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.

Differential cross-section D(SIG)/DETARAP(JET) for photons in the given X(GAMMA) range accompanied by a jet. The corresponding hadronisation corrections are also given.

Differential cross-section D(SIG)/DXOBS(P) for photons in the given X(GAMMA) range accompanied by a jet. The corresponding hadronisation corrections are also given.

Differential cross-section D(SIG)/D(ETARAP(GAMMA) - ETARAP(JET)) for photons in the given X(GAMMA) range accompanied by a jet. The corresponding hadronisation corrections are also given.

Differential cross-section D(SIG)/DDELTA(PHI) for photons in the given X(GAMMA) range accompanied by a jet. The corresponding hadronisation corrections are also given.

Table of systematic uncertainties for the relative differential cross-section at particle level for the top quark transverse momentum in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the absolute differential cross-section at particle level for the absolute value of the top quark rapidity in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the absolute differential cross-section at particle level for the absolute value of the top quark rapidity in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the relative differential cross-section at particle level for the absolute value of the top quark rapidity in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the relative differential cross-section at particle level for the absolute value of the top quark rapidity in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the absolute differential cross-section at particle level for the tt̄ system transverse momentum in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the absolute differential cross-section at particle level for the tt̄ system transverse momentum in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the relative differential cross-section at particle level for the tt̄ system transverse momentum in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the relative differential cross-section at particle level for the tt̄ system transverse momentum in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the absolute differential cross-section at particle level for the absolute value of the tt̄ system rapidity in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the absolute differential cross-section at particle level for the absolute value of the tt̄ system rapidity in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the relative differential cross-section at particle level for the absolute value of the tt̄ system rapidity in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the relative differential cross-section at particle level for the absolute value of the tt̄ system rapidity in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the absolute differential cross-section at particle level for the mass of the tt̄ system in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the absolute differential cross-section at particle level for the mass of the tt̄ system in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the relative differential cross-section at particle level for the mass of the tt̄ system in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the relative differential cross-section at particle level for the mass of the tt̄ system in the resolved regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the absolute differential cross-section at particle level for the top quark transverse momentum in the boosted regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the absolute differential cross-section at particle level for the top quark transverse momentum in the boosted regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the relative differential cross-section at particle level for the top quark transverse momentum in the boosted regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the relative differential cross-section at particle level for the top quark transverse momentum in the boosted regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the absolute differential cross-section at particle level for the absolute value of the top quark rapidity in the boosted regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the absolute differential cross-section at particle level for the absolute value of the top quark rapidity in the boosted regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the relative differential cross-section at particle level for the absolute value of the top quark rapidity in the boosted regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Table of systematic uncertainties for the relative differential cross-section at particle level for the absolute value of the top quark rapidity in the boosted regime. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text.

Jetcharge $Q_L (\kappa=1.0)$ of leading jet with pT > 400 GeV.

Jetcharge $Q_L (\kappa=0.6)$ of leading jet with pT > 400 GeV.

Jetcharge $Q_L (\kappa=0.3)$ of leading jet with pT > 400 GeV.

Jetcharge $Q_T (\kappa=1.0)$ of leading jet with pT > 400 GeV.

Jetcharge $Q_T (\kappa=0.6)$ of leading jet with pT > 400 GeV.

Jetcharge $Q_T (\kappa=0.3)$ of leading jet with pT > 400 GeV.

Jetcharge $Q (\kappa=0.6)$ of leading jet with 400 < pT < 700 GeV.

Jetcharge $Q (\kappa=0.6)$ of leading jet with 700 < pT < 1000 GeV.

Jetcharge $Q (\kappa=0.6)$ of leading jet with 1000 < pT < 1800 GeV.

Jetcharge $Q_L (\kappa=0.6)$ of leading jet with 400 < pT < 700 GeV.

Jetcharge $Q_L (\kappa=0.6)$ of leading jet with 700 < pT < 1000 GeV.

