Showing 10 of 50 results
A search for supersymmetry in events with large missing transverse momentum, jets, and at least one hadronically decaying $\tau$-lepton is presented. Two exclusive final states with either exactly one or at least two $\tau$-leptons are considered. The analysis is based on proton-proton collisions at $\sqrt{s}$ = 13 TeV corresponding to an integrated luminosity of 36.1 fb$^{-1}$ delivered by the Large Hadron Collider and recorded by the ATLAS detector in 2015 and 2016. No significant excess is observed over the Standard Model expectation. At 95% confidence level, model-independent upper limits on the cross section are set and exclusion limits are provided for two signal scenarios: a simplified model of gluino pair production with $\tau$-rich cascade decays, and a model with gauge-mediated supersymmetry breaking (GMSB). In the simplified model, gluino masses up to 2000 GeV are excluded for low values of the mass of the lightest supersymmetric particle (LSP), while LSP masses up to 1000 GeV are excluded for gluino masses around 1400 GeV. In the GMSB model, values of the supersymmetry-breaking scale are excluded below 110 TeV for all values of $\tan\beta$ in the range $2 \leq \tan\beta \leq 60$, and below 120 TeV for $\tan\beta>30$.
1$\tau$ Compressed SR eff.
1$\tau$ Compressed SR eff.
1$\tau$ MediumMass SR eff.
1$\tau$ MediumMass SR eff.
2$\tau$ Compressed SR eff.
2$\tau$ Compressed SR eff.
2$\tau$ HighMass SR eff.
2$\tau$ HighMass SR eff.
2$\tau$ multibin SR eff.
2$\tau$ multibin SR eff.
2$\tau$ GMSB SR eff.
2$\tau$ GMSB SR eff.
1$\tau$ Compressed SR eff.
1$\tau$ Compressed SR eff.
1$\tau$ MediumMass SR eff.
1$\tau$ MediumMass SR eff.
2$\tau$ Compressed SR eff.
2$\tau$ Compressed SR eff.
2$\tau$ HighMass SR eff.
2$\tau$ HighMass SR eff.
2$\tau$ multibin SR eff.
2$\tau$ multibin SR eff.
2$\tau$ GMSB SR eff.
2$\tau$ GMSB SR eff.
1$\tau$ Compressed SR acceptance.
1$\tau$ Compressed SR acceptance.
1$\tau$ MediumMass SR acceptance.
1$\tau$ MediumMass SR acceptance.
2$\tau$ Compressed SR acceptance.
2$\tau$ Compressed SR acceptance.
2$\tau$ HighMass SR acceptance.
2$\tau$ HighMass SR acceptance.
2$\tau$ multibin SR acceptance.
2$\tau$ multibin SR acceptance.
2$\tau$ GMSB SR acceptance.
2$\tau$ GMSB SR acceptance.
1$\tau$ Compressed SR acceptance.
1$\tau$ Compressed SR acceptance.
1$\tau$ MediumMass SR acceptance.
1$\tau$ MediumMass SR acceptance.
2$\tau$ Compressed SR acceptance.
2$\tau$ Compressed SR acceptance.
2$\tau$ HighMass SR acceptance.
2$\tau$ HighMass SR acceptance.
2$\tau$ multibin SR acceptance.
2$\tau$ multibin SR acceptance.
2$\tau$ GMSB SR acceptance.
2$\tau$ GMSB SR acceptance.
Cutflow table of the $1\tau$ compressed SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $1\tau$ compressed SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $1\tau$ medium-mass SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $1\tau$ medium-mass SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ compressed SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ compressed SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ high-mass SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ high-mass SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ multibin SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ multibin SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ GMSB SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ GMSB SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Best performing fit setups entering the final combination as a function of the LSP mass and the gluino mass. 'S' marks the simultaneous fit of the four simplified model single-bin SRs, 'M' denotes the simultaneous fit of the two $1\tau$ SRs and the $2\tau$ multibin SR.
Best performing fit setups entering the final combination as a function of the LSP mass and the gluino mass. 'S' marks the simultaneous fit of the four simplified model single-bin SRs, 'M' denotes the simultaneous fit of the two $1\tau$ SRs and the $2\tau$ multibin SR.
Observed exclusion contour at 95% CL as a function of tanBeta and the SUSY-breaking mass scale Lambda.
Observed exclusion contour at 95% CL as a function of tanBeta and the SUSY-breaking mass scale Lambda.
Expected exclusion contour at 95% CL as a function of tanBeta and the SUSY-breaking mass scale Lambda.
Expected exclusion contour at 95% CL as a function of tanBeta and the SUSY-breaking mass scale Lambda.
Observed exclusion contour at 95% CL as a function of the LSP mass and the gluino mass.
Observed exclusion contour at 95% CL as a function of the LSP mass and the gluino mass.
Expected exclusion contour at 95% CL as a function of the LSP mass and the gluino mass.
Expected exclusion contour at 95% CL as a function of the LSP mass and the gluino mass.
Observed upper limits on the production cross section at 95% CL in pb as a function of tanBeta and SUSY breaking mass scale Lambda.
Observed upper limits on the production cross section at 95% CL in pb as a function of tanBeta and SUSY breaking mass scale Lambda.
Observed upper limits on the production cross section at 95% CL in pb as a function of the LSP mass and the gluino mass.
Observed upper limits on the production cross section at 95% CL in pb as a function of the LSP mass and the gluino mass.
Yields of the expected background from the SM in the bins of the multibin SR of the $2\tau$ channel with all bins being simultaneously used to constrain the background prediction. Expectation is given with the scalings computed in the combined fit applied. Uncertainties are statistial plus systematrics. Only the subsamples contributing the respective region are considered.
Yields of the expected background from the SM in the bins of the multibin SR of the $2\tau$ channel with all bins being simultaneously used to constrain the background prediction. Expectation is given with the scalings computed in the combined fit applied. Uncertainties are statistial plus systematrics. Only the subsamples contributing the respective region are considered.
$m_{\mathrm{T}}^{\tau}$ in the compressed $m_{\mathrm{T}}^{\tau}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau}$ in the compressed $m_{\mathrm{T}}^{\tau}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$E_{\mathrm{T}}^{\mathrm{miss}}$ in the compressed $E_{\mathrm{T}}^{\mathrm{miss}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$E_{\mathrm{T}}^{\mathrm{miss}}$ in the compressed $E_{\mathrm{T}}^{\mathrm{miss}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau}$ in the medium-mass $m_{\mathrm{T}}^{\tau}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau}$ in the medium-mass $m_{\mathrm{T}}^{\tau}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$E_{\mathrm{T}}^{\mathrm{miss}}$ in the medium-mass $E_{\mathrm{T}}^{\mathrm{miss}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$E_{\mathrm{T}}^{\mathrm{miss}}$ in the medium-mass $E_{\mathrm{T}}^{\mathrm{miss}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$H_{\mathrm{T}}$ in the medium-mass $H_{\mathrm{T}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$H_{\mathrm{T}}$ in the medium-mass $H_{\mathrm{T}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau_1}$ + $m_{\mathrm{T}}^{\tau_2}$ in the top VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau_1}$ + $m_{\mathrm{T}}^{\tau_2}$ in the top VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$H_{\mathrm{T}}$ in the $W$ VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$H_{\mathrm{T}}$ in the $W$ VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau_1}$ + $m_{\mathrm{T}}^{\tau_2}$ in the $Z$ VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau_1}$ + $m_{\mathrm{T}}^{\tau_2}$ in the $Z$ VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau}$ in the compressed SR of the $1\tau$ channel before application of the $m_{\mathrm{T}}^{\tau}$ > 80 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$m_{\mathrm{T}}^{\tau}$ in the compressed SR of the $1\tau$ channel before application of the $m_{\mathrm{T}}^{\tau}$ > 80 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the medium-mass SR of the $1\tau$ channel before application of the $H_{\mathrm{T}}$ > 1000 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the medium-mass SR of the $1\tau$ channel before application of the $H_{\mathrm{T}}$ > 1000 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$m_{\mathrm{T}}^{\mathrm{sum}}$ in the compressed SR of the $2\tau$ channel before application of the $m_{\mathrm{T}}^{\mathrm{sum}}$ > 1600 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$m_{\mathrm{T}}^{\mathrm{sum}}$ in the compressed SR of the $2\tau$ channel before application of the $m_{\mathrm{T}}^{\mathrm{sum}}$ > 1600 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the high-mass SR of the $2\tau$ channel before application of the $H_{\mathrm{T}}$ > 1100 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the high-mass SR of the $2\tau$ channel before application of the $H_{\mathrm{T}}$ > 1100 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
mT(tau_1) + mT(tau_2) in the multibin SR of the 2T channel. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
mT(tau_1) + mT(tau_2) in the multibin SR of the 2T channel. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the GMSB SR of the $2\tau$ channel before application of the $H_{\mathrm{T}}$ > 1900 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the GMSB SR of the $2\tau$ channel before application of the $H_{\mathrm{T}}$ > 1900 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
The results of a search for new heavy $W^\prime$ bosons decaying to an electron or muon and a neutrino using proton-proton collision data at a centre-of-mass energy of $\sqrt{s} = 13$ TeV are presented. The dataset was collected in 2015 and 2016 by the ATLAS experiment at the Large Hadron Collider and corresponds to an integrated luminosity of 36.1 fb$^{-1}$. As no excess of events above the Standard Model prediction is observed, the results are used to set upper limits on the $W^\prime$ boson cross-section times branching ratio to an electron or muon and a neutrino as a function of the $W^\prime$ mass. Assuming a $W^\prime$ boson with the same couplings as the Standard Model $W$ boson, $W^\prime$ masses below 5.1 TeV are excluded at the 95% confidence level.
Transverse mass distribution for events satisfying all selection criteria in the electron channel.
Transverse mass distribution for events satisfying all selection criteria in the electron channel.
Transverse mass distribution for events satisfying all selection criteria in the muon channel.
Transverse mass distribution for events satisfying all selection criteria in the muon channel.
Upper limits at the 95% CL on the cross section for SSM W' production and decay to the electron+neutrino channel as a function of the W' pole mass.
Upper limits at the 95% CL on the cross section for SSM W' production and decay to the electron+neutrino channel as a function of the W' pole mass.
Upper limits at the 95% CL on the cross section for SSM W' production and decay to the muon+neutrino channel as a function of the W' pole mass.
Upper limits at the 95% CL on the cross section for SSM W' production and decay to the muon+neutrino channel as a function of the W' pole mass.
Combined (electron and muon channels) upper limits at the 95% CL on the cross section for SSM W' production and decay to a single lepton generation as a function of the W' pole mass.
Combined (electron and muon channels) upper limits at the 95% CL on the cross section for SSM W' production and decay to a single lepton generation as a function of the W' pole mass.
Product of acceptance and efficiency for the electron and muon selections as a function of the W' pole mass.
Product of acceptance and efficiency for the electron and muon selections as a function of the W' pole mass.
