Tminor distribution.

Oblateness distribution.

Sphericity distribution.

Aplanarity distribution.

C-parameter distribution.

Thrust distribution.

Heavy Jet Mass distribution.

Total Jet Broadening distribution.

Wide Jet Broadening distribution.

Jet rates using the JADE E0 scheme as a function of ycut (the cut-off parameter).

Jet rates using the Durham Scheme as a function of ycut (the cut-off parameter).

Jet rates using the Cone algorithm as a function of the cone size R. Minimum jet energy is fixed at 7 GeV.

Jet rates using the Cone algorithm as a function of the minimum jet energy.The cone size is fixed at 0.7 radians.

Differential two jet rate using the Durham jet finding algorithm.

Fragmentation function.

The ln(1/xe) distribution.

Multiplicity distribution of charged particles.

Rapidity distribution of charged particles.

PTIN distribution.

PTOUT distribution.

The measured ratio of prompt negative to positive kaon production at 7000 GeV.

The measured ratio of prompt negative to positive pion production at 900 GeV.

The measured ratio of prompt negative to positive pion production at 7000 GeV.

The measured ratio of prompt proton+antiproton to charged pion production at 900 GeV.

The measured ratio of prompt proton+antiproton to charged pion production at 7000 GeV.

The measured ratio of prompt charged kaon to charged pion production at 900 GeV.

The measured ratio of prompt charged kaon to charged pion production at 7000 GeV.

The measured ratio of prompt proton+antiproton to charged kaon production at 900 GeV.

The measured ratio of prompt proton+antiproton to charged kaon production at 7000 GeV.

Distribution of the invariant mass of the P-LAMBDA subsystem at beam momentum 2.75 GeV.

Distribution of the invariant mass of the K-LAMBDA subsystem at beam momentum 2.75 GeV.

Angular distributions of the LAMBDA in reference to the proton direction inthe K-LAMBDA cm system for a beam momentum of 2.85 GeV.

Angular distributions of the LAMBDA in reference to the proton direction inthe K-LAMBDA cm system for a beam momentum of 2.85 GeV.