Jetcharge $Q_L (\kappa=0.6)$ of leading jet with 1000 < pT < 1800 GeV.

Jetcharge $Q_T (\kappa=0.6)$ of leading jet with 400 < pT < 700 GeV.

Jetcharge $Q_T (\kappa=0.6)$ of leading jet with 700 < pT < 1000 GeV.

Jetcharge $Q_T (\kappa=0.6)$ of leading jet with 1000 < pT < 1800 GeV.

Covariance matrix of jetcharge $Q (\kappa=1.0)$ of leading jet with pT > 400 GeV.

Covariance matrix of jetcharge $Q (\kappa=0.6)$ of leading jet with pT > 400 GeV.

Covariance matrix of jetcharge $Q (\kappa=0.3)$ of leading jet with pT > 400 GeV.

Covariance matrix of jetcharge $Q_L (\kappa=1.0)$ of leading jet with pT > 400 GeV.

Covariance matrix of jetcharge $Q_L (\kappa=0.6)$ of leading jet with pT > 400 GeV.

Covariance matrix of jetcharge $Q_L (\kappa=0.3)$ of leading jet with pT > 400 GeV.

Covariance matrix of jetcharge $Q_T (\kappa=1.0)$ of leading jet with pT > 400 GeV.

Covariance matrix of jetcharge $Q_T (\kappa=0.6)$ of leading jet with pT > 400 GeV.

Covariance matrix of jetcharge $Q_T (\kappa=0.3)$ of leading jet with pT > 400 GeV.

Covariance matrix of jetcharge $Q (\kappa=0.6)$ of leading jet with 400 < pT < 700 GeV.

Covariance matrix of jetcharge $Q (\kappa=0.6)$ of leading jet with 700 < pT < 1000 GeV.

Covariance matrix of jetcharge $Q (\kappa=0.6)$ of leading jet with 1000 < pT < 1800 GeV.

Covariance matrix of jetcharge $Q_L (\kappa=0.6)$ of leading jet with 400 < pT < 700 GeV.

Covariance matrix of jetcharge $Q_L (\kappa=0.6)$ of leading jet with 700 < pT < 1000 GeV.

Covariance matrix of jetcharge $Q_L (\kappa=0.6)$ of leading jet with 1000 < pT < 1800 GeV.

Covariance matrix of jetcharge $Q_T (\kappa=0.6)$ of leading jet with 400 < pT < 700 GeV.

Covariance matrix of jetcharge $Q_T (\kappa=0.6)$ of leading jet with 700 < pT < 1000 GeV.

Covariance matrix of jetcharge $Q_T (\kappa=0.6)$ of leading jet with 1000 < pT < 1800 GeV.

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.

Measured differential cross section as a function of observable $ p_{T}^{ll} - p_{T}^{\gamma}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll} + p_{T}^{\gamma}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll} + p_{T}^{\gamma}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ \Delta R (l,l)$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ \Delta R (l,l)$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ N_{jets}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ N_{jets}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{Jet1}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{Jet1}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{Jet2}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{Jet2}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{Jet2}/p_{T}^{Jet1}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{Jet2}/p_{T}^{Jet1}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ m_{jj}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ m_{jj}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ m_{ll\gamma j}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ m_{ll\gamma j}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ H_{T}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ H_{T}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{\gamma} / \sqrt{H_{T}}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{\gamma} / \sqrt{H_{T}}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ \Delta \phi (Jet,\gamma)$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ \Delta \phi (Jet,\gamma)$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll\gamma j}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll\gamma j}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ \phi_{CS}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ \phi_{CS}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ \cos \theta_{CS}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ \cos \theta_{CS}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll\gamma} / m_{ll\gamma}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll\gamma} / m_{ll\gamma}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll\gamma} / m_{ll\gamma}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll\gamma} / m_{ll\gamma}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll\gamma} / m_{ll\gamma}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll\gamma} / m_{ll\gamma}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll} - p_{T}^{\gamma}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll} - p_{T}^{\gamma}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll} - p_{T}^{\gamma}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll} - p_{T}^{\gamma}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll} - p_{T}^{\gamma}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll} - p_{T}^{\gamma}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll\gamma j}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll\gamma j}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll\gamma j}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll\gamma j}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll\gamma j}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Measured differential cross section as a function of observable $ p_{T}^{ll\gamma j}$. Error on the measured cross-section include all the systematic uncertainties. SM predictions are produced with the event generators at particle level: Sherpa 2.2.4, Sherpa 2.2.11, MadGraph5_aMC@NLO, and MiNNLO$_{PS}$. Fixed order calculations results use MATRIX NNLO. Error represent statistical uncertainty and theoretical uncertainty (PDF and Scale variations).

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{\gamma} / \sqrt{H_{T}}$ (Fig. 8 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{\gamma} / \sqrt{H_{T}}$ (Fig. 8 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ H_{T}$ (Fig. 8 (a))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ H_{T}$ (Fig. 8 (a))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ \Delta \phi (Jet,\gamma)$ (Fig. 8 (c))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ \Delta \phi (Jet,\gamma)$ (Fig. 8 (c))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ \Delta R (l,l)$ (Fig. 5 (d))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ \Delta R (l,l)$ (Fig. 5 (d))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll} - p_{T}^{\gamma}$ (Fig. 5 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll} - p_{T}^{\gamma}$ (Fig. 5 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll} - p_{T}^{\gamma} \textrm{ in bin } p_{T}^{ll} + p_{T}^{\gamma} < 200 GeV$ (Fig. 11 (a))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll} - p_{T}^{\gamma} \textrm{ in bin } p_{T}^{ll} + p_{T}^{\gamma} < 200 GeV$ (Fig. 11 (a))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll} - p_{T}^{\gamma} \textrm{ in bin } 200 GeV < p_{T}^{ll} + p_{T}^{\gamma} < 300 GeV$ (Fig. 11 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll} - p_{T}^{\gamma} \textrm{ in bin } 200 GeV < p_{T}^{ll} + p_{T}^{\gamma} < 300 GeV$ (Fig. 11 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll} - p_{T}^{\gamma} \textrm{ in bin } p_{T}^{ll} + p_{T}^{\gamma} > 300 GeV$ (Fig. 11 (c))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll} - p_{T}^{\gamma} \textrm{ in bin } p_{T}^{ll} + p_{T}^{\gamma} > 300 GeV$ (Fig. 11 (c))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ m_{jj}$ (Fig. 7 (a))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ m_{jj}$ (Fig. 7 (a))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ m_{ll\gamma j}$ (Fig. 7 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ m_{ll\gamma j}$ (Fig. 7 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ N_{jets}$ (Fig. 6 (a))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ N_{jets}$ (Fig. 6 (a))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{Jet1}$ (Fig. 6 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{Jet1}$ (Fig. 6 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{Jet2}$ (Fig. 6 (c))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{Jet2}$ (Fig. 6 (c))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{Jet2}/p_{T}^{Jet1}$ (Fig. 6 (d))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{Jet2}/p_{T}^{Jet1}$ (Fig. 6 (d))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll}$ (Fig. 5 (a))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll}$ (Fig. 5 (a))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll\gamma j}$ (Fig. 8 (d))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll\gamma j}$ (Fig. 8 (d))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll\gamma j} \textrm{ in bin } p_{T}^{ll\gamma} < 50 GeV$ (Fig. 12 (a))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll\gamma j} \textrm{ in bin } p_{T}^{ll\gamma} < 50 GeV$ (Fig. 12 (a))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll\gamma j} \textrm{ in bin } 50 GeV < p_{T}^{ll\gamma} < 75 GeV$ (Fig. 12 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll\gamma j} \textrm{ in bin } 50 GeV < p_{T}^{ll\gamma} < 75 GeV$ (Fig. 12 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll\gamma j} \textrm{ in bin } p_{T}^{ll\gamma} > 75 GeV$ (Fig. 12 (c))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll\gamma j} \textrm{ in bin } p_{T}^{ll\gamma} > 75 GeV$ (Fig. 12 (c))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll\gamma} / m_{ll\gamma} \textrm{ in bin } 125 GeV < m_{ll\gamma} < 200 GeV$ (Fig. 10 (a))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll\gamma} / m_{ll\gamma} \textrm{ in bin } 125 GeV < m_{ll\gamma} < 200 GeV$ (Fig. 10 (a))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll\gamma} / m_{ll\gamma} \textrm{ in bin } 200 GeV < m_{ll\gamma} < 300 GeV$ (Fig. 10 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll\gamma} / m_{ll\gamma} \textrm{ in bin } 200 GeV < m_{ll\gamma} < 300 GeV$ (Fig. 10 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll\gamma} / m_{ll\gamma} \textrm{ in bin } m_{ll\gamma} > 300 GeV$ (Fig. 10 (c))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll\gamma} / m_{ll\gamma} \textrm{ in bin } m_{ll\gamma} > 300 GeV$ (Fig. 10 (c))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll} + p_{T}^{\gamma}$ (Fig. 5 (c))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ p_{T}^{ll} + p_{T}^{\gamma}$ (Fig. 5 (c))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ \cos \theta_{CS}$ (Fig. 9 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ \cos \theta_{CS}$ (Fig. 9 (b))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ \phi_{CS}$ (Fig. 9 (a))

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $ \phi_{CS}$ (Fig. 9 (a))

$(\mathrm{d}N_{\phi}/\mathrm{d}y)/\left\langle N_\mathrm{part}\right\rangle$ as a function of $\left\langle N_\mathrm{part}\right\rangle$ measured in the muon decay channel at forward rapidity in pp and Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}= 2.76$ TeV, for $2 < p_\mathrm{T} <5$ GeV/c.

$R_{\mathrm{AA}}$ of the $\phi$ meson as a function of $\langle N_{\mathrm{part}} \rangle$ for $2.5<y<4$ and $2 < p_\mathrm{T} <5$ GeV/c.

The dependence of the jet shapes on the transverse jet energy ET in the pseudorapidity range < 1.5 and the ET range > 8 GeV using the inclusive KT jet finding algorithm.

The dependence of the jet shapes on the transverse jet energy ET in the pseudorapidity range 1.5 TO 2.2 and the ET range > 8 GeV using the inclusive KT jet finding algorithm.

The dependence of the jet shapes on the transverse jet energy ET in the pseudorapidity range > 2.2 and the ET range > 8 GeV using the inclusive KT jet finding algorithm.

The dependence of the jet shapes on the transverse jet energy ET in the pseudorapidity range < 1.5 and the ET range 5 TO 8 GeV using the cone jet finding algorthm with cone radius = 1.0.

The dependence of the jet shapes on the transverse jet energy ET in the pseudorapidity range 1.5 TO 2.2 and the ET range 5 TO 8 GeV using the cone jet finding algorthm with cone radius = 1.0.

The dependence of the jet shapes on the transverse jet energy ET in the pseudorapidity range > 2.2 and the ET range 5 TO 8 GeV using the cone jet finding algorthm with cone radius = 1.0.

The dependence of the jet shapes on the transverse jet energy ET in the pseudorapidity range < 1.5 and the ET range > 8 GeV using the cone jet finding algorthm with cone radius = 1.0.

The dependence of the jet shapes on the transverse jet energy ET in the pseudorapidity range 1.5 TO 2.2 and the ET range > 8 GeV using the cone jet finding algorthm with cone radius = 1.0.

The dependence of the jet shapes on the transverse jet energy ET in the pseudorapidity range > 2.2 and the ET range > 8 GeV using the cone jet finding algorthm with cone radius = 1.0.

The dependence of the jet shapes on the transverse jet energy ET in the pseudorapidity range < 1.5 and the ET range 5 TO 8 GeV using the cone jet finding algorthm with cone radius = 0.7.

The dependence of the jet shapes on the transverse jet energy ET in the pseudorapidity range 1.5 TO 2.2 and the ET range 5 TO 8 GeV using the cone jet finding algorthm with cone radius = 0.7.

The dependence of the jet shapes on the transverse jet energy ET in the pseudorapidity range > 2.2 and the ET range 5 TO 8 GeV using the cone jet finding algorthm with cone radius = 0.7.

The dependence of the jet shapes on the transverse jet energy ET in the pseudorapidity range < 1.5 and the ET range > 8 GeV using the cone jet finding algorthm with cone radius = 0.7.

The dependence of the jet shapes on the transverse jet energy ET in the pseudorapidity range 1.5 TO 2.2 and the ET range > 8 GeV using the cone jet finding algorthm with cone radius = 0.7.

The dependence of the jet shapes on the transverse jet energy ET in the pseudorapidity range > 2.2 and the ET range > 8 GeV using the cone jet finding algorthm with cone radius = 0.7.

The average number of subjets as a function of the resolution parameter YCUT using the inclusive KT jet finding algorithm in the pseudorapidity range < 1.5 and the ET range 5 TO 8 GeV YCUT using the inclusive KT jet finding algorithm.

The average number of subjets as a function of the resolution parameter YCUT using the inclusive KT jet finding algorithm in the pseudorapidity range 1.5 TO 2.2 and the ET range 5 TO 8 GeV YCUT using the inclusive KT jet finding algorithm.

The average number of subjets as a function of the resolution parameter YCUT using the inclusive KT jet finding algorithm in the pseudorapidity range > 2.2 and the ET range 5 TO 8 GeV YCUT using the inclusive KT jet finding algorithm.

The average number of subjets as a function of the resolution parameter YCUT using the inclusive KT jet finding algorithm in the pseudorapidity range < 1.5 and the ET range > 8 GeV YCUT using the inclusive KT jet finding algorithm.

The average number of subjets as a function of the resolution parameter YCUT using the inclusive KT jet finding algorithm in the pseudorapidity range 1.5 TO 2.2 and the ET range > 8 GeV YCUT using the inclusive KT jet finding algorithm.

The average number of subjets as a function of the resolution parameter YCUT using the inclusive KT jet finding algorithm in the pseudorapidity range > 2.2 and the ET range > 8 GeV YCUT using the inclusive KT jet finding algorithm.

cross section ratio for Z(1b) and Z+jets production as a function of the leading b/inclusive (j) jet |eta|

Differential fiducial cross section for Z(1b) production as a function of the Z boson pT

cross section ratio for Z(1b) and Z+jets production as a function of the Z boson pT

Differential fiducial cross section for Z(1b) production as a function of HT

cross section ratio for Z(1b) and Z+jets production as a function of HT

Differential fiducial cross section for Z(1b) production as a function of DeltaPhi(Zb)

cross section ratio for Z(1b) and Z+jets production as a function of DeltaPhi(Zb)

Differential fiducial cross section for Z(2b) production as a function of the leading b jet pT

Differential fiducial cross section for Z(2b) production as a function of the subleading b jet pT

Differential fiducial cross section for Z(2b) production as a function of the Z boson pT

Differential fiducial cross section for Z(2b) production as a function of the invari- ant mass of the b jet pair, Mbb

Differential fiducial cross section for Z(2b) production as a function of the invari- ant mass of the Zbb system, MZbb

Differential fiducial cross section for Z(2b) production as a function of DeltaPhi(bb)

Differential fiducial cross section for Z(2b) production as a function of DeltaR(bb)

Differential fiducial cross section for Z(2b) production as a function of minimum DeltaR(Zb)

Differential fiducial cross section for Z(2b) production as a function of AZbb

fiducial cross section, for a single lepton type, for the production of Z(1b) and Z(2b) events