Showing 10 of 80 results
A search for strongly produced supersymmetric particles is conducted using signatures involving multiple energetic jets and either two isolated leptons ($e$ or $\mu$) with the same electric charge, or at least three isolated leptons. The search also utilises jets originating from b-quarks, missing transverse momentum and other observables to extend its sensitivity. The analysis uses a data sample corresponding to a total integrated luminosity of 20.3 fb$^{-1}$ of $\sqrt{s} =$ 8 TeV proton-proton collisions recorded with the ATLAS detector at the Large Hadron Collider in 2012. No deviation from the Standard Model expectation is observed. New or significantly improved exclusion limits are set on a wide variety of supersymmetric models in which the lightest squark can be of the first, second or third generations, and in which R-parity can be conserved or violated.
Numbers of observed and background events for SR0b for each bin of the distribution in Meff. The table corresponds to Fig. 4(b). The statistical and systematic uncertainties are combined for the expected backgrounds.
Numbers of observed and background events for SR1b for each bin of the distribution in Meff. The table corresponds to Fig. 4(c). The statistical and systematic uncertainties are combined for the predicted numbers.
Numbers of observed and background events for SR3b for each bin of the distribution in Meff. The table corresponds to Fig. 4(a). The statistical and systematic uncertainties are combined for the predicted numbers.
Numbers of observed and background events for SR3L low for each bin of the distribution in Meff. The table corresponds to Fig. 4(d). The statistical and systematic uncertainties are combined for the predicted numbers.
Numbers of observed and background events for SR3L high for each bin of the distribution in Meff. The table corresponds to Fig. 4(e). The statistical and systematic uncertainties are combined for the predicted numbers.
The efficiencies are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of squarks that decay into two steps into q q W Z W Z chi1^0 chi1^0 (see Fig. 6c in the paper).
The efficiencies are calculated for all simplified extra dimension model (see Fig. 8d in the paper). For each model, the values are given for the five signal regions and their combination.
The efficiencies are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos that decay via sleptons into q q q q l l (l l) chi1^0 chi1^0 + neutrinos (see Fig. 6d in the paper).
The efficiencies are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos that decay into q q q q W W chi1^0 chi1^0 (see Fig. 6a in the paper).
The efficiencies are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos that decay into t tbar t tbar chi1^0 chi1^0 (see Fig. 5a in the paper). This particular model assumes that top quark is much heavier than gluino.
The efficiencies are calculated for all mSUGRA models (see Fig. 8a in the paper). For each model, the values are given for the five signal regions and their combination. The model assumes tan(beta)=30, A0=2m0, and mu>0.
The efficiencies are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos. A gluino decays into t c chi1^0 (see Fig. 5c in the paper). This particular model assumes that m(chi1^0) = m(stop) - 20 GeV.
The efficiencies are calculated for all GMSB models (see Fig. 8c in the paper). For each model, the values are given for the five signal regions and their combination. The model assumes mmess=250 TeV, m5=3, mu>0, and Cgrav=1.
The efficiencies are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of bottom squarks. A bottom squark decays into t chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 7a in the paper). This particular model assumes that m(chi1^0)=60 GeV.
The efficiencies are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos and top squarks. Top squarks undergo R-parity violating decays into b s and gluinos decay into t stop (see Fig. 5d in the paper).
The efficiencies are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of bottom squarks. A bottom squark decays into t chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 7b in the paper). This particular model assumes that m(chi1^0)=2(chi1^0).
The efficiencies are calculated for all mSUGRA/CMSSM models with bRPV (see Fig. 8b in the paper). For each model, the values are given for the five signal regions and their combination. The model assumes tan(beta)=30, A0=2m0, mu>0, and bRPV.
The efficiencies are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of squarks. Squarks decay into q q l l (l l) chi1^0 chi1^0 + neutrinos (see Fig. 6e in the paper).
The efficiencies are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct pair-production of gluinos that decay via a two-step process into q q q q W Z W Z chi1^0 chi1^0 (see Fig. 6b in the paper).
The efficiencies are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct pair production of gluinos. A gluino decays into t stop. Consequently, a top squark squark decays into b chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 5b in the paper). This particular model assumes that m(stop) < m(gluino), m(chi1^0)=6 GeV, and m(chi1^(+-))=118 GeV.
The acceptances (in percent, %) are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of squarks that decay into two steps into q q W Z W Z chi1^0 chi1^0 (see Fig. 6c in the paper).
The acceptances (in percent, %) are calculated for all simplified extra dimension model (see Fig. 8d in the paper). For each model, the values are given for the five signal regions and their combination.
The acceptances (in percent, %) are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos that decay via sleptons into q q q q l l (l l) chi1^0 chi1^0 + neutrinos (see Fig. 6d in the paper).
The acceptances (in percent, %) are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos that decay into q q q q W W chi1^0 chi1^0 (see Fig. 6a in the paper).
The acceptances (in percent, %) are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos that decay into t tbar t tbar chi1^0 chi1^0 (see Fig. 5a in the paper). This particular model assumes that top quark is much heavier than gluino.
The acceptances (in percent, %) are calculated for all mSUGRA models (see Fig. 8a in the paper). For each model, the values are given for the five signal regions and their combination. The model assumes tan(beta)=30, A0=2m0, and mu>0.
The acceptances (in percent, %) are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos. A gluino decays into t c chi1^0 (see Fig. 5c in the paper). This particular model assumes that m(chi1^0) = m(stop) - 20 GeV.
The acceptances (in percent, %) are calculated for all GMSB models (see Fig. 8c in the paper). For each model, the values are given for the five signal regions and their combination. The model assumes mmess=250 TeV, m5=3, mu>0, and Cgrav=1.
The acceptances (in percent, %) are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of bottom squarks. A bottom squark decays into t chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 7a in the paper). This particular model assumes that m(chi1^0)=60 GeV.
The acceptances (in percent, %) are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos and top squarks. Top squarks undergo R-parity violating decays into bs and gluinos decay into t stop (see Fig. 5d in the paper).
The acceptances (in percent, %) are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of bottom squarks. A bottom squark decays into t chi1^(+-) and chi1^(+-) --> W chi1^0 (see Fig. 7b in the paper). This particular model assumes that m(chi1^0)=2(chi1^0).
The acceptances (in percent, %) are calculated for all mSUGRA/CMSSM models with bRPV (see Fig. 8b in the paper). For each model, the values are given for the five signal regions and their combination. The model assumes tan(beta)=30, A0=2m0, mu>0, and bRPV.
The acceptances (in percent, %) are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of squarks. Squarks decay into q q l l (l l) chi1^0 chi1^0 + neutrinos (see Fig. 6e in the paper).
The acceptances (in percent, %) are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct pair-production of gluinos that decay via a two-step process into q q q q W Z W Z chi1^0 chi1^0 (see Fig. 6b in the paper).
