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.

Process: DM DM --> NUE NUEBAR. Half-cone angle GAMMA, 90% upper limit N(SIGNAL) on the number of signal events, the muon flux PHI(MU), the dark matter annihilation rate in the Sun GAMMA(ANN), the dark matter-proton spin-dependent SIG(SD) and spin-independent SIG(SI) scattering cross sections and neutrino flux PHI(NU).

Process: DM DM --> NUMU NUMUBAR. Half-cone angle GAMMA, 90% upper limit N(SIGNAL) on the number of signal events, the muon flux PHI(MU), the dark matter annihilation rate in the Sun GAMMA(ANN), the dark matter-proton spin-dependent SIG(SD) and spin-independent SIG(SI) scattering cross sections and neutrino flux PHI(NU).

Process: DM DM --> NUTAU NUTAUBAR. Half-cone angle GAMMA, 90% upper limit N(SIGNAL) on the number of signal events, the muon flux PHI(MU), the dark matter annihilation rate in the Sun GAMMA(ANN), the dark matter-proton spin-dependent SIG(SD) and spin-independent SIG(SI) scattering cross sections and neutrino flux PHI(NU).

The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction efficiency for three pseudorapidity ranges in 0-10% centrality interval.

The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction efficiency for three pseudorapidity ranges in 40-50% centrality interval.

The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction efficiency for three pseudorapidity ranges in 70-80% centrality interval.

The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction fake rate for three pseudorapidity ranges in 0-10% centrality interval.

The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction fake rate for three pseudorapidity ranges in 40-50% centrality interval.

The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction fake rate for three pseudorapidity ranges in 70-80% centrality interval.

The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction efficiency for three pseudorapidity ranges in 0-10% centrality interval.

The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction efficiency for three pseudorapidity ranges in 40-50% centrality interval.

The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction efficiency for three pseudorapidity ranges in 70-80% centrality interval.

The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction fake rate for three pseudorapidity ranges in 0-10% centrality interval.

The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction fake rate for three pseudorapidity ranges in 40-50% centrality interval.

The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction fake rate for three pseudorapidity ranges in 70-80% centrality interval.

Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 0-10% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.

Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 10-20% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.

Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 20-30% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.

Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 30-40% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.

Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 40-50% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.

Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 50-60% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.

Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 60-70% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.

Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 70-80% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.

Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 0-10% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.

Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 10-20% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.

Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 20-30% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.

Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 30-40% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.

Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 40-50% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.

Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 50-60% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.

Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 60-70% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.

Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 70-80% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.

Integrated elliptic flow, $v_{2}$, as a function of $|\eta| - y_{beam}$ for three centrality intervals Error bars indicate statistical and systematic uncertainties added in quadrature.

The transverse momentum, $p_{T}$, dependence of the TKT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 0-10% centrality interval.

The transverse momentum, $p_{T}$, dependence of the TKT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 40-50% centrality interval.

The transverse momentum, $p_{T}$, dependence of the TKT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 70-80% centrality interval.

The transverse momentum, $p_{T}$, dependence of the PXT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 0-10% centrality interval.

The transverse momentum, $p_{T}$, dependence of the PXT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 40-50% centrality interval.

The transverse momentum, $p_{T}$, dependence of the PXT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 70-80% centrality interval.

Median expected and observed 95% CL upper limits on the cross-section times branching ratio (sigma*B) for Z'_SSM production for the exclusive dimuon and dielectron channels, and for both channels combined.

Observed upper cross-section times branching ratio (sigma*B) limits at 95% CL for Z'_SSM, E6-motivated Z' and Z* bosons using the combined dilepton channel.

Expected and observed limits at 95% CL on the strength of the Z' boson coupling relative to that of the SM Z boson (gamma') for the combined dielectron and dimuon channels as a function of the Z' mass in the Minimal Z' Models parameterization, for three representative values of the mixing between the generators of the (B-L) and the weak hypercharge Y gauge groups (theta_Min). These are: tan(theta_Min) = 0 (Z'_B-L), tan(theta_Min) = -2 (Z'_3R) and tan(theta_Min) = -0.8 (Z'_chi).

