combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for best combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for best combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

$m_{\mathrm{CT}}$ distribution in b0L-SRA. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$m_{\mathrm{CT}}$ distribution in b0L-SRA. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{min[m_{T}(jet_{1-4}, E_{T}^{miss})]}$ distribution in b0L-SRB. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{min[m_{T}(jet_{1-4}, E_{T}^{miss})]}$ distribution in b0L-SRB. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

${\cal A}$ distribution in b0L-SRC. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

${\cal A}$ distribution in b0L-SRC. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{m_{bb}}$ distribution in b1L-SRA300-2j. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{m_{bb}}$ distribution in b1L-SRA300-2j. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{m_{eff}}$ distribution in b1L-SRA. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{m_{eff}}$ distribution in b1L-SRA. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{m_{T}}$ distribution in b1L-SRB. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{m_{T}}$ distribution in b1L-SRB. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

Cross section excluded at 95% CL for best b0L SR as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for best b0L SR as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRA350 as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRA350 as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRA450 as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRA450 as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRA550 as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRA550 as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRB as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRB as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRC as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRC as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for best b0L SR as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for best b0L SR as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b0L-SRA350 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b0L-SRA350 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b0L-SRA450 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b0L-SRA450 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b0L-SRB as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b0L-SRB as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for best b1L SR as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for best b1L SR as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA300-2j as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA300-2j as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA450 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA450 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA600 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA600 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA750 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA750 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRB as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRB as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for best combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for best combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for A-LowMass combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for A-LowMass combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for A-HighMass combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for A-HighMass combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for B combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for B combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cutflow table in b0L-SRA for a pair produced bottom squark of 1 TeV decaying into a 1 GeV neutralino in a symmetric decay scenario.

Cutflow table in b0L-SRA for a pair produced bottom squark of 1 TeV decaying into a 1 GeV neutralino in a symmetric decay scenario.

Cutflow table in b0L-SRB for a pair produced bottom squark of 700 GeV decaying into a 450 GeV neutralino in a symmetric decay scenario.

Cutflow table in b0L-SRB for a pair produced bottom squark of 700 GeV decaying into a 450 GeV neutralino in a symmetric decay scenario.

Cutflow table in b0L-SRC for a pair produced bottom squark of 450 GeV decaying into a 430 GeV neutralino in a symmetric decay scenario.

Cutflow table in b0L-SRC for a pair produced bottom squark of 450 GeV decaying into a 430 GeV neutralino in a symmetric decay scenario.

Cutflow table in b1L-SRA for a pair produced bottom squark of 700 GeV decaying into a 300 GeV neutralino in a mixed decay scenario.

Cutflow table in b1L-SRA for a pair produced bottom squark of 700 GeV decaying into a 300 GeV neutralino in a mixed decay scenario.

Cutflow table in b1L-SRA300-2j for a pair produced bottom squark of 700 GeV decaying into a 300 GeV neutralino in a mixed decay scenario.

Cutflow table in b1L-SRA300-2j for a pair produced bottom squark of 700 GeV decaying into a 300 GeV neutralino in a mixed decay scenario.

Cutflow table in b0L-SRA for a pair produced bottom squark of 700 GeV decaying into a 300 GeV neutralino in a mixed decay scenario.

Cutflow table in b0L-SRA for a pair produced bottom squark of 700 GeV decaying into a 300 GeV neutralino in a mixed decay scenario.

The expected 95% CL exclusion contour (-1$\sigma$) for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.25, $g_{\chi}$ = 1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.25, $g_{\chi}$ = 1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The observed 95% CL exclusion contour for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.1 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour (+1$\sigma$) for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.1 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour (-1$\sigma$) for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.1 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.1 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The observed 95% CL exclusion contour for a simplified model of dark-matter production involving a vector operator with couplings $g_{q}$ = 0.25, $g_{\chi}$ =1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour ($+1\sigma$) for a simplified model of dark-matter production involving a vector operator with couplings $g_{q}$ = 0.25, $g_{\chi}$ =1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour ($-1\sigma$) for a simplified model of dark-matter production involving a vector operator with couplings $g_{q}$ = 0.25, $g_{\chi}$ =1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour for a simplified model of dark-matter production involving a vector operator with couplings $g_{q}$ = 0.25, $g_{\chi}$ =1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The observed 95% CL exclusion contour for a simplified model of dark-matter production involving for a vector operator with couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.01 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour ($+1\sigma$) for a simplified model of dark-matter production involving for a vector operator with couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.01 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour ($-1\sigma$) for a simplified model of dark-matter production involving for a vector operator with couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.01 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour for a simplified model of dark-matter production involving for a vector operator with couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.01 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The 90% CL exclusion limit on the $\chi$-proton scattering cross section in a simplifed model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.25, $g_{\chi}$ = 1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$.