A search for heavy neutral Higgs bosons and $Z^{\prime}$ bosons is performed using a data sample corresponding to an integrated luminosity of 36.1 fb$^{-1}$ from proton-proton collisions at $\sqrt{s}$ = 13 TeV recorded by the ATLAS detector at the LHC during 2015 and 2016. The heavy resonance is assumed to decay to $\tau^+\tau^-$ with at least one tau lepton decaying to final states with hadrons and a neutrino. The search is performed in the mass range of 0.2-2.25 TeV for Higgs bosons and 0.2-4.0 TeV for $Z^{\prime}$ bosons. The data are in good agreement with the background predicted by the Standard Model. The results are interpreted in benchmark scenarios. In the context of the hMSSM scenario, the data exclude $\tan\beta > 1.0$ for $m_A$ = 0.25 TeV and $\tan\beta > 42$ for $m_A$ = 1.5 TeV at the 95% confidence level. For the Sequential Standard Model, $Z^{\prime}_\mathrm{SSM}$ with $m_{Z^{\prime}} < 2.42$ TeV is excluded at 95% confidence level, while $Z^{\prime}_\mathrm{NU}$ with $m_{Z^{\prime}} < 2.25$ TeV is excluded for the non-universal $G(221)$ model that exhibits enhanced couplings to third-generation fermions.
Observed and predicted mTtot distribution in the b-veto category of the 1l1tau_h channel. Despite listing this as an exclusive final state (as there must be no b-jets), there is no explicit selection on the presence of additional light-flavour jets. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. In the paper, the first bin is cut off at 60 GeV for aesthetics but contains underflows down to 50 GeV as in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 300, 500 and 800 GeV and $\tan\beta$ = 10 in the hMSSM scenario are also provided.
Observed and predicted mTtot distribution in the b-tag category of the 1l1tau_h channel. Despite listing this as an exclusive final state (as there must be at least one b-jets), there is no explicit selection on the presence of additional light-flavour jets. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. In the paper, the first bin is cut off at 60 GeV for aesthetics but contains underflows down to 50 GeV as in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 300, 500 and 800 GeV and $\tan\beta$ = 10 in the hMSSM scenario are also provided.
Observed and predicted mTtot distribution in the b-veto category of the 2tau_h channel. Despite listing this as an exclusive final state (as there must be no b-jets), there is no explicit selection on the presence of additional light-flavour jets. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 300, 500 and 800 GeV and $\tan\beta$ = 10 in the hMSSM scenario are also provided.
Observed and predicted mTtot distribution in the b-tag category of the 2tau_h channel. Despite listing this as an exclusive final state (as there must be at least one b-jets), there is no explicit selection on the presence of additional light-flavour jets. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 300, 500 and 800 GeV and $\tan\beta$ = 10 in the hMSSM scenario are also provided.
Observed and predicted mTtot distribution for the b-inclusive selection in the 1l1tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. In the paper, the first bin is cut off at 60 GeV for aesthetics but contains underflows down to 50 GeV as in the HepData table. The last bin includes overflows. The prediction for a SSM Zprime with masses of 1500, 2000 and 2500 GeV are also provided.
Observed and predicted mTtot distribution for the b-inclusive selection in the 2tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The prediction for a SSM Zprime with masses of 1500, 2000 and 2500 GeV are also provided.
Observed and expected 95% CL upper limits on the b-associated Higgs boson production cross section times ditau branching fraction as a function of the boson mass.
Observed and expected 95% CL upper limits on the Drell Yan production cross section times ditau branching fraction as a function of the Zprime boson mass.
Observed and expected 95% CL upper limits on the Higgs boson production cross section times ditau branching fraction as a function of the boson mass and the relative strength of the b-associated production.
Ratio of the 95% CL upper limits on the production cross section times branching fraction for alternate Zprime models with respect to the SSM, both observed and expected are shown.
Acceptance, acceptance times efficiency and b-tag category fraction for a scalar boson produced by gluon-gluon fusion as a function of the scalar boson mass.
Acceptance, acceptance times efficiency and b-tag category fraction for a scalar boson produced by b-associated production as a function of the scalar boson mass.
Acceptance and acceptance times efficiency for a heavy gauge boson produced by Drell Yan as a function of the gauge boson mass.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.
Observed and expected 95% CL upper limits on the gluon-gluon fusion Higgs boson production cross section times ditau branching fraction as a function of the boson mass.
A search for pair production of a scalar partner of the top quark in events with four or more jets plus missing transverse momentum is presented. An analysis of 36.1 fb$^{-1}$ of $\sqrt{s}$=13 TeV proton-proton collisions collected using the ATLAS detector at the LHC yields no significant excess over the expected Standard Model background. To interpret the results a simplified supersymmetric model is used where the top squark is assumed to decay via $\tilde{t}_1 \rightarrow t^{(*)} \tilde\chi^0_1$ and $\tilde{t}_1\rightarrow b\tilde\chi^\pm_1 \rightarrow b W^{(*)} \tilde\chi^0_1$, where $\tilde\chi^0_1$ ($\chi^\pm_1$) denotes the lightest neutralino (chargino). Exclusion limits are placed in terms of the top-squark and neutralino masses. Assuming a branching ratio of 100% to $t \tilde\chi^0_1$, top-squark masses in the range 450-950 GeV are excluded for $\tilde\chi^0_1$ masses below 160 GeV. In the case where $m_{\tilde{t}_1}\sim m_t+m_{\tilde\chi^0_1}$, top-squark masses in the range 235-590 GeV are excluded.
Distribution of $E_\text{T}^\text{miss}$ for SRA-TT after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $E_\text{T}^\text{miss}$ for SRA-TT after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $E_\text{T}^\text{miss}$ for SRA-TT after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $E_\text{T}^\text{miss}$ for SRA-TT after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $E_\text{T}^\text{miss}$ for SRA-TT after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $E_\text{T}^\text{miss}$ for SRA-TT after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $E_\text{T}^\text{miss}$ for SRA-TT after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T2}^{\chi^2}$ for SRA-T0 after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T2}^{\chi^2}$ for SRA-T0 after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T2}^{\chi^2}$ for SRA-T0 after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T2}^{\chi^2}$ for SRA-T0 after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T2}^{\chi^2}$ for SRA-T0 after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T2}^{\chi^2}$ for SRA-T0 after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T2}^{\chi^2}$ for SRA-T0 after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T}^{b,\text{max}}$ for SRB-TW after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T}^{b,\text{max}}$ for SRB-TW after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T}^{b,\text{max}}$ for SRB-TW after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T}^{b,\text{max}}$ for SRB-TW after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T}^{b,\text{max}}$ for SRB-TW after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T}^{b,\text{max}}$ for SRB-TW after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T}^{b,\text{max}}$ for SRB-TW after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $R_\text{ISR}$ for SRC1-5 after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $R_\text{ISR}$ for SRC1-5 after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $R_\text{ISR}$ for SRC1-5 after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $R_\text{ISR}$ for SRC1-5 after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $R_\text{ISR}$ for SRC1-5 after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $R_\text{ISR}$ for SRC1-5 after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $R_\text{ISR}$ for SRC1-5 after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T}^{b,\text{max}}$ for SRD-high after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T}^{b,\text{max}}$ for SRD-high after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T}^{b,\text{max}}$ for SRD-high after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T}^{b,\text{max}}$ for SRD-high after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T}^{b,\text{max}}$ for SRD-high after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T}^{b,\text{max}}$ for SRD-high after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $m_\text{T}^{b,\text{max}}$ for SRD-high after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $H_\text{T}$ for SRE after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $H_\text{T}$ for SRE after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $H_\text{T}$ for SRE after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $H_\text{T}$ for SRE after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $H_\text{T}$ for SRE after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $H_\text{T}$ for SRE after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Distribution of $H_\text{T}$ for SRE after the likelihood fit. The stacked histograms show the SM expectation and the hatched uncertainty band around the SM expectation shows the MC statistical and detector-related systematic uncertainties. A representative signal point is shown for each distribution.
Expected (blue solid line) exclusion limits at 95% CL as a function of stop and LSP masses in the scenario where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Expected (blue solid line) exclusion limits at 95% CL as a function of stop and LSP masses in the scenario where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Expected (blue solid line) exclusion limits at 95% CL as a function of stop and LSP masses in the scenario where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Expected (blue solid line) exclusion limits at 95% CL as a function of stop and LSP masses in the scenario where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Expected (blue solid line) exclusion limits at 95% CL as a function of stop and LSP masses in the scenario where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Expected (blue solid line) exclusion limits at 95% CL as a function of stop and LSP masses in the scenario where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Expected (blue solid line) exclusion limits at 95% CL as a function of stop and LSP masses in the scenario where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Observed (red solid line) exclusion limits at 95% CL as a function of stop and LSP masses in the scenario where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Observed (red solid line) exclusion limits at 95% CL as a function of stop and LSP masses in the scenario where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Observed (red solid line) exclusion limits at 95% CL as a function of stop and LSP masses in the scenario where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Observed (red solid line) exclusion limits at 95% CL as a function of stop and LSP masses in the scenario where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Observed (red solid line) exclusion limits at 95% CL as a function of stop and LSP masses in the scenario where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Observed (red solid line) exclusion limits at 95% CL as a function of stop and LSP masses in the scenario where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Observed (red solid line) exclusion limits at 95% CL as a function of stop and LSP masses in the scenario where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses and branching fraction to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ in the Natural SUSY-inspired mixed grid scenario where $m_{\tilde{\chi^{\pm}_{1}}}=m_{\tilde{\chi^{0}_{1}}}$+1 GeV.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small tan$\beta$ assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small tan$\beta$ assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small tan$\beta$ assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small tan$\beta$ assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small tan$\beta$ assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small tan$\beta$ assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small tan$\beta$ assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small tan$\beta$ assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small tan$\beta$ assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small tan$\beta$ assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small tan$\beta$ assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small tan$\beta$ assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small tan$\beta$ assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small tan$\beta$ assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a large tan$\beta$ assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a large tan$\beta$ assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a large tan$\beta$ assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a large tan$\beta$ assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a large tan$\beta$ assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a large tan$\beta$ assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a large tan$\beta$ assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a large tan$\beta$ assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a large tan$\beta$ assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a large tan$\beta$ assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a large tan$\beta$ assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a large tan$\beta$ assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a large tan$\beta$ assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a large tan$\beta$ assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small right-handed top-squark mass parameter assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small right-handed top-squark mass parameter assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small right-handed top-squark mass parameter assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small right-handed top-squark mass parameter assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small right-handed top-squark mass parameter assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small right-handed top-squark mass parameter assumption.
Expected exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small right-handed top-squark mass parameter assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small right-handed top-squark mass parameter assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small right-handed top-squark mass parameter assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small right-handed top-squark mass parameter assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small right-handed top-squark mass parameter assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small right-handed top-squark mass parameter assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small right-handed top-squark mass parameter assumption.
Observed exclusion limits at 95% CL as a function of $m_{\tilde{t}}$ and $m_{\tilde{\chi^{0}_{1}}}$ for the pMSSM-inspired non-asymptotic Higgsino simplified model for a small right-handed top-squark mass parameter assumption.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a negative value of $\mu$.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a negative value of $\mu$.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a negative value of $\mu$.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a negative value of $\mu$.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a negative value of $\mu$.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a negative value of $\mu$.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a negative value of $\mu$.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a negative value of $\mu$.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a negative value of $\mu$.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a negative value of $\mu$.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a negative value of $\mu$.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a negative value of $\mu$.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a negative value of $\mu$.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a negative value of $\mu$.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a positive value of $\mu$.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a positive value of $\mu$.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a positive value of $\mu$.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a positive value of $\mu$.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a positive value of $\mu$.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a positive value of $\mu$.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a positive value of $\mu$.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a positive value of $\mu$.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a positive value of $\mu$.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a positive value of $\mu$.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a positive value of $\mu$.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a positive value of $\mu$.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a positive value of $\mu$.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for the Wino NLSP pMSSM model for a positive value of $\mu$.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the left-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the left-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the left-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the left-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the left-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the left-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the left-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the left-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the left-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the left-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the left-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the left-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the left-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the left-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the right-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the right-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the right-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the right-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the right-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the right-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Expected exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the right-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the right-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the right-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the right-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the right-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the right-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the right-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Observed exclusion limits at 95% CL as a function of $\tilde{t}$ and $\tilde{\chi^{0}_{1}}$ masses for for the right-handed top-squark mass parameter scan in the well-tempered pMSSM model.
Expected exclusion limits at 95% CL exclusion as a function of $\tilde{g}$ and $\tilde{t}$ masses in the scenario where both gluinos decay via $\tilde{g}\to t \tilde{t}\to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Expected exclusion limits at 95% CL exclusion as a function of $\tilde{g}$ and $\tilde{t}$ masses in the scenario where both gluinos decay via $\tilde{g}\to t \tilde{t}\to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Expected exclusion limits at 95% CL exclusion as a function of $\tilde{g}$ and $\tilde{t}$ masses in the scenario where both gluinos decay via $\tilde{g}\to t \tilde{t}\to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Expected exclusion limits at 95% CL exclusion as a function of $\tilde{g}$ and $\tilde{t}$ masses in the scenario where both gluinos decay via $\tilde{g}\to t \tilde{t}\to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Expected exclusion limits at 95% CL exclusion as a function of $\tilde{g}$ and $\tilde{t}$ masses in the scenario where both gluinos decay via $\tilde{g}\to t \tilde{t}\to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Expected exclusion limits at 95% CL exclusion as a function of $\tilde{g}$ and $\tilde{t}$ masses in the scenario where both gluinos decay via $\tilde{g}\to t \tilde{t}\to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Expected exclusion limits at 95% CL exclusion as a function of $\tilde{g}$ and $\tilde{t}$ masses in the scenario where both gluinos decay via $\tilde{g}\to t \tilde{t}\to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Observed exclusion limits at 95% CL exclusion as a function of $\tilde{g}$ and $\tilde{t}$ masses in the scenario where both gluinos decay via $\tilde{g}\to t \tilde{t}\to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Observed exclusion limits at 95% CL exclusion as a function of $\tilde{g}$ and $\tilde{t}$ masses in the scenario where both gluinos decay via $\tilde{g}\to t \tilde{t}\to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Observed exclusion limits at 95% CL exclusion as a function of $\tilde{g}$ and $\tilde{t}$ masses in the scenario where both gluinos decay via $\tilde{g}\to t \tilde{t}\to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Observed exclusion limits at 95% CL exclusion as a function of $\tilde{g}$ and $\tilde{t}$ masses in the scenario where both gluinos decay via $\tilde{g}\to t \tilde{t}\to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Observed exclusion limits at 95% CL exclusion as a function of $\tilde{g}$ and $\tilde{t}$ masses in the scenario where both gluinos decay via $\tilde{g}\to t \tilde{t}\to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Observed exclusion limits at 95% CL exclusion as a function of $\tilde{g}$ and $\tilde{t}$ masses in the scenario where both gluinos decay via $\tilde{g}\to t \tilde{t}\to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Observed exclusion limits at 95% CL exclusion as a function of $\tilde{g}$ and $\tilde{t}$ masses in the scenario where both gluinos decay via $\tilde{g}\to t \tilde{t}\to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Results of the exclusion fits for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ from the combination of SRA, SRB, SRC, SRD and SRE, based on the best expected $CL_s$. The numbers centered on the grid points indicate which of the signal regions gave the best expected $CL_s$ (with 1, 2, 3, 4, 5, 6 corresponding to SRA, SRB, SRC, SRD-low,SR D-high, SRE respectively).
Results of the exclusion fits for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ from the combination of SRA, SRB, SRC, SRD and SRE, based on the best expected $CL_s$. The numbers centered on the grid points indicate which of the signal regions gave the best expected $CL_s$ (with 1, 2, 3, 4, 5, 6 corresponding to SRA, SRB, SRC, SRD-low,SR D-high, SRE respectively).
Results of the exclusion fits for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ from the combination of SRA, SRB, SRC, SRD and SRE, based on the best expected $CL_s$. The numbers centered on the grid points indicate which of the signal regions gave the best expected $CL_s$ (with 1, 2, 3, 4, 5, 6 corresponding to SRA, SRB, SRC, SRD-low,SR D-high, SRE respectively).
Results of the exclusion fits for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ from the combination of SRA, SRB, SRC, SRD and SRE, based on the best expected $CL_s$. The numbers centered on the grid points indicate which of the signal regions gave the best expected $CL_s$ (with 1, 2, 3, 4, 5, 6 corresponding to SRA, SRB, SRC, SRD-low,SR D-high, SRE respectively).
Results of the exclusion fits for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ from the combination of SRA, SRB, SRC, SRD and SRE, based on the best expected $CL_s$. The numbers centered on the grid points indicate which of the signal regions gave the best expected $CL_s$ (with 1, 2, 3, 4, 5, 6 corresponding to SRA, SRB, SRC, SRD-low,SR D-high, SRE respectively).
Results of the exclusion fits for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ from the combination of SRA, SRB, SRC, SRD and SRE, based on the best expected $CL_s$. The numbers centered on the grid points indicate which of the signal regions gave the best expected $CL_s$ (with 1, 2, 3, 4, 5, 6 corresponding to SRA, SRB, SRC, SRD-low,SR D-high, SRE respectively).
Results of the exclusion fits for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ from the combination of SRA, SRB, SRC, SRD and SRE, based on the best expected $CL_s$. The numbers centered on the grid points indicate which of the signal regions gave the best expected $CL_s$ (with 1, 2, 3, 4, 5, 6 corresponding to SRA, SRB, SRC, SRD-low,SR D-high, SRE respectively).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 0%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 0%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 0%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 0%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 0%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 0%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 0%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 25%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 25%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 25%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 25%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 25%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 25%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 25%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 50%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 50%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 50%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 50%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 50%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 50%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 50%. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 0 (top left), 25% (top right), 50% (middle left), 75% middle right) and 100% (bottom). The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 0 (top left), 25% (top right), 50% (middle left), 75% middle right) and 100% (bottom). The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 0 (top left), 25% (top right), 50% (middle left), 75% middle right) and 100% (bottom). The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 0 (top left), 25% (top right), 50% (middle left), 75% middle right) and 100% (bottom). The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 0 (top left), 25% (top right), 50% (middle left), 75% middle right) and 100% (bottom). The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 0 (top left), 25% (top right), 50% (middle left), 75% middle right) and 100% (bottom). The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the grid with two stop decay channels: $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV. The results are shown as a function of the branching ratio to $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$: 0 (top left), 25% (top right), 50% (middle left), 75% middle right) and 100% (bottom). The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRC, SRD-low and SRD-high, The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high, 5: SRC).
Results of the exclusion fits in the wino NLSP grid for negative values of $\mu$. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the wino NLSP grid for negative values of $\mu$. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the wino NLSP grid for negative values of $\mu$. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the wino NLSP grid for negative values of $\mu$. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the wino NLSP grid for negative values of $\mu$. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the wino NLSP grid for negative values of $\mu$. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the wino NLSP grid for negative values of $\mu$. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the wino NLSP grid for positive values of $\mu$. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the wino NLSP grid for positive values of $\mu$. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the wino NLSP grid for positive values of $\mu$. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the wino NLSP grid for positive values of $\mu$. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the wino NLSP grid for positive values of $\mu$. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the wino NLSP grid for positive values of $\mu$. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the wino NLSP grid for positive values of $\mu$. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the well-tempered neutralino grid for the $m_{q3L}$ scenario. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the well-tempered neutralino grid for the $m_{q3L}$ scenario. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the well-tempered neutralino grid for the $m_{q3L}$ scenario. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the well-tempered neutralino grid for the $m_{q3L}$ scenario. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the well-tempered neutralino grid for the $m_{q3L}$ scenario. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the well-tempered neutralino grid for the $m_{q3L}$ scenario. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the well-tempered neutralino grid for the $m_{q3L}$ scenario. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the well-tempered neutralino grid for the $m_{tR}$ scenario. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the well-tempered neutralino grid for the $m_{tR}$ scenario. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the well-tempered neutralino grid for the $m_{tR}$ scenario. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the well-tempered neutralino grid for the $m_{tR}$ scenario. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the well-tempered neutralino grid for the $m_{tR}$ scenario. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the well-tempered neutralino grid for the $m_{tR}$ scenario. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the well-tempered neutralino grid for the $m_{tR}$ scenario. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 4: SRD-low, 5: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenarios with large tan$\beta$ (top left) is shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenarios with large tan$\beta$ (top left) is shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenarios with large tan$\beta$ (top left) is shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenarios with large tan$\beta$ (top left) is shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenarios with large tan$\beta$ (top left) is shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenarios with large tan$\beta$ (top left) is shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenarios with large tan$\beta$ (top left) is shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenarios with small tan$\beta$ are shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenarios with small tan$\beta$ are shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenarios with small tan$\beta$ are shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenarios with small tan$\beta$ are shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenarios with small tan$\beta$ are shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenarios with small tan$\beta$ are shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenarios with small tan$\beta$ are shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenario with a mostly right-handed top squark partner is shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenario with a mostly right-handed top squark partner is shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenario with a mostly right-handed top squark partner is shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenario with a mostly right-handed top squark partner is shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenario with a mostly right-handed top squark partner is shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenario with a mostly right-handed top squark partner is shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Results of the exclusion fits in the non-asymptotic higgsino grid with $m(\tilde{\chi^{\pm}_{1}}) - m(\tilde{\chi^{0}_{1}}) = 5$ GeV. A scenario with a mostly right-handed top squark partner is shown. The results are based on taking the signal region with the best expected $CL_s$, using SRA, SRB, SRD-low and SRD-high, where SRA and SRB are the statistical combinations of their respective regions. The numbers centered on the grid points indicate the signal region used (1: SRA, 2: SRB, 3: SRD-low, 4: SRD-high).
Acceptance for SRA-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRE for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRE for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRE for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRE for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRE for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRE for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRE for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRA-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRB-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC1 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC1 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC1 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC1 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC1 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC1 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC1 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC2 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC2 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC2 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC2 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC2 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC2 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC2 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC3 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC3 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC3 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC3 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC3 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC3 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC3 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC4 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC4 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC4 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC4 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC4 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC4 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC4 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC5 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC5 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC5 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC5 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC5 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC5 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRC5 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Acceptance for SRD-low for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Acceptance for SRD-low for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Acceptance for SRD-low for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Acceptance for SRD-low for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Acceptance for SRD-low for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Acceptance for SRD-low for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Acceptance for SRD-low for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Acceptance for SRD-high for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Acceptance for SRD-high for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Acceptance for SRD-high for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Acceptance for SRD-high for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Acceptance for SRD-high for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Acceptance for SRD-high for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Acceptance for SRD-high for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Acceptance for SRE for gluino pair production in the case where both gluinos decay via $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Acceptance for SRE for gluino pair production in the case where both gluinos decay via $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Acceptance for SRE for gluino pair production in the case where both gluinos decay via $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Acceptance for SRE for gluino pair production in the case where both gluinos decay via $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Acceptance for SRE for gluino pair production in the case where both gluinos decay via $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Acceptance for SRE for gluino pair production in the case where both gluinos decay via $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Acceptance for SRE for gluino pair production in the case where both gluinos decay via $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Efficiencies for SRA-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-TT for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRE for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRE for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRE for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRE for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRE for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRE for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRE for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-TW for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRA-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRB-T0 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC1 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC1 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC1 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC1 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC1 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC1 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC1 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC2 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC2 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC2 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC2 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC2 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC2 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC2 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC3 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC3 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC3 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC3 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC3 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC3 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC3 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC4 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC4 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC4 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC4 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC4 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC4 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC4 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC5 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC5 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC5 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC5 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC5 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC5 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRC5 for top squark pair production in the case where both top squarks decay via $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$.
Efficiencies for SRD-low for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Efficiencies for SRD-low for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Efficiencies for SRD-low for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Efficiencies for SRD-low for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Efficiencies for SRD-low for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Efficiencies for SRD-low for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Efficiencies for SRD-low for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Efficiencies for SRD-high for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Efficiencies for SRD-high for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Efficiencies for SRD-high for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Efficiencies for SRD-high for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Efficiencies for SRD-high for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Efficiencies for SRD-high for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Efficiencies for SRD-high for the natural SUSY-inspired mixed grid in which two decay modes are considered, the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ and $\tilde{t}\to b \tilde{\chi^{\pm}_{1}} \to b W^{(*)} \tilde{\chi^{0}_{1}}$, with $m(\tilde{\chi^{\pm}_{1}})-m(\tilde{\chi^{0}_{1}}) = 1$ GeV.
Efficiencies for SRE for gluino pair production in the case where both gluinos decay via $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Efficiencies for SRE for gluino pair production in the case where both gluinos decay via $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Efficiencies for SRE for gluino pair production in the case where both gluinos decay via $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Efficiencies for SRE for gluino pair production in the case where both gluinos decay via $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Efficiencies for SRE for gluino pair production in the case where both gluinos decay via $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Efficiencies for SRE for gluino pair production in the case where both gluinos decay via $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Efficiencies for SRE for gluino pair production in the case where both gluinos decay via $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft and $\Delta m(\tilde{t},\tilde{\chi^{0}_{1}})=5$ GeV.
Upper limit cross-section, in femtobarn, for the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ grid.
Upper limit cross-section, in femtobarn, for the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ grid.
Upper limit cross-section, in femtobarn, for the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ grid.
Upper limit cross-section, in femtobarn, for the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ grid.
Upper limit cross-section, in femtobarn, for the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ grid.
Upper limit cross-section, in femtobarn, for the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ grid.
Upper limit cross-section, in femtobarn, for the $\tilde{t}\to t^{(*)} \tilde{\chi^{0}_{1}}$ grid.
Upper limit cross-section, in femtobarn, for the $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft grid.
Upper limit cross-section, in femtobarn, for the $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft grid.
Upper limit cross-section, in femtobarn, for the $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft grid.
Upper limit cross-section, in femtobarn, for the $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft grid.
Upper limit cross-section, in femtobarn, for the $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft grid.
Upper limit cross-section, in femtobarn, for the $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft grid.
Upper limit cross-section, in femtobarn, for the $\tilde{g}\to t \tilde{t} \to t\tilde{\chi^{0}_{1}}+$soft grid.
Cutflow for SRA for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (800,1) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRA for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (800,1) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRA for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (800,1) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRA for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (800,1) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRA for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (800,1) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRA for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (800,1) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRA for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (800,1) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow SRB for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (600,300) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow SRB for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (600,300) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow SRB for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (600,300) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow SRB for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (600,300) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow SRB for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (600,300) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow SRB for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (600,300) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow SRB for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (600,300) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRC1 and SRC2 for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (250,77) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRC1 and SRC2 for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (250,77) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRC1 and SRC2 for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (250,77) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRC1 and SRC2 for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (250,77) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRC1 and SRC2 for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (250,77) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRC1 and SRC2 for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (250,77) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRC1 and SRC2 for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (250,77) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRC3, SRC4, and SRC5 for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (500,327) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRC3, SRC4, and SRC5 for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (500,327) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRC3, SRC4, and SRC5 for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (500,327) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRC3, SRC4, and SRC5 for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (500,327) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRC3, SRC4, and SRC5 for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (500,327) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRC3, SRC4, and SRC5 for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (500,327) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRC3, SRC4, and SRC5 for a signal model with top squark pair production in the case where both top squarks decay via $\tilde{t}_1\to t^{(*)} \tilde\chi^0_1$ with $m(\tilde{t}_1,\tilde\chi^0_1)=$ (500,327) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRD-high for a signal model with bottom squark pair production in the case where both bottom squarks decay via $b\tilde\chi^{\pm}_1\to bW^{(*)} \tilde\chi^0_1$, with $m(\tilde\chi^{\pm}_1)-m(\tilde\chi^0_1) = 1$ GeV with $m(\tilde{t}_1,\tilde\chi^{\pm}_1)=$ (800,100) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRD-high for a signal model with bottom squark pair production in the case where both bottom squarks decay via $b\tilde\chi^{\pm}_1\to bW^{(*)} \tilde\chi^0_1$, with $m(\tilde\chi^{\pm}_1)-m(\tilde\chi^0_1) = 1$ GeV with $m(\tilde{b}_1,\tilde\chi^{\pm}_1)=$ (750,200) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRD-high for a signal model with bottom squark pair production in the case where both bottom squarks decay via $b\tilde\chi^{\pm}_1\to bW^{(*)} \tilde\chi^0_1$, with $m(\tilde\chi^{\pm}_1)-m(\tilde\chi^0_1) = 1$ GeV with $m(\tilde{b}_1,\tilde\chi^{\pm}_1)=$ (750,200) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRD-high for a signal model with bottom squark pair production in the case where both bottom squarks decay via $b\tilde\chi^{\pm}_1\to bW^{(*)} \tilde\chi^0_1$, with $m(\tilde\chi^{\pm}_1)-m(\tilde\chi^0_1) = 1$ GeV with $m(\tilde{b}_1,\tilde\chi^{\pm}_1)=$ (750,200) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRD-high for a signal model with bottom squark pair production in the case where both bottom squarks decay via $b\tilde\chi^{\pm}_1\to bW^{(*)} \tilde\chi^0_1$, with $m(\tilde\chi^{\pm}_1)-m(\tilde\chi^0_1) = 1$ GeV with $m(\tilde{b}_1,\tilde\chi^{\pm}_1)=$ (800,100) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRD-high for a signal model with bottom squark pair production in the case where both bottom squarks decay via $b\tilde\chi^{\pm}_1\to bW^{(*)} \tilde\chi^0_1$, with $m(\tilde\chi^{\pm}_1)-m(\tilde\chi^0_1) = 1$ GeV with $m(\tilde{b}_1,\tilde\chi^{\pm}_1)=$ (750,200) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRD-high for a signal model with bottom squark pair production in the case where both bottom squarks decay via $b\tilde\chi^{\pm}_1\to bW^{(*)} \tilde\chi^0_1$, with $m(\tilde\chi^{\pm}_1)-m(\tilde\chi^0_1) = 1$ GeV with $m(\tilde{b}_1,\tilde\chi^{\pm}_1)=$ (750,200) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRD-low for a signal model with bottom squark pair production in the case where both bottom squarks decay via $b\tilde\chi^{\pm}_1\to bW^{(*)} \tilde\chi^0_1$, with $m(\tilde\chi^{\pm}_1)-m(\tilde\chi^0_1) = 1$ GeV witht $m(\tilde{t}_1,\tilde\chi^{\pm}_1)=$ (600,200) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRD-low for a signal model with bottom squark pair production in the case where both bottom squarks decay via $b\tilde\chi^{\pm}_1\to bW^{(*)} \tilde\chi^0_1$, with $m(\tilde\chi^{\pm}_1)-m(\tilde\chi^0_1) = 1$ GeV witht $m(\tilde{b}_1,\tilde\chi^{\pm}_1)=$ (400,200) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRD-low for a signal model with bottom squark pair production in the case where both bottom squarks decay via $b\tilde\chi^{\pm}_1\to bW^{(*)} \tilde\chi^0_1$, with $m(\tilde\chi^{\pm}_1)-m(\tilde\chi^0_1) = 1$ GeV witht $m(\tilde{b}_1,\tilde\chi^{\pm}_1)=$ (400,200) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRD-low for a signal model with bottom squark pair production in the case where both bottom squarks decay via $b\tilde\chi^{\pm}_1\to bW^{(*)} \tilde\chi^0_1$, with $m(\tilde\chi^{\pm}_1)-m(\tilde\chi^0_1) = 1$ GeV witht $m(\tilde{b}_1,\tilde\chi^{\pm}_1)=$ (400,200) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRD-low for a signal model with bottom squark pair production in the case where both bottom squarks decay via $b\tilde\chi^{\pm}_1\to bW^{(*)} \tilde\chi^0_1$, with $m(\tilde\chi^{\pm}_1)-m(\tilde\chi^0_1) = 1$ GeV witht $m(\tilde{b}_1,\tilde\chi^{\pm}_1)=$ (600,200) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRD-low for a signal model with bottom squark pair production in the case where both bottom squarks decay via $b\tilde\chi^{\pm}_1\to bW^{(*)} \tilde\chi^0_1$, with $m(\tilde\chi^{\pm}_1)-m(\tilde\chi^0_1) = 1$ GeV witht $m(\tilde{b}_1,\tilde\chi^{\pm}_1)=$ (400,200) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRD-low for a signal model with bottom squark pair production in the case where both bottom squarks decay via $b\tilde\chi^{\pm}_1\to bW^{(*)} \tilde\chi^0_1$, with $m(\tilde\chi^{\pm}_1)-m(\tilde\chi^0_1) = 1$ GeV witht $m(\tilde{b}_1,\tilde\chi^{\pm}_1)=$ (400,200) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRE for a signal model with gluino pair production in the case where both gluinos decay via $\tilde{g}\to t\tilde{t}_1\to t\tilde\chi^0_1+$soft and $\Delta m(\tilde{t}_1, \tilde\chi^0_1)=5$ GeV with $m(\tilde{g},\tilde{t}_1)=$ (1700,400) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRE for a signal model with gluino pair production in the case where both gluinos decay via $\tilde{g}\to t\tilde{t}_1\to t\tilde\chi^0_1+$soft and $\Delta m(\tilde{t}_1, \tilde\chi^0_1)=5$ GeV with $m(\tilde{g},\tilde{t}_1)=$ (1700,400) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRE for a signal model with gluino pair production in the case where both gluinos decay via $\tilde{g}\to t\tilde{t}_1\to t\tilde\chi^0_1+$soft and $\Delta m(\tilde{t}_1, \tilde\chi^0_1)=5$ GeV with $m(\tilde{g},\tilde{t}_1)=$ (1700,400) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRE for a signal model with gluino pair production in the case where both gluinos decay via $\tilde{g}\to t\tilde{t}_1\to t\tilde\chi^0_1+$soft and $\Delta m(\tilde{t}_1, \tilde\chi^0_1)=5$ GeV with $m(\tilde{g},\tilde{t}_1)=$ (1700,400) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRE for a signal model with gluino pair production in the case where both gluinos decay via $\tilde{g}\to t\tilde{t}_1\to t\tilde\chi^0_1+$soft and $\Delta m(\tilde{t}_1, \tilde\chi^0_1)=5$ GeV with $m(\tilde{g},\tilde{t}_1)=$ (1700,400) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRE for a signal model with gluino pair production in the case where both gluinos decay via $\tilde{g}\to t\tilde{t}_1\to t\tilde\chi^0_1+$soft and $\Delta m(\tilde{t}_1, \tilde\chi^0_1)=5$ GeV with $m(\tilde{g},\tilde{t}_1)=$ (1700,400) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
Cutflow for SRE for a signal model with gluino pair production in the case where both gluinos decay via $\tilde{g}\to t\tilde{t}_1\to t\tilde\chi^0_1+$soft and $\Delta m(\tilde{t}_1, \tilde\chi^0_1)=5$ GeV with $m(\tilde{g},\tilde{t}_1)=$ (1700,400) GeV. An integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ is assumed when calculating the weighted yields. For the derivation skim at least one of the following four criteria is required: $H_{\mathrm{T}}$ $>$ 150 GeV; at least one loose electron with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two loose electrons with $p_{\mathrm{T}}$ $>$ 20 GeV; at least one muon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two muons with $p_{\mathrm{T}}$ $>$ 20 GeV; or at least one photon with $p_{\mathrm{T}}$ $>$ 100 GeV or at least two photons with $p_{\mathrm{T}}$ $>$ 50 GeV.
A search for a heavy charged-boson resonance decaying into a charged lepton (electron or muon) and a neutrino is reported. A data sample of 139 fb$^{-1}$ of proton-proton collisions at $\sqrt{s} = 13$ TeV collected with the ATLAS detector at the LHC during 2015-2018 is used in the search. The observed transverse mass distribution computed from the lepton and missing transverse momenta is consistent with the distribution expected from the Standard Model, and upper limits on the cross section for $pp \to W^\prime \to \ell\nu$ are extracted ($\ell = e$ or $\mu$). These vary between 1.3 pb and 0.05 fb depending on the resonance mass in the range between 0.15 and 7.0 TeV at 95% confidence level for the electron and muon channels combined. Gauge bosons with a mass below 6.0 TeV and 5.1 TeV are excluded in the electron and muon channels, respectively, in a model with a resonance that has couplings to fermions identical to those of the Standard Model $W$ boson. Cross-section limits are also provided for resonances with several fixed $\Gamma / m$ values in the range between 1% and 15%. Model-independent limits are derived in single-bin signal regions defined by a varying minimum transverse mass threshold. The resulting visible cross-section upper limits range between 4.6 (15) pb and 22 (22) ab as the threshold increases from 130 (110) GeV to 5.1 (5.1) TeV in the electron (muon) channel.
Transverse mass distribution for events satisfying all selection criteria in the electron channel.
Transverse mass distribution for events satisfying all selection criteria in the muon channel.
Upper limits at the 95% CL on the cross section for SSM $W^\prime$ production and decay to the electron+neutrino channel as a function of the $W^\prime$ pole mass.
Upper limits at the 95% CL on the cross section for SSM $W^\prime$ production and decay to the muon+neutrino channel as a function of the $W^\prime$ pole mass.
Combined (electron and muon channels) upper limits at the 95% CL on the cross section for SSM $W^\prime$ production and decay to a single lepton generation as a function of the $W^\prime$ pole mass.
Observed upper limits at the 95% CL on the cross section for generic $W^\prime$ production and decay to the electron+neutrino channel as a function of the $W^\prime$ pole mass.
Observed upper limits at the 95% CL on the cross section for generic $W^\prime$ production and decay to the muon+neutrino channel as a function of the $W^\prime$ pole mass.
Combined (electron and muon channels) observed upper limits at the 95% CL on the cross section for generic $W^\prime$ production and decay to a single lepton generation as a function of the $W^\prime$ pole mass.
Observed upper limits at the 95% CL on the visible cross section in the electron+neutrino channel as a function of the transverse mass threshold.
Observed upper limits at the 95% CL on the visible cross section in the muon+neutrino channel as a function of the transverse mass threshold.
Product of acceptance and efficiency for the electron and muon selections as a function of the $W^\prime$ pole mass.
Expected upper limits at the 95% CL on the cross section for generic $W^\prime$ production and decay to the electron+neutrino channel as a function of the $W^\prime$ pole mass.
Expected upper limits at the 95% CL on the cross section for generic $W^\prime$ production and decay to the muon+neutrino channel as a function of the $W^\prime$ pole mass.
Combined (electron and muon channels) expected upper limits at the 95% CL on the cross section for generic $W^\prime$ production and decay to a single lepton generation as a function of the $W^\prime$ pole mass.
A search for new-physics resonances decaying into a lepton and a jet performed by the ATLAS experiment is presented. Scalar leptoquarks pair-produced in $pp$ collisions at $\sqrt{s}=13$ TeV at the Large Hadron Collider are considered using an integrated luminosity of 139 fb$^{-1}$, corresponding to the full Run 2 dataset. They are searched for in events with two electrons or two muons and two or more jets, including jets identified as arising from the fragmentation of $c$- or $b$-quarks. The observed yield in each channel is consistent with the Standard Model background expectation. Leptoquarks with masses below 1.8 TeV and 1.7 TeV are excluded in the electron and muon channels, respectively, assuming a branching ratio into a charged lepton and a quark of 100%, with minimal dependence on the quark flavour. Upper limits on the aforementioned branching ratio are also given as a function of the leptoquark mass.
A search is presented for new phenomena in events characterised by high jet multiplicity, no leptons (electrons or muons), and four or more jets originating from the fragmentation of $b$-quarks ($b$-jets). The search uses 139 fb$^{-1}$ of $\sqrt{s}$ = 13 TeV proton-proton collision data collected by the ATLAS experiment at the Large Hadron Collider during Run 2. The dominant Standard Model background originates from multijet production and is estimated using a data-driven technique based on an extrapolation from events with low $b$-jet multiplicity to the high $b$-jet multiplicities used in the search. No significant excess over the Standard Model expectation is observed and 95% confidence-level limits that constrain simplified models of R-parity-violating supersymmetry are determined. The exclusion limits reach 950 GeV in top-squark mass in the models considered.
A search for supersymmetry through the pair production of electroweakinos with mass splittings near the electroweak scale and decaying via on-shell $W$ and $Z$ bosons is presented for a three-lepton final state. The analyzed proton-proton collision data taken at a center-of-mass energy of $\sqrt{s}$ = 13 TeV were collected between 2015 and 2018 by the ATLAS experiment at the Large Hadron Collider, corresponding to an integrated luminosity of 139 fb$^{-1}$. A search, emulating the recursive jigsaw reconstruction technique with easily reproducible laboratory-frame variables, is performed. The two excesses observed in the 2015-2016 data recursive jigsaw analysis in the low-mass three-lepton phase space are reproduced. Results with the full dataset are in agreement with the Standard Model expectations. They are interpreted to set exclusion limits at 95% confidence level on simplified models of chargino-neutralino pair production for masses up to 345 GeV.
Distributions in SR-low of the data and post-fit background prediction for m<sub>T</sub>. The SR-low event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Distributions in SR-low of the data and post-fit background prediction for m<sub>T</sub>. The SR-low event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Distributions in SR-low of the data and post-fit background prediction for H<sup>boost</sup>. The SR-low event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Distributions in SR-low of the data and post-fit background prediction for H<sup>boost</sup>. The SR-low event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Distributions in SR-low of the data and post-fit background prediction for m<sub>eff</sub><sup>3ℓ</sup>/H<sup>boost</sup>. The SR-low event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Distributions in SR-low of the data and post-fit background prediction for m<sub>eff</sub><sup>3ℓ</sup>/H<sup>boost</sup>. The SR-low event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Distributions in SR-low of the data and post-fit background prediction for p<sub>T</sub><sup>soft</sup>/(p<sub>T</sub><sup>soft</sup> + m<sub>eff</sub><sup>3ℓ</sup>). The SR-low event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Distributions in SR-low of the data and post-fit background prediction for p<sub>T</sub><sup>soft</sup>/(p<sub>T</sub><sup>soft</sup> + m<sub>eff</sub><sup>3ℓ</sup>). The SR-low event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Distributions in SR-ISR of the data and post-fit background prediction for m<sub>T</sub>. The SR-ISR event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Distributions in SR-ISR of the data and post-fit background prediction for m<sub>T</sub>. The SR-ISR event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Distributions in SR-ISR of the data and post-fit background prediction for R(E<sub>T</sub><sup>miss</sup>,jets). The SR-ISR event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Distributions in SR-ISR of the data and post-fit background prediction for R(E<sub>T</sub><sup>miss</sup>,jets). The SR-ISR event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Distributions in SR-ISR of the data and post-fit background prediction for p<sub>T</sub><sup>soft</sup>. The SR-ISR event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Distributions in SR-ISR of the data and post-fit background prediction for p<sub>T</sub><sup>soft</sup>. The SR-ISR event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Distributions in SR-ISR of the data and post-fit background prediction for p<sub>T</sub><sup>jets</sup>. The SR-ISR event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Distributions in SR-ISR of the data and post-fit background prediction for p<sub>T</sub><sup>jets</sup>. The SR-ISR event selections are applied for each distribution except for the variable shown, where the selection is indicated by a red arrow. The normalization factor for the WZ background is derived from the background-only estimation described in Section 7. The expected distribution for a benchmark signal model is included for comparison. The first (last) bin includes underflow (overflow). The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. The bottom panel shows the ratio of the data to the post-fit background prediction. The hatched bands indicate the combined theoretical, experimental, and MC statistical uncertainties.
Observed exclusion contour on C1N2 production assuming on-shell $W/Z$ decays as a function of the C1/N2 and N1 masses, and derived from the combined fit of low-mass and ISR regions.
Observed exclusion contour on C1N2 production assuming on-shell $W/Z$ decays as a function of the C1/N2 and N1 masses, and derived from the combined fit of low-mass and ISR regions.
Expected exclusion contour on C1N2 production assuming on-shell $W/Z$ decays as a function of the C1/N2 and N1 masses, and derived from the combined fit of low-mass and ISR regions.
Expected exclusion contour on C1N2 production assuming on-shell $W/Z$ decays as a function of the C1/N2 and N1 masses, and derived from the combined fit of low-mass and ISR regions.
Plus 1$\sigma$ uncertainty, varying the signal cross section within its uncertainty, on the observed exclusion contour on C1N2 production assuming on-shell $W/Z$ decays as a function of the C1/N2 and N1 masses, and derived from the combined fit of low-mass and ISR regions.
Plus 1$\sigma$ uncertainty, varying the signal cross section within its uncertainty, on the observed exclusion contour on C1N2 production assuming on-shell $W/Z$ decays as a function of the C1/N2 and N1 masses, and derived from the combined fit of low-mass and ISR regions.
Minus 1$\sigma$ uncertainty, varying the signal cross section within its uncertainty, on the observed exclusion contour on C1N2 production assuming on-shell $W/Z$ decays as a function of the C1/N2 and N1 masses, and derived from the combined fit of low-mass and ISR regions.
Minus 1$\sigma$ uncertainty, varying the signal cross section within its uncertainty, on the observed exclusion contour on C1N2 production assuming on-shell $W/Z$ decays as a function of the C1/N2 and N1 masses, and derived from the combined fit of low-mass and ISR regions.
Plus 1$\sigma$ uncertainty, due to uncertainties in the background prediction and experimental uncertainties affecting the signal, on the expected exclusion contour on C1N2 production assuming on-shell $W/Z$ decays as a function of the C1/N2 and N1 masses, and derived from the combined fit of low-mass and ISR regions.
Plus 1$\sigma$ uncertainty, due to uncertainties in the background prediction and experimental uncertainties affecting the signal, on the expected exclusion contour on C1N2 production assuming on-shell $W/Z$ decays as a function of the C1/N2 and N1 masses, and derived from the combined fit of low-mass and ISR regions.
Minus 1$\sigma$ uncertainty, due to uncertainties in the background prediction and experimental uncertainties affecting the signal, on the expected exclusion contour on C1N2 production assuming on-shell $W/Z$ decays as a function of the C1/N2 and N1 masses, and derived from the combined fit of low-mass and ISR regions.
Minus 1$\sigma$ uncertainty, due to uncertainties in the background prediction and experimental uncertainties affecting the signal, on the expected exclusion contour on C1N2 production assuming on-shell $W/Z$ decays as a function of the C1/N2 and N1 masses, and derived from the combined fit of low-mass and ISR regions.
Upper limits on observed wino-bino simplified model signal cross section $\sigma_\text{obs}^\text{95}$.
Upper limits on observed wino-bino simplified model signal cross section $\sigma_\text{obs}^\text{95}$.
Upper limits on expected wino-bino simplified model signal cross section $\sigma_\text{exp}^\text{95}$.
Upper limits on expected wino-bino simplified model signal cross section $\sigma_\text{exp}^\text{95}$.
Signal acceptance in SR-low, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} \geq 100$ GeV.
Signal acceptance in SR-low, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} \geq 100$ GeV.
Signal efficiency in SR-low, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} \geq 100$ GeV.
Signal efficiency in SR-low, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} \geq 100$ GeV.
Signal acceptance in SR-ISR, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} \geq 100$ GeV.
Signal acceptance in SR-ISR, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} \geq 100$ GeV.
Signal efficiency in SR-ISR, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} \geq 100$ GeV.
Signal efficiency in SR-ISR, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} \geq 100$ GeV.
Signal acceptance in SR-low, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} < 100$ GeV.
Signal acceptance in SR-low, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} < 100$ GeV.
Signal efficiency in SR-low, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} < 100$ GeV.
Signal efficiency in SR-low, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} < 100$ GeV.
Signal acceptance in SR-ISR, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} < 100$ GeV.
Signal acceptance in SR-ISR, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} < 100$ GeV.
Signal efficiency in SR-ISR, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} < 100$ GeV.
Signal efficiency in SR-ISR, for signals with $m(\widetilde{\chi}^{\pm}_{1}/\widetilde{\chi}^{0}_{2}) - m\widetilde{\chi}^{0}_{1} < 100$ GeV.
The observed and expected yields after the background-only fit in the SRs. The normalization factors of the $WZ$ sample for the low-mass and ISR regions are different and are treated separately in the combined fit. \The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. Combined statistical and systematic uncertainties are presented. The individual uncertainties can be correlated and do not necessarily add in quadrature to equal the total background uncertainty.
The observed and expected yields after the background-only fit in the SRs. The normalization factors of the $WZ$ sample for the low-mass and ISR regions are different and are treated separately in the combined fit. \The "Top-quark like" category contains the tt̄, Wt, and WW processes while the "Others" category contains backgrounds from triboson production and processes that include a Higgs boson, 3 or more tops, and tops produced in association with W or Z bosons. Combined statistical and systematic uncertainties are presented. The individual uncertainties can be correlated and do not necessarily add in quadrature to equal the total background uncertainty.
Summary of the expected background and data yields in $\text{SR-low}$ and $\text{SR-ISR}$. The second and third columns show the data and total expected background with systematic uncertainties. The fourth column gives the model-independent upper limits at 95\% CL on the visible cross section ($\sigma_\text{vis}$). The fifth and sixth columns give the visible number of observed ($S^{95}_\text{obs}$) and expected ($S^{95}_\text{exp}$) events of a generic beyond-the-SM process, where uncertainties on $S^{95}_\text{exp}$ reflect the $\pm 1 \sigma$ uncertainties on the background estimation. The last column shows the discovery $p$-value and Gaussian significance $Z$ assuming no signal.
Summary of the expected background and data yields in $\text{SR-low}$ and $\text{SR-ISR}$. The second and third columns show the data and total expected background with systematic uncertainties. The fourth column gives the model-independent upper limits at 95\% CL on the visible cross section ($\sigma_\text{vis}$). The fifth and sixth columns give the visible number of observed ($S^{95}_\text{obs}$) and expected ($S^{95}_\text{exp}$) events of a generic beyond-the-SM process, where uncertainties on $S^{95}_\text{exp}$ reflect the $\pm 1 \sigma$ uncertainties on the background estimation. The last column shows the discovery $p$-value and Gaussian significance $Z$ assuming no signal.
Upper limits on observed (expected) wino-bino simplified model signal cross section $\sigma_\text{obs(exp)}^\text{95}$.
Upper limits on observed (expected) wino-bino simplified model signal cross section $\sigma_\text{obs(exp)}^\text{95}$.
Full list of event selections and MC generator-weighted yields and in $\text{SR-ISR}$ for the main $WZ$ background and a representative $\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2}$ signal point of mass 200 GeV and mass splitting $\Delta m = 100$ GeV normalized to 139 fb$^{-1}$. 40000 events were generated.
Full list of event selections and MC generator-weighted yields and in $\text{SR-ISR}$ for the main $WZ$ background and a representative $\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2}$ signal point of mass 200 GeV and mass splitting $\Delta m = 100$ GeV normalized to 139 fb$^{-1}$. 40000 events were generated.
Full list of event selections and MC generator-weighted yields and in $\text{SR-low}$ for the main $WZ$ background and a representative $\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2}$ signal point of mass 200 GeV and mass splitting $\Delta m = 100$ GeV normalized to 139 fb$^{-1}$. 40000 events were generated.
Full list of event selections and MC generator-weighted yields and in $\text{SR-low}$ for the main $WZ$ background and a representative $\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2}$ signal point of mass 200 GeV and mass splitting $\Delta m = 100$ GeV normalized to 139 fb$^{-1}$. 40000 events were generated.
A search for the direct production of the supersymmetric partners of $\tau$-leptons (staus) in final states with two hadronically decaying $\tau$-leptons is presented. The analysis uses a dataset of $pp$ collisions corresponding to an integrated luminosity of $139$ fb$^{-1}$, recorded with the ATLAS detector at the Large Hadron Collider at a center-of-mass energy of 13 TeV. No significant deviation from the expected Standard Model background is observed. Limits are derived in scenarios of direct production of stau pairs with each stau decaying into the stable lightest neutralino and one $\tau$-lepton in simplified models where the two stau mass eigenstates are degenerate. Stau masses from 120 GeV to 390 GeV are excluded at 95% confidence level for a massless lightest neutralino.
The observed upper limits on the model cross-section in units of pb for simplified models with combined ${\tilde{\tau}}^{+}_{R,L} {\tilde{\tau}}^{-}_{R,L}$ production. Three points at ${M({\tilde{\chi}}^{0}_{1})}=200GeV$ were removed from the plot but kept in the table because they overlapped with the plot's legend and are far from the exclusion contour.
The observed upper limits on the model cross-section in units of pb for simplified models with combined ${\tilde{\tau}}^{+}_{R,L} {\tilde{\tau}}^{-}_{R,L}$ production. Three points at ${M({\tilde{\chi}}^{0}_{1})}=200GeV$ were removed from the plot but kept in the table because they overlapped with the plot's legend and are far from the exclusion contour.
The observed upper limits on the model cross-section in units of pb for simplified models with ${\tilde{\tau}}_L {\tilde{\tau}}_L$ only production. Three points at $M({\tilde{\chi}}^{0}_{1})=200GeV$ were removed from the plot but kept in the table because they overlapped with the plot's legend and are far from the exclusion contour.
The observed upper limits on the model cross-section in units of pb for simplified models with ${\tilde{\tau}}_L {\tilde{\tau}}_L$ only production. Three points at $M({\tilde{\chi}}^{0}_{1})=200GeV$ were removed from the plot but kept in the table because they overlapped with the plot's legend and are far from the exclusion contour.
The observed 95\% CL exclusion contours for the combined fit of SR-lowMass and SR-highMass for simplified models with combined ${\tilde{\tau}}^{+}_{R,L} {\tilde{\tau}}^{-}_{R,L}$ production.
The observed 95\% CL exclusion contours for the combined fit of SR-lowMass and SR-highMass for simplified models with combined ${\tilde{\tau}}^{+}_{R,L} {\tilde{\tau}}^{-}_{R,L}$ production.
The expected 95% CL exclusion contours for the combined fit of SR-lowMass and SR-highMass for simplified models with combined ${\tilde{\tau}}^{+}_{R,L} {\tilde{\tau}}^{-}_{R,L}$ production.
The expected 95% CL exclusion contours for the combined fit of SR-lowMass and SR-highMass for simplified models with combined ${\tilde{\tau}}^{+}_{R,L} {\tilde{\tau}}^{-}_{R,L}$ production.
The observed 95% CL exclusion contours for the combined fit of SR-lowMass and SR-highMass for simplified models with ${\tilde{\tau}}_L {\tilde{\tau}}_L$ only production.
The observed 95% CL exclusion contours for the combined fit of SR-lowMass and SR-highMass for simplified models with ${\tilde{\tau}}_L {\tilde{\tau}}_L$ only production.
The expected 95% CL exclusion contours for the combined fit of SR-lowMass and SR-highMass for simplified models with ${\tilde{\tau}}_L {\tilde{\tau}}_L$ only production.
The expected 95% CL exclusion contours for the combined fit of SR-lowMass and SR-highMass for simplified models with ${\tilde{\tau}}_L {\tilde{\tau}}_L$ only production.
Observed 95% CL exclusion limits for simplified models with direct stau pair production in SR-lowMass.
Observed 95% CL exclusion limits for simplified models with direct stau pair production in SR-lowMass.
Expected 95% CL exclusion limits for simplified models with direct stau pair production in SR-lowMass.
Expected 95% CL exclusion limits for simplified models with direct stau pair production in SR-lowMass.
Observed 95% CL exclusion limits for simplified models with direct stau pair production in SR-highMass.
Observed 95% CL exclusion limits for simplified models with direct stau pair production in SR-highMass.
Expected 95% CL exclusion limits for simplified models with direct stau pair production in SR-highMass.
Expected 95% CL exclusion limits for simplified models with direct stau pair production in SR-highMass.
Signal acceptance in SR highMass for combined stau final states
Signal acceptance in SR highMass for combined stau final states
Signal acceptance in SR lowMass for combined stau final states
Signal acceptance in SR lowMass for combined stau final states
Signal efficiency in SR highMass for combined stau final states
Signal efficiency in SR highMass for combined stau final states
Signal efficiency in SR lowMass for combined stau final states
Signal efficiency in SR lowMass for combined stau final states
Signal acceptance*efficiency in SR highMass for combined stau final states
Signal acceptance*efficiency in SR highMass for combined stau final states
Signal acceptance*efficiency in SR lowMass for combined stau final states
Signal acceptance*efficiency in SR lowMass for combined stau final states
Cutflow for two reference points (${\tilde{\tau}}^{+}_{R,L} {\tilde{\tau}}^{-}_{R,L}$ production) in SR. The column labelled $N_{weighted}$ shows the results including all correction factors applied to simulation, and is normalised to 139 fb$^{-1}$, while $N_{raw}$ in brackets shows the results for the generated number of events. The quoted uncertainties are statistical only. The "Generator filter" includes the requirements that two $\tau$ in the event have ${p}_{T} > 15$ GeV and $|\eta| <$ 2.6. The "Baseline Cut" includes the requirement of two baseline $\tau$ with a minimum value at 0.01 of the boosted decision tree discriminant (JetBDTSigTransMin $>$ 0.01) and ${p}_{T, \tau_{1}} > 50$ GeV and ${p}_{T, \tau_{2}} > 40$ GeV. At the step "Trigger & offline cuts", the following requirements are applied: the event is recorded using the asymmetric di-$\tau$ trigger (di-$\tau$ $E_{T}^{miss}$ trigger) in SR-lowMass (SR-highMass), and the lepton $p_{T}$ and $E_{T}^{miss}$ are required at plateau.
Cutflow for two reference points (${\tilde{\tau}}^{+}_{R,L} {\tilde{\tau}}^{-}_{R,L}$ production) in SR. The column labelled $N_{weighted}$ shows the results including all correction factors applied to simulation, and is normalised to 139 fb$^{-1}$, while $N_{raw}$ in brackets shows the results for the generated number of events. The quoted uncertainties are statistical only. The "Generator filter" includes the requirements that two $\tau$ in the event have ${p}_{T} > 15$ GeV and $|\eta| <$ 2.6. The "Baseline Cut" includes the requirement of two baseline $\tau$ with a minimum value at 0.01 of the boosted decision tree discriminant (JetBDTSigTransMin $>$ 0.01) and ${p}_{T, \tau_{1}} > 50$ GeV and ${p}_{T, \tau_{2}} > 40$ GeV. At the step "Trigger & offline cuts", the following requirements are applied: the event is recorded using the asymmetric di-$\tau$ trigger (di-$\tau$ $E_{T}^{miss}$ trigger) in SR-lowMass (SR-highMass), and the lepton $p_{T}$ and $E_{T}^{miss}$ are required at plateau.
Observed and expected numbers of events in the control and signal regions where all control and signal region bins are included as constraints in the likelihood. The expected event yields of SM processes are given after the background-only fit. The entries marked as "--" are negligible. The uncertainties correspond to the sum in quadrature of statistical and systematic uncertainties. The correlation of systematic uncertainties among control regions and among background processes is fully taken into account.
Observed and expected numbers of events in the control and signal regions where all control and signal region bins are included as constraints in the likelihood. The expected event yields of SM processes are given after the background-only fit. The entries marked as "--" are negligible. The uncertainties correspond to the sum in quadrature of statistical and systematic uncertainties. The correlation of systematic uncertainties among control regions and among background processes is fully taken into account.
The post-fit $m_{T2}$ distribution for SR-lowMass. The stacked histograms show the expected SM backgrounds. The multi-jet contribution is estimated from data using the ABCD method. The contributions of multi-jet and $W$+jets events are scaled with the corresponding normalization factors derived from the background-only fit. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. For illustration, the distributions from the SUSY reference points are also shown as dashed lines. The last bin includes the overflow events.
The post-fit $m_{T2}$ distribution for SR-lowMass. The stacked histograms show the expected SM backgrounds. The multi-jet contribution is estimated from data using the ABCD method. The contributions of multi-jet and $W$+jets events are scaled with the corresponding normalization factors derived from the background-only fit. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. For illustration, the distributions from the SUSY reference points are also shown as dashed lines. The last bin includes the overflow events.
The post-fit $m_{T2}$ distribution for SR-highMass. The stacked histograms show the expected SM backgrounds. The multi-jet contribution is estimated from data using the ABCD method. The contributions of multi-jet and $W$+jets events are scaled with the corresponding normalization factors derived from the background-only fit. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. For illustration, the distributions from the SUSY reference points are also shown as dashed lines. The last bin includes the overflow events.
The post-fit $m_{T2}$ distribution for SR-highMass. The stacked histograms show the expected SM backgrounds. The multi-jet contribution is estimated from data using the ABCD method. The contributions of multi-jet and $W$+jets events are scaled with the corresponding normalization factors derived from the background-only fit. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. For illustration, the distributions from the SUSY reference points are also shown as dashed lines. The last bin includes the overflow events.
The $m_{T2}$ post-fit distributions in the multi-jet background validation region VR-F (lowMass). The stacked histograms show the contribution of each relevant SM process. The multi-jet shape is taken from VR-E in the ABCD method and the normalization is determined by the transfer factor $T$ and rescaled by a correction factor determined by the fit. The hatched bands represent the combined statistical and systematic uncertainties in the sum of the SM backgrounds shown. For illustration, the distributions of the SUSY reference points are also shown as dashed lines.
The $m_{T2}$ post-fit distributions in the multi-jet background validation region VR-F (lowMass). The stacked histograms show the contribution of each relevant SM process. The multi-jet shape is taken from VR-E in the ABCD method and the normalization is determined by the transfer factor $T$ and rescaled by a correction factor determined by the fit. The hatched bands represent the combined statistical and systematic uncertainties in the sum of the SM backgrounds shown. For illustration, the distributions of the SUSY reference points are also shown as dashed lines.
The $m_{T2}$ post-fit distributions in the multi-jet background validation VR-F (highMass). The stacked histograms show the contribution of each relevant SM process. The multi-jet shape is taken from VR-E in the ABCD method and the normalization is determined by the transfer factor $T$ and rescaled by a correction factor determined by the fit. The hatched bands represent the combined statistical and systematic uncertainties in the sum of the SM backgrounds shown. For illustration, the distributions of the SUSY reference points are also shown as dashed lines.
The $m_{T2}$ post-fit distributions in the multi-jet background validation VR-F (highMass). The stacked histograms show the contribution of each relevant SM process. The multi-jet shape is taken from VR-E in the ABCD method and the normalization is determined by the transfer factor $T$ and rescaled by a correction factor determined by the fit. The hatched bands represent the combined statistical and systematic uncertainties in the sum of the SM backgrounds shown. For illustration, the distributions of the SUSY reference points are also shown as dashed lines.
The $E_{T}^{miss}$ post-fit distributions in the multi-jet background validation region VR-F (lowMass). The stacked histograms show the contribution of each relevant SM process. The multi-jet shape is taken from VR-E in the ABCD method and the normalization is determined by the transfer factor $T$ and rescaled by a correction factor determined by the fit. The hatched bands represent the combined statistical and systematic uncertainties in the sum of the SM backgrounds shown. For illustration, the distributions of the SUSY reference points are also shown as dashed lines.
The $E_{T}^{miss}$ post-fit distributions in the multi-jet background validation region VR-F (lowMass). The stacked histograms show the contribution of each relevant SM process. The multi-jet shape is taken from VR-E in the ABCD method and the normalization is determined by the transfer factor $T$ and rescaled by a correction factor determined by the fit. The hatched bands represent the combined statistical and systematic uncertainties in the sum of the SM backgrounds shown. For illustration, the distributions of the SUSY reference points are also shown as dashed lines.
The $E_{T}^{miss}$ post-fit distributions in the multi-jet background validation region VR-F (highMass). The stacked histograms show the contribution of each relevant SM process. The multi-jet shape is taken from VR-E in the ABCD method and the normalization is determined by the transfer factor $T$ and rescaled by a correction factor determined by the fit. The hatched bands represent the combined statistical and systematic uncertainties in the sum of the SM backgrounds shown. For illustration, the distributions of the SUSY reference points are also shown as dashed lines.
The $E_{T}^{miss}$ post-fit distributions in the multi-jet background validation region VR-F (highMass). The stacked histograms show the contribution of each relevant SM process. The multi-jet shape is taken from VR-E in the ABCD method and the normalization is determined by the transfer factor $T$ and rescaled by a correction factor determined by the fit. The hatched bands represent the combined statistical and systematic uncertainties in the sum of the SM backgrounds shown. For illustration, the distributions of the SUSY reference points are also shown as dashed lines.
The pre-fit $m_{T2}$ distribution in the $WCR$. The SM backgrounds other than multi-jet production are estimated from MC simulation. The multi-jet contribution is estimated from data using the OS--SS method. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines.
The pre-fit $m_{T2}$ distribution in the $WCR$. The SM backgrounds other than multi-jet production are estimated from MC simulation. The multi-jet contribution is estimated from data using the OS--SS method. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines.
The post-fit yields in the $WVR$, $TVRs$, $ZVRs$ and $VVVRs$. The SM backgrounds other than multi-jet production are estimated from MC simulation. The multi-jet contribution is negligible and is estimated from data using the ABCD method, using CRs obtained with the same technique used for the SRs. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the SM background estimate.
The post-fit yields in the $WVR$, $TVRs$, $ZVRs$ and $VVVRs$. The SM backgrounds other than multi-jet production are estimated from MC simulation. The multi-jet contribution is negligible and is estimated from data using the ABCD method, using CRs obtained with the same technique used for the SRs. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the SM background estimate.
A search for heavy neutral Higgs bosons is performed using the LHC Run 2 data, corresponding to an integrated luminosity of 139 fb$^{-1}$ of proton-proton collisions at $\sqrt{s}=13$ TeV recorded with the ATLAS detector. The search for heavy resonances is performed over the mass range 0.2-2.5 TeV for the $\tau^+\tau^-$ decay with at least one $\tau$-lepton decaying into final states with hadrons. The data are in good agreement with the background prediction of the Standard Model. In the $M_{h}^{125}$ scenario of the Minimal Supersymmetric Standard Model, values of $\tan\beta>8$ and $\tan\beta>21$ are excluded at the 95% confidence level for neutral Higgs boson masses of 1.0 TeV and 1.5 TeV, respectively, where $\tan\beta$ is the ratio of the vacuum expectation values of the two Higgs doublets.
Observed and predicted mTtot distribution in the b-veto category of the 1l1tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table.The last bin includes overflows. The combined prediction for A and H bosons with masses of 400, 1000 and 1500 GeV and $\tan\beta$ = 6, 12 and 25 respectively in the mh125 scenario are also provided. The combined prediction for A and H bosons with masses of 1000 and 1500 GeV is scaled by 100 in the paper figure, but not in the HepData table.
Observed and predicted mTtot distribution in the b-veto category of the 1l1tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table.The last bin includes overflows. The combined prediction for A and H bosons with masses of 400, 1000 and 1500 GeV and $\tan\beta$ = 6, 12 and 25 respectively in the mh125 scenario are also provided. The combined prediction for A and H bosons with masses of 1000 and 1500 GeV is scaled by 100 in the paper figure, but not in the HepData table.
Observed and predicted mTtot distribution in the b-veto category of the 1l1tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table.The last bin includes overflows. The combined prediction for A and H bosons with masses of 400, 1000 and 1500 GeV and $\tan\beta$ = 6, 12 and 25 respectively in the mh125 scenario are also provided. The combined prediction for A and H bosons with masses of 1000 and 1500 GeV is scaled by 100 in the paper figure, but not in the HepData table.
Observed and predicted mTtot distribution in the b-tag category of the 1l1tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 400, 1000 and 1500 GeV and $\tan\beta$ = 6, 12 and 25 respectively in the mh125 scenario are also provided. The combined prediction for A and H bosons with masses of 1000 and 1500 GeV is scaled by 100 in the paper figure, but not in the HepData table.
Observed and predicted mTtot distribution in the b-tag category of the 1l1tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 400, 1000 and 1500 GeV and $\tan\beta$ = 6, 12 and 25 respectively in the mh125 scenario are also provided. The combined prediction for A and H bosons with masses of 1000 and 1500 GeV is scaled by 100 in the paper figure, but not in the HepData table.
Observed and predicted mTtot distribution in the b-tag category of the 1l1tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 400, 1000 and 1500 GeV and $\tan\beta$ = 6, 12 and 25 respectively in the mh125 scenario are also provided. The combined prediction for A and H bosons with masses of 1000 and 1500 GeV is scaled by 100 in the paper figure, but not in the HepData table.
Observed and predicted mTtot distribution in the b-veto category of the 2tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 400, 1000 and 1500 GeV and $\tan\beta$ = 6, 12 and 25 respectively in the mh125 scenario are also provided. The combined prediction for A and H bosons with masses of 1000 and 1500 GeV is scaled by 100 in the paper figure, but not in the HepData table.
Observed and predicted mTtot distribution in the b-veto category of the 2tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 400, 1000 and 1500 GeV and $\tan\beta$ = 6, 12 and 25 respectively in the mh125 scenario are also provided. The combined prediction for A and H bosons with masses of 1000 and 1500 GeV is scaled by 100 in the paper figure, but not in the HepData table.
Observed and predicted mTtot distribution in the b-veto category of the 2tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 400, 1000 and 1500 GeV and $\tan\beta$ = 6, 12 and 25 respectively in the mh125 scenario are also provided. The combined prediction for A and H bosons with masses of 1000 and 1500 GeV is scaled by 100 in the paper figure, but not in the HepData table.
Observed and predicted mTtot distribution in the b-tag category of the 2tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 400, 1000 and 1500 GeV and $\tan\beta$ = 6, 12 and 25 respectively in the mh125 scenario are also provided. The combined prediction for A and H bosons with masses of 1000 and 1500 GeV is scaled by 100 in the paper figure, but not in the HepData table.
Observed and predicted mTtot distribution in the b-tag category of the 2tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 400, 1000 and 1500 GeV and $\tan\beta$ = 6, 12 and 25 respectively in the mh125 scenario are also provided. The combined prediction for A and H bosons with masses of 1000 and 1500 GeV is scaled by 100 in the paper figure, but not in the HepData table.
Observed and predicted mTtot distribution in the b-tag category of the 2tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 400, 1000 and 1500 GeV and $\tan\beta$ = 6, 12 and 25 respectively in the mh125 scenario are also provided. The combined prediction for A and H bosons with masses of 1000 and 1500 GeV is scaled by 100 in the paper figure, but not in the HepData table.
Observed and expected 95% CL upper limits on the gluon-gluon fusion Higgs boson production cross section times ditau branching fraction as a function of the Higgs boson mass.
Observed and expected 95% CL upper limits on the gluon-gluon fusion Higgs boson production cross section times ditau branching fraction as a function of the Higgs boson mass.
Observed and expected 95% CL upper limits on the gluon-gluon fusion Higgs boson production cross section times ditau branching fraction as a function of the Higgs boson mass.
Observed and expected 95% CL upper limits on the b-associated Higgs boson production cross section times ditau branching fraction as a function of the boson mass.
Observed and expected 95% CL upper limits on the b-associated Higgs boson production cross section times ditau branching fraction as a function of the boson mass.
Observed and expected 95% CL upper limits on the b-associated Higgs boson production cross section times ditau branching fraction as a function of the boson mass.
The observed 95% CL upper limits on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The observed 95% CL upper limits on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The observed 95% CL upper limits on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with plus one sigma on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with plus one sigma on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with plus one sigma on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with minus one sigma on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with minus one sigma on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with minus one sigma on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with plus two sigma on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with plus two sigma on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with plus two sigma on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with minus two sigma on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with minus two sigma on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with minus two sigma on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The observed 95% CL upper limits on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The observed 95% CL upper limits on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The observed 95% CL upper limits on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with plus one sigma on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with plus one sigma on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with plus one sigma on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with minus one sigma on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with minus one sigma on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with minus one sigma on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with plus two sigma on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with plus two sigma on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with plus two sigma on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with minus two sigma on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with minus two sigma on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
The expected 95% CL upper limits with minus two sigma on $\tan\beta$ as a function of $m_{A}$ in the hMSSM scenario. The lowest value of $\tan\beta$ considered by the hMSSM scenario is 0.8 and the highest value of mass is 2 TeV. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60.
Acceptance times efficiency for a scalar boson produced by gluon-gluon fusion as a function of the scalar boson mass.
Acceptance times efficiency for a scalar boson produced by gluon-gluon fusion as a function of the scalar boson mass.
Acceptance times efficiency for a scalar boson produced by gluon-gluon fusion as a function of the scalar boson mass.
Acceptance times efficiency for a scalar boson produced by b-associated production as a function of the scalar boson mass.
Acceptance times efficiency for a scalar boson produced by b-associated production as a function of the scalar boson mass.
Acceptance times efficiency for a scalar boson produced by b-associated production as a function of the scalar boson mass.
Observed 95% CL upper limits on the scalar boson production cross section times ditau branching fraction as a function of the scalar boson mass and the fraction of the b-associated production. The limits are calculated from a statistical combination of the 1l1tau_h and 2tau_h channels.
Observed 95% CL upper limits on the scalar boson production cross section times ditau branching fraction as a function of the scalar boson mass and the fraction of the b-associated production. The limits are calculated from a statistical combination of the 1l1tau_h and 2tau_h channels.
Observed 95% CL upper limits on the scalar boson production cross section times ditau branching fraction as a function of the scalar boson mass and the fraction of the b-associated production. The limits are calculated from a statistical combination of the 1l1tau_h and 2tau_h channels.
Expected 95% CL upper limits on the scalar boson production cross section times ditau branching fraction as a function of the scalar boson mass and the fraction of the b-associated production. The limits are calculated from a statistical combination of the 1l1tau_h and 2tau_h channels.
Expected 95% CL upper limits on the scalar boson production cross section times ditau branching fraction as a function of the scalar boson mass and the fraction of the b-associated production. The limits are calculated from a statistical combination of the 1l1tau_h and 2tau_h channels.
Expected 95% CL upper limits on the scalar boson production cross section times ditau branching fraction as a function of the scalar boson mass and the fraction of the b-associated production. The limits are calculated from a statistical combination of the 1l1tau_h and 2tau_h channels.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 200 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 200 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 200 GeV signal mass point is shown in the HEPData table.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 250 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 250 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 250 GeV signal mass point is shown in the HEPData table.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 300 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 300 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 300 GeV signal mass point is shown in the HEPData table.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 350 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 350 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 350 GeV signal mass point is shown in the HEPData table.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 400 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 400 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 400 GeV signal mass point is shown in the HEPData table.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 500 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 500 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 500 GeV signal mass point is shown in the HEPData table.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 600 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 600 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 600 GeV signal mass point is shown in the HEPData table.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 700 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 700 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 700 GeV signal mass point is shown in the HEPData table.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 800 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 800 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 800 GeV signal mass point is shown in the HEPData table.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1000 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1000 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1000 GeV signal mass point is shown in the HEPData table.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1200 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1200 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1200 GeV signal mass point is shown in the HEPData table.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1500 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1500 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1500 GeV signal mass point is shown in the HEPData table.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 2000 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 2000 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 2000 GeV signal mass point is shown in the HEPData table.
Two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 2500 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 2500 GeV signal mass point is shown in the HEPData table.
Observed two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 2500 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 200 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 200 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 200 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 250 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 250 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 250 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 300 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 300 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 300 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 350 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 350 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 350 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 400 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 400 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 400 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 500 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 500 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 500 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 600 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 600 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 600 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 700 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 700 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 700 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 800 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 800 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 800 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1000 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1000 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1000 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1200 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1200 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1200 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1500 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1500 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 1500 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 2000 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 2000 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 2000 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 2500 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 2500 GeV signal mass point is shown in the HEPData table.
Expected two dimensional likelihood scan of the gluon-gluon fusion cross section times branching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the scalar boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively. The value of $2\Delta(\mathrm{NLL})$ for 2500 GeV signal mass point is shown in the HEPData table.
When you search on a word, e.g. 'collisions', we will automatically search across everything we store about a record. But sometimes you may wish to be more specific. Here we show you how.
Guidance on the query string syntax can also be found in the OpenSearch documentation.
About HEPData Submitting to HEPData HEPData File Formats HEPData Coordinators HEPData Terms of Use HEPData Cookie Policy
Status Email Forum Twitter GitHub
Copyright ~1975-Present, HEPData | Powered by Invenio, funded by STFC, hosted and originally developed at CERN, supported and further developed at IPPP Durham.