Expected and observed limits at 95% CL on the strength of the Z' boson coupling relative to that of the SM Z boson (gamma') for the combined dielectron and dimuon channels as a function of the mixing between the generators of the (B-L) and the weak hypercharge Y gauge groups (theta_Min) in the Minimal Z' Models parameterization. The limits are set for several representative values of the mass of the Z' boson, M_Z' Minimal.

Expected and observed limits at 95% CL on the strength of the Z' boson coupling relative to that of the SM Z boson (gamma') for the combined dielectron and dimuon channels as a function of the mixing between the generators of the (B-L) and the weak hypercharge Y gauge groups (theta_Min) in the Minimal Z' Models parameterization. The limits are set for several representative values of the mass of the Z' boson, M_Z' Minimal.

Expected and observed limits at 95% CL on the strength of the Z' boson coupling relative to that of the SM Z boson (gamma') for the combined dielectron and dimuon channels as a function of the mixing between the generators of the (B-L) and the weak hypercharge Y gauge groups (theta_Min) in the Minimal Z' Models parameterization. The limits are set for several representative values of the mass of the Z' boson, M_Z' Minimal.

Expected and observed limits at 95% CL on the strength of the Z' boson coupling relative to that of the SM Z boson (gamma') for the combined dielectron and dimuon channels as a function of the mixing between the generators of the (B-L) and the weak hypercharge Y gauge groups (theta_Min) in the Minimal Z' Models parameterization. The limits are set for several representative values of the mass of the Z' boson, M_Z' Minimal.

Expected and observed limits at 95% CL on the strength of the Z' boson coupling relative to that of the SM Z boson (gamma') for the combined dielectron and dimuon channels as a function of the mixing between the generators of the (B-L) and the weak hypercharge Y gauge groups (theta_Min) in the Minimal Z' Models parameterization. The limits are set for several representative values of the mass of the Z' boson, M_Z' Minimal.

Expected and observed limits at 95% CL on the strength of the Z' boson coupling relative to that of the SM Z boson (gamma') for the combined dielectron and dimuon channels as a function of the mixing between the generators of the (B-L) and the weak hypercharge Y gauge groups (theta_Min) in the Minimal Z' Models parameterization. The limits are set for several representative values of the mass of the Z' boson, M_Z' Minimal.

Expected and observed limits at 95% CL on the strength of the Z' boson coupling relative to that of the SM Z boson (gamma') for the combined dielectron and dimuon channels as a function of the mixing between the generators of the (B-L) and the weak hypercharge Y gauge groups (theta_Min) in the Minimal Z' Models parameterization. The limits are set for several representative values of the mass of the Z' boson, M_Z' Minimal.

Expected and observed 95% CL limits on the coupling strength of the Randall-Sundrum G* to SM particles (k/Mpl) as a function of G* mass for the combination of the dielectron and dimuon channels.

Expected and observed 95% CL upper limits on cross-section times branching ratio for quantum black hole production in the extra dimensional models proposed by Arkani-Hamed, Dimopoulos and Dvali (ADD) and Randall-Sundrum (RS) for the combined dilepton channel.

Expected and observed 95% CL upper limits on production times branching ratio and theoretical prediction for G* production for the combination of the dielectron and dimuon channels.

Expected and observed 95% CL limits on technimeson R_1 in the MWT model for the combination of the dielectron and dimuon channels.

The effective mass distribution in VR2Z.

The ETmiss distribution in SR0noZa.

The effective mass distribution in SR0noZa.

The ETmiss distribution in SR1noZa.

The effective mass distribution in SR1noZa.

The ETmiss distribution in SR2noZa.

The effective mass distribution in SR2noZa.

The ETmiss distribution in SR0noZb.

The effective mass distribution in SR0noZb.

The ETmiss distribution in SR1noZb.

