Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $p_{\mathrm{T}}^{\mathrm{lead.~lep.}}$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $p_{\mathrm{T}}^{\mathrm{sub-lead.~lep.}}$. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production. Overflow events are included in the last bin. The largest observed value is 609 GeV.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $p_{\mathrm{T}}^{\mathrm{sub-lead.~lep.}}$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $p_{\mathrm{T}}^{\mathrm{sub-lead.~lep.}}$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $p_{\mathrm{T}}^{\mathrm{lead.~jet}}$. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production. Overflow events are included in the last bin. The largest observed value is 1485 GeV.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $p_{\mathrm{T}}^{\mathrm{lead.~jet}}$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $p_{\mathrm{T}}^{\mathrm{lead.~jet}}$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $H_{\mathrm{T}}$. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production. Overflow events are included in the last bin. The largest observed value is 2969 GeV.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $H_{\mathrm{T}}$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $H_{\mathrm{T}}$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $S_{\mathrm{T}}$. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production. Overflow events are included in the last bin. The largest observed value is 3296 GeV.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $S_{\mathrm{T}}$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $S_{\mathrm{T}}$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $m_{\mathrm{T},e\mu}$. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production. Overflow events are included in the last bin. The largest observed value is 4130 GeV.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $m_{\mathrm{T},e\mu}$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $m_{\mathrm{T},e\mu}$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $m_{e\mu}$. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production. Overflow events are included in the last bin. The largest observed value is 3519 GeV.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $m_{e\mu}$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $m_{e\mu}$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $p_{\mathrm{T},e\mu}$. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production. Overflow events are included in the last bin. The largest observed value is 1067 GeV.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $p_{\mathrm{T},e\mu}$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $p_{\mathrm{T},e\mu}$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $\Delta\phi(e,\mu)$. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $\Delta\phi(e,\mu)$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $\Delta\phi(e,\mu)$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $y_{e\mu}$. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $y_{e\mu}$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $y_{e\mu}$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $\cos\theta^*$. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $\cos\theta^*$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $\cos\theta^*$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $n_{\mathrm{jet}}$. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $n_{\mathrm{jet}}$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $n_{\mathrm{jet}}$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $m_{e\mu}$ for $p_{\mathrm{T}}^{\mathrm{lead.~jet}} > 200$ GeV. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production. Overflow events are included in the last bin. The largest observed value is 3519 GeV.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $m_{e\mu}$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $m_{e\mu}$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $\Delta\phi(e,\mu)$ for $p_{\mathrm{T}}^{\mathrm{lead.~jet}} > 200$ GeV. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $\Delta\phi(e,\mu)$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $\Delta\phi(e,\mu)$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $\Delta\phi(\mathrm{sub-lead.~lep.}, \mathrm{lead.~jet})$ for $p_{\mathrm{T}}^{\mathrm{lead.~lep.}} > 200$ GeV. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $\Delta\phi(\mathrm{sub-lead.~lep.}, \mathrm{lead.~jet})$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $\Delta\phi(\mathrm{sub-lead.~lep.}, \mathrm{lead.~jet})$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $\Delta R(\mathrm{sub-lead.~lep.}, \mathrm{lead.~jet})$ for $p_{\mathrm{T}}^{\mathrm{lead.~lep.}} > 200$ GeV. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $\Delta R(\mathrm{sub-lead.~lep.}, \mathrm{lead.~jet})$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $\Delta R(\mathrm{sub-lead.~lep.}, \mathrm{lead.~jet})$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $p_{\mathrm{T}}^{\mathrm{sub-lead.~lep.}} / p_{\mathrm{T}}^{\mathrm{lead.~lep.}}$ for $p_{\mathrm{T}}^{\mathrm{lead.~lep.}} > 200$ GeV. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $p_{\mathrm{T}}^{\mathrm{sub-lead.~lep.}} / p_{\mathrm{T}}^{\mathrm{lead.~lep.}}$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $p_{\mathrm{T}}^{\mathrm{sub-lead.~lep.}} / p_{\mathrm{T}}^{\mathrm{lead.~lep.}}$