The 90% CL exclusion limit on the $\chi$-nucleon scattering cross section in a simplifed model of dark-matter production involving a vector operator, Dirac DM and couplings $g_{q}$ = 0.25, $g_{\chi}$ = 1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$.

The observed and expected 95% CL limits on M* for a dimension-7 operator EFT model with a contact interaction of type $\gamma\gamma\chi\chi$ as a function of dark-matter mass $m_{\chi}$.

The observed and expected limit at 95% CL on the production cross section of a $Z\gamma$ resonance as a function of its mass.

The observed 95% CL upper limits on signal strength $\mu$, the ratio of the experimental limit to the predicted signal cross section, for a simplified model of dark matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.25 and $g_{\chi}$ = 1 as a function of the DM and the mediator particle masses. The bound on $\mu$ only applies for choices of couplings that yield the same kinematic distributions as the benchmark model.

Acceptance, in %, for a simplified model of dark matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$= 0.25 and $g_{\chi}$ = 1 for various $m_{\chi}$ and $m_{\textrm{med}}$ values. It is constant as a function of $m_{\chi}$ for a fixed $m_{\textrm{med}}$ in the region $m_{\textrm{med}}>2m_{\chi}$.

Fiducial reconstruction efficiencies in the three inclusive signal regions for a simplified model of dark matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$= 0.25 and $g_{\chi}$ = 1 for various $m_{\chi}$ and $m_{\textrm{med}}$ values. It is constant as a function of $m_{\chi}$ for a fixed $m_{\textrm{med}}$ in the region $m_{\textrm{med}}>2m_{\chi}$.

Distribution of missing transverse momentum in the data and for the background in the PhJetCR. The total background expectation is normali zed to the post-fit result. The errors include both statistical and systematic uncertainties determined by a bin-by-bin fit.

Distribution of missing transverse momentum in the signal region for data and for the background predicted from the fit in the CRs. Overflows are included in the final bin. The errors include both statistical and systematic components. The expected yield of events from the simplified model with $m_\chi$ = 150 GeV and $m_{med}$ = 500 GeV is also shown.

Distribution of photon transverse momentum in the signal region for data and for the background predicted from the fit in the CRs. Overflows are included in the final bin. The errors include both statistical and systematic components. The expected yield of events from the simplified model with $m_\chi$ = 150 GeV and $m_{med}$ = 500 GeV is also shown.

The observed and 95% CL exclusion limit for a simplified model of dark matter production involving an axial-vector operator, Dirac DM and couplings $g_q$ = 0.25 and $g_\chi$ = 1 as a function of the dark matter mass $m_\chi$ and the axial-mediator mass $m_{med}$.

The observed 90% CL exclusion limit on the DM-proton scattering cross section in a simplifed model of dark matter production involving an axial-vector operator, Dirac DM and couplings $g_q$ = 0.25 and $g_\chi$ = 1 as a function of the dark matter mass $m_\chi$.

The observed 95% CL lower limits on $M_\ast$ for a dimension-7 operator EFT model with a contact interaction of type $\gamma\gamma\chi\chi$ as a function of dark matter mass $m_\chi$.

The observed 95% CL lower limits on the mass scale $M_D$ in the ADD models of large extra dimensions, for several values of the number of extra dimensions.

Observed event yields and estimated backgrounds in the low- and high-mass control regions. The uncertainty in the background yield is the sum in quadrature of the statistical and systematic uncertainties.

Summary of the relative systematic uncertainties in heavy Majorana neutrino signal yields and the background from prompt same-sign leptons, both estimated from simulation. The relative systematic uncertainties assigned to the data-driven backgrounds for the misidentified lepton background and mismeasured charge background are also shown. The uncertainties are given for the low-mass selections.

Summary of the relative systematic uncertainties in heavy Majorana neutrino signal yields and the background from prompt same-sign leptons, both estimated from simulation. The relative systematic uncertainties assigned to the data-driven backgrounds for the misidentified lepton background and mismeasured charge background are also shown. The uncertainties are given for the high-mass selections.