The effective mass distribution in SR1noZb.

The ETmiss distribution in SR2noZb.

The effective mass distribution in SR2noZb.

The ETmiss distribution in SR0Z.

The effective mass distribution in SR0Z.

The ETmiss distribution in SR1Z.

The effective mass distribution in SR1Z.

The ETmiss distribution in SR2Z.

The effective mass distribution in SR2Z.

Observed 95% CL exclusion contour for the RPV chargino NLSP model with lambda_121 != 0.

Expected 95% CL exclusion contour for the RPV chargino NLSP model with lambda_121 != 0.

Observed 95% CL exclusion contour for the RPV chargino NLSP model with lambda_122 != 0.

Expected 95% CL exclusion contour for the RPV chargino NLSP model with lambda_122 != 0.

Observed 95% CL exclusion contour for the RPV chargino NLSP model with lambda_133 != 0.

Expected 95% CL exclusion contour for the RPV chargino NLSP model with lambda_133 != 0.

Observed 95% CL exclusion contour for the RPV chargino NLSP model with lambda_233 != 0.

Expected 95% CL exclusion contour for the RPV chargino NLSP model with lambda_233 != 0.

Observed 95% CL exclusion contour for the RPV gluino NLSP model with lambda_121 != 0.

Expected 95% CL exclusion contour for the RPV gluino NLSP model with lambda_121 != 0.

Observed 95% CL exclusion contour for the RPV gluino NLSP model with lambda_122 != 0.

Expected 95% CL exclusion contour for the RPV gluino NLSP model with lambda_122 != 0.

Observed 95% CL exclusion contour for the RPV gluino NLSP model with lambda_133 != 0.

Expected 95% CL exclusion contour for the RPV gluino NLSP model with lambda_133 != 0.

Observed 95% CL exclusion contour for the RPV gluino NLSP model with lambda_233 != 0.

Expected 95% CL exclusion contour for the RPV gluino NLSP model with lambda_233 != 0.

Observed 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_121 != 0.

Expected 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_121 != 0.

Observed 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_122 != 0.

Expected 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_122 != 0.

Observed 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_133 != 0.

Expected 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_133 != 0.

Observed 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_233 != 0.

Expected 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_233 != 0.

Observed 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_121 != 0.

Expected 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_121 != 0.

Observed 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_122 != 0.

Expected 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_122 != 0.

Observed 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_133 != 0.

Expected 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_133 != 0.

Observed 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_233 != 0.

Expected 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_233 != 0.

Observed 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_121 != 0.

Expected 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_121 != 0.

Observed 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_122 != 0.

Expected 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_122 != 0.

Observed 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_133 != 0.

Expected 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_133 != 0.

Observed 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_233 != 0.

Expected 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_233 != 0.

Observed 95% CL exclusion contour for the R-slepton RPC model.

Expected 95% CL exclusion contour for the R-slepton RPC model.

Observed and expected 95% CL cross-section upper limits for the Stau RPC model, together with the theoretically predicted cross-section.

Observed and expected 95% CL cross-section upper limits for the Z RPC model, together with the theoretically predicted cross-section.

Observed 95% CL exclusion contour for the GGM tan beta = 1.5 model.

Expected 95% CL exclusion contour for the GGM tan beta = 1.5 model.

Observed 95% CL exclusion contour for the GGM tan beta = 30 model.

Expected 95% CL exclusion contour for the GGM tan beta = 30 model.