Measured fiducial cross section for $pp\rightarrow W^+W^-$+jets production for the observable $p_{\mathrm{T}}^{\mathrm{sub-lead.~lep.}} / p_{\mathrm{T}}^{\mathrm{lead.~jet}}$ for $p_{\mathrm{T}}^{\mathrm{lead.~lep.}} > 200$ GeV. The second column contains the results obtained with a fiducial particle phase space that includes a veto on $b$-jets. This alternative result is obtained from the nominal result by the application of bin-wise correction that is calculated as the ratio of the predicted differential cross-section in the nominal analysis phase space and the predicted cross-section for a phase space that includes a veto on events with $b$-jets with $p_{\mathrm{T}} > 20$ GeV. Also shown are the Standard Model predictions for $q\bar{q} \rightarrow WW$, obtained from Sherpa 2.2.2, MadGraph 2.3.3 + Pythia 8.212 using FxFx merging, and Powheg MiNLO + Pythia 8.244. These predictions are supplemented by the Sherpa 2.2.2 + OpenLoops simulation of $gg\rightarrow WW$. Finally, the prediction from MATRIX is given, which includes nNLO QCD and NLO EW corrections to $WW$+jet production. The largest observed value is 19.6.

Correlation matrix of the statistical uncertainties in the measured fiducial cross section for the observable $p_{\mathrm{T}}^{\mathrm{sub-lead.~lep.}} / p_{\mathrm{T}}^{\mathrm{lead.~jet}}$

Correlation matrix of the total uncertainties in the measured fiducial cross section for the observable $p_{\mathrm{T}}^{\mathrm{sub-lead.~lep.}} / p_{\mathrm{T}}^{\mathrm{lead.~jet}}$

Dijet mass spectra after the background only fit with the background prediction in the high-mass region with two b-tags.

Dijet mass spectra after the background only fit with the background prediction in the low-mass region with two b-tags.

The online b-tagging efficiency with respect to the offline b-tagging efficiency as a function of pT. The b-tagging online and offline working points correspond to an efficiency of 60% and 70%, respectively.

Observed and expected 95% credibility-level upper limits on the cross-section for the b* model in the high-mass region with inclusive b-jet selection.

Observed and expected 95% credibility-level upper limits on the cross-section times branching ratio for the SSM and leptophobic Z' models in the low- and high-mass region with two b-tags selection.

Observed and expected 95% credibility-level upper limits on the cross-section for DM Z' models in the low-mass region with two b-tags selection. The Z' is expected to decay to all five quark flavors other than the top quark and the mediator to SM quark coupling (gSM) equal to 0.1 is assumed.

Observed and expected 95% credibility-level upper limits on the cross-section times branching ratio for DM Z'->bb models in the high-mass region with two b-tags selection. The Z' is expected to decay to bb only and the mediator to SM quark coupling (gSM) equal to 0.25 is assumed.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances with intrinsic width smaller than the detector resolution. The width of the Gaussian reconstructed shape is dominated by the dijet mass resolution. The table shows the limits obtained from the high-mass inclusive one b-tag selection.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances with intrinsic width smaller than the detector resolution. The width of the Gaussian reconstructed shape is dominated by the dijet mass resolution. The table shows the limits obtained from the combined low- and high-mass two b-tags selection.

The mass distributions for the inclusive one b-tagged selection and two b-tagged selection using an integrated luminosity of 36.1 $fb^{-1}$. The inclusive one b-tagged Pythia8 MC distribution is normalized to the inclusive one b-tagged data. The two b-tagged Pythia8 MC distribution is normalized to the two b-tagged data. The systematic uncertainty band is dominated by the b-tagging scale factor and the b-jet energy scale.

Signal acceptance times efficiency for inclusive 1 b-tag and 2 b-tag categories as a function of the simulated b* and the Z' masses.

Signal acceptance times efficiency for 2 b-tag categories as a function of the simulated Z' masses.

The flavor composition of the simulated dijet background as a function of dijet mass before tagging. The fraction of the six combinations of the b-jet , c-jet and light-flavor jet are shown. All offline selections are applied.

The flavor composition of the simulated dijet background as a function of dijet mass with inclusive one b-tag. The fraction of the six combinations of the b-jet , c-jet and light-flavor jet are shown. All offline selections are applied.

The flavor composition of the simulated dijet background as a function of dijet mass with two b-tags. The fraction of the six combinations of the b-jet , c-jet and light-flavor jet are shown. All offline selections are applied.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the inclusive b-jet selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 3%.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the inclusive b-jet selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 7%.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the inclusive b-jet selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 10%.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the inclusive b-jet selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 15%.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the combined low- and high-mass two b-tags selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 3%.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the combined low- and high-mass two b-tags selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 7%.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the combined low- and high-mass two b-tags selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 10%.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the combined low- and high-mass two b-tags selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 15%.