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.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 1$^\text{st}$ jet $p_{\text{T}}$, $p_{\text{T}}(\text{j}_1)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 2$^\text{nd}$ jet $p_{\text{T}}$, $p_{\text{T}}(\text{j}_2)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 2$^\text{nd}$ jet $p_{\text{T}}$, $p_{\text{T}}(\text{j}_2)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 3$^\text{rd}$ jet $p_{\text{T}}$, $p_{\text{T}}(\text{j}_3)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 3$^\text{rd}$ jet $p_{\text{T}}$, $p_{\text{T}}(\text{j}_3)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 4$^\text{th}$ jet $p_{\text{T}}$, $p_{\text{T}}(\text{j}_4)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 4$^\text{th}$ jet $p_{\text{T}}$, $p_{\text{T}}(\text{j}_4)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 5$^\text{th}$ jet $p_{\text{T}}$, $p_{\text{T}}(\text{j}_5)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 5$^\text{th}$ jet $p_{\text{T}}$, $p_{\text{T}}(\text{j}_5)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 1$^\text{st}$ jet $|y|$, $|y(\text{j}_1)|$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 1$^\text{st}$ jet $|y|$, $|y(\text{j}_1)|$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 2$^\text{nd}$ jet $|y|$, $|y(\text{j}_2)|$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 2$^\text{nd}$ jet $|y|$, $|y(\text{j}_2)|$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 3$^\text{rd}$ jet $|y|$, $|y(\text{j}_3)|$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 3$^\text{rd}$ jet $|y|$, $|y(\text{j}_3)|$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 4$^\text{th}$ jet $|y|$, $|y(\text{j}_4)|$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 4$^\text{th}$ jet $|y|$, $|y(\text{j}_4)|$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 5$^\text{th}$ jet $|y|$, $|y(\text{j}_5)|$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the 5$^\text{th}$ jet $|y|$, $|y(\text{j}_5)|$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the Z boson $|y|$, $|y(\text{Z})|$, for events with at least one jet and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the Z boson $|y|$, $|y(\text{Z})|$, for events with at least one jet.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the Z boson $|y|$, $|y(\text{Z})|$ for events with at least one jet and $p_\text{T}(\text{Z}) > 150\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the Z boson $|y|$, $|y(\text{Z})|$ for events with at least one jet and $p_\text{T}(\text{Z}) > 150\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the Z boson $|y|$, $|y(\text{Z})|$ for events with at least $p_\text{T}(\text{Z}) > 300\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the Z boson $|y|$, $|y(\text{Z})|$ for events with at least $p_\text{T}(\text{Z}) > 300\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{diff}}$ of the Z boson and the leading jet, $y_{\text{diff}}(\text{Z}, \text{j}_1)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{diff}}$ of the Z boson and the leading jet, $y_{\text{diff}}(\text{Z}, \text{j}_1)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{diff}}$ of the Z boson and the leading jet, $y_{\text{diff}}(\text{Z}, \text{j}_1)$ for events with $p_{\text{T}}(\text{Z}) > 150\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{diff}}$ of the Z boson and the leading jet, $y_{\text{diff}}(\text{Z}, \text{j}_1)$ for events with $p_{\text{T}}(\text{Z}) > 150\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{diff}}$ of the Z boson and the leading jet, $y_{\text{diff}}(\text{Z}, \text{j}_1)$ for events with $p_{\text{T}}(\text{Z}) > 300\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{diff}}$ of the Z boson and the leading jet, $y_{\text{diff}}(\text{Z}, \text{j}_1)$ for events with $p_{\text{T}}(\text{Z}) > 300\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{diff}}$ of the Z boson and the 2$^\text{nd}$leading jet, $y_{\text{diff}}(\text{Z}, \text{j}_2)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{diff}}$ of the Z boson and the 2$^\text{nd}$leading jet, $y_{\text{diff}}(\text{Z}, \text{j}_2)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{diff}}$ of the Z boson and the 3$^\text{rd}$leading jet, $y_{\text{diff}}(\text{Z}, \text{j}_3)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{diff}}$ of the Z boson and the 3$^\text{rd}$leading jet, $y_{\text{diff}}(\text{Z}, \text{j}_3)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{diff}}$ of the Z boson and the system constituted of the two leading jets, $y_{\text{diff}}(\text{Z}, \text{dijet})$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{diff}}$ of the Z boson and the system constituted of the two leading jets, $y_{\text{diff}}(\text{Z}, \text{dijet})$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{diff}}$ of the two leading jets, $y_{\text{diff}}(\text{j}_1, \text{j}_2)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{diff}}$ of the two leading jets, $y_{\text{diff}}(\text{j}_1, \text{j}_2)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{sum}}$ of the two leading jets, $y_{\text{sum}}(\text{j}_1, \text{j}_2)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{sum}}$ of the two leading jets, $y_{\text{sum}}(\text{j}_1, \text{j}_2)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{sum}}$ of the Z boson and the leading jet, $y_{\text{sum}}(\text{Z}, \text{j}_1)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{sum}}$ of the Z boson and the leading jet, $y_{\text{sum}}(\text{Z}, \text{j}_1)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{sum}}$ of the Z boson and the leading jet, $y_{\text{sum}}(\text{Z}, \text{j}_1)$ for events with $p_{\text{T}}(\text{Z}) > 150\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{sum}}$ of the Z boson and the leading jet, $y_{\text{sum}}(\text{Z}, \text{j}_1)$ for events with $p_{\text{T}}(\text{Z}) > 