Observed 95% CL cross-section upper limit for the RPV chargino NLSP models with lambda_121 != 0 and lambda_122 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV chargino NLSP models with lambda_133 != 0 and lambda_233 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV gluino NLSP models with lambda_121 != 0 and lambda_122 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV gluino NLSP models with lambda_133 != 0 and lambda_233 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV Lslepton NLSP models with lambda_121 != 0 and lambda_122 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV Lslepton NLSP models with lambda_133 != 0 and lambda_233 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV Rslepton NLSP models with lambda_121 != 0 and lambda_122 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV Rslepton NLSP models with lambda_133 != 0 and lambda_233 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV sneutrino NLSP models with lambda_121 != 0 and lambda_122 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV sneutrino NLSP models with lambda_133 != 0 and lambda_233 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the R-slepton RPC model, and the selection of Z-veto signal regions used to set limits in this model. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bbb' means that the regions SR0noZb, SR1noZb and SR2noZb were used, in addition to the three Z-rich regions (SR0-2Z). For the RPC stau and Z models, the ``aaa' combination of regions was used throughout.

Performance of the SR0noZa selection in the R-slepton RPC model: number of generated signal events; total signal cross-section; acceptance; efficiency; total experimental systematic uncertainty, not including Monte Carlo statistics; observed CL using this region alone; expected CL using this region alone.

Performance of the SR0noZb selection in the RPV chargino NLSP model with lambda_121 != 0: number of generated signal events; total signal cross-section; acceptance; efficiency; total experimental systematic uncertainty, not including Monte Carlo statistics; observed CL using this region alone; expected CL using this region alone.

Performance of the SR1noZa selection in the RPV sneutrino NLSP model with lambda_233 != 0: number of generated signal events; total signal cross-section; acceptance; efficiency; total experimental systematic uncertainty, not including Monte Carlo statistics; observed CL using this region alone; expected CL using this region alone.

Performance of the SR1noZb selection in the RPV gluino NLSP model with lambda_133 != 0: number of generated signal events; total signal cross-section; acceptance; efficiency; total experimental systematic uncertainty, not including Monte Carlo statistics; observed CL using this region alone; expected CL using this region alone.

Performance of the SR2noZa selection in the RPV sneutrino NLSP model with lambda_233 != 0: number of generated signal events; total signal cross-section; acceptance; efficiency; total experimental systematic uncertainty, not including Monte Carlo statistics; observed CL using this region alone; expected CL using this region alone.

Performance of the SR2noZb selection in the RPV gluino NLSP model with lambda_133 != 0: number of generated signal events; total signal cross-section; acceptance; efficiency; total experimental systematic uncertainty, not including Monte Carlo statistics; observed CL using this region alone; expected CL using this region alone.

Performance of the SR0Z selection in the GGM tan beta = 30 model: number of generated signal events; total signal cross-section; acceptance; efficiency; total experimental systematic uncertainty, not including Monte Carlo statistics; observed CL using this region alone; expected CL using this region alone.

Cut flows for a representative selection of SUSY signal points in the Z-veto signal regions. In each case, m2 and m1 refer to the axes of the plots in Sec. XI, where m2 is the larger of the two masses. The number of events expected for a luminosity of 20.3 fb-1 is quoted at each step of the selection. The preselection requires four baseline leptons, at least two of which are light leptons; the signal lepton selection is made at the ``Lepton Multiplicity' stage. ``Event Cleaning' refers to the selection criteria applied to remove non-collision backgrounds and detector noise.

Cut flows for a representative selection of SUSY signal points in the Z-rich signal regions. In each case, m2 and m1 refer to the axes of the plots in Sec. XI, where m2 is the larger of the two masses (or the value of mu in the case of GGM models). The number of events expected for a luminosity of 20.3 fb-1 is quoted at each step of the selection. The preselection requires four baseline leptons, at least two of which are light leptons; the signal lepton selection is made at the ``Lepton Multiplicity' stage. ``Event Cleaning' refers to the selection criteria applied to remove non-collision backgrounds and detector noise.

Cut flows by lepton channel for a representative selection of SUSY signal points in the SR0noZa signal region. In each case, m2 and m1 refer to the axes of the plots in Sec. XI, where m2 is the larger of the two masses. The number of events expected for a luminosity of 20.3 fb-1 is quoted at each step of the selection. The preselection requires four baseline leptons, at least two of which are light leptons; the signal lepton selection is made at the ``Lepton Multiplicity' stage. ``Event Cleaning' refers to the selection criteria applied to remove non-collision backgrounds and detector noise. The RPC R-slepton model is used, with (m2,m1) = (450,300) GeV.

Cut flows by lepton channel for a representative selection of SUSY signal points in the SR1noZb signal region. In each case, m2 and m1 refer to the axes of the plots in Sec. XI, where m2 is the larger of the two masses. The number of events expected for a luminosity of 20.3 fb-1 is quoted at each step of the selection. The preselection requires four baseline leptons, at least two of which are light leptons; the signal lepton selection is made at the ``Lepton Multiplicity' stage. ``Event Cleaning' refers to the selection criteria applied to remove non-collision backgrounds and detector noise. The RPV gluino NLSP model is used, with lambda_133 != 0 and (m2,m1) = (800,400) GeV.

Cut flows by lepton channel for a representative selection of SUSY signal points in the SR0Z signal region. In each case, m2 and m1 refer to the axes of the plots in Sec. XI, where m2 is the value of mu. The number of events expected for a luminosity of 20.3 fb-1 is quoted at each step of the selection. The preselection requires four baseline leptons, at least two of which are light leptons; the signal lepton selection is made at the ``Lepton Multiplicity' stage. ``Event Cleaning' refers to the selection criteria applied to remove non-collision backgrounds and detector noise. The GGM tan beta = 30 model is used, with (m2,m1) = (200,1000) GeV.

The effective mass distribution in 3-jet signal region.

The effective mass distribution in 4-jet (W) signal region.

The effective mass distribution in 4-jet very-loose and loose signal regions.

The effective mass distribution in 4-jet medium signal region.

The effective mass distribution in 4-jet tight signal region.

The effective mass distribution in 5-jet signal region.

The effective mass distribution in 6-jet loose and medium signal regions.

The effective mass distribution in 6-jet tight signal region.

The effective mass distribution in 6-jet very-tight signal region.

Observed limit 95% CL.

Expected limit 95% CL.

Observed limit 95% CL +1 sigma.

Observed limit 95% CL -1 sigma.

Expected limit 95% CL +1 sigma.

Expected limit 95% CL -1 sigma.

Observed limit 95% CL.

Expected limit 95% CL.

Observed limit 95% CL +1 sigma.

Observed limit 95% CL -1 sigma.

Expected limit 95% CL +1 sigma.

Expected limit 95% CL -1 sigma.

Observed limit 95% CL (m_chi^0_1=0GeV).

Expected limit 95% CL (m_chi^0_1=0GeV).

Observed limit 95% CL +1 sigma (m_chi^0_1=0GeV).

Observed limit 95% CL -1 sigma (m_chi^0_1=0GeV).

Expected limit 95% CL +1 sigma (m_chi^0_1=0GeV).

Expected limit 95% CL -1 sigma (m_chi^0_1=0GeV).

Observed limit 95% CL (m_chi^0_1=395GeV).

Expected limit 95% CL (m_chi^0_1=395GeV).

Observed limit 95% CL (m_chi^0_1=695GeV).

Expected limit 95% CL (m_chi^0_1=695GeV).

Expected limit 95% CL.

Expected limit 95% CL -1 sigma.

Expected limit 95% CL +1 sigma.

Observed limit 95% CL -1 sigma.

Observed limit 95% CL +1 sigma.

Observed limit 95% CL.

Expected limit 95% CL.

Expected limit 95% CL -1 sigma.

Expected limit 95% CL +1 sigma.

Observed limit 95% CL -1 sigma.

Observed limit 95% CL +1 sigma.

Observed limit 95% CL.

Expected limit 95% CL.

Expected limit 95% CL -1 sigma.

Expected limit 95% CL +1 sigma.

Observed limit 95% CL -1 sigma.

Observed limit 95% CL +1 sigma.

Observed limit 95% CL.

Observed CLs contour for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed CLs contour with plus 1-sigma signal cross-section uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed CLs contour with minus 1-sigma signal cross-section uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Expected CLs contour for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Expected CLs contour with plus 1-sigma experimental uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Expected CLs contour with minus 1-sigma experimental uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed CLs contour for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed CLs contour with plus 1-sigma signal cross-section uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed CLs contour with minus 1-sigma signal cross-section uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Expected CLs contour for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Expected CLs contour with plus 1-sigma experimental uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Expected CLs contour with minus 1-sigma experimental uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed CLs contour for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Observed CLs contour with plus 1-sigma signal cross-section uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Observed CLs contour with minus 1-sigma signal cross-section uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Expected CLs contour for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Expected CLs contour with plus 1-sigma experimental uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

First of two expected CLs contours with minus 1-sigma experimental uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Second of two expected CLs contours with minus 1-sigma experimental uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Observed CLs contour for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Observed CLs contour with plus 1-sigma signal cross-section uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Observed CLs contour with minus 1-sigma signal cross-section uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Expected CLs contour for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Expected CLs contour with plus 1-sigma experimental uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Expected CLs contour with minus 1-sigma experimental uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Expected limit 95% CL -1 sigma.

Expected limit 95% CL +1 sigma.

Observed limit 95% CL -1 sigma.

Observed limit 95% CL +1 sigma.

Observed limit 95% CL.

Expected limit 95% CL.

Expected limit 95% CL.

Expected limit 95% CL -1 sigma.

Expected limit 95% CL +1 sigma.

Observed limit 95% CL -1 sigma.

Observed limit 95% CL +1 sigma.

Observed limit 95% CL.

Signal region for points.

Signal region for points.

Signal region for points (m_chi^0_1=0GeV).

Signal region for points (m_chi^0_1=395GeV).

Signal region for points (m_chi^0_1=695GeV).

Observed 95% CL cross-section upper limit for pair-produced gluinos decaying directly.

Observed 95% CL cross-section upper limit for associated gluino-squark production.

Observed 95% CL cross-section upper limit for pair-produced squarks decaying directly.

Observed 95% CL cross-section upper limit for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed 95% CL cross-section upper limit for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed 95% CL cross-section upper limit for the pair-produced squarks each decaying via an intermediate chargino1 to quark, a W boson and a neutralino1.

Observed 95% CL cross-section upper limit for the pair-produced squarks each decaying via an intermediate chargino1 to quark, a W boson and a neutralino1.

Signal region for points.

Observed 95% CL cross-section upper limit for pair-produced gluinos decaying via stops into top+charm+neutralino1.

Production cross-section in PB.

Signal acceptance in PCT for SR2jl.

Signal acceptance times reconstruction efficiency in PCT for SR2jl.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jl.

Signal acceptance in PCT for SR2jm.

Signal acceptance times reconstruction efficiency in PCT for SR2jm.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jm.

Signal acceptance in PCT for SR2jt.

Signal acceptance times reconstruction efficiency in PCT for SR2jt.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jt.

Signal acceptance in PCT for SR2jW.

Signal acceptance times reconstruction efficiency in PCT for SR2jW.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jW.

Signal acceptance in PCT for SR3j.

Signal acceptance times reconstruction efficiency in PCT for SR3j.

Uncertainty on signal acceptance times reconstruction efficiency for SR3j.

Signal acceptance in PCT for SR4jW.

Signal acceptance times reconstruction efficiency in PCT for SR4jW.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jW.

Signal acceptance in PCT for SR4jl-.

Signal acceptance times reconstruction efficiency in PCT for SR4jl-.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jl-.

Signal acceptance in PCT for SR4jl.

Signal acceptance times reconstruction efficiency in PCT for SR4jl.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jl.

Signal acceptance in PCT for SR4jm.

Signal acceptance times reconstruction efficiency in PCT for SR4jm.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jm.

Signal acceptance in PCT for SR4jt.

Signal acceptance times reconstruction efficiency in PCT for SR4jt.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jt.

Signal acceptance in PCT for SR5j.

Signal acceptance times reconstruction efficiency in PCT for SR5j.

Uncertainty on signal acceptance times reconstruction efficiency for SR5j.

Signal acceptance in PCT for SR6jl.

Signal acceptance times reconstruction efficiency in PCT for SR6jl.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jl.

Signal acceptance in PCT for SR6jm.

Signal acceptance times reconstruction efficiency in PCT for SR6jm.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jm.

Signal acceptance in PCT for SR6jt.

Signal acceptance times reconstruction efficiency in PCT for SR6jt.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jt.

Signal acceptance in PCT for SR6jt+.

Signal acceptance times reconstruction efficiency in PCT for SR6jt+.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jt+.

Production cross-section in PB.

Signal acceptance in PCT for SR2jl.

Signal acceptance times reconstruction efficiency in PCT for SR2jl.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jl.

Signal acceptance in PCT for SR2jm.

Signal acceptance times reconstruction efficiency in PCT for SR2jm.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jm.

Signal acceptance in PCT for SR2jt.

Signal acceptance times reconstruction efficiency in PCT for SR2jt.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jt.

Signal acceptance in PCT for SR2jW.

Signal acceptance times reconstruction efficiency in PCT for SR2jW.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jW.

Signal acceptance in PCT for SR3j.

Signal acceptance times reconstruction efficiency in PCT for SR3j.

Uncertainty on signal acceptance times reconstruction efficiency for SR3j.

Signal acceptance in PCT for SR4jW.

Signal acceptance times reconstruction efficiency in PCT for SR4jW.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jW.

Signal acceptance in PCT for SR4jl-.

Signal acceptance times reconstruction efficiency in PCT for SR4jl-.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jl-.

Signal acceptance in PCT for SR4jl.

Signal acceptance times reconstruction efficiency in PCT for SR4jl.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jl.

Signal acceptance in PCT for SR4jm.

Signal acceptance times reconstruction efficiency in PCT for SR4jm.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jm.

Signal acceptance in PCT for SR4jt.

Signal acceptance times reconstruction efficiency in PCT for SR4jt.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jt.

Signal acceptance in PCT for SR5j.

Signal acceptance times reconstruction efficiency in PCT for SR5j.

Uncertainty on signal acceptance times reconstruction efficiency for SR5j.

Signal acceptance in PCT for SR6jl.

Signal acceptance times reconstruction efficiency in PCT for SR6jl.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jl.

Signal acceptance in PCT for SR6jm.

Signal acceptance times reconstruction efficiency in PCT for SR6jm.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jm.

Signal acceptance in PCT for SR6jt.

Signal acceptance times reconstruction efficiency in PCT for SR6jt.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jt.

Signal acceptance in PCT for SR6jt+.

Signal acceptance times reconstruction efficiency in PCT for SR6jt+.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jt+.

Etmiss distribution for SRC1 after all selection requirements except those on Etmiss.

Etmiss distribution for SRC2 after all selection requirements except those on Etmiss.

Etmiss distribution for SRC3 after all selection requirements except those on Etmiss.

Observed exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario.

Expected exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario.

Observed exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=50%.

Expected exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=50%.

Observed exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=100%.

Expected exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=100%.

Observed exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=75%.

Expected exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=75%.

Observed exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=50%.

Expected exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=50%.

Observed exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=25%.

Expected exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=25%.

Observed exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=0%.

Expected exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=0%.

Nominal observed excluded cross sections at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario, once corrected by the recorded luminosity and the efficiency times acceptance of the model itself.

Signal region (SR) combination providing the lowest expected CLs in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario.

Signal region (SR) combination providing the lowest expected CLs in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=75%.

Signal region (SR) combination providing the lowest expected CLs in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=50%.

Signal region (SR) combination providing the lowest expected CLs in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=25%.

Signal region (SR) combination providing the lowest expected CLs in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=0%.

Signal acceptance for the different signal regions (SR) in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario with both stops decaying to top+neutralino. The acceptance is defined in Appendix A of arXiv:1403.4853.

Signal efficiency for the different signal regions (SR) in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario with both stops decaying to top+neutralino.

Signal acceptance for the different signal regions (SR) in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario with both stops decaying to b+chargino. The acceptance is defined in Appendix A of arXiv:1403.4853.

Signal efficiency for the different signal regions (SR) in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario with both stops decaying to b+chargino.

Number of generated Monte Carlo events in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino.

Number of generated Monte Carlo events in the ( M(STOP), M(NEUTRALINO) ) mass plane in the stop pair production scenario where both stops decay to b+chargino.

Stop signal production cross sections in the ( M(STOP), M(NEUTRALINO) ) mass plane.

Total experimental systematic uncertainty in percent on the signal yield for SRA1 in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Total experimental systematic uncertainty in percent on the signal yield for SRA2 in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Total experimental systematic uncertainty in percent on the signal yield for SRA3 in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Total experimental systematic uncertainty in percent on the signal yield for SRA4 in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Total experimental systematic uncertainty in percent on the signal yield for SRB in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Total experimental systematic uncertainty in percent on the signal yield for SRC1 in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Total experimental systematic uncertainty in percent on the signal yield for SRC2 in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Total experimental systematic uncertainty in percent on the signal yield for SRC3 in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Observed and expected CLs in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario. The value for the best expected signal region combination is shown.

D(z) distribution for R=0.4 jets.

D(z) distribution for R=0.4 jets.

D(z) distribution for R=0.4 jets.

D(z) distribution for R=0.4 jets.

D(z) distribution for R=0.4 jets.

D(z) distribution for R=0.4 jets.

D(z) distribution for R=0.3 jets.

D(z) distribution for R=0.3 jets.

D(z) distribution for R=0.3 jets.

D(z) distribution for R=0.3 jets.

D(z) distribution for R=0.3 jets.

D(z) distribution for R=0.3 jets.

D(z) distribution for R=0.3 jets.

D(z) distribution for R=0.2 jets.

D(z) distribution for R=0.2 jets.

D(z) distribution for R=0.2 jets.

D(z) distribution for R=0.2 jets.

D(z) distribution for R=0.2 jets.

D(z) distribution for R=0.2 jets.

D(z) distribution for R=0.2 jets.

D(pt) distribution for R=0.4 jets.

D(pt) distribution for R=0.4 jets.

D(pt) distribution for R=0.4 jets.

D(pt) distribution for R=0.4 jets.

D(pt) distribution for R=0.4 jets.

D(pt) distribution for R=0.4 jets.

D(pt) distribution for R=0.4 jets.

D(pt) distribution for R=0.3 jets.

D(pt) distribution for R=0.3 jets.

D(pt) distribution for R=0.3 jets.

D(pt) distribution for R=0.3 jets.

D(pt) distribution for R=0.3 jets.

D(pt) distribution for R=0.3 jets.

D(pt) distribution for R=0.3 jets.

D(pt) distribution for R=0.2 jets.

D(pt) distribution for R=0.2 jets.

D(pt) distribution for R=0.2 jets.

D(pt) distribution for R=0.2 jets.

D(pt) distribution for R=0.2 jets.

D(pt) distribution for R=0.2 jets.

D(pt) distribution for R=0.2 jets.

Ratio of D(z) distributions for R=0.4 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.4 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.4 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.4 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.4 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.4 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.3 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.3 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.3 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.3 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.3 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.3 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.2 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.2 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.2 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.2 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.2 jets for central to peripheral events.

Ratio of D(z) distributions for R=0.2 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.4 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.4 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.4 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.4 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.4 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.4 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.3 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.3 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.3 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.3 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.3 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.3 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.2 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.2 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.2 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.2 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.2 jets for central to peripheral events.

Ratio of D(pt) distributions for R=0.2 jets for central to peripheral events.