Distribution of the missing transverse momentum $E_{\mathrm{T}}^{\mathrm{miss}}$ for the sample satisfying all requirements of the $\mathrm{SR}^{\gamma\gamma}_{W-L}$ selection except the $E_{\mathrm{T}}^{\mathrm{miss}}$ requirement itself. Overlaid are the expected SM backgrounds, separated into the various contributing sources. Also shown are the signal expectations for the ($m_{\tilde{W}}$, $m_{\tilde{\chi}^{0}_{1}}$) = (1000,100) GeV and ($m_{\tilde{W}}$, $m_{\tilde{\chi}^{0}_{1}}$) = (1000,800) GeV models. The vertical dashed lines and right-pointing arrows show the region of the $E_{\mathrm{T}}^{\mathrm{miss}}$ observable selected for inclusion in $\mathrm{SR}^{\gamma\gamma}_{W-L}$ and $\mathrm{SR}^{\gamma\gamma}_{W-H}$. The lower panels show the ratio of observed data to the combined SM expectation. For these plots, the band represents the range of combined statistical and systematic uncertainty in the SM expectation. Events outside the range of the displayed region are included in the highest-value bin.

Distribution of the missing transverse momentum $E_{\mathrm{T}}^{\mathrm{miss}}$ for the sample satisfying all requirements of the $\mathrm{SR}^{\gamma\gamma}_{W-H}$ selection except the $E_{\mathrm{T}}^{\mathrm{miss}}$ requirement itself. Overlaid are the expected SM backgrounds, separated into the various contributing sources. Also shown are the signal expectations for the ($m_{\tilde{W}}$, $m_{\tilde{\chi}^{0}_{1}}$) = (1000,100) GeV and ($m_{\tilde{W}}$, $m_{\tilde{\chi}^{0}_{1}}$) = (1000,800) GeV models. The vertical dashed lines and right-pointing arrows show the region of the $E_{\mathrm{T}}^{\mathrm{miss}}$ observable selected for inclusion in $\mathrm{SR}^{\gamma\gamma}_{W-L}$ and $\mathrm{SR}^{\gamma\gamma}_{W-H}$. The lower panels show the ratio of observed data to the combined SM expectation. For these plots, the band represents the range of combined statistical and systematic uncertainty in the SM expectation. Events outside the range of the displayed region are included in the highest-value bin.

Comparisons between expected and observed content of the validation and signal regions for the photon+jets analysis. The uncertainties in the expected numbers of events are the combined statistical and systematic uncertainties. The lower panel shows the pull (difference between observed and expected event counts normalized by the uncertainty) for each region.

Distribution of the missing transverse momentum $E_{\mathrm{T}}^{\mathrm{miss}}$ for the sample satisfying all requirements of the $\mathrm{SR}^{\gamma j}_{H}$ selection except the $E_{\mathrm{T}}^{\mathrm{miss}}$ requirement itself. Overlaid are the expected SM backgrounds, separated into the various contributing sources. Also shown are the signal expectations for points in the $m_{\tilde{g}}-m_{\tilde{\chi}^{0}_{1}}$ parameter space of the GGM model relevant to the photon+jets analysis (mass values in GeV). The value of the gluino mass arises from the choice $M_{3}$ = 1900 GeV. The $\tilde{\chi}^{0}_{1}$ mass values of 1868, 1920, 442 and 652 GeV arise from the choices $\mu$ = 1810, 1868, 400 and 600 GeV, respectively, combined with the constraint that the branching fraction of $\tilde{\chi}^{0}_{1}$ $\to \gamma \tilde{G}$ be 50%. The vertical dashed lines and right-pointing arrows show the region of the $E_{\mathrm{T}}^{\mathrm{miss}}$ observable selected for inclusion in $\mathrm{SR}^{\gamma j}_{H}$ and $\mathrm{SR}^{\gamma j}_{L}$ for $\mathrm{SR}^{\gamma j}_{L200}$, the $E_{\mathrm{T}}^{\mathrm{miss}}$ requirement is 200 GeV rather than 300 GeV. The lower panels show the ratio of observed data to the combined SM expectation. For these plots, the band represents the range of statistical uncertainty in the SM expectation. Events outside the range of the displayed region are included in the highest-value bin.