150\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{sum}}$ of the Z boson and the leading jet, $y_{\text{sum}}(\text{Z}, \text{j}_1)$ for events with $p_{\text{T}}(\text{Z}) > 300\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{sum}}$ of the Z boson and the leading jet, $y_{\text{sum}}(\text{Z}, \text{j}_1)$ for events with $p_{\text{T}}(\text{Z}) > 300\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{sum}}$ of the Z boson and the 2$^\text{nd}$leading jet, $y_{\text{sum}}(\text{Z}, \text{j}_2)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{sum}}$ of the Z boson and the 2$^\text{nd}$leading jet, $y_{\text{sum}}(\text{Z}, \text{j}_2)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{sum}}$ of the Z boson and the 3$^\text{rd}$leading jet, $y_{\text{sum}}(\text{Z}, \text{j}_3)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{sum}}$ of the Z boson and the 3$^\text{rd}$leading jet, $y_{\text{sum}}(\text{Z}, \text{j}_3)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{sum}}$ of the Z boson and the system constituted of the two leading jets, $y_{\text{sum}}(\text{Z}, \text{dijet})$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the $y_{\text{sum}}$ of the Z boson and the system constituted of the two leading jets, $y_{\text{sum}}(\text{Z}, \text{dijet})$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of $H_\text{T}$ for events with at least one jet, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of $H_\text{T}$ for events with at least one jet.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of $H_\text{T}$ for events with at least two jets, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of $H_\text{T}$ for events with at least two jets.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of $H_\text{T}$ for events with at least three jets, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of $H_\text{T}$ for events with at least three jets.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of $H_\text{T}$ for events with at least four jets, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of $H_\text{T}$ for events with at least four jets.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of $H_\text{T}$ for events with at least five jets, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of $H_\text{T}$ for events with at least five jets.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet for events with at least ine jet, $\Delta\Phi(\text{Z},\text{j}_1)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet for events with at least ine jet, $\Delta\Phi(\text{Z},\text{j}_1)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet for events with at least two jets, $\Delta\Phi(\text{Z},\text{j}_1)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet for events with at least two jets, $\Delta\Phi(\text{Z},\text{j}_1)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet for events with at least three jets, $\Delta\Phi(\text{Z},\text{j}_1)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet for events with at least three jets, $\Delta\Phi(\text{Z},\text{j}_1)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 2$^\text{nd}$ leading jet for events with at least three jets, $\Delta\Phi(\text{Z},\text{j}_1)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 2$^\text{nd}$ leading jet for events with at least three jets, $\Delta\Phi(\text{Z},\text{j}_1)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 3$^\text{rd}$ leading jet for events with at least three jets, $\Delta\Phi(\text{Z},\text{j}_1)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 3$^\text{rd}$ leading jet for events with at least three jets, $\Delta\Phi(\text{Z},\text{j}_1)$.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet$\Delta\Phi(\text{Z},\text{j}_1)$, for events with $p_{\text{T}}(\text{Z})>150\,$GeV and at least two jets, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet$\Delta\Phi(\text{Z},\text{j}_1)$, for events with $p_{\text{T}}(\text{Z})>150\,$GeV and at least two jets.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet$\Delta\Phi(\text{Z},\text{j}_1)$, for events with $p_{\text{T}}(\text{Z})>150\,$GeV and at least two jets, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet$\Delta\Phi(\text{Z},\text{j}_1)$, for events with $p_{\text{T}}(\text{Z})>150\,$GeV and at least two jets.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet$\Delta\Phi(\text{Z},\text{j}_1)$, for events with $p_{\text{T}}(\text{Z})>150\,$GeV and at least three jets, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet$\Delta\Phi(\text{Z},\text{j}_1)$, for events with $p_{\text{T}}(\text{Z})>150\,$GeV and at least three jets.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 2$^{\text{nd}}$ leading jet$\Delta\Phi(\text{Z},\text{j}_2)$, for events with $p_{\text{T}}(\text{Z})>150\,$GeV and at least three jets, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 2$^{\text{nd}}$ leading jet$\Delta\Phi(\text{Z},\text{j}_2)$, for events with $p_{\text{T}}(\text{Z})>150\,$GeV and at least three jets.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 3$^{\text{rd}}$ leading jet$\Delta\Phi(\text{Z},\text{j}_3)$, for events with $p_{\text{T}}(\text{Z})>150\,$GeV and at least three jets, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 3$^{\text{rd}}$ leading jet$\Delta\Phi(\text{Z},\text{j}_3)$, for events with $p_{\text{T}}(\text{Z})>150\,$GeV and at least three jets.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet, $\Delta\Phi(\text{Z},\text{j}_1)$, for events with $p_{\text{T}}(\text{Z})>300\,$GeV and at least one jet, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet, $\Delta\Phi(\text{Z},\text{j}_1)$, for events with $p_{\text{T}}(\text{Z})>300\,$GeV and at least one jet.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet, $\Delta\Phi(\text{Z},\text{j}_1)$, for events with $p_{\text{T}}(\text{Z})>300\,$GeV and at least two jets, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet, $\Delta\Phi(\text{Z},\text{j}_1)$, for events with $p_{\text{T}}(\text{Z})>300\,$GeV and at least two jets.