Summary of contributions to the systematic uncertainty related to the prompt same-sign leptons background, misidentified lepton background, and mismeasured charge background on the total background uncertainty for the case of $m_{\rm N}$ = 100 and 500 GeV.

Observed event yields and estimated backgrounds after the application of all selection, except for the final optimization. The background predictions from prompt same-sign leptons (Prompt bkgd.), misidentified leptons (Misid. bkgd.), mismeasured charge (Charge mismeas. bkgd.) and the total background (Total bkgd.) are shown together withthe number of events observed in data. The uncertainties shown are the statistical and systematic components, respectively.

Dielectron channel results after final optimization. The background predictions from prompt same-sign leptons, misidentified leptons, and mismeasured charge are shown along with the total background estimate and the number of events observed in data. The uncertainties shown are the statistical and systematic components, respectively.

Electron-muon channel results after final optimization. The background predictions from prompt same-sign leptons and misidentified leptons are shown along with the total background estimate and the number of events observed in data. The uncertainties shown are the statistical and systematic components, respectively.

The stransverse mass mT2 in the W+jets validation region VR2 for the two-tau MVA analysis.

The BDT response prior to applying the SR BDT requirement for the two-tau MVA analysis.

The missing transverse energy ETmiss in the two-tau MVA signal region.

The effective mass meff in the two-tau MVA signal region.

The stransverse mass mT2 in the two-tau MVA signal region.

The ratio R2 in the signal region SR2l-1a SF from the two-lepton, opposite-sign analysis, prior to the requirement on this variable.

The ratio R2 in the signal region SR2l-1a DF from the two-lepton, opposite-sign analysis, prior to the requirement on this variable.

The super razor quantity MdR in the signal region SR2l-1b SF from the two-lepton, opposite-sign analysis, prior to the requirement on this variable.

The super razor quantity MdR in the signal region SR2l-1b DF from the two-lepton, opposite-sign analysis, prior to the requirement on this variable.

The separation in phi between the leading jet and the missing transverse momentum dPhi(jet 1,ETmiss) in the ISR validation region of the two-lepton, same-sign MVA analysis.

The transverse mass using the leading lepton mTlep1 in the ISR validation region of the two-lepton, same-sign MVA analysis.

The transverse mass using the second leading lepton mTlep2 in the no-ISR validation region of the two-lepton, same-sign MVA analysis.

The scalar sum of the pT of the leptons and jets, HT in the no-ISR validation region of the two-lepton, same-sign MVA analysis.

The three-lepton invariant mass mlll in the validation region VR3l-0a from the three-lepton analysis.

The missing transverse energy ETmiss in the validation region VR3l-0b from the three-lepton analysis.

The transverse momentum of the leading jet pTjet1 in the validation region VR3l-1a from the three-lepton analysis.

The missing transverse energy ETmiss in the validation region VR3l-1b from the three-lepton analysis.

The missing transverse energy ETmiss in the signal region SR3l-0a from the three-lepton analysis.

The three-lepton invariant mass mlll in the signal region SR3l-0b from the three-lepton analysis.

The separation in phi between the leading jet and the missing transverse momentum dPhi(jet 1,ETmiss) in the signal region SR3l-1a from the three-lepton analysis.

The transverse momentum of the leading jet pTjet1 in the signal region SR3l-1b from the three-lepton analysis.

The transverse momentum of the second leading jet pTjet2 in the VV validation region from the same-sign two-lepton VBF analysis.

The invariant mass of the two leading jets mjj in the VV validation region from the same-sign two-lepton VBF analysis.

The transverse momentum of the second leading lepton pTlep2 in the Fakes validation region from the same-sign two-lepton VBF analysis.

The missing transverse momentum ETmiss in the Fakes validation region from the same-sign two-lepton VBF analysis.

The invariant mass of the two leading jets mjj in the same-sign, two lepton VBF signal region.

The separation in eta between the two leading jets dEtajj in the same-sign, two lepton VBF signal region.

The missing transverse energy ETmiss in the same-sign, two lepton VBF signal region.

The transverse momentum of the second leading lepton pTlep2 in the same-sign, two lepton VBF signal region.

The 95% CL exclusion limits (expected and observed) on the cross-section for production of left- and right-handed stau pairs for various LSP masses.

The 95% CL exclusion limits (expected and observed) on the cross-section for CHARGINO1+ CHARGINO1- production with SLEPTONL-mediated decays, where the LSP is massless and the intermediate slepton mass is set to 5%, 25%, 50%, 75%, and 95% of the CHARGINO1+- mass (x).