The acceptances (in percent, %) are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct pair production of gluinos. A gluino decays into t stop. Consequently, a top squark squark decays into b chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 5b in the paper). This particular model assumes that m(stop) < m(gluino), m(chi1^0)=6 GeV, and m(chi1^(+-))=118 GeV.
The limits on observed cross section are calculated for all simplified models. The simplified models are for direct pair production of squarks that decay into two steps into q q W Z W Z chi1^0 chi1^0 (see Fig. 6c in the paper).
The limits on observed cross sections are calculated for all simplified models. The simplified models are for direct pair-production of gluinos that decay via sleptons into q q q q l l (l l) chi1^0 chi1^0 + neutrinos (see Fig. 6d in the paper).
The limits on observed cross sections are calculated for all simplified models. The simplified models are for direct production of gluinos that decay into q q q q W W chi1^0 chi1^0 (see Fig. 6a in the paper).
The limits on observed cross sections are calculated for all simplified models. The simplified models are for direct production of gluinos that decay into t tbar t tbar chi1^0 chi1^0 (see Fig. 5a in the paper). This particular model assumes that top quark is much heavier than gluino.
The limits on observed cross sections are calculated for all simplified models. The simplified models are for direct pair production of gluinos. A gluino decays into t c chi1^0 (see Fig. 5c in the paper). This particular model assumes that m(chi1^0) = m(stop) - 20 GeV.
The limits on observed cross sections are calculated for all simplified models. The simplified models are for direct production of bottom squarks. A bottom squark decays into t chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 7a in the paper). This particular model assumes that m(chi1^0)=60 GeV.
The limits on observed cross sections are calculated for all simplified models. The simplified models are for direct production of gluinos and top squarks. Top squarks undergo R-parity violating decays into bs and gluinos decay into t stop (see Fig. 5d in the paper).
The limits on observed cross sections are calculated for all simplified models. The simplified models are for direct production of bottom squarks. A bottom squark decays into t chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 7b in the paper). This particular model assumes that m(chi1^0)=2(chi1^0).
The limits on observed cross sections are calculated for all simplified models. The simplified models are for direct production of squarks. Squarks decay into q q l l (l l) chi1^0 chi1^0 + neutrinos (see Fig. 6e in the paper).
The limits on observed cross sections are calculated for all simplified models. The simplified models are for direct pair-production of gluinos that decay via a two-step process into q q q q W Z W Z chi1^0 chi1^0 (see Fig. 6b in the paper).
The limits on observed cross sections are calculated for all simplified models. The simplified models are for direct pair production of gluinos. A gluino decays into t stop. Consequently, a top squark squark decays into b chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 5b in the paper). This particular model assumes that m(stop) < m(gluino), m(chi1^0)=6 GeV, and m(chi1^(+-))=118 GeV.
The signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of squarks that decay into two steps into q q W Z W Z chi1^0 chi1^0 (see Fig. 6c in the paper).
The signal event yields are calculated for all simplified extra dimension model (see Fig. 8d in the paper). For each model, the values are given for the five signal regions and their combination.
The signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos that decay via sleptons into q q q q l l (l l) chi1^0 chi1^0 + neutrinos (see Fig. 6d in the paper).
The signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos that decay into q q q q W W chi1^0 chi1^0 (see Fig. 6a in the paper).
The signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos that decay into t tbar t tbar chi1^0 chi1^0 (see Fig. 5a in the paper). This particular model assumes that top quark is much heavier than gluino.
The signal event yields are calculated for all mSUGRA models (see Fig. 8a in the paper). For each model, the values are given for the five signal regions and their combination. The model assumes tan(beta)=30, A0=2m0, and mu>0.
The signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos. A gluino decays into t c chi1^0 (see Fig. 5c in the paper). This particular model assumes that m(chi1^0) = m(stop)-20 GeV.
The signal event yields are calculated for all GMSB models (see Fig. 8c in the paper). For each model, the values are given for the five signal regions and their combination. The model assumes mmess=250 TeV, m5=3, mu>0, and Cgrav=1.
The signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of bottom squarks. A bottom squark decays into t chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 7a in the paper). This particular model assumes that m(chi1^0)=60 GeV.
The signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos and top squarks. Top squarks undergo R-parity violating decays into bs and gluinos decay into t stop (see Fig. 5d in the paper).
The signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of bottom squarks. A bottom squark decays into t chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 7b in the paper). This particular model assumes that m(chi1^0)=2(chi1^0).
The signal event yields are calculated for all mSUGRA/CMSSM models with bRPV (see Fig. 8b in the paper). For each model, the values are given for the five signal regions and their combination. The model assumes tan(beta)=30, A0=2m0, mu>0, and bRPV.
The signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of squarks. Squarks decay into q q l l (l l) chi1^0 chi1^0 + neutrinos (see Fig. 6e in the paper).
The signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct pair-production of gluinos that decay via a two-step process into q q q q W Z W Z chi1^0 chi1^0 (see Fig. 6b in the paper).
The signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct pair-production of gluinos. A gluino decays into t stop. Consequently, a top squark squark decays into b chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 5b in the paper). This particular model assumes that m(stop) < m(gluino), m(chi1^0)=6 GeV, and m(chi1^(+-))=118 GeV.
Experimental uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of squarks that decay into two steps into q q W Z W Z chi1^0 chi1^0 (see Fig. 6c in the paper).
Experimental uncertainties on the signal event yields are calculated for all simplified extra dimension model (see Fig. 8d in the paper). For each model, the values are given for the five signal regions and their combination.
Experimental uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos that decay via sleptons into q q q q l l (l l) chi1^0 chi1^0 + neutrinos (see Fig. 6d in the paper).
Experimental uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos that decay into q q q q W W chi1^0 chi1^0 (see Fig. 6a in the paper).
Experimental uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos that decay into t tbar t tbar chi1^0 chi1^0 (see Fig. 5a in the paper). This particular model assumes that top quark is much heavier than gluino.
Experimental uncertainties on the signal event yields are calculated for all mSUGRA models (see Fig. 8a in the paper). For each model, the values are given for the five signal regions and their combination. The model assumes tan(beta)=30, A0=2m0, and mu>0.
Experimental uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos. A gluino decays into t c chi1^0 (see Fig. 5c in the paper). This particular model assumes that m(chi1^0) = m(stop) - 20 GeV.
Experimental uncertainties on the signal event yields are calculated for all GMSB models (see Fig. 8c in the paper). For each model, the values are given for the five signal regions and their combination. The model assumes mmess=250 TeV, m5=3, mu>0, and Cgrav=1.