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet, $\Delta\Phi(\text{Z},\text{j}_1)$, for events with $p_{\text{T}}(\text{Z})>300\,$GeV and at least three jets, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet, $\Delta\Phi(\text{Z},\text{j}_1)$, for events with $p_{\text{T}}(\text{Z})>300\,$GeV and at least three jets.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 2$^{\text{nd}}$ leading jet, $\Delta\Phi(\text{Z},\text{j}_2)$, for events with $p_{\text{T}}(\text{Z})>300\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 2$^{\text{nd}}$ leading jet, $\Delta\Phi(\text{Z},\text{j}_2)$, for events with $p_{\text{T}}(\text{Z})>300\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 3$^{\text{rd}}$ leading jet, $\Delta\Phi(\text{Z},\text{j}_3)$, for events with $p_{\text{T}}(\text{Z})>300\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 3$^{\text{rd}}$ leading jet, $\Delta\Phi(\text{Z},\text{j}_3)$, for events with $p_{\text{T}}(\text{Z})>300\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet, $\Delta\Phi(\text{Z},\text{j}_1)$, for events with at least three jets, $p_{\text{T}}(\text{Z})>150\,$GeV, and $H_{\text{T}}>300\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the leading jet, $\Delta\Phi(\text{Z},\text{j}_1)$, for events with at least three jets, $p_{\text{T}}(\text{Z})>150\,$GeV, and $H_{\text{T}}>300\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 2$^{\text{nd}}$ leading jet, $\Delta\Phi(\text{Z},\text{j}_2)$, for events with at least three jets, $p_{\text{T}}(\text{Z})>150\,$GeV, and $H_{\text{T}}>300\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 2$^{\text{nd}}$ leading jet, $\Delta\Phi(\text{Z},\text{j}_2)$, for events with at least three jets, $p_{\text{T}}(\text{Z})>150\,$GeV, and $H_{\text{T}}>300\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 3$^{\text{rd}}$ leading jet, $\Delta\Phi(\text{Z},\text{j}_1)$, for events with at least three jets, $p_{\text{T}}(\text{Z})>150\,$GeV, and $H_{\text{T}}>300\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the Z boson and the 3$^{\text{rd}}$ leading jet, $\Delta\Phi(\text{Z},\text{j}_1)$, for events with at least three jets, $p_{\text{T}}(\text{Z})>150\,$GeV, and $H_{\text{T}}>300\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the two leading jets, $\Delta\Phi(\text{j}_1,\text{j}_2)$, for events with at least three jets, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the two leading jets, $\Delta\Phi(\text{j}_1,\text{j}_2)$, for events with at least three jets.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the two 1$^{\text{st}}$ and 3$^{\text{rd}}$ leading jets, $\Delta\Phi(\text{j}_1,\text{j}_3)$, for events with at least three jets, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the two 1$^{\text{st}}$ and 3$^{\text{rd}}$ leading jets, $\Delta\Phi(\text{j}_1,\text{j}_3)$, for events with at least three jets.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the two 2$^{\text{nd}}$ and 3$^{\text{rd}}$ leading jets, $\Delta\Phi(\text{j}_1,\text{j}_3)$, for events with at least three jets, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the two 2$^{\text{nd}}$ and 3$^{\text{rd}}$ leading jets, $\Delta\Phi(\text{j}_1,\text{j}_3)$, for events with at least three jets.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the two leading jets, $\Delta\Phi(\text{j}_1,\text{j}_2)$, for events with at least three jets and $p_{\text{T}}(\text{Z})>150\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the two leading jets, $\Delta\Phi(\text{j}_1,\text{j}_2)$, for events with at least three jets and $p_{\text{T}}(\text{Z})>150\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the 1$^{\text{st}}$ and 3$^{\text{rd}}$ leading jets, $\Delta\Phi(\text{j}_1,\text{j}_3)$, for events with at least three jets and $p_{\text{T}}(\text{Z})>150\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the 1$^{\text{st}}$ and 3$^{\text{rd}}$ leading jets, $\Delta\Phi(\text{j}_1,\text{j}_3)$, for events with at least three jets and $p_{\text{T}}(\text{Z})>150\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the 2$^{\text{nd}}$ and 3$^{\text{rd}}$ leading jets, $\Delta\Phi(\text{j}_2,\text{j}_3)$, for events with at least three jets and $p_{\text{T}}(\text{Z})>150\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the 2$^{\text{nd}}$ and 3$^{\text{rd}}$ leading jets, $\Delta\Phi(\text{j}_2,\text{j}_3)$, for events with at least three jets and $p_{\text{T}}(\text{Z})>150\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the 1$^{\text{st}}$ and 2$^{\text{nd}}$ leading jets, $\Delta\Phi(\text{j}_1,\text{j}_2)$, for events with at least three jets and $p_{\text{T}}(\text{Z})>300\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the 1$^{\text{st}}$ and 2$^{\text{nd}}$ leading jets, $\Delta\Phi(\text{j}_1,\text{j}_2)$, for events with at least three jets and $p_{\text{T}}(\text{Z})>300\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the 1$^{\text{st}}$ and 3$^{\text{rd}}$ leading jets, $\Delta\Phi(\text{j}_1,\text{j}_3)$, for events with at least three jets and $p_{\text{T}}(\text{Z})>300\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the 1$^{\text{st}}$ and 3$^{\text{rd}}$ leading jets, $\Delta\Phi(\text{j}_1,\text{j}_3)$, for events with at least three jets and $p_{\text{T}}(\text{Z})>300\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the 2$^{\text{nd}}$ and 3$^{\text{rd}}$ leading jets, $\Delta\Phi(\text{j}_1,\text{j}_3)$, for events with at least three jets and $p_{\text{T}}(\text{Z})>300\,$GeV, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the azimuthal angle between the 2$^{\text{nd}}$ and 3$^{\text{rd}}$ leading jets, $\Delta\Phi(\text{j}_1,\text{j}_3)$, for events with at least three jets and $p_{\text{T}}(\text{Z})>300\,$GeV.

The cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the mass of the system made of the two leading jets, $m_{\text{j}_1\text{j}_1}$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production measured as a function of the mass of the system made of the two leading jets, $m_{\text{j}_1\text{j}_1}$.

The cross section for Z($\rightarrow\ell\ell$) + jets production as a function of the leading jet transverse momentum and rapidity

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production as a function of the leading jet transverse momentum and rapidity

The cross section for Z($\rightarrow\ell\ell$) + jets production as a function of the Z boson and leading jet rapidities

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production as a function of the Z boson and leading jet rapidities

The cross section for Z($\rightarrow\ell\ell$) + jets production as a function of the rapidities of the Z boson and leading jet, and of the transverse momentum of the jet for the same configuration.

Bin-to-bin correlation in the the cross section for Z($\rightarrow\ell\ell$) + jets production as a function of the rapidities of the Z boson and leading jet, and of the transverse momentum of the jet for the same configuration.

Visible cross section for inclusive D*+- production with two jets.

Ratio of visible cross sections of inclusive D*+- production with and without the two jets.

Ratio of visible cross sections of inclusive D*+- production with and without the two jets.

Differential cross section for inclusive D*+- production in the visible kinematic region as a function of Q**2.

Differential cross section for inclusive D*+- production in the visible kinematic region as a function of Q**2.

Differential cross section for inclusive D*+- production in the visible kinematic region as a function of X.

Differential cross section for inclusive D*+- production in the visible kinematic region as a function of X.

Differential cross section for inclusive D*+- production in the visible kinematic region as a function of W.

Differential cross section for inclusive D*+- production in the visible kinematic region as a function of W.

Differential cross section for inclusive D*+- production in the visible kinematic region as a function of PT.

Differential cross section for inclusive D*+- production in the visible kinematic region as a function of PT.

Differential cross section for inclusive D*+- production in the visible kinematic region as a function of ETARAP.

Differential cross section for inclusive D*+- production in the visible kinematic region as a function of ETARAP.

Differential cross section for inclusive D*+- production in the visible kinematic region as a function of Z.

Differential cross section for inclusive D*+- production in the visible kinematic region as a function of Z.

Double differential cross section for inclusive D*+- production in bins of Q**2 and X.

Double differential cross section for inclusive D*+- production in bins of Q**2 and X.

Double differential cross section for inclusive D*+- production in bins of Q**2 and X.

Double differential cross section for inclusive D*+- production in bins of Q**2 and X.

Double differential cross section for inclusive D*+- production in bins of Q**2 and X.

Double differential cross section for inclusive D*+- production in bins of Q**2 and X.

Double differential cross section for inclusive D*+- production in bins of Q**2 and X.

Double differential cross section for inclusive D*+- production in bins of Q**2 and X.

Double differential cross section for inclusive D*+- production in bins of Q**2 and X.

Double differential cross section for inclusive D*+- production in bins of Q**2 and X.

Differential cross section for inclusive D*+- production as a function of Q**2 with the constraint that the transverse momentum of the D* in the virtual photon-proton centre-of-mass frame is > 2 GeV.

Differential cross section for inclusive D*+- production as a function of Q**2 with the constraint that the transverse momentum of the D* in the virtual photon-proton centre-of-mass frame is > 2 GeV.

Differential cross section for inclusive D*+- production as a function of X with the constraint that the transverse momentum of the D* in the virtual photon-proton centre-of-mass frame is > 2 GeV.

Differential cross section for inclusive D*+- production as a function of X with the constraint that the transverse momentum of the D* in the virtual photon-proton centre-of-mass frame is > 2 GeV.

Differential cross section for inclusive D*+- production as a function of PT with the constraint that the transverse momentum of the D* in the virtual photon-proton centre-of-mass frame is > 2 GeV.

Differential cross section for inclusive D*+- production as a function of PT with the constraint that the transverse momentum of the D* in the virtual photon-proton centre-of-mass frame is > 2 GeV.

Differential cross section for inclusive D*+- production as a function of ETARAP with the constraint that the transverse momentum of the D* in the virtualphoton-proton centre-of-mass frame is > 2 GeV.

Differential cross section for inclusive D*+- production as a function of ETARAP with the constraint that the transverse momentum of the D* in the virtualphoton-proton centre-of-mass frame is > 2 GeV.

Differential cross section for D*+- production with dijets as a function of Q**2.

Differential cross section for D*+- production with dijets as a function of Q**2.

Differential cross section for D*+- production with dijets as a function of X.

Differential cross section for D*+- production with dijets as a function of X.

Differential cross section for D*+- production with dijets as a function of ET(C=JET1).

Differential cross section for D*+- production with dijets as a function of ET(C=JET1).

Differential cross section for D*+- production with dijets as a function of M(C=JET2).

Differential cross section for D*+- production with dijets as a function of M(C=JET2).

Double differential cross section for D*+- production with dijets in bins of Q**2 and PHI(JET1)-PHI(JET2).

Double differential cross section for D*+- production with dijets in bins of Q**2 and PHI(JET1)-PHI(JET2).

Double differential cross section for D*+- production with dijets in bins of Q**2 and PHI(JET1)-PHI(JET2).

Double differential cross section for D*+- production with dijets in bins of Q**2 and PHI(JET1)-PHI(JET2).

Differential cross section for D*+- production with dijets as a function of pseudorapidity of the jet containing D*.

Differential cross section for D*+- production with dijets as a function of pseudorapidity of the jet containing D*.