The expected 95% CL exclusion limits for CHARGINO1+ CHARGINO1- production with SLEPTONL-mediated decays as a function of the CHARGINO1+- and NEUTRALINO1 masses.

The observed 95% CL exclusion limits for CHARGINO1+ CHARGINO1- production with SLEPTONL-mediated decays as a function of the CHARGINO1+- and NEUTRALINO1 masses.

The expected and observed 95% CL exclusion limits on the cross-section for VBF CHARGINO1+-CHARGINO1+- production, as a function of the CHARGINO1-NEUTRALINO1 mass difference, for a CHARGINO1+- of 110 GeV.

The 95% CL exclusion limits (expected and observed) on the cross-section for NEUTRALINO2 NEUTRALINO3 production with SLEPTONR-mediated decays, where the LSP is massless and the intermediate slepton mass is set to 5%, 25%, 50%, 75%, and 95% of the NEUTRALINO2 mass (x).

The expected 95% CL exclusion limits for NEUTRALINO2 NEUTRALINO3 production with SLEPTONR-mediated decays as a function of the NEUTRALINO2 and NEUTRALINO1 masses.

The observed 95% CL exclusion limits for NEUTRALINO2 NEUTRALINO3 production with SLEPTONR-mediated decays as a function of the NEUTRALINO2 and NEUTRALINO1 masses.

The 95% CL exclusion limits (expected and observed) on the cross-section for CHARGINO1+- NEUTRALINO2 production with SLEPTONL-mediated decays, where the LSP is massless and the intermediate slepton mass is set to 5%, 25%, 50%, 75%, and 95% of the CHARGINO1+- mass (x).

The expected 95% CL exclusion limits for CHARGINO1+-NEUTRALINO2 production with SLEPTONL-mediated decays (x=0.50) as a function of the NEUTRALINO2 and NEUTRALINO1 masses.

The observed 95% CL exclusion limits for CHARGINO1+-NEUTRALINO2 production with SLEPTONL-mediated decays (x=0.50) as a function of the NEUTRALINO2 and NEUTRALINO1 masses.

The expected 95% CL exclusion limits for CHARGINO1+-NEUTRALINO2 production with SLEPTONL-mediated decays (x=0.95) as a function of the NEUTRALINO2 and NEUTRALINO1 masses.

The observed 95% CL exclusion limits for CHARGINO1+-NEUTRALINO2 production with SLEPTONL-mediated decays (x=0.95) as a function of the NEUTRALINO2 and NEUTRALINO1 masses.

The expected 95% CL exclusion limits for CHARGINO1+-NEUTRALINO2 production with STAU-mediated decays as a function of the NEUTRALINO2 and NEUTRALINO1 masses.

The observed 95% CL exclusion limits for CHARGINO1+-NEUTRALINO2 production with STAU-mediated decays as a function of the NEUTRALINO2 and NEUTRALINO1 masses.

The expected 95% CL exclusion limits in the pMSSM scenario.

The observed 95% CL exclusion limits in the pMSSM scenario.

The expected 95% CL exclusion limits in the NUHM2 scenario.

The observed 95% CL exclusion limits in the NUHM2 scenario.

The expected 95% CL exclusion limits in the GMSB scenario.

The observed 95% CL exclusion limits in the GMSB scenario.

The best expected signal region in the direct STAUL STAUL SUSY model, where "1" indicates the two-tau MVA signal region is used, and "2" indicates the previously published signal regions are used.

The number of generated events in the direct STAUL STAUL SUSY model.

The cross-section in the direct STAUL STAUL SUSY model.

The experimental uncertainty in the two-tau MVA signal region in the direct STAUL STAUL SUSY model.

The expected CLs in the two-tau MVA signal region in the direct STAUL STAUL SUSY model.

The observed CLs in the two-tau MVA signal region in the direct STAUL STAUL SUSY model.

The 95% CL upper limit on the SUSY cross-section in the CHARGINO1+CHARGINO1- SUSY model using the opposite-sign, two-lepton analysis.

The best expected signal region in the CHARGINO1+CHARGINO1- SUSY model using the opposite-sign, two-lepton analysis, where "1" denotes SR2l-1a and "2" denotes SR2l-1b.

The number of generated events in the CHARGINO1+CHARGINO1- SUSY model.

The total cross-section in the CHARGINO1+CHARGINO1- SUSY model.

The acceptance for the opposite-sign, two-lepton signal region SR2l-1b in the CHARGINO1+CHARGINO1- SUSY model.

The efficiency for the opposite-sign, two-lepton signal region SR2l-1b in the CHARGINO1+CHARGINO1- SUSY model.

The experimental uncertainty for the opposite-sign, two-lepton signal region SR2l-1b in the CHARGINO1+CHARGINO1- SUSY model.

The expected CLs for the opposite-sign, two-lepton signal region SR2l-1b in the CHARGINO1+CHARGINO1- SUSY model.

The observed CLs for the opposite-sign, two-lepton signal region SR2l-1b in the CHARGINO1+CHARGINO1- SUSY model.

The number of generated events in the VBF CHARGINO1+- CHARGINO1+- VBF SUSY model, where m(CHARGINO1+-)=m(NEUTRALINO2) and x=0.5.

The total cross-section in the VBF CHARGINO1+- CHARGINO1+- SUSY model, where m(CHARGINO1+-)=m(NEUTRALINO2) and x=0.5.

The acceptance for the same-sign, two-lepton VBF signal region in the VBF CHARGINO1+- CHARGINO1+- SUSY model, where m(CHARGINO1+-)=m(NEUTRALINO2) and x=0.5.

The efficiency for the same-sign, two-lepton VBF signal region in the VBF CHARGINO1+- CHARGINO1+- SUSY model, where m(CHARGINO1+-)=m(NEUTRALINO2) and x=0.5.

The experimental uncertainty for the same-sign, two-lepton VBF signal region in the VBF CHARGINO1+- CHARGINO1+- SUSY model, where m(CHARGINO1+-)=m(NEUTRALINO2) and x=0.5.

The expected CLs for the same-sign, two-lepton VBF signal region in the VBF CHARGINO1+- CHARGINO1+- SUSY model, where m(CHARGINO1+-)=m(NEUTRALINO2) and x=0.5.

The observed CLs for the same-sign, two-lepton VBF signal region in the VBF CHARGINO1+- CHARGINO1+- SUSY model, where m(CHARGINO1+-)=m(NEUTRALINO2) and x=0.5.

The best expected signal region in the same-sign, two-lepton MVA analysis for the CHARGINO1+-NEUTRALINO2 SUSY model (x=0.5), where "1" indicates SR dM20, "2" indicates SR dM35, "3" indicates SR dM65, and "4" indicates SR dM100.

The number of generated events in the CHARGINO1+-NEUTRALINO2 SUSY model (x=0.5).

The total cross-section in the CHARGINO1+-NEUTRALINO2 SUSY model (x=0.5).

The experimental uncertainty in the same-sign, two-lepton MVA signal region SR dM20 for the CHARGINO1+-NEUTRALINO2 SUSY model (x=0.5).

The expected CLs in the same-sign, two-lepton MVA signal region SR dM20 for the CHARGINO1+-NEUTRALINO2 SUSY model (x=0.5).

The observed CLs in the same-sign, two-lepton MVA signal region SR dM20 for the CHARGINO1+-NEUTRALINO2 SUSY model (x=0.5).

The acceptance in the three-lepton signal region SR3l-1b for the CHARGINO1+-NEUTRALINO2 SUSY model (x=0.5).

The efficiency in the three-lepton signal region SR3l-1b for the CHARGINO1+-NEUTRALINO2 SUSY model (x=0.5).

The experimental uncertainty in the three-lepton signal region SR3l-1b for the CHARGINO1+-NEUTRALINO2 SUSY model (x=0.5).

The expected CLs in the three-lepton signal region SR3l-1b for the CHARGINO1+-NEUTRALINO2 SUSY model (x=0.5).

The observed CLs in the three-lepton signal region SR3l-1b for the CHARGINO1+-NEUTRALINO2 SUSY model (x=0.5).

The best expected signal region in the same-sign, two-lepton MVA analysis for the CHARGINO1+-NEUTRALINO2 SUSY model (x=0.95), where "1" indicates SR dM20, "2" indicates SR dM35, "3" indicates SR dM65, and "4" indicates SR dM100.

The 95% CL upper limit on the SUSY cross-section in the CHARGINO1+-NEUTRALINO2 SUSY model with STAU-mediated decays.

The 95% CL upper limit on the SUSY cross-section in the NEUTRALINO2 NEUTRALINO3 SUSY model.