Experimental uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of bottom squarks. A bottom squark decays into t chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 7a in the paper). This particular model assumes that m(chi1^0)=60 GeV.
Experimental uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos and top squarks. Top squarks undergo R-parity violating decays into bs and gluinos decay into t stop (see Fig. 5d in the paper).
Experimental uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of bottom squarks. A bottom squark decays into t chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 7b in the paper). This particular model assumes that m(chi1^0)=2(chi1^0).
Experimental uncertainties on the signal event yields are calculated for all mSUGRA/CMSSM models with bRPV (see Fig. 8b in the paper). For each model, the values are given for the five signal regions and their combination. The model assumes tan(beta)=30, A0=2m0, mu>0, and bRPV.
Experimental uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of squarks. Squarks decay into q q l l (l l) chi1^0 chi1^0 + neutrinos (see Fig. 6e in the paper).
Experimental uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct pair-production of gluinos that decay via a two-step process into q q q q W Z W Z chi1^0 chi1^0 (see Fig. 6b in the paper).
Experimental uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct pair-production of gluinos. A gluino decays into t stop. Consequently, a top squark squark decays into b chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 5b in the paper). This particular model assumes that m(stop) < m(gluino), m(chi1^0)=6 GeV, and m(chi1^(+-))=118 GeV.
Statistical uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of squarks that decay into two steps into q q W Z W Z chi1^0 chi1^0 (see Fig. 6c in the paper).
Statistical uncertainties on the signal event yields are calculated for all simplified extra dimension model (see Fig. 8d in the paper). For each model, the values are given for the five signal regions and their combination.
Statistical uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos that decay via sleptons into q q q q l l (l l) chi1^0 chi1^0 + neutrinos (see Fig. 6d in the paper).
Statistical uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos that decay into q q q q W W chi1^0 chi1^0 (see Fig. 6a in the paper).
Statistical uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos that decay into t tbar t tbar chi1^0 chi1^0 (see Fig. 5a in the paper). This particular model assumes that top quark is much heavier than gluino.
Statistical uncertainties on the signal event yields are calculated for all mSUGRA models (see Fig. 8a in the paper). For each model, the values are given for the five signal regions and their combination. The model assumes tan(beta)=30, A0=2m0, and mu>0.
Statistical uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos. A gluino decays into t c chi1^0 (see Fig. 5c in the paper). This particular model assumes that m(chi1^0) = m(stop) - 20 GeV.
Statistical uncertainties on the signal event yields are calculated for all GMSB models (see Fig. 8c in the paper). For each model, the values are given for the five signal regions and their combination. The model assumes mmess=250 TeV, m5=3, mu>0, and Cgrav=1.
Statistical uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of bottom squarks. A bottom squark decays into t chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 7a in the paper). This particular model assumes that m(chi1^0)=60 GeV.
Statistical uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of gluinos and top squarks. Top squarks undergo R-parity violating decays into bs and gluinos decay into t stop (see Fig. 5d in the paper).
Statistical uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of bottom squarks. A bottom squark decays into t chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 7b in the paper). This particular model assumes that m(chi1^0)=2(chi1^0).
Statistical uncertainties on the signal event yields are calculated for all mSUGRA/CMSSM models with bRPV (see Fig. 8b in the paper). For each model, the values are given for the five signal regions and their combination. The model assumes tan(beta)=30, A0=2m0, mu>0, and bRPV.
Statistical uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct production of squarks. Squarks decay into q q l l (l l) chi1^0 chi1^0 + neutrinos (see Fig. 6e in the paper).
Statistical uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct pair-production of gluinos that decay via a two-step process into q q q q W Z W Z chi1^0 chi1^0 (see Fig. 6b in the paper).
Statistical uncertainties on the signal event yields are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct pair-production of gluinos. A gluino decays into t stop. Consequently, a top squark squark decays into b chi1^(+-) and chi1^(+-) --> W ^(+-) chi1^0 (see Fig. 5b in the paper). This particular model assumes that m(stop) < m(gluino), m(chi1^0)=6 GeV, and m(chi1^(+-))=118 GeV.
The confidence levels are calculated for all simplified models. For each model, the observed and expected values are given. The simplified model is for direct production of gluinos that decay into t tbar t tbar chi1^0 chi1^0 (see Fig. 5a in the paper). This particular model assumes that top quark is much heavier than gluino.
The confidence levels are calculated for all simplified models. For each model, the observed and expected values are given. The simplified model is for direct production of squarks that decay into two steps into q q W Z W Z chi1^0 chi1^0 (see Fig. 6c in the paper).
The confidence levels are calculated for all simplified models. For each model, the values are given for the five signal regions and their combination. The simplified model is for direct pair-production of gluinos that decay via a two-step process into q q q q W Z W Z chi1^0 chi1^0 (see Fig. 6b in the paper).
The confidence levels are calculated for all simplified models. For each model, the expected and observed values are given. The simplified model is for direct production of gluinos that decay via sleptons into q q q q l l (l l) chi1^0 chi1^0 + neutrinos (see Fig. 6d in the paper).
The confidence levels are calculated for all simplified models. For each model, the expected and observed values are given. The simplified model is for direct pair-production of gluinos. A gluino decays into t stop. Consequently, a top squark squark decays into b chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 5b in the paper). This particular model assumes that m(stop) < m(gluion), m(chi1^0)=6 GeV, and m(chi1^(+-))=118 GeV.
The confidence levels are calculated for all simplified models. For each model, the expected and observed values are given. The simplified model is for direct production of gluinos. A gluino decays into t c chi1^0 (see Fig. 5c in the paper). This particular model assumes that m(chi1^0) = m(stop) - 20 GeV.
The confidence levels are calculated for all simplified models. For each model, the expected and observed values are given. The simplified model is for direct production of bottom squarks. A bottom squark decays into t chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 7b in the paper). This particular model assumes that m(chi1^0)=2(chi1^0).
The confidence levels are calculated for all simplified models. For each model, the expected and observed values are given. The simplified model is for direct production of bottom squarks. A bottom squark decays into t chi1^(+-) and chi1^(+-) --> W^(+-) chi1^0 (see Fig. 7a in the paper). This particular model assumes that m(chi1^0)=60 GeV.
The confidence levels are calculated for all simplified models. For each model, the expected and observed values are given. The simplified model is for direct production of squarks. Squarks decay into q q l l (l l) chi1^0 chi1^0 + neutrinos (see Fig. 6e in the paper).
The confidence levels are calculated for all GMSB models (see Fig. 8c in the paper). For each model, the expected and observed values are given. The model assumes mmess=250 TeV, m5=3, mu>0, and Cgrav=1.
The confidence levels are calculated for all simplified models. For each model, the expected and observed values are given. The simplified model is for direct production of gluinos and top squarks. Top squarks undergo R-parity violating decays into bs and gluinos decay into t stop (see Fig. 5d in the paper).
The confidence levels are calculated for all mSUGRA/CMSSM models with bRPV (see Fig. 8b in the paper). For each model, the expected and observed values are given. The model assumes tan(beta)=30, A0=2m0, mu>0, and bRPV.
The confidence levels are calculated for all simplified extra dimension model (see Fig. 8d in the paper). For each model, the expected and observed values are given.
The confidence levels are calculated for all simplified models. For each model, the expected and observed values are given. The simplified model is for direct production of gluinos that decay into q q q q W W chi1^0 chi1^0 (see Fig. 6a in the paper).
The confidence levels are calculated for all mSUGRA models (see Fig. 8a in the paper). For each model, the expected and observed values are given. The model assumes tan(beta)=30, A0=2m0, and mu>0.
A search for heavy charged long-lived particles is performed using a data sample of 36.1 fb$^{-1}$ of proton-proton collisions at $\sqrt{s} = 13$ TeV collected by the ATLAS experiment at the Large Hadron Collider. The search is based on observables related to ionization energy loss and time of flight, which are sensitive to the velocity of heavy charged particles traveling significantly slower than the speed of light. Multiple search strategies for a wide range of lifetimes, corresponding to path lengths of a few meters, are defined as model-independently as possible, by referencing several representative physics cases that yield long-lived particles within supersymmetric models, such as gluinos/squarks ($R$-hadrons), charginos and staus. No significant deviations from the expected Standard Model background are observed. Upper limits at 95% confidence level are provided on the production cross sections of long-lived $R$-hadrons as well as directly pair-produced staus and charginos. These results translate into lower limits on the masses of long-lived gluino, sbottom and stop $R$-hadrons, as well as staus and charginos of 2000 GeV, 1250 GeV, 1340 GeV, 430 GeV and 1090 GeV, respectively.
Lower mass requirement for signal regions.
Lower mass requirement for signal regions.
Lower mass requirement for signal regions.
Lower mass requirement for signal regions.
Expected and observed events in the 16 discovery regions along with the according control regions.
Expected and observed events in the 16 discovery regions along with the according control regions.
Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the MS-agnostic R-hadron search.
Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the MS-agnostic R-hadron search.
Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the full-detector R-hadron search.
Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the full-detector R-hadron search.
p0-values and model-independent upper limits on cross-section x acceptance x efficiency for the 16 discovery regions.
p0-values and model-independent upper limits on cross-section x acceptance x efficiency for the 16 discovery regions.
Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the MS-agnostic search for metastable gluino R-hadrons.
Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the MS-agnostic search for metastable gluino R-hadrons.
Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the full-detector direct-stau search.
Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the full-detector direct-stau search.
Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the full-detector chargino search.
Expected signal yield and acceptance x efficiency, estimated background and observed number of events in data for the full range of simulated masses in the full-detector chargino search.
Upper cross-section limit in gluino R-hadron search.
Upper cross-section limit in gluino R-hadron search.
Upper cross-section limit in sbottom R-hadron search.
Upper cross-section limit in sbottom R-hadron search.
Upper cross-section limit in stop R-hadron search.
Upper cross-section limit in stop R-hadron search.
Upper cross-section limit in stau search.
Upper cross-section limit in stau search.
Upper cross-section limit in chargino search.
Upper cross-section limit in chargino search.
Lower mass limit as function of gluino lifetime.
Lower mass limit as function of gluino lifetime.
Acceptance x efficiency, acceptance and efficiency for the full range of simulated masses in the MS-agnostic R-hadron search.
Acceptance x efficiency, acceptance and efficiency for the full range of simulated masses in the MS-agnostic R-hadron search.
Upper cross-section limit in meta-stable gluino R-hadron search.
Upper cross-section limit in meta-stable gluino R-hadron search.
Flavor composition of 800 GeV stop R-hadrons simulated using the generic model as a function of radial distance from the interaction point.
Flavor composition of 800 GeV stop R-hadrons simulated using the generic model as a function of radial distance from the interaction point.
Flavor composition of 800 GeV anti-stop R-hadrons simulated using the generic model as a function of radial distance from the interaction point.
Flavor composition of 800 GeV anti-stop R-hadrons simulated using the generic model as a function of radial distance from the interaction point.
Flavor composition of 800 GeV stop R-hadrons simulated using the Regge model as a function of radial distance from the interaction point.
Flavor composition of 800 GeV stop R-hadrons simulated using the Regge model as a function of radial distance from the interaction point.
Flavor composition of 800 GeV anti-stop R-hadrons simulated using the Regge model as a function of radial distance from the interaction point.
Flavor composition of 800 GeV anti-stop R-hadrons simulated using the Regge model as a function of radial distance from the interaction point.
ETmiss trigger efficiency as function of true ETmiss (EtmissTurnOn).
ETmiss trigger efficiency as function of true ETmiss (EtmissTurnOn).
Single-muon trigger efficiency as function of $|\eta|$ and $\beta$ (SingleMuTurnOn).
Single-muon trigger efficiency as function of $|\eta|$ and $\beta$ (SingleMuTurnOn).
Candidate reconstruction efficiency for ID+Calo selection (IDCaloEff).
Candidate reconstruction efficiency for ID+Calo selection (IDCaloEff).
Candidate reconstruction efficiency for loose selection (LooseEff).
Candidate reconstruction efficiency for loose selection (LooseEff).
Efficiency for a loose candidate to be promoted to a tight candidate (TightPromotionEff).
Efficiency for a loose candidate to be promoted to a tight candidate (TightPromotionEff).
Resolution and average of reconstructed dE/dx mass for a given simulated mass for ID+calo candidates.
Resolution and average of reconstructed dE/dx mass for a given simulated mass for ID+calo candidates.
Resolution and average of reconstructed ToF mass for a given simulated mass for ID+calo candidates.
Resolution and average of reconstructed ToF mass for a given simulated mass for ID+calo candidates.
Resolution and average of reconstructed ToF mass for a given simulated mass for FullDet candidates.
Resolution and average of reconstructed ToF mass for a given simulated mass for FullDet candidates.
A measurement of the associated production of a top-quark pair ($t\bar{t}$) with a vector boson ($W$, $Z$) in proton-proton collisions at a center-of-mass energy of 13 TeV is presented, using $36.1$ fb$^{-1}$ of integrated luminosity collected by the ATLAS detector at the Large Hadron Collider. Events are selected in channels with two same- or opposite-sign leptons (electrons or muons), three leptons or four leptons, and each channel is further divided into multiple regions to maximize the sensitivity of the measurement. The $t\bar{t}Z$ and $t\bar{t}W$ production cross sections are simultaneously measured using a combined fit to all regions. The best-fit values of the production cross sections are $\sigma_{t\bar{t}Z} = 0.95 \pm 0.08_{\mathrm{stat.}} \pm 0.10_{\mathrm{syst.}}$ pb and $\sigma_{t\bar{t}W} = 0.87 \pm 0.13_{\mathrm{stat.}} \pm 0.14_{\mathrm{syst.}}$ pb in agreement with the Standard Model predictions. The measurement of the $t\bar{t}Z$ cross section is used to set constraints on effective field theory operators which modify the $t\bar{t}Z$ vertex.
The result of the simultaneous fit to the $t\bar{t}Z$ and $t\bar{t}W$ cross sections.
68% confidence level (CL) contours of the measured $t\bar{t}Z$ and $t\bar{t}W$ cross sections.
95% confidence level (CL) contours of the measured $t\bar{t}Z$ and $t\bar{t}W$ cross sections.
List of relative uncertainties in the measured cross sections of the $t\bar{t}Z$ and $t\bar{t}W$ processes from the fit, grouped in categories. All uncertainties are symmetrized. The sum in quadrature may not be equal to the total due to correlations between uncertainties introduced by the fit.
The expected and observed 68% and 95% confidence intervals, which include the value 0, for $\mathcal{C}_{i}/\Lambda^{2}$ for the EFT coefficients $\mathcal{C}_{\phi Q}^{(3)}$, $\mathcal{C}_{\phi t}$, $\mathcal{C}_{tB}$ and $\mathcal{C}_{tW}$. The intervals for $\mathcal{C}_{\phi Q}^{(3)}$ are derived setting $\mathcal{C}_{\phi Q}^{(1)}$ to zero; the measurement is sensitive to the difference $\mathcal{C}_{\phi Q}^{(3)}-\mathcal{C}_{\phi Q}^{(1)}$. All results are given in units of 1/TeV$^{2}$. Limits from fits for the EFT coefficients with only the linear term are also shown.
A search for resonant and non-resonant pair production of Higgs bosons in the $b\bar{b}\tau^+\tau^-$ final state is presented. The search uses 36.1 fb$^{-1}$ of $pp$ collision data with $\sqrt{s}= 13$ TeV recorded by the ATLAS experiment at the LHC in 2015 and 2016. The semileptonic and fully hadronic decays of the $\tau$-lepton pair are considered. No significant excess above the expected background is observed in the data. The cross-section times branching ratio for non-resonant Higgs boson pair production is constrained to be less than 30.9 fb, 12.7 times the Standard Model expectation, at 95% confidence level. The data are also analyzed to probe resonant Higgs boson pair production, constraining a model with an extended Higgs sector based on two doublets and a Randall-Sundrum bulk graviton model. Upper limits are placed on the resonant Higgs boson pair production cross-section times branching ratio, excluding resonances $X$ in the mass range $305~{\rm GeV} < m_X < 402~{\rm GeV}$ in the simplified hMSSM minimal supersymmetric model for $\tan\beta=2$ and excluding bulk Randall-Sundrum gravitons $G_{\mathrm{KK}}$ in the mass range $325~{\rm GeV} < m_{G_{\mathrm{KK}}} < 885~{\rm GeV}$ for $k/\overline{M}_{\mathrm{Pl}} = 1$.
Observed and expected limits at 95% CL on the cross-sections of RS Graviton to HH for k/MPl = 1 process
Observed and expected limits at 95% CL on the cross-sections of RS Graviton to HH for k/MPl = 2 process
Observed and expected limits at 95% CL on the cross-sections of hMSSM scalar X to HH process
Acceptance x efficiency versus resonance mass for both lephad and hadhad channels in the RS bulk model with k/MPl = 1
Acceptance x efficiency versus resonance mass for both lephad and hadhad channels in the RS bulk model with k/MPl = 2
Acceptance x efficiency versus resonance mass for both lephad and hadhad channels in the scalar model
Upper limits on the production cross-section times the HH to bbtautau branching ratio for non-resonant HH at 95% CLS and their interpretation as multiples of the SM prediction
Upper limits on the production cross-section times the HH to bbtautau branching ratio divided by the SM prediction for non-resonant HH at 95% CL
Post-fit expected number of signal and background events and observed number of data events after applying the selection criteria and requiring exactly 2 b-tagged jets and assuming a background-only hypothesis
Post-fit expected number of signal and background events and observed number of data events in the last two bins of the non-resonant BDT score distribution of the SM signal after applying the selection criteria and requiring exactly 2 b-tagged jets and assuming a background-only hypothesis
Charged Higgs bosons produced either in top-quark decays or in association with a top-quark, subsequently decaying via $H^{\pm} \to \tau^{\pm}\nu_{\tau}$, are searched for in 36.1 fb$^{-1}$ of proton-proton collision data at $\sqrt{s}=13$ TeV recorded with the ATLAS detector. Depending on whether the top-quark produced together with $H^{\pm}$ decays hadronically or leptonically, the search targets $\tau$+jets and $\tau$+lepton final states, in both cases with a hadronically decaying $\tau$-lepton. No evidence of a charged Higgs boson is found. For the mass range of $m_{H^{\pm}}$ = 90-2000 GeV, upper limits at the 95% confidence level are set on the production cross-section of the charged Higgs boson times the branching fraction $\mathrm{B}(H^{\pm} \to \tau^{\pm}\nu_{\tau})$ in the range 4.2-0.0025 pb. In the mass range 90-160 GeV, assuming the Standard Model cross-section for $t\overline{t}$ production, this corresponds to upper limits between 0.25% and 0.031% for the branching fraction $\mathrm{B}(t\to bH^{\pm}) \times \mathrm{B}(H^{\pm} \to \tau^{\pm}\nu_{\tau})$.
Observed and expected 95% CL exclusion limits on $\sigma(pp\to tbH^+)\times \mathrm{\cal{B}}(H^+\to\tau\nu)$ as a function of the charged Higgs boson mass in 36.1 fb$^{-1}$ of $pp$ collision data at $\sqrt{s} = 13$ TeV, after combination of the $\tau_{\rm had-vis}$+jets and $\tau_{\rm had-vis}$+lepton final states.
Observed and expected 95% CL exclusion limits on $\mathrm{\cal{B}}(t\to bH^+)\times\mathrm{\cal{B}}(H^+\to\tau\nu)$ as a function of the charged Higgs boson mass in 36.1 fb$^{-1}$ of $pp$ collision data at $\sqrt{s} = 13$ TeV, after combination of the $\tau_{\rm had-vis}$+jets and $\tau_{\rm had-vis}$+lepton final states.
Observed 95% CL exclusion contour in the tan$\beta$ - $m_H$ plane shown in the context of the hMSSM, for the regions in which theoretical predictions are available (0.5$\leq\text{tan}\beta\leq60$).
Expected 95% CL exclusion contour in the tan$\beta$ - $m_H$ plane shown in the context of the hMSSM, for the regions in which theoretical predictions are available (0.5$\leq\text{tan}\beta\leq60$).
Observed a95% CL exclusion contour in the tan$\beta$ - $m_H$ plane shown in the context of the $m_{H}^{mod-}$ scenario, for the regions in which theoretical predictions are available (0.5$\leq\text{tan}\beta\leq60$).
Expected 95% CL exclusion contour in the tan$\beta$ - $m_H$ plane shown in the context of the $m_{H}^{mod-}$ scenario, for the regions in which theoretical predictions are available (0.5$\leq\text{tan}\beta\leq60$).
A search for long-lived particles decaying into hadrons and at least one muon is presented. The analysis selects events that pass a muon or missing-transverse-momentum trigger and contain a displaced muon track and a displaced vertex. The analyzed dataset of proton-proton collisions at $\sqrt{s} = 13$ TeV was collected with the ATLAS detector and corresponds to 136 fb$^{-1}$. The search employs dedicated reconstruction techniques that significantly increase the sensitivity to long-lived particle decays that occur in the ATLAS inner detector. Background estimates for Standard Model processes and instrumental effects are extracted from data. The observed event yields are compatible with those expected from background processes. The results are presented as limits at 95% confidence level on model-independent cross sections for processes beyond the Standard Model, and interpreted as exclusion limits in scenarios with pair-production of long-lived top squarks that decay via a small $R$-parity-violating coupling into a quark and a muon. Top squarks with masses up to 1.7 TeV are excluded for a lifetime of 0.1 ns, and masses below 1.3 TeV are excluded for lifetimes between 0.01 ns and 30 ns.
Expected exclusion limits at 95% CL on m($\tilde{t}$) as a function of $\tau(\tilde{t})$.
Expected exclusion limits at 95% CL on m($\tilde{t}$) as a function of $\tau(\tilde{t})$.
Expected (1 sigma band) exclusion limits at 95% CL on m($\tilde{t}$) as a function of $\tau(\tilde{t})$.
Expected (1 sigma band) exclusion limits at 95% CL on m($\tilde{t}$) as a function of $\tau(\tilde{t})$.
Expected (2 sigma band) exclusion limits at 95% CL on m($\tilde{t}$) as a function of $\tau(\tilde{t})$.
Expected (2 sigma band) exclusion limits at 95% CL on m($\tilde{t}$) as a function of $\tau(\tilde{t})$.
Observed exclusion limits at 95% CL on m($\tilde{t}$) as a function of $\tau(\tilde{t})$.
Observed exclusion limits at 95% CL on m($\tilde{t}$) as a function of $\tau(\tilde{t})$.
Observed (+1 sigma) exclusion limits at 95% CL on m($\tilde{t}$) as a function of $\tau(\tilde{t})$.
Observed (+1 sigma) exclusion limits at 95% CL on m($\tilde{t}$) as a function of $\tau(\tilde{t})$.
Observed (-1 sigma) exclusion limits at 95% CL on m($\tilde{t}$) as a function of $\tau(\tilde{t})$.
Observed (-1 sigma) exclusion limits at 95% CL on m($\tilde{t}$) as a function of $\tau(\tilde{t})$.
Exclusion limits on the production cross section as a function of m($\tilde{t}$) are shown for several values of $\tau(\tilde{t})$ along with the nominal signal production cross section and its theoretical uncertainty.
Exclusion limits on the production cross section as a function of m($\tilde{t}$) are shown for several values of $\tau(\tilde{t})$ along with the nominal signal production cross section and its theoretical uncertainty.
Parameterized event selection efficiencies for the $E_{T}^{miss}$ Trigger SR. The event-level efficiencies for each SR are extracted for all events passing the acceptance of the corresponding SR.
Parameterized event selection efficiencies for the $E_{T}^{miss}$ Trigger SR. The event-level efficiencies for each SR are extracted for all events passing the acceptance of the corresponding SR.
Parameterized event selection efficiencies for the Muon Trigger SR. The event-level efficiencies for each SR are extracted for all events passing the acceptance of the corresponding SR.
Parameterized event selection efficiencies for the Muon Trigger SR. The event-level efficiencies for each SR are extracted for all events passing the acceptance of the corresponding SR.
Parameterized muon-level reconstruction efficiencies as a function of the muon $p_{T}$ and $d_{0}$. The muon-level efficiencies are extracted using muons passing the muon acceptance criteria.
Parameterized muon-level reconstruction efficiencies as a function of the muon $p_{T}$ and $d_{0}$. The muon-level efficiencies are extracted using muons passing the muon acceptance criteria.
Parameterized vertex-level reconstruction efficiencies as a function of the radial position of the truth vertex. The efficiency is calculated independent of the muons originating from this truth vertex.
Parameterized vertex-level reconstruction efficiencies as a function of the radial position of the truth vertex. The efficiency is calculated independent of the muons originating from this truth vertex.
Parameterized vertex-level reconstruction efficiencies as a function of the radial position of the truth vertex. The efficiency is calculated only for truth vertices which have a muon originating from them which is matched to a reconstructed muon.
Parameterized vertex-level reconstruction efficiencies as a function of the radial position of the truth vertex. The efficiency is calculated only for truth vertices which have a muon originating from them which is matched to a reconstructed muon.
The $p_{T}$ distribution of all muons originating from LLP decays in the samples used to calculate and validate the efficiencies.
The $p_{T}$ distribution of all muons originating from LLP decays in the samples used to calculate and validate the efficiencies.
The invariant mass and multiplicity of selected decay products of all truth vertices used in the calculation and validation of the reconstructed efficiencies.
The invariant mass and multiplicity of selected decay products of all truth vertices used in the calculation and validation of the reconstructed efficiencies.
A search is presented for pair-production of long-lived neutral particles using 33 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data, collected during 2016 by the ATLAS detector at the LHC. This search focuses on a topology in which one long-lived particle decays in the ATLAS inner detector and the other decays in the muon spectrometer. Special techniques are employed to reconstruct the displaced tracks and vertices in the inner detector and in the muon spectrometer. One event is observed that passes the full event selection, which is consistent with the estimated background. Limits are placed on scalar boson propagators with masses from 125 GeV to 1000 GeV decaying into pairs of long-lived hidden-sector scalars with masses from 8 GeV to 400 GeV. The limits placed on several low-mass scalars extend previous exclusion limits in the range of proper lifetimes $c \tau$ from 5 cm to 1 m.
IDVx selection efficiency as a function of the radial decay position for $m_H = 125$ GeV.
IDVx selection efficiency as a function of the radial decay position for $m_s = 50$ GeV.
Observed $CL_S$ limits on $BR$ for $m_H = 125$ GeV.
Observed $CL_S$ limits on $\sigma \times BR$ for $m_{\Phi} = 200-400$ GeV.
Observed $CL_S$ limits on $\sigma \times BR$ for $m_{\Phi} = 600-1000$ GeV.
Combined limits from this analysis (ID) and the CR and MS analyses for $m_{H} = 125$ GeV, $m_s = 15$ GeV.
Combined limits from this analysis (ID) and the CR and MS analyses for $m_{H} = 125$ GeV, $m_s = 25$ GeV.
Combined limits from this analysis (ID) and the CR and MS analyses for $m_{H} = 125$ GeV, $m_s = 40$ GeV.
Combined limits from this analysis (ID) and the CR and MS analyses for $m_{H} = 125$ GeV, $m_s = 55$ GeV.
Combined limits from this analysis (ID) and the CR and MS analyses for $m_{\Phi} = 200$ GeV, $m_s = 25$ GeV.
Combined limits from this analysis (ID) and the CR and MS analyses for $m_{\Phi} = 200$ GeV, $m_s = 50$ GeV.
Comparison of the IDVx reconstruction and selection efficiency for a Higgs with a mass of 125 GeV decaying to an LLP with a mass of 8 GeV, using only standard tracking versus using standard and large radius tracking for all ID vertices in the signal MC sample.
Comparison of the IDVx reconstruction and selection efficiency for a Higgs with a mass of 125 GeV decaying to an LLP with a mass of 8 GeV, using only standard tracking versus using standard and large radius tracking for ID vertices passing the full IDVx selection criteria.
Comparison of the IDVx reconstruction and selection efficiency for a $\Phi$ with a mass of 1000 GeV decaying to an LLP with a mass of 150 GeV, using only standard tracking versus using standard and large radius tracking for all ID vertices in the signal MC sample.
Comparison of the IDVx reconstruction and selection efficiency for a $\Phi$ with a mass of 1000 GeV decaying to an LLP with a mass of 150 GeV, using only standard tracking versus using standard and large radius tracking for ID vertices passing the full IDVx selection criteria.
The IDVx selection efficiency as a function of long-lived particle decay $z$ position for MC signal samples with a 125 GeV Higgs boson decaying to LLPs with masses of 8, 25, and 55 GeV. The efficiency for the 55 GeV LLP sample is shown both with and without the material veto applied.
The IDVx selection efficiency as a function of long-lived particle decay $z$ position for MC signal samples with mediators of masses 200, 400, and 600 GeV decaying to LLPs with a mass of 50 GeV. The efficiency for the 200 GeV mediator sample is shown both with and without the material veto applied.
The impact of the IDVx selections on the selection efficiency for the MC signal sample with a Higgs with a mass of 125 GeV decaying to an LLP with a mass of 8 GeV.
The impact of the IDVx selections on the selection efficiency for the MC signal sample with a Higgs with a mass of 125 GeV decaying to an LLP with a mass of 8 GeV.
The impact of the IDVx selections on the selection efficiency for the MC signal sample with a Higgs with a mass of 125 GeV decaying to an LLP with a mass of 8 GeV.
The impact of the IDVx selections on the selection efficiency for the MC signal sample with a $\Phi$ with a mass of 400 GeV decaying to an LLP with a mass of 50 GeV.
The impact of the IDVx selections on the selection efficiency for the MC signal sample with a $\Phi$ with a mass of 400 GeV decaying to an LLP with a mass of 50 GeV.
The impact of the IDVx selections on the selection efficiency for the MC signal sample with a $\Phi$ with a mass of 400 GeV decaying to an LLP with a mass of 50 GeV.
The impact of the IDVx selections on the selection efficiency for the MC signal sample with a $\Phi$ with a mass of 1000 GeV decaying to an LLP with a mass of 150 GeV.
The impact of the IDVx selections on the selection efficiency for the MC signal sample with a $\Phi$ with a mass of 1000 GeV decaying to an LLP with a mass of 150 GeV.
The impact of the IDVx selections on the selection efficiency for the MC signal sample with a $\Phi$ with a mass of 1000 GeV decaying to an LLP with a mass of 150 GeV.
$CL_S$ limits on $B_{H\rightarrow ss}$ for $m_{H} = 125$ GeV, $m_s = 8$ GeV.
$CL_S$ limits on $B_{H\rightarrow ss}$ for $m_{H} = 125$ GeV, $m_s = 15$ GeV.
$CL_S$ limits on $B_{H\rightarrow ss}$ for $m_{H} = 125$ GeV, $m_s = 25$ GeV.
$CL_S$ limits on $B_{H\rightarrow ss}$ for $m_{H} = 125$ GeV, $m_s = 40$ GeV.
$CL_S$ limits on $B_{H\rightarrow ss}$ for $m_{H} = 125$ GeV, $m_s = 55$ GeV.
$CL_S$ limits on $\sigma \times B_{\Phi\rightarrow ss}$ for $m_{\Phi} = 200$ GeV, $m_s = 8$ GeV.
$CL_S$ limits on $\sigma \times B_{\Phi\rightarrow ss}$ for $m_{\Phi} = 200$ GeV, $m_s = 25$ GeV.
$CL_S$ limits on $\sigma \times B_{\Phi\rightarrow ss}$ for $m_{\Phi} = 200$ GeV, $m_s = 50$ GeV.
$CL_S$ limits on $\sigma \times B_{\Phi\rightarrow ss}$ for $m_{\Phi} = 400$ GeV, $m_s = 50$ GeV.
$CL_S$ limits on $\sigma \times B_{\Phi\rightarrow ss}$ for $m_{\Phi} = 400$ GeV, $m_s = 100$ GeV.
$CL_S$ limits on $\sigma \times B_{\Phi\rightarrow ss}$ for $m_{\Phi} = 600$ GeV, $m_s = 50$ GeV.
$CL_S$ limits on $\sigma \times B_{\Phi\rightarrow ss}$ for $m_{\Phi} = 600$ GeV, $m_s = 150$ GeV.
$CL_S$ limits on $\sigma \times B_{\Phi\rightarrow ss}$ for $m_{\Phi} = 1000$ GeV, $m_s = 50$ GeV.
$CL_S$ limits on $\sigma \times B_{\Phi\rightarrow ss}$ for $m_{\Phi} = 1000$ GeV, $m_s = 150$ GeV.
$CL_S$ limits on $\sigma \times B_{\Phi\rightarrow ss}$ for $m_{\Phi} = 1000$ GeV, $m_s = 400$ GeV.
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.
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.
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 $\sigma_\text{obs(exp)}^\text{95}$.
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 the electroweak production of charginos and sleptons decaying into final states with two electrons or muons is presented. The analysis is based on 139 fb$^{-1}$ of proton-proton collisions recorded by the ATLAS detector at the Large Hadron Collider at $\sqrt{s}=13$ TeV. Three $R$-parity-conserving scenarios where the lightest neutralino is the lightest supersymmetric particle are considered: the production of chargino pairs with decays via either $W$ bosons or sleptons, and the direct production of slepton pairs. The analysis is optimised for the first of these scenarios, but the results are also interpreted in the others. No significant deviations from the Standard Model expectations are observed and limits at 95 % confidence level are set on the masses of relevant supersymmetric particles in each of the scenarios. For a massless lightest neutralino, masses up to 420 GeV are excluded for the production of the lightest-chargino pairs assuming $W$-boson-mediated decays and up to 1 TeV for slepton-mediated decays, whereas for slepton-pair production masses up to 700 GeV are excluded assuming three generations of mass-degenerate sleptons.
Observed events and predicted background yields from the fit for the CRs. For backgrounds whose normalisation is extracted from the fit, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit for the CRs. For backgrounds whose normalisation is extracted from the fit, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit for the CRs. For backgrounds whose normalisation is extracted from the fit, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit for the CRs. For backgrounds whose normalisation is extracted from the fit, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields in the VRs. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields in the VRs. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields in the VRs. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields in the VRs. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Distributions of $m_{T2}$ in VR-top-low for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $m_{T2}$ in VR-top-low for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $m_{T2}$ in VR-top-low for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $m_{T2}$ in VR-top-low for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $m_{T2}$ in VR-top-high for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $m_{T2}$ in VR-top-high for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $m_{T2}$ in VR-top-high for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $m_{T2}$ in VR-top-high for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ in VR-WW-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ in VR-WW-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ in VR-WW-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ in VR-WW-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ in VR-WW-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ in VR-WW-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ in VR-WW-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ in VR-WW-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ significance in VR-VZ for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ significance in VR-VZ for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ significance in VR-VZ for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ significance in VR-VZ for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ significance in VR-top-WW for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ significance in VR-top-WW for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ significance in VR-top-WW for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ significance in VR-top-WW for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Breakdown of the dominant systematic uncertainties on background estimates in the inclusive SRs requiring $m_{T2}$>100 GeV after performing the profile likelihood fit. Note that the individual uncertainties can be correlated, and do not necessarily add up quadratically to the total background uncertainty. The percentages show the size of the uncertainty relative to the total expected background. "Top theoretical uncertainties" refers to $t\bar t$ theoretical uncertainties and the uncertainty associated to $Wt-t\bar t$ interference added quadratically.
Breakdown of the dominant systematic uncertainties on background estimates in the inclusive SRs requiring $m_{T2}$>100 GeV after performing the profile likelihood fit. Note that the individual uncertainties can be correlated, and do not necessarily add up quadratically to the total background uncertainty. The percentages show the size of the uncertainty relative to the total expected background. "Top theoretical uncertainties" refers to $t\bar t$ theoretical uncertainties and the uncertainty associated to $Wt-t\bar t$ interference added quadratically.
Breakdown of the dominant systematic uncertainties on background estimates in the inclusive SRs requiring $m_{T2}$>100 GeV after performing the profile likelihood fit. Note that the individual uncertainties can be correlated, and do not necessarily add up quadratically to the total background uncertainty. The percentages show the size of the uncertainty relative to the total expected background. "Top theoretical uncertainties" refers to $t\bar t$ theoretical uncertainties and the uncertainty associated to $Wt-t\bar t$ interference added quadratically.
Breakdown of the dominant systematic uncertainties on background estimates in the inclusive SRs requiring $m_{T2}$>100 GeV after performing the profile likelihood fit. Note that the individual uncertainties can be correlated, and do not necessarily add up quadratically to the total background uncertainty. The percentages show the size of the uncertainty relative to the total expected background. "Top theoretical uncertainties" refers to $t\bar t$ theoretical uncertainties and the uncertainty associated to $Wt-t\bar t$ interference added quadratically.
Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Distributions of $m_{T2}$ in SRSF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRSF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRSF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRSF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRSF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRSF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRSF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRSF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRDF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRDF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRDF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRDF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRDF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRDF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRDF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRDF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Observed exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.
Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.
Upper limits on signal cross-section (fb) for chargino-pair production with W -boson-mediated decays.
Upper limits on signal cross-section (fb) for chargino-pair production with W -boson-mediated decays.
Upper limits on signal cross-section (fb) for chargino-pair production with W -boson-mediated decays.
Upper limits on signal cross-section (fb) for chargino-pair production with W -boson-mediated decays.
Upper limits on signal cross-section (fb) for chargino-pair production with slepton/sneutrino-mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed.
Upper limits on signal cross-section (fb) for chargino-pair production with slepton/sneutrino-mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed.
Upper limits on signal cross-section (fb) for chargino-pair production with slepton/sneutrino-mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed.
Upper limits on signal cross-section (fb) for chargino-pair production with slepton/sneutrino-mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed.
Upper limits on signal cross-section (fb) for slepton-pair production.
Upper limits on signal cross-section (fb) for slepton-pair production.
Upper limits on signal cross-section (fb) for slepton-pair production.
Upper limits on signal cross-section (fb) for slepton-pair production.
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).
Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via $W^{\pm}W^{\mp}$. The masses of the two charginos are 300 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 50 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via $W^{\pm}W^{\mp}$. The masses of the two charginos are 300 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 50 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via $W^{\pm}W^{\mp}$. The masses of the two charginos are 300 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 50 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via $W^{\pm}W^{\mp}$. The masses of the two charginos are 300 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 50 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via slepton-neutrino/sneutrino-lepton pair. The masses of the two charginos are 600 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 1 GeV. The slepton/sneutrino masses are 300 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via slepton-neutrino/sneutrino-lepton pair. The masses of the two charginos are 600 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 1 GeV. The slepton/sneutrino masses are 300 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via slepton-neutrino/sneutrino-lepton pair. The masses of the two charginos are 600 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 1 GeV. The slepton/sneutrino masses are 300 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via slepton-neutrino/sneutrino-lepton pair. The masses of the two charginos are 600 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 1 GeV. The slepton/sneutrino masses are 300 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde\ell\tilde\ell$ are produced. Only $\tilde{e}$ and $\tilde{\mu}$ are considered in this model. The masses of the two sleptons are 400 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 200 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde\ell\tilde\ell$ are produced. Only $\tilde{e}$ and $\tilde{\mu}$ are considered in this model. The masses of the two sleptons are 400 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 200 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde\ell\tilde\ell$ are produced. Only $\tilde{e}$ and $\tilde{\mu}$ are considered in this model. The masses of the two sleptons are 400 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 200 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde\ell\tilde\ell$ are produced. Only $\tilde{e}$ and $\tilde{\mu}$ are considered in this model. The masses of the two sleptons are 400 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 200 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
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.