Differential cross section for D*+- production with dijets as a function of pseudorapidity of the other jet.

Differential cross section for D*+- production with dijets as a function of pseudorapidity of the other jet.

Differential cross section for D*+- production with dijets as a function of the pseudorapidity difference of the two jets.

Differential cross section for D*+- production with dijets as a function of the pseudorapidity difference of the two jets.

Differential cross section for D*+- production with dijets as a function of X(C=GAMMA), the observed fraction of the virtual photon momentum carried by the partons.

Differential cross section for D*+- production with dijets as a function of X(C=GAMMA), the observed fraction of the virtual photon momentum carried by the partons.

Double differential cross section for D*+- production with dijets in bins of Q**2 and X(C=GAMMA), the observed fraction of the virtual photon momentum carried by the partons.

Double differential cross section for D*+- production with dijets in bins of Q**2 and X(C=GAMMA), the observed fraction of the virtual photon momentum carried by the partons.

Differential cross section for D*+- production with dijets as a function of X(C=GLUON), the observed fraction of the proton momentum carried by the gluon.

Differential cross section for D*+- production with dijets as a function of X(C=GLUON), the observed fraction of the proton momentum carried by the gluon.

Double differential cross section for D*+- production with dijets in bins of Q**2 and X(C=GLUON), the observed fraction of the proton momentum carried by the gluon.

Double differential cross section for D*+- production with dijets in bins of Q**2 and X(C=GLUON), the observed fraction of the proton momentum carried by the gluon.

Missing transverse momentum distribution after SR3b selection, beside the $E_\mathrm{T}^\mathrm{miss}$ requirement. The results in the signal region correspond to the last inclusive bin. The systematic uncertainties include theory uncertainties for the backgrounds with prompt SS/3L and the full systematic uncertainties for data-driven backgrounds. For illustration the distribution for a benchmark SUSY scenario ($pp\to \tilde g\tilde g$, $\tilde g\to t\bar t\tilde\chi_1^0$, $m_{\tilde g}=1.2$ TeV, $m_{\tilde\chi_1^0}=0.7$ TeV) is also shown.

Observed exclusion limits on the $\tilde g$ and $\tilde\chi_1^0$ masses in the context of SUSY scenarios with simplified mass spectra featuring $\tilde g\tilde g$ pair production with exclusive $\tilde g\to qq(\tilde\ell\ell/\tilde\nu\nu)$ decays. All limits are computed at 95% CL.

Expected exclusion limits on the $\tilde g$ and $\tilde\chi_1^0$ masses in the context of SUSY scenarios with simplified mass spectra featuring $\tilde g\tilde g$ pair production with exclusive $\tilde g\to qq(\tilde\ell\ell/\tilde\nu\nu)$ decays. All limits are computed at 95% CL.

Upper limits on signal cross-sections as function of the $\tilde g$ and $\tilde\chi_1^0$ masses in the context of SUSY scenarios with simplified mass spectra featuring $\tilde g\tilde g$ pair production with exclusive $\tilde g\to qq(\tilde\ell\ell/\tilde\nu\nu)$ decays, obtained using the signal efficiency and acceptance specific to each model. All limits are computed at 95% CL.

Observed exclusion limits on the $\tilde g$ and $\tilde\chi_1^0$ masses in the context of SUSY scenarios with simplified mass spectra featuring $\tilde g\tilde g$ pair production with exclusive $\tilde g\to qqWZ\tilde\chi_1^0$ decays. All limits are computed at 95% CL.

Expected exclusion limits on the $\tilde g$ and $\tilde\chi_1^0$ masses in the context of SUSY scenarios with simplified mass spectra featuring $\tilde g\tilde g$ pair production with exclusive $\tilde g\to qqWZ\tilde\chi_1^0$ decays. All limits are computed at 95% CL.

Upper limits on signal cross-sections as function of the $\tilde g$ and $\tilde\chi_1^0$ masses in the context of SUSY scenarios with simplified mass spectra featuring $\tilde g\tilde g$ pair production with exclusive $\tilde g\to qqWZ\tilde\chi_1^0$ decays, obtained using the signal efficiency and acceptance specific to each model. All limits are computed at 95% CL.

Observed exclusion limits on the $\tilde b_1$ and $\tilde\chi_1^0$ masses in the context of SUSY scenarios with simplified mass spectra featuring $\tilde b_1\tilde b_1^*$ pair production with exclusive $\tilde b_1\to t\tilde\chi_1^-$ decays. All limits are computed at 95% CL.

Expected exclusion limits on the $\tilde b_1$ and $\tilde\chi_1^0$ masses in the context of SUSY scenarios with simplified mass spectra featuring $\tilde b_1\tilde b_1^*$ pair production with exclusive $\tilde b_1\to t\tilde\chi_1^-$ decays. All limits are computed at 95% CL.