Distribution of the missing transverse momentum $E_{\mathrm{T}}^{\mathrm{miss}}$ for the sample satisfying all requirements of the $\mathrm{SR}^{\gamma j}_{L}$ or $\mathrm{SR}^{\gamma j}_{L200}$ selection except the $E_{\mathrm{T}}^{\mathrm{miss}}$ requirement itself. Overlaid are the expected SM backgrounds, separated into the various contributing sources. Also shown are the signal expectations for points in the $m_{\tilde{g}}-m_{\tilde{\chi}^{0}_{1}}$ parameter space of the GGM model relevant to the photon+jets analysis (mass values in GeV). The value of the gluino mass arises from the choice $M_{3}$ = 1900 GeV. The $\tilde{\chi}^{0}_{1}$ mass values of 1868, 1920, 442 and 652 GeV arise from the choices $\mu$ = 1810, 1868, 400 and 600 GeV, respectively, combined with the constraint that the branching fraction of $\tilde{\chi}^{0}_{1} \to \gamma \tilde{G}$ be 50%. The vertical dashed lines and right-pointing arrows show the region of the $E_{\mathrm{T}}^{\mathrm{miss}}$ observable selected for inclusion in $\mathrm{SR}^{\gamma j}_{H}$ and $\mathrm{SR}^{\gamma j}_{L}$ for $\mathrm{SR}^{\gamma j}_{L200}$, the $E_{\mathrm{T}}^{\mathrm{miss}}$ requirement is 200 GeV rather than 300 GeV. The lower panels show the ratio of observed data to the combined SM expectation. For these plots, the band represents the range of statistical uncertainty in the SM expectation. Events outside the range of the displayed region are included in the highest-value bin.

Expected exclusion limits in the gluino-bino mass plane, using the $\mathrm{SR}^{\gamma\gamma}_{S-H}$ analysis for $m_{\tilde{\chi}^{0}_{1}} > 1600$ GeV and the $\mathrm{SR}^{\gamma\gamma}_{S-L}$ analysis for $m_{\tilde{\chi}^{0}_{1}} < 1600$ GeV.

Observed exclusion limits in the gluino--bino mass plane, using the $\mathrm{SR}^{\gamma\gamma}_{S-H}$ analysis for $m_{\tilde{\chi}^{0}_{1}} > 1600$ GeV and the $\mathrm{SR}^{\gamma\gamma}_{S-L}$ analysis for $m_{\tilde{\chi}^{0}_{1}} < 1600$ GeV.

Expected exclusion limit in the squark-bino mass plane, using the $\mathrm{SR}^{\gamma\gamma}_{S-H}$ analysis for $m_{\tilde{\chi}^{0}_{1}} > 900$ GeV and the $\mathrm{SR}^{\gamma\gamma}_{S-L}$ analysis for $m_{\tilde{\chi}^{0}_{1}} < 900$ GeV.

Observed exclusion limit in the squark--bino mass plane, using the $\mathrm{SR}^{\gamma\gamma}_{S-H}$ analysis for $m_{\tilde{\chi}^{0}_{1}} > 900$ GeV and the $\mathrm{SR}^{\gamma\gamma}_{S-L}$ analysis for $m_{\tilde{\chi}^{0}_{1}} < 900$ GeV.

Expected exclusion limit in the wino-bino mass plane, using the $\mathrm{SR}^{\gamma\gamma}_{W-H}$ analysis for $m_{\tilde{\chi}^{0}_{1}} > 400$ GeV and the $\mathrm{SR}^{\gamma\gamma}_{W-L}$ analysis for $m_{\tilde{\chi}^{0}_{1}}$ < 400$ GeV.

Observed exclusion limit in the wino-bino mass plane, using the $\mathrm{SR}^{\gamma\gamma}_{W-H}$ analysis for $m_{\tilde{\chi}^{0}_{1}} > 400$ GeV and the $\mathrm{SR}^{\gamma\gamma}_{W-L}$ analysis for $m_{\tilde{\chi}^{0}_{1}}$ < 400$ GeV.

Expected exclusion limits for the $\mu > 0$ higgsino-bino GGM model explored by the photon+jets analysis.

Observed exclusion limits for the $\mu > 0$ higgsino-bino GGM model explored by the photon+jets analysis.

Distribution of the transverse momentum $p_{\mathrm{T}} (\ell\gamma\gamma)$ of events in the $\ell\gamma\gamma$ control region (except without a cut on $p_{\mathrm{T}} (\ell\gamma\gamma)$). Also shown is the expected contribution from various SM sources, including $W(\to\ell\nu) + \gamma\gamma$ production itself. The displayed uncertainties are a combination of those from all SM sources except $W(\to\ell\nu) + \gamma\gamma$ production, and include statistical and systematic uncertainties.

Distribution of $E_{\mathrm{T}}^{\mathrm{miss}}$ for diphoton events in a validation region defined by a requirement of $H_{\mathrm{T}} > 1750$ GeV. Also shown is the expected contribution from various SM sources, as well as their combined statistical and systematic uncertainties.

Distribution of $H_{\mathrm{T}}$ for diphoton events in a validation region defined by requirement of $E_{\mathrm{T}}^{\mathrm{miss}} > 100$ GeV. Also shown is the expected contribution from various SM sources, as well as their combined statistical and systematic uncertainties.

Distribution of $m_{\mathrm{eff}}$ for events satisfying all requirements $\mathrm{SR}^{\gamma j}_{H}$ save the $m_{\mathrm{eff}}$ requirement itself. Also shown is the expected contribution from various SM sources, and their combined statistical uncertainties.

Distribution of $m_{\mathrm{eff}}$ for events satisfying all requirements $\mathrm{SR}^{\gamma j}_{L}$ save the $m_{\mathrm{eff}}$ requirement itself. Also shown is the expected contribution from various SM sources, and their combined statistical uncertainties.

Derived exclusion limits for the gluino-bino GGM model explored by the diphoton analysis. For each point in the gluino-bino parameter space, the SR ($\mathrm{SR}^{\gamma\gamma}_{S-L}$ or $\mathrm{SR}^{\gamma\gamma}_{S-H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The model dependent upper limits on cross-section (fb) are shown by grey numbers for each signal point.

Derived exclusion limits for the squark-bino GGM model explored by the diphoton analysis. For each point in the squark-bino parameter space, the SR ($\mathrm{SR}^{\gamma\gamma}_{S-L}$ or $\mathrm{SR}^{\gamma\gamma}_{S-H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The model dependent upper limits on cross-section (fb) are shown by grey numbers for each signal point.

Derived exclusion limits for the wino-bino GGM model explored by the diphoton analysis. For each point in the wino-bino parameter space, the SR ($\mathrm{SR}^{\gamma\gamma}_{W-L}$ or $\mathrm{SR}^{\gamma\gamma}_{W-H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The model dependent upper limits on cross-section (fb) are shown by grey numbers for each signal point.

Derived exclusion limits for the $\mu > 0$ higgsino-bino GGM model explored by the photon+jets analysis. For each point in the higgsino-bino parameter space, the SR ($\mathrm{SR}^{\gamma j}_{L}$ or $\mathrm{SR}^{\gamma j}_{H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The model dependent upper limits on cross-section (fb) are shown by grey numbers for each signal point.

Derived exclusion limits for the gluino-bino GGM model explored by the diphoton analysis. For each point in the gluino-bino parameter space, the SR ($\mathrm{SR}^{\gamma\gamma}_{S-L}$ or $\mathrm{SR}^{\gamma\gamma}_{S-H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The labels indicate the best-expected signal region for each point, where SL and SH mean $\mathrm{SR}^{\gamma\gamma}_{S-L}$ and $\mathrm{SR}^{\gamma\gamma}_{S-H}$, respectively.

Derived exclusion limits for the squark-bino GGM model explored by the diphoton analysis. For each point in the squark-bino parameter space, the SR ($\mathrm{SR}^{\gamma\gamma}_{S-L}$ or $\mathrm{SR}^{\gamma\gamma}_{S-H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The labels indicate the best-expected signal region for each point, where SL and SH mean $\mathrm{SR}^{\gamma\gamma}_{S-L}$ and $\mathrm{SR}^{\gamma\gamma}_{S-H}$, respectively.

Derived exclusion limits for the wino--bino GGM model explored by the diphoton analysis. For each point in the wino-bino parameter space, the SR ($\mathrm{SR}^{\gamma\gamma}_{W-L}$ or $\mathrm{SR}^{\gamma\gamma}_{W-H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The labels indicate the best-expected signal region for each point, where WL and WH mean $\mathrm{SR}^{\gamma\gamma}_{W-L}$ and $\mathrm{SR}^{\gamma\gamma}_{W-H}$, respectively.

Derived exclusion limits for the $\mu > 0$ higgsino-bino GGM model explored by the photon+jets analysis. For each point in the higgsino-bino parameter space, the SR ($\mathrm{SR}^{\gamma j}_{L}$ or $\mathrm{SR}^{\gamma j}_{H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The labels indicate the best-expected signal region for each point, where L and H mean $\mathrm{SR}^{\gamma j}_{L}$ and $\mathrm{SR}^{\gamma j}_{H}$, respectively.

Acceptance and efficiency for $\mathrm{SR}^{\gamma\gamma}_{S-L}$ for the signal models of the gluino-bino GGM grid.

Acceptance and efficiency for $\mathrm{SR}^{\gamma\gamma}_{S-H}$ for the signal models of the gluino-bino GGM grid.

Acceptance and efficiency for $\mathrm{SR}^{\gamma\gamma}_{S-L}$ for the signal models of the squark-bino GGM grid.

Acceptance and efficiency for $\mathrm{SR}^{\gamma\gamma}_{S-H}$ for the signal models of the squark-bino GGM grid.

Acceptance and efficiency for $\mathrm{SR}^{\gamma\gamma}_{W-L}$ for the signal models of the wino-bino GGM grid.

Acceptance and efficiency for $\mathrm{SR}^{\gamma\gamma}_{W-H}$ for the signal models of the wino-bino GGM grid.

Acceptance and efficiency for $\mathrm{SR}^{\gamma j}_{L}$ for the signal models of the photon+jets GGM grid.

Acceptance and efficiency for $\mathrm{SR}^{\gamma j}_{H}$ for the signal models of the photon+jets GGM grid.

Cutflow for the $\mathrm{SR}^{\gamma\gamma}_{S-L}$ selection for one relevant signal point in the gluino-bino model, where the gluinos have mass of 1900 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 300 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow for the $\mathrm{SR}^{\gamma\gamma}_{S-H}$ selection for one relevant signal point in the gluino-bino model, where the gluinos have mass of 1900 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 1700 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow for the $\mathrm{SR}^{\gamma\gamma}_{S-L}$ selection for one relevant signal point in the squark-bino model, where the squarks have mass of 1700 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 200 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow for the $\mathrm{SR}^{\gamma\gamma}_{S-H}$ selection for one relevant signal point in the squark-bino model, where the squarks have mass of 1700 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 1600 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow for the $\mathrm{SR}^{\gamma\gamma}_{W-L}$ selection for one relevant signal point in the wino-bino model, where the winos have mass of 1000 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 200 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow for the $\mathrm{SR}^{\gamma\gamma}_{W-H}$ selection for one relevant signal point in the wino-bino model, where the winos have mass of 1000 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 800 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow for the $\mathrm{SR}^{\gamma j}_{L}$ selection, for two relevant signal points in the higgsino-bino model, where the gluinos have mass of 1974 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 442 GeV (10000 generated events), and 652 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow for the $\mathrm{SR}^{\gamma j}_{H}$ selection, for two relevant signal points in the higgsino-bino model, where the gluinos have mass of 1974 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 1868 GeV (10000 generated events), and 1920 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

The three isolated photons cross section with systematic and statistical uncertainties as a function of DPhi(Photon1,Photon2).

The three isolated photons cross section with systematic and statistical uncertainties as a function of DPhi(Photon1,Photon3).

The three isolated photons cross section with systematic and statistical uncertainties as a function of DPhi(Photon2,Photon3).

The three isolated photons cross section with systematic and statistical uncertainties as a function of |DEta(Photon1,Photon2)|.

The three isolated photons cross section with systematic and statistical uncertainties as a function of |DEta(Photon1,Photon3)|.

The three isolated photons cross section with systematic and statistical uncertainties as a function of |DEta(Photon2,Photon3)|.

The three isolated photons cross section with systematic and statistical uncertainties as a function of M(Photon1,Photon2).

The three isolated photons cross section with systematic and statistical uncertainties as a function of M(Photon1,Photon3).

The three isolated photons cross section with systematic and statistical uncertainties as a function of M(Photon2,Photon3).

The three isolated photons cross section with systematic and statistical uncertainties as a function of M(Photon1,Photon2,Photon3).

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-W/Z signal region with the merged event topology after the profile-likelihood fit. This is shown for the 0b-tagged jet, low purity, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-W/Z signal region with the merged event topology after the profile-likelihood fit. This is shown for the 1b-tagged jet, high purity, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-W/Z signal region with the merged event topology after the profile-likelihood fit. This is shown for the 1b-tagged jet, low purity, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-W/Z signal region with the merged event topology after the profile-likelihood fit. This is shown for the 2b-tagged jet event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-W/Z signal region with the resolved event topology after the profile-likelihood fit. This is shown for the 0b-tagged jet event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-W/Z signal region with the resolved event topology after the profile-likelihood fit. This is shown for the 1b-tagged jet event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-W/Z signal region with the resolved event topology after the profile-likelihood fit. This is shown for the 2b-tagged jet event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the merged event topology for a Z' mass of 90 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, high purity, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the merged event topology for a Z' mass of 90 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, low purity, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the merged event topology for a Z' mass of 90 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, high purity, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the merged event topology for a Z' mass of 90 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, low purity, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the merged event topology for a Z' mass of 90 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 90 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 350 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 90 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 350 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 90 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 350 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

Expected exclusion contours at 95% C.L. of the dark matter mediator particles (m_chi, m_Zp) for the combined mono-W and mono-Z search in the frame of the simplified model with the Dirac DM particles and couplings g_SM = 0.25 and g_DM = 1.

Observed exclusion contours at 95% C.L. of the dark matter mediator particles (m_chi, m_Zp) for the combined mono-W and mono-Z search in the frame of the simplified model with the Dirac DM particles and couplings g_SM = 0.25 and g_DM = 1.

Exclusion contours at 95% C.L. of the cross section as a function of Z' mass (mZp), for the mono-Z' dark fermion model, with the light dark sector scenario, with parameters g_SM = 0.1 and g_DM = 1.

Exclusion contours at 95% C.L. of the cross section as a function of Z' mass (mZp), for the mono-Z' dark fermion model, with the heavy dark sector scenario, with parameters g_SM = 0.1 and g_DM = 1.

Exclusion contours at 95% C.L. of the cross section as a function of Z' mass (mZp), for the mono-Z' dark Higgs model, with the light dark sector scenario, with parameters g_SM = 0.1 and g_DM = 1.

Exclusion contours at 95% C.L. of the cross section as a function of Z' mass (mZp), for the mono-Z' dark Higgs model, with the heavy dark sector scenario, with parameters g_SM = 0.1 and g_DM = 1.

Exclusion contours at 95% C.L. of the product of the couplings g_SM g_DM as a function of Z' mass (mZp), for the mono-Z' dark fermion model, with the light dark sector scenario, with parameter g_DM = 1.

Exclusion contours at 95% C.L. of the product of the couplings g_SM g_DM as a function of Z' mass (mZp), for the mono-Z' dark fermion model, with the heavy dark sector scenario, with parameter g_DM = 1.

Exclusion contours at 95% C.L. of the product of the couplings g_SM g_DM as a function of Z' mass (mZp), for the mono-Z' dark Higgs model, with the light dark sector scenario, with parameter g_DM = 1.

Exclusion contours at 95% C.L. of the product of the couplings g_SM g_DM as a function of Z' mass (mZp), for the mono-Z' dark Higgs model, with the heavy dark sector scenario, with parameter g_DM = 1.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the merged event topology for a Z' mass of 80 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, low purity, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the merged event topology for a Z' mass of 80 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, low purity, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the merged event topology for a Z' mass of 80 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, high purity, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the merged event topology for a Z' mass of 80 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, high purity, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the merged event topology for a Z' mass of 80 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 80 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 80 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 80 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the merged event topology for a Z' mass of 100 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, low purity, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the merged event topology for a Z' mass of 100 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, low purity, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the merged event topology for a Z' mass of 100 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, high purity, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the merged event topology for a Z' mass of 100 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, high purity, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the merged event topology for a Z' mass of 100 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 100 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 100 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 100 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 110 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 110 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 110 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 120 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 120 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 120 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 130 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 130 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 130 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 140 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 140 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 140 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 150 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 150 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 150 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 160 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 160 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 160 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 170 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 170 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 170 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 180 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 180 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 180 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 190 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 190 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 190 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 200 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 200 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 200 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 250 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 250 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 250 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 300 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 300 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 300 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 400 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 400 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 400 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 450 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 450 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 450 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 500 GeV after the profile-likelihood fit. This is shown for the 0b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 500 GeV after the profile-likelihood fit. This is shown for the 1b-tagged jet, event category.

The observed and expected MET distributions with 36.1fb-1 of data with sqrt(s) = 13 TeV in the mono-Z' signal region with the resolved event topology for a Z' mass of 500 GeV after the profile-likelihood fit. This is shown for the 2b-tagged jet, event category.

Distribution of the reconstructed invariant mass of the $W^\prime$ boson candidate in the 4-jet 2-tag VR$_{t\bar{t}}$ electron validation region. Background templates are fit to data in each VR using the same statistical method as for the signal region except that the normalizations of $t\bar{t}$ and $W$+jets backgrounds are constrained to the post-fit rates obtained in the signal region. Uncertainties include all the systematic and statistical uncertainties.

Distribution of the reconstructed invariant mass of the $W^\prime$ boson candidate in the 4-jet 2-tag VR$_{t\bar{t}}$ muon validation region. Background templates are fit to data in each VR using the same statistical method as for the signal region except that the normalizations of $t\bar{t}$ and $W$+jets backgrounds are constrained to the post-fit rates obtained in the signal region. Uncertainties include all the systematic and statistical uncertainties.

Post-fit distribution of the reconstructed mass of the $W^\prime_{\textrm{R}}$ boson candidate in the 2-jet 1-tag signal region, for electron channel. Uncertainties include all the systematic and statistical uncertainties.

Post-fit distribution of the reconstructed mass of the $W^\prime_{\textrm{R}}$ boson candidate in the 2-jet 1-tag signal region, for muon channel. Uncertainties include all the systematic and statistical uncertainties.

Post-fit distribution of the reconstructed mass of the $W^\prime_{\textrm{R}}$ boson candidate in the 2-jet 2-tag signal region, for electron channel. Uncertainties include all the systematic and statistical uncertainties.

Post-fit distribution of the reconstructed mass of the $W^\prime_{\textrm{R}}$ boson candidate in the 2-jet 2-tag signal region, for muon channel. Uncertainties include all the systematic and statistical uncertainties.

Post-fit distribution of the reconstructed mass of the $W^\prime_{\textrm{R}}$ boson candidate in the 3-jet 1-tag signal region, for electron channel. Uncertainties include all the systematic and statistical uncertainties.

Post-fit distribution of the reconstructed mass of the $W^\prime_{\textrm{R}}$ boson candidate in the 3-jet 1-tag signal region, for muon channel. Uncertainties include all the systematic and statistical uncertainties.

Post-fit distribution of the reconstructed mass of the $W^\prime_{\textrm{R}}$ boson candidate in the 3-jet 2-tag signal region, for electron channel. Uncertainties include all the systematic and statistical uncertainties.

Post-fit distribution of the reconstructed mass of the $W^\prime_{\textrm{R}}$ boson candidate in the 3-jet 2-tag signal region, for muon channel. Uncertainties include all the systematic and statistical uncertainties.

Upper limits at the 95% CL on the $W^\prime_{\textrm{R}}$ production cross section times branching fraction as a function of resonance mass, assuming $g^\prime/g=1$.

Observed and expected 95% CL limit on the ratio $g^\prime/g$, as a function of resonance mass, for right-handed $W^\prime$ coupling. The impact of the increased $W^\prime_{\textrm{R}}$ width for coupling values of $g'/g>1$ on the acceptance and on kinematical distributions is taken into account.

Observed and expected 95% CL upper limit on the $W^\prime_{\textrm{R}}$ production cross section times branching fraction as a function of resonance mass for the combination of semileptonic and hadronic [Phys. Lett. B 781 (2018) 327] $W^\prime \rightarrow t\bar{b}$ searches, assuming $g^\prime/g=1$. The hadronic search covers a mass range between 1.0 and 5.0TeV.

Expected and observed upper limits on $\tan\beta$ as a function of $m_{H^{+}}$ in the hMSSM scenario of the MSSM. Limits are shown for $\tan\beta$ values in the range of 0.5-60, where predictions are available from both scenarios. The bands surrounding the expected limits show the 68% and 95% confidence intervals. The limits are based on the combination of the $\ell+$jets and $\ell\ell$ final states. The production cross-section of $t\bar{t}H$ and $tH$, as well as the branching ratios of the $H$, are fixed to their SM values at each point in the plane. Uncertainties on the predicted $H^{+}$ cross-sections or branching ratios are not considered.

Expected and observed lower limits on $\tan\beta$ as a function of $m_{H^{+}}$ in the hMSSM scenario of the MSSM. Limits are shown for $\tan\beta$ values in the range of 0.5-60, where predictions are available from both scenarios. The bands surrounding the expected limits show the 68% and 95% confidence intervals. The limits are based on the combination of the $\ell+$jets and $\ell\ell$ final states. The production cross-section of $t\bar{t}H$ and $tH$, as well as the branching ratios of the $H$, are fixed to their SM values at each point in the plane. Uncertainties on the predicted $H^{+}$ cross-sections or branching ratios are not considered.

Differential cross sections in the full phase space obtained from the H->gammagamma and H->4l combined measurement for the transverse momentum of the leading jet pTj1. The first bin in the pTj1 distribution corresponds to the 0-jet bin in the Njets distribution. The NNLOPS ggF prediction scaled to the N3LO cross section is also provided.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of Higgs transverse momentum, in the 4l channel.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of Higgs transverse momentum, in the gamma gamma channel.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of Higgs rapidity, in the 4l channel.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of Higgs rapidity, in the gamma gamma channel.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of number of jets, in the 4l channel.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of number of jets, in the gamma gamma channel.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of the transverse momentum of the leading jet, in the 4l channel.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of the transverse momentum of the leading jet, in the gamma gamma channel.