Showing 10 of 1326 results
The coupling properties of the Higgs boson are studied in the four-lepton decay channel using 36.1 fb$^{-1}$ of $pp$ collision data from the LHC at a centre-of-mass energy of 13 TeV collected by the ATLAS detector. Cross sections are measured for the four key production modes in several exclusive regions of the Higgs boson production phase space and are interpreted in terms of coupling modifiers. The inclusive cross section times branching ratio for $H \rightarrow ZZ^*$ decay and for a Higgs boson absolute rapidity below 2.5 is measured to be $1.73^{+0.24}_{-0.23}$(stat.)$^{+0.10}_{-0.08}$(exp.)$\pm 0.04$(th.) pb compared to the Standard Model prediction of $1.34\pm0.09$ pb. In addition, the tensor structure of the Higgs boson couplings is studied using an effective Lagrangian approach for the description of interactions beyond the Standard Model. Constraints are placed on the non-Standard-Model CP-even and CP-odd couplings to $Z$ bosons and on the CP-odd coupling to gluons.
The expected number of SM Higgs boson events with a mass mH= 125.09 GeV in the mass range 118 < m4l < 129 GeV for an integrated luminosity of 36.1/fb and sqrt(s)= 13 TeV in each reconstructed event category, shown separately for each Stage-0 production bin. The ggF and bbH contributions are shown separately but both contribute to the same (ggF) production bin. Statistical and systematic uncertainties are added in quadrature.
The observed and expected numbers of signal and background events in the four-lepton decay channels for an integrated luminosity of 36.1/fb and at sqrt(s)= 13 TeV, assuming the SM Higgs boson signal with a mass m_{H} = 125.09 GeV . The second column shows the expected number of signal events for the full mass range while the subsequent columns correspond to the mass range of 118 < m4l < 129 GeV. In addition to the ZZ* background, the contribution of other backgrounds is shown, comprising the data-driven estimate from Table 4 and the simulation-based estimate of contributions from rare triboson and tbar{t}V processes. Statistical and systematic uncertainties are added in quadrature.
The expected and observed numbers of signal events in reconstructed event categories for an integrated luminosity of 36.1/fb at sqrt(s)= 13 TeV, together with signal acceptances for each Stage-0 production mode. Results are obtained in bins of BDT discriminants using coarse binning with several bins merged into one. Signal acceptances less than 0.0001 are set to 0.
The observed values of Sigma*BR(H->ZZ*), the SM expected cross section sBRsm and their ratio Sigma*BR/(Sigma*BR)_SM for the inclusive production and in each Stage-0 and reduced Stage-1 production bin for an integrated luminosity of 36.1/fb and at sqrt(s)=13 TeV. The bbH contribution is considered as a part of the ggF production bins. The upper limits correspond to the 95% CL obtained with pseudo-experiments using the CL_s method. The uncertainties are given as (stat.)+(exp.)+(th.) for Stage 0 and as (stat.)+(syst.) for reduced Stage 1. Values without uncertainity are 95% CL upper limits.
Signal acceptance obtained as the ratio of the number of simulated signal events satisfying the event selection criteria in each reconstructed event category over the total number of events generated in the phase space specified by a given reduced Stage-1 ggF production bin. Results are obtained in bins of BDT discriminants using coarse binning with several bins merged into one. Values less than 0.0001 are set to 0.
Signal acceptance obtained as the ratio of the number of simulated signal events satisfying the event selection criteria in each reconstructed event category over the total number of events generated in the phase space specified by the given reduced Stage-1 VBF and VH production bins. Results are obtained in bins of BDT discriminants using coarse binning with several bins merged into one. Values less than 0.0001 are set to 0.
The signal strengths mu for the inclusive production and in each Stage-0 and reduced Stage-1 production bin for an integrated luminosity of 36.1/fb and at sqrt(s)=13 TeV. The bbH contribution is considered as a part of the ggF production bins. The upper limits correspond to the 95% CL obtained with pseudo-experiments using the CL_s method. The uncertainties are given as (stat.)+(exp.)+(th.) for Stage 0 and as (stat.)+(syst.) for reduced Stage 1. Values without uncertainity are 95% CL upper limits.
Signal acceptance (in percent) obtained as the ratio of the number of simulated signal events satisfying the event selection criteria in each reconstructed event category to the total number of generated events, as predicted by the MadGraph5_aMC@NLO generator assuming the SM coupling tensor structure or the BSM tensor structure with ($\kappa_{SM}$ = 1, | $\kappa_{AVV}$ | $\neq$ 0).
Number of expected ggF Higgs boson events for an integrated luminosity of $\mathcal L=36.1 \text{fb}^{-1}$ and at $\sqrt{\mathrm{s}}=13$ TeV, as predicted by the MadGraph5_aMC@NLO generator assuming the SM coupling tensor structure or the BSM tensor structure with ($\kappa_{SM}=1$, $|\kappa_{Avv}|=6$). The highest-order SM predicition for the sum of the ggF, ttH and bbH contributions is also shown for comparison.
Number of expected VBF and VH Higgs boson events for an integrated luminosity of $\mathcal L=36.1 \text{fb}^{-1}$ and at $\sqrt{\mathrm{s}}=13$ TeV, as predicted by the MadGraph5_aMC@NLO generator assuming the SM coupling tensor structure or the BSM tensor structure with ($\kappa_{SM}=1$, $|\kappa_{Avv}|=5$). The highest-order SM predicition for the sum of the VBF and VH contributions is also shown for comparison.
Expected Correlation Matrix for Stage 0
Observed Correlation Matrix for Stage 0. As upper limits are derived for ttH and VH POIs using the observed data, the corresponding terms inside the matrix are set to zero.
Expected Correlation Matrix for Reduced Stage 1
Observed Correlation Matrix for Reduced Stage 1. As upper limits are derived for ttH and VH POIs using the observed data, the corresponding terms inside the matrix are set to zero.
Expected Covariance Matrix for Stage 0
Observed Covariance Matrix for Stage 0. As upper limits are derived for ttH and VH POIs using the observed data, the corresponding terms inside the matrix are set to zero.
Expected Covariance Matrix for Reduced Stage 1
Observed Covariance Matrix for Reduced Stage 1. As upper limits are derived for ttH and VH POIs using the observed data, the corresponding terms inside the matrix are set to zero.
Likelihood contours at 68% CL in the (Sigma_ggF*B , Sigma_VBF*B ) plane
Likelihood contours at 95% CL in the (Sigma_ggF*B , Sigma_VBF*B ) plane
Expected two-dimensional negative log-likelihood scans for $\kappa_{HVV}$ versus $\kappa_{AVV}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The couplings $\kappa_{Hgg}$ and $\kappa_{SM}$ are fixed to the SM value of one in the fit. The 95% CL exclusion limits are shown.
Observed two-dimensional negative log-likelihood scans for $\kappa_{HVV}$ versus $\kappa_{AVV}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The couplings $\kappa_{Hgg}$ and $\kappa_{SM}$ are fixed to the SM value of one in the fit. The 95% CL exclusion limits are shown.
Expected two-dimensional negative log-likelihood scans for $\kappa_{HVV}$ versus $\kappa_{AVV}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The coupling $\kappa_{Hgg}$ is fixed to the SM value of one in the fit. The coupling $\kappa_{SM}$ is left as a free parameter of the fit. The 95% CL exclusion limits are shown.
Observed two-dimensional negative log-likelihood scans for $\kappa_{HVV}$ versus $\kappa_{AVV}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The coupling $\kappa_{Hgg}$ is fixed to the SM value of one in the fit. The coupling $\kappa_{SM}$ is left as a free parameter of the fit. The 95% CL exclusion limits are shown.
Expected two-dimensional negative log-likelihood scans for $\kappa_{HVV}$ versus $\kappa_{SM}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The 95% CL exclusion limits are shown.
Observed two-dimensional negative log-likelihood scans for $\kappa_{HVV}$ versus $\kappa_{SM}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The 95% CL exclusion limits are shown.
Expected two-dimensional negative log-likelihood scans for $\kappa_{AVV}$ versus $\kappa_{SM}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The 95% CL exclusion limits are shown.
Observed two-dimensional negative log-likelihood scans for $\kappa_{AVV}$ versus $\kappa_{SM}$ coupling parameters using $\mathcal L=36.1 \text{fb}^{-1}$ of data and at $\sqrt{\mathrm{s}}=13$ TeV. The 95% CL exclusion limits are shown.
This paper presents a search for direct electroweak gaugino or gluino pair production with a chargino nearly mass-degenerate with a stable neutralino. It is based on an integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ of $pp$ collisions at $\sqrt{s} = 13$ TeV collected by the ATLAS experiment at the LHC. The final state of interest is a disappearing track accompanied by at least one jet with high transverse momentum from initial-state radiation or by four jets from the gluino decay chain. The use of short track segments reconstructed from the innermost tracking layers significantly improves the sensitivity to short chargino lifetimes. The results are found to be consistent with Standard Model predictions. Exclusion limits are set at 95% confidence level on the mass of charginos and gluinos for different chargino lifetimes. For a pure wino with a lifetime of about 0.2 ns, chargino masses up to 460 GeV are excluded. For the strong production channel, gluino masses up to 1.65 TeV are excluded assuming a chargino mass of 460 GeV and lifetime of 0.2 ns.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Model dependent upper limits on cross-section (fb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Model dependent upper limits on cross-section (pb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Model dependent upper limits on cross-section (pb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Model dependent upper limits on cross-section (pb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Model dependent upper limits on cross-section (pb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.
Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.
Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.
Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.
Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.
Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.
Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.
Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.
Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.
Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.
The generator-level acceptance after reconstruction, for selecting and reconstructing charginos as a function of the chargino $eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the electroweak channel as a function of the chargino $eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the electroweak channel as a function of the chargino $eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the electroweak channel as a function of the chargino $eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the electroweak channel as a function of the chargino $eta$ and chargino decay radius (at generator level).
The generator-level acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the electroweak channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the electroweak channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the electroweak channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the electroweak channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The generator-level acceptance after reconstruction, for selecting and reconstructing charginos as a function of the chargino $\eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level).
The generator-level acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.
Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.
Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.
Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.
Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.
Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anticorrelation between different backgrounds.
Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anti-correlation between different backgrounds.
Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anti-correlation between different backgrounds.
Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anti-correlation between different backgrounds.
Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anti-correlation between different backgrounds.
Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracket background events is small.
Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracklet background events is small.
Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracklet background events is small.
Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracklet background events is small.
Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracklet background events is small.
Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.
Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.
Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.
Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.
Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.
A search for the supersymmetric partners of quarks and gluons (squarks and gluinos) in final states containing hadronic jets and missing transverse momentum, but no electrons or muons, is presented. The data used in this search were recorded in 2015 and 2016 by the ATLAS experiment in $\sqrt{s}$=13 TeV proton--proton collisions at the Large Hadron Collider, corresponding to an integrated luminosity of 36.1 fb$^{-1}$. The results are interpreted in the context of various models where squarks and gluinos are pair-produced and the neutralino is the lightest supersymmetric particle. An exclusion limit at the 95\% confidence level on the mass of the gluino is set at 2.03 TeV for a simplified model incorporating only a gluino and the lightest neutralino, assuming the lightest neutralino is massless. For a simplified model involving the strong production of mass-degenerate first- and second-generation squarks, squark masses below 1.55 TeV are excluded if the lightest neutralino is massless. These limits substantially extend the region of supersymmetric parameter space previously excluded by searches with the ATLAS detector.
Observed and expected background and signal effective mass distributions for SR2j-2100. For signal, a squark direct decay model where squarks have mass of 600 GeV and the neutralino1 has mass of 595 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2j-2800. For signal, a squark direct decay model where squarks have mass of 1500 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR4j-1000. For signal, a gluino direct decay model where gluinos have mass of 1300 GeV and the neutralino1 has mass of 900 GeV is shown.
Observed and expected background and signal effective mass distributions for SR4j-2200. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 800 GeV is shown.
Observed and expected background and signal effective mass distributions for SR6j-2600. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2jB-2400. For signal, a gluino onestep decay model where gluinos have mass of 1600 GeV, the chargino1 has mass of 1590 GeV and the neutralino1 has mass of 60 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2j-1200. For signal, a squark direct decay model where squarks have mass of 900 GeV and the neutralino1 has mass of 500 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2j-1600. For signal, a squark direct decay model where squarks have mass of 1200 GeV and the neutralino1 has mass of 500 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2j-2000. For signal, a squark direct decay model where squarks have mass of 1200 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2j-2400. For signal, a squark direct decay model where squarks have mass of 1500 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2j-3600. For signal, a squark direct decay model where squarks have mass of 1200 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2jB-1600. For signal, a gluino onestep decay model where gluinos have mass of 1600 GeV, the chargino1 has mass of 1590 GeV and the neutralino1 has mass of 60 GeV is shown.
Observed and expected background and signal effective mass distributions for SR3j-1300. For signal, a squark direct decay model where squarks have mass of 600 GeV and the neutralino1 has mass of 595 GeV is shown.
Observed and expected background and signal effective mass distributions for SR4j-1400. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR4j-1800. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR4j-2600. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR4j-3000. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR5j-1600. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.
Observed and expected background and signal effective mass distributions for SR5j-1700. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR5j-2000. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.
Observed and expected background and signal effective mass distributions for SR5j-2600. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.
Observed and expected background and signal effective mass distributions for SR6j-1200. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.
Observed and expected background and signal effective mass distributions for SR6j-1800. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.
Observed and expected background and signal effective mass distributions for SR6j-2200. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.
Observed 95% CL upper limit on the signal cross-section from searches in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from RJR-based searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from RJR-based searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from searches in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from RJR-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from RJR-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from searches in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from RJR-based searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from RJR-based searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the squark mass and the mass gap ratio x in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the squark mass and the mass gap ratio x in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from searches in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from RJR-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from RJR-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the gluino mass and the mass gap ratio x in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the gluino mass and the mass gap ratio x in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate the second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the gluino and second lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate the second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the gluino and second lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate the second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{q} \rightarrow q \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the squark mass and the mass gap ratio x in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{q} \rightarrow q \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the squark mass and the mass gap ratio x in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{q} \rightarrow q \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the gluino mass and the mass gap ratio x in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the gluino mass and the mass gap ratio x in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=0$ GeV.
Expected 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=0$ GeV.
Observed 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=0$ GeV.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=695$ GeV.
Expected 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=695$ GeV.
Observed 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=695$ GeV.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=995$ GeV.
Expected 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=995$ GeV.
Observed 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=995$ GeV.
Cut-flow of Meff-2j for three supersymmetric models: a gluino direct decay model where gluinos have mass of 2000 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events); and a squark direct decay model where squarks have mass of 1200 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 600 $\mathrm{\ Ge\kern -0.1em V}$ (20000 generated events); and a squark direct decay model where squarks have mass of 1500 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.
Cut-flow of Meff-3j,4j for three supersymmetric models: a gluino direct decay model where gluinos have mass of 2000 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events); and a squark direct decay model where squarks have mass of 1200 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 600 $\mathrm{\ Ge\kern -0.1em V}$ (20000 generated events); and a squark direct decay model where squarks have mass of 1500 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.
Cut-flow of Meff-5j,6j for three supersymmetric models: a gluino direct decay model where gluinos have mass of 2000 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events); and a squark direct decay model where squarks have mass of 1200 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 600 $\mathrm{\ Ge\kern -0.1em V}$ (20000 generated events); and a squark direct decay model where squarks have mass of 1500 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.
Cut-flow for RJR-based SR's targeting squarks for SS direct model points. Expected yields are normalized to a luminosity of 36.1 fb$^{-1}$.
Cut-flow for RJR-based SR's targeting gluinos for GG direct model points. Expected yields are normalized to a luminosity of 36.1 fb$^{-1}$.
Cut-flow for RJR-based SR's targeting compressed mass-spectra signals for SS direct and GG direct model points. Expected yields are normalized to a luminosity of 36.1 fb$^{-1}$.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-1200.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-1600.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2000.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2400.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2800.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-3600.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2100.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-3j-1300.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-1000.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-1400.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-1800.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-2200.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-2600.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-3000.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-1700.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-1600.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-2000.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-2600.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-1200.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-1800.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-2200.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-2600.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2jB-1600.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2jB-2400.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S1a.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S1b.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S2a.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S2b.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S3a.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S3b.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S4.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C1.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C2.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C3.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C4.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C5.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G1a.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G1b.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G2a.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G2b.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G3a.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G3b.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G4.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-1200.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-1600.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2000.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2400.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2800.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-3600.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2100.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-3j-1300.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-1000.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-1400.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-1800.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-5j-1600.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S1b.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S2a.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S2b.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S3a.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S3b.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S4.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C1.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C2.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C3.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C4.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C5.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G1a.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G1b.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G2a.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G2b.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G3a.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-3000.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-1700.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S1a.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S1b.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S2a.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S3a.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C5.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G1a.
The differential cross-section for the production of a $W$ boson in association with a top quark is measured for several particle-level observables. The measurements are performed using 36.1 fb$^{-1}$ of $pp$ collision data collected with the ATLAS detector at the LHC in 2015 and 2016. Differential cross-sections are measured in a fiducial phase space defined by the presence of two charged leptons and exactly one jet matched to a $b$-hadron, and are normalised with the fiducial cross-section. Results are found to be in good agreement with predictions from several Monte Carlo event generators.
The azimuthal anisotropic flow of identified and unidentified charged particles has been systematically studied in Cu+Au collisions at $\sqrt{s_{_{NN}}}$ = 200 GeV for harmonics $n=$ 1-4 in the pseudorapidity range $|\eta|<1$. The directed flow in Cu+Au collisions is compared with the rapidity-odd and, for the first time, the rapidity-even components of charged particle directed flow in Au+Au collisions at $\sqrt{s_{_{NN}}}$ = 200~GeV. The slope of the directed flow pseudorapidity dependence in Cu+Au collisions is found to be similar to that in Au+Au collisions, with the intercept shifted toward positive $\eta$ values, i.e., the Cu-going direction. The mean transverse momentum projected onto the spectator plane, $\langle p_x\rangle$, in Cu+Au collision also exhibits approximately linear dependence on $\eta$ with the intercept at about $\eta\approx-0.4$, closer to the rapidity of the Cu+Au system center-of-mass. The observed dependencies find natural explanation in a picture of the directed flow originating partly due the "tilted source" and partly due to the rapidity dependent asymmetry in the initial density distribution. Charge-dependence of the $\langle p_x\rangle$ was also observed in Cu+Au collisions, indicating an effect of the initial electric field created by charge difference of the spectator protons in two colliding nuclei. The rapidity-even component of directed flow in Au+Au collisions is close to that in Pb+Pb collisions at $\sqrt{s_{_{NN}}}$ = 2.76 TeV, indicating a similar magnitude of dipole-like fluctuations in the initial-state density distribution. Higher harmonic flow in Cu+Au collisions exhibits similar trends to those observed in Au+Au and Pb+Pb collisions and is qualitatively reproduced by a viscous hydrodynamic model and a multi-phase transport model. For all harmonics with $n\ge2$ we observe an approximate scaling of $v_n$ with the number of constituent quarks.
Directed flow $v_1(\eta)$ and $<p_x>(\eta)$ of charged particles measured with respect to the target and projectile spectator planes in 10%-40% centrality for Cu+Au collisions.
Directed flow $v_1(\eta)$ and $<p_x>(\eta)$ of charged particles measured with respect to the target and projectile spectator planes in 10%-40% centrality for Au+Au collisions.
Conventional and fluctuation components of directed flow $v_1(\eta)$ and momentum shift $<p_x>/<p_T>(\eta)$ of charged particles in 10%-40% centrality for Cu+Au and Au+Au collisions.
Slopes and intercepts of $<p_x>/<p_T>(\eta)$ in Cu+Au and Au+Au collisions.
Slopes and intercepts of $v_1(\eta)$ in Cu+Au and Au+Au collisions.
Centrality dependence of $v_1^{fluc(even)}$ and $<p_x>/<p_T>$ in Cu+Au and Au+Au collisions.
$p_T$ dependence of $v_1^{fluc(even)}$ and $v_1^{conv(odd)}$ in Cu+Au and Au+Au collisions.
$p_T$ dependence of $v_1$ measured with three-point correlator in Cu+Au collisions
$p_T$ dependence of $v_1$ measured with three-point correlator in Cu+Au collisions
$\eta$ dependence of $v_1$ measured with three-point correlator in Cu+Au collisions
Directed flow $v_1(p_T)$ of $\pi^+ + \pi^-$ in Cu+Au collisions.
Directed flow $v_1(p_T)$ of $K^++K^-$ in Cu+Au collisions.
Directed flow $v_1(p_T)$ of $p+\bar{p}$ in Cu+Au collisions.
Centrality dpendence of $<p_x>$ of positively and negatively charged particles and its differece in Cu+Au and Au+Au collisions.
Higher harmonic flow coefficients $v_n{\Psi_n}$ of charged particles for different centrality bins in Cu+Au collisions.
Higher harmonic flow coefficients of charged particles for different centrality bins in Cu+Au collisions.
Higher harmonic flow coefficients $v_n{\Psi_n}$ of charged particles for different centrality bins in Cu+Au collisions.
Higher harmonic flow coefficients $v_n$ of charged particles for two selected $p_T$ bins as a function of the number of participants calculated with a Monte-Carlo Glauber simulationin Cu+Au collisions.
Higher harmonic flow coefficients $v_n$ of charged particles for two selected $p_T$ bins as a function of the number of participants calculated with a Monte-Carlo Glauber simulationin Cu+Au collisions.
The second and third harmonic flow coefficients $v_n(p_T)$ of charged particles measured with the scalar product method for 0-5% and 20-30% centrality bins in Cu+Au collisions.
The second $v_2(p_T)$ harmonic flow coefficients of $\pi$ for different centrality bins in Cu+Au collisions.
The second $v_2(p_T)$ harmonic flow coefficients of p for different centrality bins in Cu+Au collisions.
The third $v_3(p_T)$ harmonic flow coefficients of $\pi$ for different centrality bins in Cu+Au collisions.
The third $v_3(p_T)$ harmonic flow coefficients of p for different centrality bins in Cu+Au collisions.
The second $v_2(p_T)$ and third $v_3(p_T)$ harmonic flow coefficients of K for different centrality bins in Cu+Au collisions.
Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.
Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.
Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.
Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.
Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.
Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.
Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.
Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.
The results of a search for the direct pair production of top squarks, the supersymmetric partner of the top quark, in final states with one isolated electron or muon, several energetic jets, and missing transverse momentum are reported. The analysis also targets spin-0 mediator models, where the mediator decays into a pair of dark-matter particles and is produced in association with a pair of top quarks. The search uses data from proton-proton collisions delivered by the Large Hadron Collider in 2015 and 2016 at a centre-of-mass energy of $\sqrt{s}=13$ TeV and recorded by the ATLAS detector, corresponding to an integrated luminosity of 36 fb$^{-1}$. A wide range of signal scenarios with different mass-splittings between the top squark, the lightest neutralino and possible intermediate supersymmetric particles are considered, including cases where the W bosons or the top quarks produced in the decay chain are off-shell. No significant excess over the Standard Model prediction is observed. The null results are used to set exclusion limits at 95% confidence level in several supersymmetry benchmark models. For pair-produced top-squarks decaying into top quarks, top-squark masses up to 940 GeV are excluded. Stringent exclusion limits are also derived for all other considered top-squark decay scenarios. For the spin-0 mediator models, upper limits are set on the visible cross-section.
$\textbf{Distribution 1 } -$ Kinematic distribution of $m_{\rm top}^{\rm reclustered}$ in tN_high. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 1 } -$ Kinematic distribution of $m_{\rm top}^{\rm reclustered}$ in tN_high. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 1 } -$ Kinematic distribution of $m_{\rm top}^{\rm reclustered}$ in tN_high. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 1 } -$ Kinematic distribution of $m_{\rm top}^{\rm reclustered}$ in tN_high. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 2 } -$ Kinematic distribution of amT2 in bC2x_med. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 2 } -$ Kinematic distribution of amT2 in bC2x_med. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 2 } -$ Kinematic distribution of amT2 in bC2x_med. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 2 } -$ Kinematic distribution of amT2 in bC2x_med. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 3 } -$ Kinematic distribution of mT in bC2x_diag. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 3 } -$ Kinematic distribution of mT in bC2x_diag. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 3 } -$ Kinematic distribution of mT in bC2x_diag. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 3 } -$ Kinematic distribution of mT in bC2x_diag. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 4 } -$ Kinematic distribution of ETmiss in bCbv. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 4 } -$ Kinematic distribution of ETmiss in bCbv. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 4 } -$ Kinematic distribution of ETmiss in bCbv. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 4 } -$ Kinematic distribution of ETmiss in bCbv. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 5 } -$ Kinematic distribution of mT in DM_low. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 5 } -$ Kinematic distribution of mT in DM_low. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 5 } -$ Kinematic distribution of mT in DM_low. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 5 } -$ Kinematic distribution of mT in DM_low. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 6 } -$ Kinematic distribution of ETmiss in DM_high. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 6 } -$ Kinematic distribution of ETmiss in DM_high. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 6 } -$ Kinematic distribution of ETmiss in DM_high. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 6 } -$ Kinematic distribution of ETmiss in DM_high. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 7 } -$ Distributions of BDT score for the tN_diag_low region. The SM background predictions are obtained using the background-only fit configuration.
$\textbf{Distribution 7 } -$ Distributions of BDT score for the tN_diag_low region. The SM background predictions are obtained using the background-only fit configuration.
$\textbf{Distribution 7 } -$ Distributions of BDT score for the tN_diag_low region. The SM background predictions are obtained using the background-only fit configuration.
$\textbf{Distribution 7 } -$ Distributions of BDT score for the tN_diag_low region. The SM background predictions are obtained using the background-only fit configuration.
$\textbf{Distribution 8 } -$ Distributions of BDT score for the tN_diag_med region. The SM background predictions are obtained using the background-only fit configuration.
$\textbf{Distribution 8 } -$ Distributions of BDT score for the tN_diag_med region. The SM background predictions are obtained using the background-only fit configuration.
$\textbf{Distribution 8 } -$ Distributions of BDT score for the tN_diag_med region. The SM background predictions are obtained using the background-only fit configuration.
$\textbf{Distribution 8 } -$ Distributions of BDT score for the tN_diag_med region. The SM background predictions are obtained using the background-only fit configuration.
$\textbf{Distribution 9 } -$ Distributions of BDT score for the tN_diag_high region. The SM background predictions are obtained using the background-only fit configuration.
$\textbf{Distribution 9 } -$ Distributions of BDT score for the tN_diag_high region. The SM background predictions are obtained using the background-only fit configuration.
$\textbf{Distribution 9 } -$ Distributions of BDT score for the tN_diag_high region. The SM background predictions are obtained using the background-only fit configuration.
$\textbf{Distribution 9 } -$ Distributions of BDT score for the tN_diag_high region. The SM background predictions are obtained using the background-only fit configuration.
$\textbf{Distribution 10 } -$ Kinematic distribution of ETmiss in tN_med. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 10 } -$ Kinematic distribution of ETmiss in tN_med. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 10 } -$ Kinematic distribution of ETmiss in tN_med. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 10 } -$ Kinematic distribution of ETmiss in tN_med. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 11 } -$ Kinematic distribution of amT2 in bWN. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 11 } -$ Kinematic distribution of amT2 in bWN. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 11 } -$ Kinematic distribution of amT2 in bWN. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 11 } -$ Kinematic distribution of amT2 in bWN. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 12 } -$ Kinematic distribution of pT(l)/ETmiss in bffN. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 12 } -$ Kinematic distribution of pT(l)/ETmiss in bffN. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 12 } -$ Kinematic distribution of pT(l)/ETmiss in bffN. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 12 } -$ Kinematic distribution of pT(l)/ETmiss in bffN. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 13 } -$ Kinematic distribution of pT(l)/ETmiss in bCsoft_diag. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 13 } -$ Kinematic distribution of pT(l)/ETmiss in bCsoft_diag. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 13 } -$ Kinematic distribution of pT(l)/ETmiss in bCsoft_diag. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 13 } -$ Kinematic distribution of pT(l)/ETmiss in bCsoft_diag. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 14 } -$ Kinematic distribution of pT(l)/ETmiss in bCsoft_med. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 14 } -$ Kinematic distribution of pT(l)/ETmiss in bCsoft_med. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 14 } -$ Kinematic distribution of pT(l)/ETmiss in bCsoft_med. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 14 } -$ Kinematic distribution of pT(l)/ETmiss in bCsoft_med. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 15 } -$ Kinematic distribution of pT(l)/ETmiss in bCsoft_high. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 15 } -$ Kinematic distribution of pT(l)/ETmiss in bCsoft_high. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 15 } -$ Kinematic distribution of pT(l)/ETmiss in bCsoft_high. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Distribution 15 } -$ Kinematic distribution of pT(l)/ETmiss in bCsoft_high. The full event selection in the corresponding signal region is applied, except for the requirement that is imposed on the variable being plotted. The predicted SM backgrounds are scaled with the normalisation factors obtained from the corresponding control regions. The last bin contains overflows.
$\textbf{Exclusion contour 1 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Exclusion contour 1 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Exclusion contour 1 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Exclusion contour 1 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Exclusion contour 1 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Exclusion contour 1 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Exclusion contour 1 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Exclusion contour 1 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Selected SR 1 } -$ Selected signal regions for the bino LSP model in the m(STOP) vs m(NEUTRALINO) plane.
$\textbf{Selected SR 1 } -$ Selected signal regions for the bino LSP model in the m(STOP) vs m(NEUTRALINO) plane.
$\textbf{Selected SR 1 } -$ Selected signal regions for the bino LSP model in the m(STOP) vs m(NEUTRALINO) plane.
$\textbf{Selected SR 1 } -$ Selected signal regions for the bino LSP model in the m(STOP) vs m(NEUTRALINO) plane.
$\textbf{Exclusion contour 2 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(STOP)-m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Exclusion contour 2 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(STOP)-m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Exclusion contour 2 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(STOP)-m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Exclusion contour 2 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(STOP)-m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Exclusion contour 2 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(STOP)-m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Exclusion contour 2 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(STOP)-m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Exclusion contour 2 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(STOP)-m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Exclusion contour 2 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(STOP)-m(NEUTRALINO) for the direct stop pair production assuming either stop -> t N1, stop -> b W C1 or stop -> b f f' N1 decay with a branching ratio of 100%.
$\textbf{Selected SR 2 } -$ Selected signal regions for the bino LSP model in the m(STOP) versus m(STOP)-m(NEUTRALINO) plane.
$\textbf{Selected SR 2 } -$ Selected signal regions for the bino LSP model in the m(STOP) versus m(STOP)-m(NEUTRALINO) plane.
$\textbf{Selected SR 2 } -$ Selected signal regions for the bino LSP model in the m(STOP) versus m(STOP)-m(NEUTRALINO) plane.
$\textbf{Selected SR 2 } -$ Selected signal regions for the bino LSP model in the m(STOP) versus m(STOP)-m(NEUTRALINO) plane.
$\textbf{Exclusion contour 3 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu < 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 3 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu < 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 3 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu < 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 3 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu < 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 3 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu < 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 3 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu < 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 3 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu < 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 3 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu < 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Selected SR 3 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu < 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Selected SR 3 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu < 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Selected SR 3 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu < 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Selected SR 3 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu < 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 4 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu > 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 4 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu > 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 4 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu > 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 4 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu > 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 4 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu > 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 4 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu > 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 4 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu > 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 4 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu > 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Selected SR 4 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu > 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Selected SR 4 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu > 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Selected SR 4 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu > 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Selected SR 4 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for the direct stop/sbottom pair production in the wino NLSP model under the hypothesis of mq3L < mtR and mu > 0, where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, sbottom -> t C1, sbottom -> b N1, and sbottom -> b N2) are considered with different branching ratios for each signal point. N2 decays to N1 predominantly via either Z boson or Higgs boson depending on the sign of the μ parameter.
$\textbf{Exclusion contour 5 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production assuming b C1 decay with a branching ratio of 100%. The chargino mass is assumed to be close to the stop mass, m(C1) = m(STOP) - 10 GeV.
$\textbf{Exclusion contour 5 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production assuming b C1 decay with a branching ratio of 100%. The chargino mass is assumed to be close to the stop mass, m(C1) = m(STOP) - 10 GeV.
$\textbf{Exclusion contour 5 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production assuming b C1 decay with a branching ratio of 100%. The chargino mass is assumed to be close to the stop mass, m(C1) = m(STOP) - 10 GeV.
$\textbf{Exclusion contour 5 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production assuming b C1 decay with a branching ratio of 100%. The chargino mass is assumed to be close to the stop mass, m(C1) = m(STOP) - 10 GeV.
$\textbf{Exclusion contour 5 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production assuming b C1 decay with a branching ratio of 100%. The chargino mass is assumed to be close to the stop mass, m(C1) = m(STOP) - 10 GeV.
$\textbf{Exclusion contour 5 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production assuming b C1 decay with a branching ratio of 100%. The chargino mass is assumed to be close to the stop mass, m(C1) = m(STOP) - 10 GeV.
$\textbf{Exclusion contour 5 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production assuming b C1 decay with a branching ratio of 100%. The chargino mass is assumed to be close to the stop mass, m(C1) = m(STOP) - 10 GeV.
$\textbf{Exclusion contour 5 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production assuming b C1 decay with a branching ratio of 100%. The chargino mass is assumed to be close to the stop mass, m(C1) = m(STOP) - 10 GeV.
$\textbf{Exclusion contour 6 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 6 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 6 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 6 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 6 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 6 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 6 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 6 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 6 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 6 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 6 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 6 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 7 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 7 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 7 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 7 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 7 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 7 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 7 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 7 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 7 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 7 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 7 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 7 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 8 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 8 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 8 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 8 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 8 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 8 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 8 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 8 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 8 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 8 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 8 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 8 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 9 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2) are considered with different branching ratios depending on the hypothesis being considered. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 9 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2) are considered with different branching ratios depending on the hypothesis being considered. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 9 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2) are considered with different branching ratios depending on the hypothesis being considered. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 9 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2) are considered with different branching ratios depending on the hypothesis being considered. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 9 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2) are considered with different branching ratios depending on the hypothesis being considered. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 9 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2) are considered with different branching ratios depending on the hypothesis being considered. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 9 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2) are considered with different branching ratios depending on the hypothesis being considered. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 9 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2) are considered with different branching ratios depending on the hypothesis being considered. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 10 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 10 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 10 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 10 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 10 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 10 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 10 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 10 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 10 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 10 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 10 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 10 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly left-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 11 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 11 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 11 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 11 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 11 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 11 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 11 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 11 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 11 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 11 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 11 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 11 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for a mostly right-handed stop. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 12 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 12 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 12 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 12 (exp.) } -$ Expected 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 12 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 12 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 12 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 12 (obs.) } -$ Observed 95% excluded regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 12 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 12 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 12 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Selected SR 12 } -$ Selected signal regions in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model for large $\tan\beta$. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{Exclusion contour 13 (exp.) } -$ Expected 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} < m_{t_{R}}$ hypothesis. Both stop/sbottom pair productions are considered.
$\textbf{Exclusion contour 13 (exp.) } -$ Expected 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} < m_{t_{R}}$ hypothesis. Both stop/sbottom pair productions are considered.
$\textbf{Exclusion contour 13 (exp.) } -$ Expected 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} < m_{t_{R}}$ hypothesis. Both stop/sbottom pair productions are considered.
$\textbf{Exclusion contour 13 (exp.) } -$ Expected 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} < m_{t_{R}}$ hypothesis. Both stop/sbottom pair productions are considered.
$\textbf{Exclusion contour 13 (obs.) } -$ Observed 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} < m_{t_{R}}$ hypothesis. Both stop/sbottom pair productions are considered.
$\textbf{Exclusion contour 13 (obs.) } -$ Observed 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} < m_{t_{R}}$ hypothesis. Both stop/sbottom pair productions are considered.
$\textbf{Exclusion contour 13 (obs.) } -$ Observed 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} < m_{t_{R}}$ hypothesis. Both stop/sbottom pair productions are considered.
$\textbf{Exclusion contour 13 (obs.) } -$ Observed 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} < m_{t_{R}}$ hypothesis. Both stop/sbottom pair productions are considered.
$\textbf{Selected SR 13 } -$ Selected signal regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} < m_{t_{R}}$ hypothesis. Both stop/sbottom pair productions are considered.
$\textbf{Selected SR 13 } -$ Selected signal regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} < m_{t_{R}}$ hypothesis. Both stop/sbottom pair productions are considered.
$\textbf{Selected SR 13 } -$ Selected signal regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} < m_{t_{R}}$ hypothesis. Both stop/sbottom pair productions are considered.
$\textbf{Selected SR 13 } -$ Selected signal regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} < m_{t_{R}}$ hypothesis. Both stop/sbottom pair productions are considered.
$\textbf{Exclusion contour 14 (exp.) } -$ Expected 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} > m_{t_{R}}$. Only stop pair production is considered.
$\textbf{Exclusion contour 14 (exp.) } -$ Expected 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} > m_{t_{R}}$. Only stop pair production is considered.
$\textbf{Exclusion contour 14 (exp.) } -$ Expected 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} > m_{t_{R}}$. Only stop pair production is considered.
$\textbf{Exclusion contour 14 (exp.) } -$ Expected 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} > m_{t_{R}}$. Only stop pair production is considered.
$\textbf{Exclusion contour 14 (obs.) } -$ Observed 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} > m_{t_{R}}$. Only stop pair production is considered.<br><b>Note:</b> As no observed exclusion is found for this model, the contour is empty.
$\textbf{Exclusion contour 14 (obs.) } -$ Observed 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} > m_{t_{R}}$. Only stop pair production is considered.<br><b>Note:</b> As no observed exclusion is found for this model, the contour is empty.
$\textbf{Exclusion contour 14 (obs.) } -$ Observed 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} > m_{t_{R}}$. Only stop pair production is considered.<br><b>Note:</b> As no observed exclusion is found for this model, the contour is empty.
$\textbf{Exclusion contour 14 (obs.) } -$ Observed 95% excluded regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} > m_{t_{R}}$. Only stop pair production is considered.<br><b>Note:</b> As no observed exclusion is found for this model, the contour is empty.
$\textbf{Selected SR 14 } -$ Selected signal regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} > m_{t_{R}}$. Only stop pair production is considered.
$\textbf{Selected SR 14 } -$ Selected signal regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} > m_{t_{R}}$. Only stop pair production is considered.
$\textbf{Selected SR 14 } -$ Selected signal regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} > m_{t_{R}}$. Only stop pair production is considered.
$\textbf{Selected SR 14 } -$ Selected signal regions in the plane of mm(STOP) versus m(NEUTRALINO) or the direct stop/sbottom pair production in the well-tempered neutralino model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2, b1 -> t C1, b1 -> b N1, and b1 -> b N2) are considered with different branching ratio for each signal point for the $m_{q_{3L}} > m_{t_{R}}$. Only stop pair production is considered.
$\textbf{DM Upper Limit 1 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis of a scalar mediator. The limit is shown as a function of the mediator mass for a fixed mass of the DM candidate of 1 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{DM Upper Limit 1 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis of a scalar mediator. The limit is shown as a function of the mediator mass for a fixed mass of the DM candidate of 1 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{DM Upper Limit 1 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis of a scalar mediator. The limit is shown as a function of the mediator mass for a fixed mass of the DM candidate of 1 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{DM Upper Limit 1 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis of a scalar mediator. The limit is shown as a function of the mediator mass for a fixed mass of the DM candidate of 1 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{DM Upper Limit 2 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis of a pseudoscalar mediator. The limit is shown as a function of the mediator mass for a fixed mass of the DM candidate of 1 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{DM Upper Limit 2 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis of a pseudoscalar mediator. The limit is shown as a function of the mediator mass for a fixed mass of the DM candidate of 1 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{DM Upper Limit 2 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis of a pseudoscalar mediator. The limit is shown as a function of the mediator mass for a fixed mass of the DM candidate of 1 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{DM Upper Limit 2 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis of a pseudoscalar mediator. The limit is shown as a function of the mediator mass for a fixed mass of the DM candidate of 1 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{DM Upper Limit 3 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis of a scalar mediator. The limit is shown as a function of the DM candidate mass for a fixed mediator mass of 10 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{DM Upper Limit 3 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis of a scalar mediator. The limit is shown as a function of the DM candidate mass for a fixed mediator mass of 10 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{DM Upper Limit 3 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis of a scalar mediator. The limit is shown as a function of the DM candidate mass for a fixed mediator mass of 10 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{DM Upper Limit 3 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis of a scalar mediator. The limit is shown as a function of the DM candidate mass for a fixed mediator mass of 10 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{DM Upper Limit 4 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis a pseudoscalar mediator. The limit is shown as a function of the DM candidate mass for a fixed mediator mass of 10 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{DM Upper Limit 4 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis a pseudoscalar mediator. The limit is shown as a function of the DM candidate mass for a fixed mediator mass of 10 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{DM Upper Limit 4 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis a pseudoscalar mediator. The limit is shown as a function of the DM candidate mass for a fixed mediator mass of 10 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{DM Upper Limit 4 } -$ Upper limit on the ratio of the DM production cross-section to the simplified model expectation under the hypothesis a pseudoscalar mediator. The limit is shown as a function of the DM candidate mass for a fixed mediator mass of 10 GeV. The coupling of the mediator to SM and DM particles is assumed to be g=1.
$\textbf{X-section U.L. 1 } -$ Observed upper limit on the signal cross section for the bino LSP model in the m(STOP) vs m(NEUTRALINO) plane.
$\textbf{X-section U.L. 1 } -$ Observed upper limit on the signal cross section for the bino LSP model in the m(STOP) vs m(NEUTRALINO) plane.
$\textbf{X-section U.L. 1 } -$ Observed upper limit on the signal cross section for the bino LSP model in the m(STOP) vs m(NEUTRALINO) plane.
$\textbf{X-section U.L. 1 } -$ Observed upper limit on the signal cross section for the bino LSP model in the m(STOP) vs m(NEUTRALINO) plane.
$\textbf{X-section U.L. 2 } -$ Observed upper limit on the signal cross section for the bino LSP model in the m(STOP) vs m(STOP)-m(NEUTRALINO) plane.
$\textbf{X-section U.L. 2 } -$ Observed upper limit on the signal cross section for the bino LSP model in the m(STOP) vs m(STOP)-m(NEUTRALINO) plane.
$\textbf{X-section U.L. 2 } -$ Observed upper limit on the signal cross section for the bino LSP model in the m(STOP) vs m(STOP)-m(NEUTRALINO) plane.
$\textbf{X-section U.L. 2 } -$ Observed upper limit on the signal cross section for the bino LSP model in the m(STOP) vs m(STOP)-m(NEUTRALINO) plane.
$\textbf{X-section U.L. 3 } -$ Observed upper limit on the signal cross section for the wino NLSP model with mu < 0
$\textbf{X-section U.L. 3 } -$ Observed upper limit on the signal cross section for the wino NLSP model with mu < 0
$\textbf{X-section U.L. 3 } -$ Observed upper limit on the signal cross section for the wino NLSP model with mu < 0
$\textbf{X-section U.L. 3 } -$ Observed upper limit on the signal cross section for the wino NLSP model with mu < 0
$\textbf{X-section U.L. 4 } -$ Observed upper limit on the signal cross section for the wino NLSP model with mu > 0
$\textbf{X-section U.L. 4 } -$ Observed upper limit on the signal cross section for the wino NLSP model with mu > 0
$\textbf{X-section U.L. 4 } -$ Observed upper limit on the signal cross section for the wino NLSP model with mu > 0
$\textbf{X-section U.L. 4 } -$ Observed upper limit on the signal cross section for the wino NLSP model with mu > 0
$\textbf{X-section U.L. 5 } -$ Observed upper limit on the signal cross section for the higgsino LSP model with left-handed stop squarks.
$\textbf{X-section U.L. 5 } -$ Observed upper limit on the signal cross section for the higgsino LSP model with left-handed stop squarks.
$\textbf{X-section U.L. 5 } -$ Observed upper limit on the signal cross section for the higgsino LSP model with left-handed stop squarks.
$\textbf{X-section U.L. 5 } -$ Observed upper limit on the signal cross section for the higgsino LSP model with left-handed stop squarks.
$\textbf{X-section U.L. 6 } -$ Observed upper limit on the signal cross section for the higgsino LSP model with right-handed stop squarks.
$\textbf{X-section U.L. 6 } -$ Observed upper limit on the signal cross section for the higgsino LSP model with right-handed stop squarks.
$\textbf{X-section U.L. 6 } -$ Observed upper limit on the signal cross section for the higgsino LSP model with right-handed stop squarks.
$\textbf{X-section U.L. 6 } -$ Observed upper limit on the signal cross section for the higgsino LSP model with right-handed stop squarks.
$\textbf{X-section U.L. 7 } -$ Observed upper limit on the signal cross section for the higgsino LSP model with large tan beta.
$\textbf{X-section U.L. 7 } -$ Observed upper limit on the signal cross section for the higgsino LSP model with large tan beta.
$\textbf{X-section U.L. 7 } -$ Observed upper limit on the signal cross section for the higgsino LSP model with large tan beta.
$\textbf{X-section U.L. 7 } -$ Observed upper limit on the signal cross section for the higgsino LSP model with large tan beta.
$\textbf{X-section U.L. 8 } -$ Observed upper limit on the signal cross section for the variable m(CHARGINO) - m(NEUTRALINO) higgsino LSP model with left-handed stop squarks.
$\textbf{X-section U.L. 8 } -$ Observed upper limit on the signal cross section for the variable m(CHARGINO) - m(NEUTRALINO) higgsino LSP model with left-handed stop squarks.
$\textbf{X-section U.L. 8 } -$ Observed upper limit on the signal cross section for the variable m(CHARGINO) - m(NEUTRALINO) higgsino LSP model with left-handed stop squarks.
$\textbf{X-section U.L. 8 } -$ Observed upper limit on the signal cross section for the variable m(CHARGINO) - m(NEUTRALINO) higgsino LSP model with left-handed stop squarks.
$\textbf{X-section U.L. 9 } -$ Observed upper limit on the signal cross section for the variable m(CHARGINO) - m(NEUTRALINO) higgsino LSP model with right-handed stop squarks.
$\textbf{X-section U.L. 9 } -$ Observed upper limit on the signal cross section for the variable m(CHARGINO) - m(NEUTRALINO) higgsino LSP model with right-handed stop squarks.
$\textbf{X-section U.L. 9 } -$ Observed upper limit on the signal cross section for the variable m(CHARGINO) - m(NEUTRALINO) higgsino LSP model with right-handed stop squarks.
$\textbf{X-section U.L. 9 } -$ Observed upper limit on the signal cross section for the variable m(CHARGINO) - m(NEUTRALINO) higgsino LSP model with right-handed stop squarks.
$\textbf{X-section U.L. 10 } -$ Observed upper limit on the signal cross section for the variable m(CHARGINO) - m(NEUTRALINO) higgsino LSP model with large tan beta.
$\textbf{X-section U.L. 10 } -$ Observed upper limit on the signal cross section for the variable m(CHARGINO) - m(NEUTRALINO) higgsino LSP model with large tan beta.
$\textbf{X-section U.L. 10 } -$ Observed upper limit on the signal cross section for the variable m(CHARGINO) - m(NEUTRALINO) higgsino LSP model with large tan beta.
$\textbf{X-section U.L. 10 } -$ Observed upper limit on the signal cross section for the variable m(CHARGINO) - m(NEUTRALINO) higgsino LSP model with large tan beta.
$\textbf{X-section U.L. 11 } -$ Observed upper limit on the signal cross section for the simplified model with m(STOP) - m(CHARGINO) = 10 GeV.
$\textbf{X-section U.L. 11 } -$ Observed upper limit on the signal cross section for the simplified model with m(STOP) - m(CHARGINO) = 10 GeV.
$\textbf{X-section U.L. 11 } -$ Observed upper limit on the signal cross section for the simplified model with m(STOP) - m(CHARGINO) = 10 GeV.
$\textbf{X-section U.L. 11 } -$ Observed upper limit on the signal cross section for the simplified model with m(STOP) - m(CHARGINO) = 10 GeV.
$\textbf{X-section U.L. 12 } -$ Observed 95% upper cross-section limit in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2) are considered with different branching ratios depending on the hypothesis being considered. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{X-section U.L. 12 } -$ Observed 95% upper cross-section limit in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2) are considered with different branching ratios depending on the hypothesis being considered. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{X-section U.L. 12 } -$ Observed 95% upper cross-section limit in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2) are considered with different branching ratios depending on the hypothesis being considered. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{X-section U.L. 12 } -$ Observed 95% upper cross-section limit in the plane of m(STOP) versus m(NEUTRALINO) for direct stop pair production in the higgsino LSP model where various decay modes (stop -> b C1, stop -> t N1, stop -> t N2) are considered with different branching ratios depending on the hypothesis being considered. In this model, dm(C1,N1) =5 GeV and dm(N2,N1)=10 GeV are assumed.
$\textbf{X-section U.L. 13 } -$ Observed upper limit on the signal cross section for the well-tempered neutralino model with left-handed stop squarks.
$\textbf{X-section U.L. 13 } -$ Observed upper limit on the signal cross section for the well-tempered neutralino model with left-handed stop squarks.
$\textbf{X-section U.L. 13 } -$ Observed upper limit on the signal cross section for the well-tempered neutralino model with left-handed stop squarks.
$\textbf{X-section U.L. 13 } -$ Observed upper limit on the signal cross section for the well-tempered neutralino model with left-handed stop squarks.
$\textbf{X-section U.L. 14 } -$ Observed upper limit on the signal cross section for the well-tempered neutralino model with right-handed stop squarks.
$\textbf{X-section U.L. 14 } -$ Observed upper limit on the signal cross section for the well-tempered neutralino model with right-handed stop squarks.
$\textbf{X-section U.L. 14 } -$ Observed upper limit on the signal cross section for the well-tempered neutralino model with right-handed stop squarks.
$\textbf{X-section U.L. 14 } -$ Observed upper limit on the signal cross section for the well-tempered neutralino model with right-handed stop squarks.
$\textbf{Cutflow 1 } -$ Cutflow for tN_med for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (600, 300) GeV. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 1 } -$ Cutflow for tN_med for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (600, 300) GeV. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 1 } -$ Cutflow for tN_med for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (600, 300) GeV. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 1 } -$ Cutflow for tN_med for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (600, 300) GeV. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 2 } -$ Cutflow for tN_high for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (1000, 1) GeV. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 2 } -$ Cutflow for tN_high for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (1000, 1) GeV. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 2 } -$ Cutflow for tN_high for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (1000, 1) GeV. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 2 } -$ Cutflow for tN_high for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (1000, 1) GeV. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 3 } -$ Cutflow for bWN for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (350, 230) GeV in bWN. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 3 } -$ Cutflow for bWN for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (350, 230) GeV in bWN. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 3 } -$ Cutflow for bWN for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (350, 230) GeV in bWN. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 3 } -$ Cutflow for bWN for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (350, 230) GeV in bWN. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 4 } -$ Cutflow for bffN for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (350, 300) GeV. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 4 } -$ Cutflow for bffN for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (350, 300) GeV. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 4 } -$ Cutflow for bffN for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (350, 300) GeV. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 4 } -$ Cutflow for bffN for the pure bino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{0}_{1} )$ = (350, 300) GeV. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 5 } -$ Cutflow for bC2x_diag for the wino NLSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (737, 500, 250) GeV. Only stop pair production is considered in the cutflow. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 5 } -$ Cutflow for bC2x_diag for the wino NLSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (737, 500, 250) GeV. Only stop pair production is considered in the cutflow. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 5 } -$ Cutflow for bC2x_diag for the wino NLSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (737, 500, 250) GeV. Only stop pair production is considered in the cutflow. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 5 } -$ Cutflow for bC2x_diag for the wino NLSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (737, 500, 250) GeV. Only stop pair production is considered in the cutflow. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 6 } -$ Cutflow for bC2x_med for the wino NLSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (842, 300, 150) GeV. Only stop pair production is considered in the cutflow. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 6 } -$ Cutflow for bC2x_med for the wino NLSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (842, 300, 150) GeV. Only stop pair production is considered in the cutflow. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 6 } -$ Cutflow for bC2x_med for the wino NLSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (842, 300, 150) GeV. Only stop pair production is considered in the cutflow. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 6 } -$ Cutflow for bC2x_med for the wino NLSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (842, 300, 150) GeV. Only stop pair production is considered in the cutflow. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 7 } -$ Cutflow for the simplified signal model with $\Delta m( \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = 10 GeV, considering $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (700, 690, 1). The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 7 } -$ Cutflow for the simplified signal model with $\Delta m( \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = 10 GeV, considering $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (700, 690, 1). The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 7 } -$ Cutflow for the simplified signal model with $\Delta m( \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = 10 GeV, considering $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (700, 690, 1). The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 7 } -$ Cutflow for the simplified signal model with $\Delta m( \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = 10 GeV, considering $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (700, 690, 1). The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 8 } -$ Cutflow for bCsoft_diag for the higgsino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (400, 355, 350) GeV, assuming $\tilde{t}_{1} \sim \tilde{t}_{\mathrm{L}}$ and large $\tan\beta$. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 8 } -$ Cutflow for bCsoft_diag for the higgsino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (400, 355, 350) GeV, assuming $\tilde{t}_{1} \sim \tilde{t}_{\mathrm{L}}$ and large $\tan\beta$. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 8 } -$ Cutflow for bCsoft_diag for the higgsino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (400, 355, 350) GeV, assuming $\tilde{t}_{1} \sim \tilde{t}_{\mathrm{L}}$ and large $\tan\beta$. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 8 } -$ Cutflow for bCsoft_diag for the higgsino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (400, 355, 350) GeV, assuming $\tilde{t}_{1} \sim \tilde{t}_{\mathrm{L}}$ and large $\tan\beta$. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 9 } -$ Cutflow for bCsoft_med for the higgsino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (600, 205, 200) GeV, assuming $\tilde{t}_{1} \sim \tilde{t}_{\mathrm{L}}$ and large $\tan\beta$. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 9 } -$ Cutflow for bCsoft_med for the higgsino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (600, 205, 200) GeV, assuming $\tilde{t}_{1} \sim \tilde{t}_{\mathrm{L}}$ and large $\tan\beta$. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 9 } -$ Cutflow for bCsoft_med for the higgsino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (600, 205, 200) GeV, assuming $\tilde{t}_{1} \sim \tilde{t}_{\mathrm{L}}$ and large $\tan\beta$. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 9 } -$ Cutflow for bCsoft_med for the higgsino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (600, 205, 200) GeV, assuming $\tilde{t}_{1} \sim \tilde{t}_{\mathrm{L}}$ and large $\tan\beta$. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 10 } -$ Cutflow for bCsoft_high for the higgsino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (800, 155, 150) GeV, assuming $\tilde{t}_{1} \sim \tilde{t}_{\mathrm{L}}$ and large $\tan\beta$. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 10 } -$ Cutflow for bCsoft_high for the higgsino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (800, 155, 150) GeV, assuming $\tilde{t}_{1} \sim \tilde{t}_{\mathrm{L}}$ and large $\tan\beta$. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 10 } -$ Cutflow for bCsoft_high for the higgsino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (800, 155, 150) GeV, assuming $\tilde{t}_{1} \sim \tilde{t}_{\mathrm{L}}$ and large $\tan\beta$. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 10 } -$ Cutflow for bCsoft_high for the higgsino LSP signal model with $m(\tilde{t}_{1} , \tilde{\chi}^{\pm}_{1} , \tilde{\chi}^{0}_{1} )$ = (800, 155, 150) GeV, assuming $\tilde{t}_{1} \sim \tilde{t}_{\mathrm{L}}$ and large $\tan\beta$. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV. Numbers are provided for the discovery SR, even if a shape fit is used for placing exclusion limits.
$\textbf{Cutflow 11 } -$ Cutflow for DM_high for the spin-0 mediator model with $m(\phi, \chi)$ = (300, 1) GeV, assuming g=1 and a scalar mediator. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 11 } -$ Cutflow for DM_high for the spin-0 mediator model with $m(\phi, \chi)$ = (300, 1) GeV, assuming g=1 and a scalar mediator. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 11 } -$ Cutflow for DM_high for the spin-0 mediator model with $m(\phi, \chi)$ = (300, 1) GeV, assuming g=1 and a scalar mediator. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 11 } -$ Cutflow for DM_high for the spin-0 mediator model with $m(\phi, \chi)$ = (300, 1) GeV, assuming g=1 and a scalar mediator. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 12 } -$ Cutflow for DM_low for the spin-0 mediator model with $m(\phi, \chi)$ = (20, 1) GeV, assuming g=1 and a scalar mediator. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 12 } -$ Cutflow for DM_low for the spin-0 mediator model with $m(\phi, \chi)$ = (20, 1) GeV, assuming g=1 and a scalar mediator. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 12 } -$ Cutflow for DM_low for the spin-0 mediator model with $m(\phi, \chi)$ = (20, 1) GeV, assuming g=1 and a scalar mediator. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 12 } -$ Cutflow for DM_low for the spin-0 mediator model with $m(\phi, \chi)$ = (20, 1) GeV, assuming g=1 and a scalar mediator. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 13 } -$ Cutflow for DM_low_loose for the spin-0 mediator model with $m(\phi, \chi)$ = (20, 1) GeV, assuming g=1 and a scalar mediator. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 13 } -$ Cutflow for DM_low_loose for the spin-0 mediator model with $m(\phi, \chi)$ = (20, 1) GeV, assuming g=1 and a scalar mediator. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 13 } -$ Cutflow for DM_low_loose for the spin-0 mediator model with $m(\phi, \chi)$ = (20, 1) GeV, assuming g=1 and a scalar mediator. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Cutflow 13 } -$ Cutflow for DM_low_loose for the spin-0 mediator model with $m(\phi, \chi)$ = (20, 1) GeV, assuming g=1 and a scalar mediator. The DxAOD skimming step requires at least one of the following criteria to be fullfilled: one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ triggers has fired and there is at least one loose muon (electron) with $p_{\mathrm{T}}$ > 3.5 (4.5) GeV; or one of the $E_{\mathrm{T}}^{\mathrm{miss}}$ or lepton triggers has fired and there is at least one loose lepton with $p_{\mathrm{T}}$ > 25 GeV.
$\textbf{Acceptance 1 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $m_{\tilde{\chi}^{0}_{1}}$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 1 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $m_{\tilde{\chi}^{0}_{1}}$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 1 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $m_{\tilde{\chi}^{0}_{1}}$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 1 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $m_{\tilde{\chi}^{0}_{1}}$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 1 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $m_{\tilde{\chi}^{0}_{1}}$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 1 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $m_{\tilde{\chi}^{0}_{1}}$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 1 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $m_{\tilde{\chi}^{0}_{1}}$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 1 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $m_{\tilde{\chi}^{0}_{1}}$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 2 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $\Delta m(\tilde{t}_{1},\tilde{\chi}^{0}_{1})$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 2 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $\Delta m(\tilde{t}_{1},\tilde{\chi}^{0}_{1})$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 2 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $\Delta m(\tilde{t}_{1},\tilde{\chi}^{0}_{1})$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 2 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $\Delta m(\tilde{t}_{1},\tilde{\chi}^{0}_{1})$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 2 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $\Delta m(\tilde{t}_{1},\tilde{\chi}^{0}_{1})$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 2 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $\Delta m(\tilde{t}_{1},\tilde{\chi}^{0}_{1})$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 2 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $\Delta m(\tilde{t}_{1},\tilde{\chi}^{0}_{1})$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 2 } -$ Acceptance and efficiency for the bino LSP model in the $m_{\tilde{t}_{1}}$ vs $\Delta m(\tilde{t}_{1},\tilde{\chi}^{0}_{1})$ plane. Efficiencies larger than 100% are observed in the bWN SR due differences in $am_{\mathrm{T2}}$ between truth and reconstruction level, in the absence of $b$-tagging inefficiencies. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 3 } -$ Acceptance and efficiency for the wino NLSP model with $\mu > 0$.
$\textbf{Acceptance 3 } -$ Acceptance and efficiency for the wino NLSP model with $\mu > 0$.
$\textbf{Acceptance 3 } -$ Acceptance and efficiency for the wino NLSP model with $\mu > 0$.
$\textbf{Acceptance 3 } -$ Acceptance and efficiency for the wino NLSP model with $\mu > 0$.
$\textbf{Efficiency 3 } -$ Acceptance and efficiency for the wino NLSP model with $\mu > 0$.
$\textbf{Efficiency 3 } -$ Acceptance and efficiency for the wino NLSP model with $\mu > 0$.
$\textbf{Efficiency 3 } -$ Acceptance and efficiency for the wino NLSP model with $\mu > 0$.
$\textbf{Efficiency 3 } -$ Acceptance and efficiency for the wino NLSP model with $\mu > 0$.
$\textbf{Acceptance 4 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV. The model assumes large $\tan\beta$ and the $\tilde{t}_{1}$ to be mostly $\tilde{t}_{L}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 4 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV. The model assumes large $\tan\beta$ and the $\tilde{t}_{1}$ to be mostly $\tilde{t}_{L}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 4 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV. The model assumes large $\tan\beta$ and the $\tilde{t}_{1}$ to be mostly $\tilde{t}_{L}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 4 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV. The model assumes large $\tan\beta$ and the $\tilde{t}_{1}$ to be mostly $\tilde{t}_{L}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 4 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV. The model assumes large $\tan\beta$ and the $\tilde{t}_{1}$ to be mostly $\tilde{t}_{L}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 4 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV. The model assumes large $\tan\beta$ and the $\tilde{t}_{1}$ to be mostly $\tilde{t}_{L}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 4 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV. The model assumes large $\tan\beta$ and the $\tilde{t}_{1}$ to be mostly $\tilde{t}_{L}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 4 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV. The model assumes large $\tan\beta$ and the $\tilde{t}_{1}$ to be mostly $\tilde{t}_{L}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 5 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV, in the region where $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) < m_{\textrm{top}}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 5 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV, in the region where $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) < m_{\textrm{top}}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 5 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV, in the region where $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) < m_{\textrm{top}}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 5 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV, in the region where $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) < m_{\textrm{top}}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 5 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV, in the region where $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) < m_{\textrm{top}}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 5 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV, in the region where $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) < m_{\textrm{top}}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 5 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV, in the region where $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) < m_{\textrm{top}}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 5 } -$ Acceptance and efficiency for the higgsino LSP model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) = 5$ GeV, in the region where $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{0}_{1}) < m_{\textrm{top}}$. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 6 } -$ Acceptance and efficiency for the simplified model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{\pm}_{1}) = 10$ GeV.
$\textbf{Acceptance 6 } -$ Acceptance and efficiency for the simplified model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{\pm}_{1}) = 10$ GeV.
$\textbf{Acceptance 6 } -$ Acceptance and efficiency for the simplified model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{\pm}_{1}) = 10$ GeV.
$\textbf{Acceptance 6 } -$ Acceptance and efficiency for the simplified model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{\pm}_{1}) = 10$ GeV.
$\textbf{Efficiency 6 } -$ Acceptance and efficiency for the simplified model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{\pm}_{1}) = 10$ GeV.
$\textbf{Efficiency 6 } -$ Acceptance and efficiency for the simplified model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{\pm}_{1}) = 10$ GeV.
$\textbf{Efficiency 6 } -$ Acceptance and efficiency for the simplified model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{\pm}_{1}) = 10$ GeV.
$\textbf{Efficiency 6 } -$ Acceptance and efficiency for the simplified model with $\Delta m (\tilde{\chi}^{\pm}_{1}, \tilde{\chi}^{\pm}_{1}) = 10$ GeV.
$\textbf{Acceptance 7 } -$ Acceptance and efficiency for the spin-0 mediator model, assuming a scalar mediator. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 7 } -$ Acceptance and efficiency for the spin-0 mediator model, assuming a scalar mediator. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 7 } -$ Acceptance and efficiency for the spin-0 mediator model, assuming a scalar mediator. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Acceptance 7 } -$ Acceptance and efficiency for the spin-0 mediator model, assuming a scalar mediator. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 7 } -$ Acceptance and efficiency for the spin-0 mediator model, assuming a scalar mediator. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 7 } -$ Acceptance and efficiency for the spin-0 mediator model, assuming a scalar mediator. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 7 } -$ Acceptance and efficiency for the spin-0 mediator model, assuming a scalar mediator. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
$\textbf{Efficiency 7 } -$ Acceptance and efficiency for the spin-0 mediator model, assuming a scalar mediator. Acceptance and efficiency numbers are provided for discovery SRs even if shape fits are used for placing exclusion limits.
Jet substructure observables have significantly extended the search program for physics beyond the Standard Model at the Large Hadron Collider. The state-of-the-art tools have been motivated by theoretical calculations, but there has never been a direct comparison between data and calculations of jet substructure observables that are accurate beyond leading-logarithm approximation. Such observables are significant not only for probing the collinear regime of QCD that is largely unexplored at a hadron collider, but also for improving the understanding of jet substructure properties that are used in many studies at the Large Hadron Collider. This Letter documents a measurement of the first jet substructure quantity at a hadron collider to be calculated at next-to-next-to-leading-logarithm accuracy. The normalized, differential cross-section is measured as a function of log$_{10}\rho^2$, where $\rho$ is the ratio of the soft-drop mass to the ungroomed jet transverse momentum. This quantity is measured in dijet events from 32.9 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collisions recorded by the ATLAS detector. The data are unfolded to correct for detector effects and compared to precise QCD calculations and leading-logarithm particle-level Monte Carlo simulations.
Data from Fig 3a. The unfolded $log_{10}(\rho^2)$ distribution for anti-kt R=0.8 jets with $p_T$(lead) > 600 GeV, after the soft drop algorithm is applied for $\beta$ = 0, in data. All uncertainties described in the text are shown on the data; the uncertainties from the calculations are shown on each one. The distributions are normalized to the integrated cross section, $\sigma$(resum), measured in the resummation region, $-3.7 < log_{10}(\rho^2) < -1.7$.
Data from Fig 3b. The unfolded $log_{10}(\rho^2)$ distribution for anti-kt R=0.8 jets with $p_T$(lead) > 600 GeV, after the soft drop algorithm is applied for $\beta$ = 1, in data. All uncertainties described in the text are shown on the data; the uncertainties from the calculations are shown on each one. The distributions are normalized to the integrated cross section, $\sigma$(resum), measured in the resummation region, $-3.7 < log_{10}(\rho^2) < -1.7$.
Data from Fig 3c. The unfolded $log_{10}(\rho^2)$ distribution for anti-kt R=0.8 jets with $p_T$(lead) > 600 GeV, after the soft drop algorithm is applied for $\beta$ = 2, in data. All uncertainties described in the text are shown on the data; the uncertainties from the calculations are shown on each one. The distributions are normalized to the integrated cross section, $\sigma$(resum), measured in the resummation region, $-3.7 < log_{10}(\rho^2) < -1.7$. The uncertainties are applied symmetrically, though the cross section cannot go below zero in the first bin.
Data from Fig 4 and Fig 8a-16a. The unfolded $log_{10}(\rho^2)$ distribution for anti-kt R=0.8 jets with $p_T$(lead) > 600 GeV, after the soft drop algorithm is applied for beta = 0, in data. All uncertainties described in the text are shown on the data; the uncertainties from the calculations are shown on each one. The distributions are normalized to the integrated cross section, sigma(resum), measured in the resummation region, $-3.7 < log_{10}(\rho^2) < -1.7$. Each set of 10 bins corresponds to one $p_T$ bin in {600, 650, 700, 750, 800, 850, 900, 950, 1000, ∞ } and 10 evenly spaced bins in $log_{10}(\rho^2)$ from -4.5 to -0.5.
Data from Fig 4 and Fig 8b-16b. The unfolded $log_{10}(\rho^2)$ distribution for anti-kt R=0.8 jets with $p_T$(lead) > 600 GeV, after the soft drop algorithm is applied for $\beta$ = 1, in data. All uncertainties described in the text are shown on the data; the uncertainties from the calculations are shown on each one. The distributions are normalized to the integrated cross section, sigma(resum), measured in the resummation region, $-3.7 < log_{10}(\rho^2) < -1.7$. Each set of 10 bins corresponds to one $p_T$ bin in {600, 650, 700, 750, 800, 850, 900, 950, 1000, ∞ } and 10 evenly spaced bins in $log_{10}(\rho^2)$ from -4.5 to -0.5.
Data from Fig 8c-16c. The unfolded $log_{10}(\rho^2)$ distribution for anti-kt R=0.8 jets with $p_T$(lead) > 600 GeV, after the soft drop algorithm is applied for $\beta$ = 2, in data. All uncertainties described in the text are shown on the data; the uncertainties from the calculations are shown on each one. The distributions are normalized to the integrated cross section, sigma(resum), measured in the resummation region, $-3.7 < log_{10}(\rho^2) < -1.7$. Each set of 10 bins corresponds to one $p_T$ bin in {600, 650, 700, 750, 800, 850, 900, 950, 1000, ∞ } and 10 evenly spaced bins in $log_{10}(\rho^2)$ from -4.5 to -0.5.
Data from Fig 6a. The summed covariance matrices of the systematic and statistical uncertainties for the combined $p_T$ and $log_{10}(\rho^2)$ bins for $\beta$ = 0. Each group of 10 bins corresponds to a bin of $p_T$ in {600, 650, 700, 750, 800, 850, 900, 950, 1000, ∞ }; each bin within the $p_T$ bin corresponds to 10 evenly spaced bins in $log_{10}(\rho^2)$ from -4.5 to -0.5.
Data from Fig 6b. The summed covariance matrices of the systematic and statistical uncertainties for the combined $p_T$ and $log_{10}(\rho^2)$ bins for $\beta$ = 1. Each group of 10 bins corresponds to a bin of $p_T$ in {600, 650, 700, 750, 800, 850, 900, 950, 1000, ∞ }; each bin within the $p_T$ bin corresponds to 10 evenly spaced bins in $log_{10}(\rho^2)$ from -4.5 to -0.5.
Data from Fig 6c. The summed covariance matrices of the systematic and statistical uncertainties for the combined $p_T$ and $log_{10}(\rho^2)$ bins for $\beta$ = 2. Each group of 10 bins corresponds to a bin of $p_T$ in {600, 650, 700, 750, 800, 850, 900, 950, 1000, ∞ }; each bin within the $p_T$ bin corresponds to 10 evenly spaced bins in $log_{10}(\rho^2)$ from -4.5 to -0.5.
Data from Fig 7a. The summed covariance matrices of the systematic and statistical uncertainties for the $log_{10}(\rho^2)$ bins for $\beta$ = 0, inclusive in $p_T$.
Data from Fig 7b. The summed covariance matrices of the systematic and statistical uncertainties for the $log_{10}(\rho^2)$ bins for $\beta$ = 1, inclusive in $p_T$.
Data from Fig 7c. The summed covariance matrices of the systematic and statistical uncertainties for the $log_{10}(\rho^2)$ bins for $\beta$ = 2, inclusive in $p_T$.
Results of a search for new phenomena in final states with an energetic jet and large missing transverse momentum are reported. The search uses proton--proton collision data corresponding to an integrated luminosity of 36.1 fb${}^{-1}$ at a centre-of-mass energy of 13 TeV collected in 2015 and 2016 with the ATLAS detector at the Large Hadron Collider. Events are required to have at least one jet with a transverse momentum above 250 GeV and no leptons ($e$ or $\mu$). Several signal regions are considered with increasing requirements on the missing transverse momentum above 250 GeV. Good agreement is observed between the number of events in data and Standard Model predictions. The results are translated into exclusion limits in models with pair-produced weakly interacting dark-matter candidates, large extra spatial dimensions, and supersymmetric particles in several compressed scenarios.
The measured leading jet $p_{T}$ distribution in the W($\rightarrow \mu \nu$)+jets control region, for the $E_{T}^{miss}$ > 250GeV inclusive selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit. The last bin of the distribution contains overflows.
The measured $E_{T}^{miss}$ distribution in the W($\rightarrow e \nu$)+jets control region, for the $E_{T}^{miss}$ > 250GeV inclusive selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit. The last bin of the distribution contains overflows.
The measured leading jet $p_{T}$ distribution in the W($\rightarrow e \nu$)+jets control region, for the $E_{T}^{miss}$ > 250GeV inclusive selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit. The last bin of the distribution contains overflows.
The measured $E_{T}^{miss}$ distribution in the Z/$\gamma ^{*}$($\rightarrow \mu \mu$)+jets control region, for the $E_{T}^{miss}$ > 250GeV inclusive selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit. The last bin of the distribution contains overflows.
The measured leading jet $p_{T}$ distribution in the Z/$\gamma ^{*}$($\rightarrow \mu \mu$)+jets control region, for the $E_{T}^{miss}$ > 250GeV inclusive selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit. The last bin of the distribution contains overflows.
The measured $E_{T}^{miss}$ distribution in the top control region, for the $E_{T}^{miss}$ > 250GeV inclusive selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit. The last bin of the distribution contains overflows.
The measured leading jet $p_{T}$ distribution in the top control region, for the $E_{T}^{miss}$ > 250GeV inclusive selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit. The last bin of the distribution contains overflows.
Measured distribution of the $E_{T}^{miss}$ for the $E_{T}^{miss}$ > 250GeV selection compared to the SM predictions. The latter are normalized with normalization factors as determined by the global fit that considers exclusive $E_{T}^{miss}$ regions. The last bin of the distribution contains overflows.
Measured distribution of the leading jet $p_{T}$ for the $E_{T}^{miss}$ > 250GeV selection compared to the SM predictions. The latter are normalized with normalization factors as determined by the global fit that considers exclusive $E_{T}^{miss}$ regions. The last bin of the distribution contains overflows.
Measured distribution of the leading jet $|\eta|$ for the $E_{T}^{miss}$ > 250GeV selection compared to the SM predictions. The latter are normalized with normalization factors as determined by the global fit that considers exclusive $E_{T}^{miss}$ regions. The last bin of the distribution contains overflows.
Measured distribution of the jet multiplicity for the $E_{T}^{miss}$ > 250GeV selection compared to the SM predictions. The latter are normalized with normalization factors as determined by the global fit that considers exclusive $E_{T}^{miss}$ regions. The last bin of the distribution contains overflows.
The expected $95\%$ 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 assumed mediator mass m$_{Z_{A}}$ and the dark matter mass m$_{\chi}$.
The measured $E_{T}^{miss}$ distribution in the W($\rightarrow \mu \nu$)+jets control region, for the $E_{T}^{miss}$ > 250GeV inclusive selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit. The last bin of the distribution contains overflows.
The observed $95\%$ 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 assumed mediator mass m$_{Z_{A}}$ and the dark matter mass m$_{\chi}$.
The observed $90\%$ CL exclusion limit on the spin-dependent WIMP–proton scattering cross section in the context of the simplified model with axial-vector couplings, assuming minimal mediator width and the coupling values $g_{q} = 0.25$ and $g_{\chi} = 1$.
The expected $95\%$ CL exclusion limit for a simplified model of dark matter production involving a vector operator, Dirac DM and couplings $g_{q} = 0.25$ and $g_{\chi} = 1$ as a function of the assumed mediator mass m$_{Z_{V}}$ and the dark matter mass m$_{\chi}$.
The observed $95\%$ CL exclusion limit for a simplified model of dark matter production involving a vector operator, Dirac DM and couplings $g_{q} = 0.25$ and $g_{\chi} = 1$ as a function of the assumed mediator mass m$_{Z_{V}}$ and the dark matter mass m$_{\chi}$.
The expected and observed $95\%$ CL limits on the signal strength $\mu = \sigma^{95\% CL}/\sigma$ as a function of the mediator mass for a very light WIMP, in a model with spin-0 pseudoscalar mediator and $g_{q}=g_{\chi}=1.0$.
The expected and observed $95\%$ CL limits on the signal strength $\mu = \sigma^{95\% CL}/\sigma$ as a function of the WIMP mass for $m_{Z_{P}}=10$ GeV, in a model with spin-0 pseudoscalar mediator and $g_{q}=g_{\chi}=1.0$.
The expected exclusion contour at $95\%$ CL in the m$_{\eta}$–m$_{\chi}$ parameter plane for the coloured scalar mediator model, with minimal width and coupling set to $g=1$.
The observed exclusion contour at $95\%$ CL in the m$_{\eta}$–m$_{\chi}$ parameter plane for the coloured scalar mediator model, with minimal width and coupling set to $g=1$.
The expected excluded region at the $95\%$ CL in the ($\tilde{t}_{1}$,$\chi^{0}_{1}$) mass plane for the decay channel $\tilde{t}_{1} \rightarrow c + \chi^{0}_{1}$ (B = $100\%$).
The observed excluded region at the $95\%$ CL in the ($\tilde{t}_{1}$,$\chi^{0}_{1}$) mass plane for the decay channel $\tilde{t}_{1} \rightarrow c + \chi^{0}_{1}$ (B = $100\%$).
The expected excluded region at the $95\%$ CL in the ($\tilde{t}_{1}$,$\chi^{0}_{1}$) mass plane for the decay channel $\tilde{t}_{1} \rightarrow b + ff' + \chi^{0}_{1}$ (B = $100\%$).
The observed excluded region at the $95\%$ CL in the ($\tilde{t}_{1}$,$\chi^{0}_{1}$) mass plane for the decay channel $\tilde{t}_{1} \rightarrow b + ff' + \chi^{0}_{1}$ (B = $100\%$).
The expected exclusion plane at $95\%$ CL as a function of sbottom and neutralino masses for the decay channel $\tilde{b}_{1} \rightarrow b + \chi^{0}_{1}$ (B = $100\%$).
The observed exclusion plane at $95\%$ CL as a function of sbottom and neutralino masses for the decay channel $\tilde{b}_{1} \rightarrow b + \chi^{0}_{1}$ (B = $100\%$).
The expected exclusion region at $95\%$ CL as a function of squark mass and the squark-neutralino mass difference for $\tilde{q}_{1} → q + \chi^{0}_{1}$ (q =u,d,c,s).
The observed exclusion region at $95\%$ CL as a function of squark mass and the squark-neutralino mass difference for $\tilde{q}_{1} → q + \chi^{0}_{1}$ (q =u,d,c,s).
Expected and observed $95\%$ CL lower limits on the fundamental Planck scale in 4+n dimensions, M$_D$, as a function of the number of extra dimensions.
Expected and observed $95\%$ CL upper limit on the signal strength $\mu$ in the hypothesis of an axial-vector mediator, g$_{q}=0.25$, g$_{\chi}=1.0$ and minimal mediator width, as a function of the assumed mediator and DM masses.
Observed $90\%$ CL exclusion limit on the spin-dependent WIMP–neutron scattering cross section in the context of the simplified model with axial-vector couplings, assuming minimal mediator width and the coupling values $g_{q}=0.25$ and $g_{\chi}=1$.
Expected and observed $95\%$ CL upper limit on the signal strength $\mu$ in the hypothesis of a pseudoscalar mediator, $g_{q}=g_{\chi}=1.0$ and minimal mediator width, as a function of the assumed mediator and DM masses.
This paper presents a measurement of the $W$ boson production cross section and the $W^{+}/W^{-}$ cross-section ratio, both in association with jets, in proton--proton collisions at $\sqrt{s}=8$ TeV with the ATLAS experiment at the Large Hadron Collider. The measurement is performed in final states containing one electron and missing transverse momentum using data corresponding to an integrated luminosity of 20.2 fb$^{-1}$. Differential cross sections for events with one or two jets are presented for a range of observables, including jet transverse momenta and rapidities, the scalar sum of transverse momenta of the visible particles and the missing transverse momentum in the event, and the transverse momentum of the $W$ boson. For a subset of the observables, the differential cross sections of positively and negatively charged $W$ bosons are measured separately. In the cross-section ratio of $W^{+}/W^{-}$ the dominant systematic uncertainties cancel out, improving the measurement precision by up to a factor of nine. The observables and ratios selected for this paper provide valuable input for the up quark, down quark, and gluon parton distribution functions of the proton.
Cross section for the production of W bosons for different inclusive jet multiplicities.
Statistical correlation between bins in data for the cross section for the production of W bosons for different inclusive jet multiplicities.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the inclusive jet multiplicity.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the inclusive jet multiplicity.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the inclusive jet multiplicity.
Differential cross section for the production of W bosons as a function of H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross section for the production of W bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Differential cross section for the production of W bosons as a function of second leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of second leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of second leading jet rapidity for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of second leading jet rapidity for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of Δ R<sub>jet1,jet2</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of Δ R<sub>jet1,jet2</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of dijet invariant mass for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of dijet invariant mass for events with N<sub> jets</sub> ≥ 2.
Cross section for the production of W bosons as a function of exclusive jet multiplicity.
Statistical correlation between bins in data for the cross section for the production of W bosons as a function of exclusive jet multiplicity.
Differential cross section for the production of W bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 0.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 0.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the electron η for events with N<sub> jets</sub> ≥ 0.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 0.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 0.
Differential cross section for the production of W bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 1.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the electron η for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 1.
List of experimentally considered systematic uncertainties for the W+jets cross section measurement
Non-perturbative corrections for the cross section for the production of W bosons for different inclusive jet multiplicities.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the inclusive jet multiplicity.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of second leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of second leading jet rapidity for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of Δ R<sub>jet1,jet2</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of dijet invariant mass for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the cross section for the production of W bosons as a function of exclusive jet multiplicity.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
NNLO/NLO k-factors determined with NNLO Njetti for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1. These numbers were obtained with code described in Phys. Rev. Lett. 115 (2015) 062002 [arXiv:1504.02131].
NNLO/NLO k-factors determined with NNLO Njetti for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1. These numbers were obtained with code described in Phys. Rev. Lett. 115 (2015) 062002 [arXiv:1504.02131].
NNLO/NLO k-factors determined with NNLO Njetti for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1. These numbers were obtained with code described in Phys. Rev. Lett. 115 (2015) 062002 [arXiv:1504.02131].
NNLO/NLO k-factors determined with NNLO Njetti for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1. These numbers were obtained with code described in Phys. Rev. Lett. 115 (2015) 062002 [arXiv:1504.02131].
Inclusive jet and dijet cross-sections are measured in proton-proton collisions at a centre-of-mass energy of 13 TeV. The measurement uses a dataset with an integrated luminosity of 3.2 fb$^{-1}$ recorded in 2015 with the ATLAS detector at the Large Hadron Collider. Jets are identified using the anti-${k_t}$ algorithm with a radius parameter value of $R=0.4$. The inclusive jet cross-sections are measured double-differentially as a function of the jet transverse momentum, covering the range from 100 GeV to 3.5 TeV, and the absolute jet rapidity up to $|y|=3$. The double-differential dijet production cross-sections are presented as a function of the dijet mass, covering the range from 300 GeV to 9 TeV, and the half absolute rapidity separation between the two leading jets within $|y|<3$, $y*$, up to $y*=3$. Next-to-leading-order, and next-to-next-to-leading-order for the inclusive jet measurement, perturbative QCD calculations corrected for non-perturbative and electroweak effects are compared to the measured cross-sections.
rapidity bin 0 < |Y| < 0.5 anti-kt R=0.4
rapidity bin 0.5 < |Y| < 1.0 anti-kt R=0.4
rapidity bin 1.0 < |Y| < 1.5 anti-kt R=0.4
rapidity bin 1.5 < |Y| < 2.0 anti-kt R=0.4
rapidity bin 2.0 < |Y| < 2.5 anti-kt R=0.4
rapidity bin 2.5 < |Y| < 3.0 anti-kt R=0.4
rapidity bin 0 < y* < 0.5 anti-kt R=0.4
rapidity bin 0.5 < y* < 1.0 anti-kt R=0.4
rapidity bin 1.0 < y* < 1.5 anti-kt R=0.4
rapidity bin 1.5 < y* < 2.0 anti-kt R=0.4
rapidity bin 2.0 < y* < 2.5 anti-kt R=0.4
rapidity bin 2.5 < y* < 3.0 anti-kt R=0.4
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