Upper limits on signal cross-sections as function of the $\tilde b_1$ and $\tilde\chi_1^0$ masses in the context of SUSY scenarios with simplified mass spectra featuring $\tilde b_1\tilde b_1^*$ pair production with exclusive $\tilde b_1\to t\tilde\chi_1^-$ decays, obtained using the signal efficiency and acceptance specific to each model. All limits are computed at 95% CL.

Observed exclusion limits on the $\tilde g$ and $\tilde\chi_1^0$ masses in the context of SUSY scenarios with simplified mass spectra featuring $\tilde g\tilde g$ pair production with exclusive $\tilde g\to t\bar t\tilde\chi_1^0$ decays. All limits are computed at 95% CL.

Expected exclusion limits on the $\tilde g$ and $\tilde\chi_1^0$ masses in the context of SUSY scenarios with simplified mass spectra featuring $\tilde g\tilde g$ pair production with exclusive $\tilde g\to t\bar t\tilde\chi_1^0$ decays. All limits are computed at 95% CL.

Upper limits on signal cross-sections as function of the $\tilde g$ and $\tilde\chi_1^0$ masses in the context of SUSY scenarios with simplified mass spectra featuring $\tilde g\tilde g$ pair production with exclusive $\tilde g\to t\bar t\tilde\chi_1^0$ decays, obtained using the signal efficiency and acceptance specific to each model. All limits are computed at 95% CL.

SUSY scenario with $\tilde g\tilde g$ production and $\tilde g\to q\bar q(\tilde\ell\ell/\tilde\nu\nu)$ decay: signal acceptance (in %) in the signal region SR0b3j. The benchmark scenarios used to set exclusion limits are materialized by black dot markers. Acceptance and efficiency are defined as in appendix A of [JHEP 06 (2014) 124, arXiv: 1403.4853v1 [hep-ex]].

SUSY scenario with $\tilde g\tilde g$ production and $\tilde g\to q\bar q(\tilde\ell\ell/\tilde\nu\nu)$ decay: reconstruction efficiency (in %) in the signal region SR0b3j. The benchmark scenarios used to set exclusion limits are materialized by black dot markers. Acceptance and efficiency are defined as in appendix A of [JHEP 06 (2014) 124, arXiv: 1403.4853v1 [hep-ex]].

SUSY scenario with $\tilde g\tilde g$ production and $\tilde g\to q\bar qWZ\tilde\chi_1^0$ decay: signal acceptance (in %) in the signal region SR0b5j. The benchmark scenarios used to set exclusion limits are materialized by black dot markers. Acceptance and efficiency are defined as in appendix A of [JHEP 06 (2014) 124, arXiv: 1403.4853v1 [hep-ex]].

SUSY scenario with $\tilde g\tilde g$ production and $\tilde g\to q\bar qWZ\tilde\chi_1^0$ decay: reconstruction efficiency (in %) in the signal region SR0b5j. The benchmark scenarios used to set exclusion limits are materialized by black dot markers. Acceptance and efficiency are defined as in appendix A of [JHEP 06 (2014) 124, arXiv: 1403.4853v1 [hep-ex]].

SUSY scenario with $\tilde b_1\tilde b_1^*$ production and $\tilde b_1\to tW\tilde\chi_1^0$ decay: signal acceptance (in %) in the signal region SR1b. The benchmark scenarios used to set exclusion limits are materialized by black dot markers. Acceptance and efficiency are defined as in appendix A of [JHEP 06 (2014) 124, arXiv: 1403.4853v1 [hep-ex]].

SUSY scenario with $\tilde b_1\tilde b_1^*$ production and $\tilde b_1\to tW\tilde\chi_1^0$ decay: reconstruction efficiency (in %) in the signal region SR1b. The benchmark scenarios used to set exclusion limits are materialized by black dot markers. Acceptance and efficiency are defined as in appendix A of [JHEP 06 (2014) 124, arXiv: 1403.4853v1 [hep-ex]].

SUSY scenario with $\tilde g\tilde g$ production and $\tilde g\to t\bar t\tilde\chi_1^0$ decay: signal acceptance (in %) in the signal region SR3b. The benchmark scenarios used to set exclusion limits are materialized by black dot markers. Acceptance and efficiency are defined as in appendix A of [JHEP 06 (2014) 124, arXiv: 1403.4853v1 [hep-ex]].

SUSY scenario with $\tilde g\tilde g$ production and $\tilde g\to t\bar t\tilde\chi_1^0$ decay: reconstruction efficiency (in %) in the signal region SR3b. The benchmark scenarios used to set exclusion limits are materialized by black dot markers. Acceptance and efficiency are defined as in appendix A of [JHEP 06 (2014) 124, arXiv: 1403.4853v1 [hep-ex]].

The absolute differential cross-section measured in the fiducial phase-space as a function of the minimum $\Delta R$ between the photon and the leptons in the electron-muon channel. The uncertainty is decomposed into four components which are the signal modelling uncertainty, the background modelling uncertainty, the experimental uncertainty, and the data statistical uncertainty.

The absolute differential cross-section measured in the fiducial phase-space as a function of the $\Delta\phi$ between the two leptons in the electron-muon channel. The uncertainty is decomposed into four components which are the signal modelling uncertainty, the background modelling uncertainty, the experimental uncertainty, and the data statistical uncertainty.

The absolute differential cross-section measured in the fiducial phase-space as a function of the $|\Delta\eta|$ between the two leptons in the electron-muon channel. The uncertainty is decomposed into four components which are the signal modelling uncertainty, the background modelling uncertainty, the experimental uncertainty, and the data statistical uncertainty.

The normalised differential cross-section measured in the fiducial phase-space as a function of the photon pT in the electron-muon channel. The uncertainty is decomposed into four components which are the signal modelling uncertainty, the background modelling uncertainty, the experimental uncertainty, and the data statistical uncertainty.

The normalised differential cross-section measured in the fiducial phase-space as a function of the photon $|\eta|$ in the electron-muon channel. The uncertainty is decomposed into four components which are the signal modelling uncertainty, the background modelling uncertainty, the experimental uncertainty, and the data statistical uncertainty.

The normalised differential cross-section measured in the fiducial phase-space as a function of the minimum $\Delta R$ between the photon and the leptons in the electron-muon channel. The uncertainty is decomposed into four components which are the signal modelling uncertainty, the background modelling uncertainty, the experimental uncertainty, and the data statistical uncertainty.

The normalised differential cross-section measured in the fiducial phase-space as a function of the $\Delta\phi$ between the two leptons in the electron-muon channel. The uncertainty is decomposed into four components which are the signal modelling uncertainty, the background modelling uncertainty, the experimental uncertainty, and the data statistical uncertainty.

The normalised differential cross-section measured in the fiducial phase-space as a function of the $|\Delta\eta|$ between the two leptons in the electron-muon channel. The uncertainty is decomposed into four components which are the signal modelling uncertainty, the background modelling uncertainty, the experimental uncertainty, and the data statistical uncertainty.

The total correlation matrix of the absolute differential cross-section measured in the fiducial phase-space as a function of the photon pT in the electron-muon channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the absolute differential cross-section measured in the fiducial phase-space as a function of the photon $|\eta|$ in the electron-muon channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the absolute differential cross-section measured in the fiducial phase-space as a function of the minimum $\Delta R$ between the photon and the leptons in the electron-muon channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the absolute differential cross-section measured in the fiducial phase-space as a function of the $\Delta\phi$ between the two leptons in the electron-muon channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the absolute differential cross-section measured in the fiducial phase-space as a function of the $|\Delta\eta|$ between the two leptons in the electron-muon channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the normalised differential cross-section measured in the fiducial phase-space as a function of the photon pT in the electron-muon channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the normalised differential cross-section measured in the fiducial phase-space as a function of the photon $|\eta|$ in the electron-muon channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the normalised differential cross-section measured in the fiducial phase-space as a function of the minimum $\Delta R$ between the photon and the leptons in the electron-muon channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the normalised differential cross-section measured in the fiducial phase-space as a function of the $\Delta\phi$ between the two leptons in the electron-muon channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the normalised differential cross-section measured in the fiducial phase-space as a function of the $|\Delta\eta|$ between the two leptons in the electron-muon channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The statistical correlation matrix of all the absolute differential cross-sections measured in the fiducial phase-space in the electron-muon channel.

The statistical correlation matrix of all the normalised differential cross-sections measured in the fiducial phase-space in the electron-muon channel.

Fiducial region definition.

Measured differential fiducial cross sections in cos(theta*) (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.

Measured differential fiducial cross sections in number of jets (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.

Measured differential fiducial cross sections in transverse momentum of the leading jet (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.

Measured differential fiducial cross sections in dijet invariant mass (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.

Measured differential fiducial cross sections in dijet angle phi (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.

Measured differential fiducial cross sections in m12 vs m34 (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.

Measured differential fiducial cross sections in Higgs transverse momentum for 0 jet events (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.

Measured differential fiducial cross sections in Higgs transverse momentum for 1-jet events (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.

Measured differential fiducial cross sections in Higgs transverse momentum for events with 2 or more jets (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.

Measured differential fiducial cross sections in dijet angle eta (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.

Measured differential fiducial cross sections in invariant mass of the leading lepton pair (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.

Measured differential fiducial cross sections in number of bjets (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.

Measured fiducial cross sections (second column). The given uncertainty is split into statistical (first) and systematic components (second). The third column gives the theoretical prediction of Higgs production in the fiducial volume using the best available inclusive Higgs production cross sections at the time of the publication. The acceptance to estimate the cross section in the fiducial volume is calculated using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty.