Expected and observed 95 percent CL upper limits on BR(H to etau) for each individual category and combined from collinear mass fit analysis

Summary of the observed and expected upper limits at the 95percent CL and the best fit branching fractions in percent for the H->mutau and H->etau processes, for the main analysis (BDT fit) and the cross check (Mcol fit) method.

95 percent CL observed upper limit on the Yukawa couplings for the main analysis (BDT fit) and the cross check (Mcol fit) method

Normalized inclusive 2-jet cross section differential in $\Delta\phi_{1,2}$ for $500 < p_{T}^{max} < 600$ GeV

Normalized inclusive 2-jet cross section differential in $\Delta\phi_{1,2}$ for $600 < p_{T}^{max} < 700$ GeV

Normalized inclusive 2-jet cross section differential in $\Delta\phi_{1,2}$ for $700 < p_{T}^{max} < 800$ GeV

Normalized inclusive 2-jet cross section differential in $\Delta\phi_{1,2}$ for $800 < p_{T}^{max} < 1000$ GeV

Normalized inclusive 2-jet cross section differential in $\Delta\phi_{1,2}$ for $1000 < p_{T}^{max} < 1200$ GeV

Normalized inclusive 2-jet cross section differential in $\Delta\phi_{1,2}$ for $p_{T}^{max} > 1200$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{1,2}$ for $200 < p_{T}^{max} < 300$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{1,2}$ for $300 < p_{T}^{max} < 400$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{1,2}$ for $400 < p_{T}^{max} < 500$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{1,2}$ for $500 < p_{T}^{max} < 600$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{1,2}$ for $600 < p_{T}^{max} < 700$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{1,2}$ for $700 < p_{T}^{max} < 800$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{1,2}$ for $800 < p_{T}^{max} < 1000$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{1,2}$ for $p_{T}^{max} > 1000$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{1,2}$ for $200 < p_{T}^{max} < 300$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{1,2}$ for $300 < p_{T}^{max} < 400$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{1,2}$ for $400 < p_{T}^{max} < 500$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{1,2}$ for $500 < p_{T}^{max} < 600$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{1,2}$ for $600 < p_{T}^{max} < 700$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{1,2}$ for $700 < p_{T}^{max} < 800$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{1,2}$ for $800 < p_{T}^{max} < 1000$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{1,2}$ for $p_{T}^{max} > 1000$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $200 < p_{T}^{max} < 300$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $300 < p_{T}^{max} < 400$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $400 < p_{T}^{max} < 500$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $500 < p_{T}^{max} < 600$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $600 < p_{T}^{max} < 700$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $700 < p_{T}^{max} < 800$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $800 < p_{T}^{max} < 1000$ GeV

Normalized inclusive 3-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $p_{T}^{max} > 1000$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $200 < p_{T}^{max} < 300$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $300 < p_{T}^{max} < 400$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $400 < p_{T}^{max} < 500$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $500 < p_{T}^{max} < 600$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $600 < p_{T}^{max} < 700$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $700 < p_{T}^{max} < 800$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $800 < p_{T}^{max} < 1000$ GeV

Normalized inclusive 4-jet cross section differential in $\Delta\phi_{2j}^{min}$ for $p_{T}^{max} > 1000$ GeV

Comparison between data and MC simulation in the dimuon control samples before and after performing the simultaneous fit across all the control samples and the signal region assuming the absence of any signal. Plot correspond to the mono-V category. The hadronic recoil $p_{T}$ in dilepton events is used as a proxy for $p_{T}^{miss}$ in the signal region. The leading contribution is represented by Z+jets production. The other backgrounds include top quark, diboson, and W+jets processes.

Comparison between data and MC simulation in the dielectron control samples before and after performing the simultaneous fit across all the control samples and the signal region assuming the absence of any signal. Plot correspond to the monojet category. The hadronic recoil $p_{T}$ in dilepton events is used as a proxy for $p_{T}^{miss}$ in the signal region. The leading contribution is represented by Z+jets production. The other backgrounds include top quark, diboson, and W+jets processes.

Comparison between data and MC simulation in the dielectron control samples before and after performing the simultaneous fit across all the control samples and the signal region assuming the absence of any signal. Plot correspond to the mono-V category. The hadronic recoil $p_{T}$ in dilepton events is used as a proxy for $p_{T}^{miss}$ in the signal region. The leading contribution is represented by Z+jets production. The other backgrounds include top quark, diboson, and W+jets processes.

Comparison between data and MC simulation in the single-muon control samples before and after performing the simultaneous fit across all the control samples and the signal region assuming the absence of any signal. Plot correspond to the monojet category. The hadronic recoil $p_{T}$ in dilepton events is used as a proxy for $p_{T}^{miss}$ in the signal region. The leading contribution is represented by W+jets production. The other backgrounds include top quark, diboson, Z+jets, and QCD multijet processes.

Comparison between data and MC simulation in the single-muon control samples before and after performing the simultaneous fit across all the control samples and the signal region assuming the absence of any signal. Plot correspond to the mono-V category. The hadronic recoil $p_{T}$ in dilepton events is used as a proxy for $p_{T}^{miss}$ in the signal region. The leading contribution is represented by W+jets production. The other backgrounds include top quark, diboson, Z+jets, and QCD multijet processes.

Comparison between data and MC simulation in the single-electron control samples before and after performing the simultaneous fit across all the control samples and the signal region assuming the absence of any signal. Plot correspond to the monojet category. The hadronic recoil $p_{T}$ in dilepton events is used as a proxy for $p_{T}^{miss}$ in the signal region. The leading contribution is represented by Z+jets production. The other backgrounds include top quark, diboson, Z+jets, and QCD multijet processes.

Comparison between data and MC simulation in the single-electron control samples before and after performing the simultaneous fit across all the control samples and the signal region assuming the absence of any signal. Plot correspond to the mono-V category. The hadronic recoil $p_{T}$ in dilepton events is used as a proxy for $p_{T}^{miss}$ in the signal region. The leading contribution is represented by W+jets production. The other backgrounds include top quark, diboson, Z+jets, and QCD multijet processes.

Observed $p_{T}^{miss}$ distribution in the monojet signal region compared with the post-fit background expectations for various SM processes. The last bin includes all events with $p_{T}^{miss} > 1250$ GeV for the monojet category. The expected background distributions are evaluated after performing a combined fit to the data in all the control samples, not including the signal region. Expected signal distribution for a 2 TeV axial-vector mediator, decaying to 1 GeV DM particles, is overlaid.

Observed $p_{T}^{miss}$ distribution in the mono-V signal region compared with the post-fit background expectations for various SM processes. The last bin includes all events with $p_{T}^{miss} > 750$ GeV for the mono-V category. The expected background distributions are evaluated after performing a combined fit to the data in all the control samples, not including the signal region. Expected signal distribution for a 2 TeV axial-vector mediator, decaying to 1 GeV DM particles, is overlaid.

Observed $p_{T}^{miss}$ distribution in the monojet signal region compared with the post-fit background expectations for various SM processes. The last bin includes all events with $p_{T}^{miss} > 1250$ GeV for the monojet category. The expected background distributions are evaluated after performing a combined fit to the data in all the control samples, as well as in the signal region. The fit is performed assuming the absence of any signal. Expected signal distribution for a 2 TeV axial-vector mediator, decaying to 1 GeV DM particles, is overlaid.

Observed $p_{T}^{miss}$ distribution in the mono-V signal region compared with the post-fit background expectations for various SM processes. The last bin includes all events with $p_{T}^{miss} > 750$ GeV for the mono-V category. The expected background distributions are evaluated after performing a combined fit to the data in all the control samples, not including as well as in the signal region. The fit is performed assuming the absence of any signal. Expected signal distribution for a 2 TeV axial-vector mediator, decaying to 1 GeV DM particles, is overlaid.

Observed exclusion limits at 95% CL on $\mu = \sigma/\sigma_{th}$ in the $m_{med}-m_{DM}$ plane assuming a vector mediator. N.B.: the granularity in the presented limit values is reduced with respect to the published result.

Expected exclusion limits at 95% CL on $\mu = \sigma/\sigma_{th}$ in the $m_{med}-m_{DM}$ plane assuming a vector mediator. N.B.: the granularity in the presented limit values is reduced with respect to the published result.

Observed exclusion limits at 95% CL on $\mu = \sigma/\sigma_{th}$ in the $m_{med}-m_{DM}$ plane assuming an axial-vector mediator. N.B.: the granularity in the presented limit values is reduced with respect to the published result.

Expected exclusion limits at 95% CL on $\mu = \sigma/\sigma_{th}$ in the $m_{med}-m_{DM}$ plane assuming an axial-vector mediator. N.B.: the granularity in the presented limit values is reduced with respect to the published result.

Observed exclusion contour at 95% CL on $\mu = \sigma/\sigma_{th}$ in the $m_{med}-m_{DM}$ plane assuming a vector mediator.

Expected exclusion contour at 95% CL on $\mu = \sigma/\sigma_{th}$ in the $m_{med}-m_{DM}$ plane assuming a vector mediator.

Observed exclusion contour at 95% CL on $\mu = \sigma/\sigma_{th}$ in the $m_{med}-m_{DM}$ plane assuming an axial-vector mediator.

Expected exclusion contour at 95% CL on $\mu = \sigma/\sigma_{th}$ in the $m_{med}-m_{DM}$ plane assuming an axial-vector mediator.

Exclusion limits at 95% CL on $\mu = \sigma/\sigma_{th}$ vs $m_{med}$ for $m_{DM} = 1$ GeV assuming a scalar mediator.

Observed exclusion limits at 95% CL on $\mu = \sigma/\sigma_{th}$ in the $m_{med}-m_{DM}$ plane assuming a pseudoscalar mediator. N.B.: the granularity in the presented limit values is reduced with respect to the published result.

Expected exclusion limits at 95% CL on $\mu = \sigma/\sigma_{th}$ in the $m_{med}-m_{DM}$ plane assuming a pseudoscalar mediator. N.B.: the granularity in the presented limit values is reduced with respect to the published result.

Observed exclusion contour at 95% CL on $\mu = \sigma/\sigma_{th}$ in the $m_{med}-m_{DM}$ plane assuming a pseudoscalar mediator.

Expected exclusion contour at 95% CL on $\mu = \sigma/\sigma_{th}$ in the $m_{med}-m_{DM}$ plane assuming a pseudoscalar mediator.

Observed exclusion contour at 95% CL in the $g_{q}-m_{med}$ plane assuming a vector mediator.

Exclusion exclusion contour at 95% CL in the $g_{q}-m_{med}$ plane assuming a vector mediator.

Observed exclusion contour at 95% CL in the $g_{q}-m_{med}$ plane assuming an axial-vector mediator.

Exclusion exclusion contour at 95% CL in the $g_{q}-m_{med}$ plane assuming an axial-vector mediator.

Observed upper limits at 90% CL on $\sigma_{DM-nucleon}$ vs $m_{med}$ for vector mediator

Expected upper limits at 90% CL on $\sigma_{DM-nucleon}$ vs $m_{med}$ for vector mediator

Observed upper limits at 90% CL on $\sigma_{DM-nucleon}$ vs $m_{med}$ for axial-vector mediator

Expected upper limits at 90% CL on $\sigma_{DM-nucleon}$ vs $m_{med}$ for axial-vector mediator

Observed upper limits at 90% CL on velocity averaged DM annihilation cross section derived from those placed for pseudoscalar mediators.

Expected upper limits at 90% CL on velocity averaged DM annihilation cross section derived from those placed for pseudoscalar mediators.

Correlations between the predicted background yields in all the $p_{T}^{miss}$ bins of the monojet signal region.

Correlations between the predicted background yields in all the $p_{T}^{miss}$ bins of the mono-V signal region.

Slopes and intercepts of $<p_x>/<p_T>(\eta)$ in Cu+Au and Au+Au collisions.

Slopes and intercepts of $v_1(\eta)$ in Cu+Au and Au+Au collisions.

Centrality dependence of $v_1^{fluc(even)}$ and $<p_x>/<p_T>$ in Cu+Au and Au+Au collisions.

$p_T$ dependence of $v_1^{fluc(even)}$ and $v_1^{conv(odd)}$ in Cu+Au and Au+Au collisions.

$p_T$ dependence of $v_1$ measured with three-point correlator in Cu+Au collisions

$p_T$ dependence of $v_1$ measured with three-point correlator in Cu+Au collisions

$\eta$ dependence of $v_1$ measured with three-point correlator in Cu+Au collisions

Directed flow $v_1(p_T)$ of $\pi^+ + \pi^-$ in Cu+Au collisions.

Directed flow $v_1(p_T)$ of $K^++K^-$ in Cu+Au collisions.

Directed flow $v_1(p_T)$ of $p+\bar{p}$ in Cu+Au collisions.

Centrality dpendence of $<p_x>$ of positively and negatively charged particles and its differece in Cu+Au and Au+Au collisions.

Higher harmonic flow coefficients $v_n{\Psi_n}$ of charged particles for different centrality bins in Cu+Au collisions.

Higher harmonic flow coefficients of charged particles for different centrality bins in Cu+Au collisions.

Higher harmonic flow coefficients $v_n{\Psi_n}$ of charged particles for different centrality bins in Cu+Au collisions.

Higher harmonic flow coefficients $v_n$ of charged particles for two selected $p_T$ bins as a function of the number of participants calculated with a Monte-Carlo Glauber simulationin Cu+Au collisions.

Higher harmonic flow coefficients $v_n$ of charged particles for two selected $p_T$ bins as a function of the number of participants calculated with a Monte-Carlo Glauber simulationin Cu+Au collisions.

The second and third harmonic flow coefficients $v_n(p_T)$ of charged particles measured with the scalar product method for 0-5% and 20-30% centrality bins in Cu+Au collisions.

The second $v_2(p_T)$ harmonic flow coefficients of $\pi$ for different centrality bins in Cu+Au collisions.

The second $v_2(p_T)$ harmonic flow coefficients of p for different centrality bins in Cu+Au collisions.

The third $v_3(p_T)$ harmonic flow coefficients of $\pi$ for different centrality bins in Cu+Au collisions.

The third $v_3(p_T)$ harmonic flow coefficients of p for different centrality bins in Cu+Au collisions.

The second $v_2(p_T)$ and third $v_3(p_T)$ harmonic flow coefficients of K for different centrality bins in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

Higher harmonic flow coefficients $v_2(p_T)$, $v_3(p_T)$, and $v_4(p_T)$ of $\pi$, K, and p for 0-40% centrality bin in Cu+Au collisions.

The $\langle x_{\mathrm{j}\gamma} \rangle$ and $R_{\mathrm{j}\gamma}$, the number of associated jets per photon, in 0-30% and 30-100% centrality PbPb collisions. The smeared pp data are added for comparison. A value of 999 in the bin range indicates that there is no upper limit.

The $I_{\mathrm{AA}}^{\mathrm{jet}}$ vs. $p_{\mathrm{T}}^{\mathrm{jet}}$ for 0-30% and 30-100% centrality PbPb collisions. Bins for which there are no data points are denoted as 'empty'.

The centrality dependence of $x_{\mathrm{j}\gamma}$ of photon+jet pairs normalized by the number of photons for PbPb and smeared pp data. Empty bins are denoted as 'empty' in the table.

The $\langle x_{\mathrm{j}\gamma} \rangle$ and $R_{\mathrm{j}\gamma}$ as a function of $\langle N_{\mathrm{part}} \rangle$ for $p_{\mathrm{T}}^{\gamma} > 60$ and 80 GeV. The PbPb results are compared to pp results smeared by the relative jet energy resolution corresponding to each centrality interval.

The dependence of the second-order elliptic flow cumulant coefficient (v_2{2}) on centrality

The dependence of the fourth-order elliptic flow cumulant coefficient (v_2{4}) on centrality

The dependence of the sixth-order elliptic flow cumulant coefficient (v_2{6}) on centrality

The dependence of the eigth-order elliptic flow cumulant coefficient (v_2{8}) on centrality

The dependence of the ratio of the sixth-order to the fourth-order elliptic flow cumulant coefficients (v_2{6} / v_2{4}) on centrality

The dependence of the ratio of the eigth-order to the fourth-order elliptic flow cumulant coefficients (v_2{8} / v_2{4}) on centrality

The dependence of the ratio of the eigth-order to the sixth-order elliptic flow cumulant coefficients (v_2{8} / v_2{6}) on centrality

The dependence of the standardized skewness estimate (\gamma_1^exp) on centrality

The dependence of the k_2 parameter obtained from elliptic power law fits to unfolded elliptic flow probability densities on centrality

The dependence of the \epsilon_0 parameter obtained from elliptic power law fits to unfolded elliptic flow probability densities on centrality

The dependence of the \alpha parameter obtained from elliptic power law fits to unfolded elliptic flow probability densities on centrality

The $p_T ^{miss}$ distributions for muon channel comparing the data and background model with systematic uncertainty.

The $m_T$ distributions for electron channel comparing the data and background model with systematic uncertainty, after fitting the background-only model to the data.

The $m_T$ distributions for muon channel comparing the data and background model with systematic uncertainty, after fitting the background-only model to the data.

Expected and observed limits on the product of cross section and branching fraction of a new spin-2 heavy resonance X$\rightarrow$ZZ, assuming zero width, based on the combined analysis of the electron and muon channels.

Expected and observed limits on the product of cross section and branching fraction of a new spin-2 heavy resonance X$\rightarrow$ZZ, assuming zero width, based on the combined analysis of the electron channels.

Expected and observed limits on the product of cross section and branching fraction of a new spin-2 heavy resonance X$\rightarrow$ZZ, assuming zero width, based on the combined analysis of the muon channels.

Expected and observed limits on the product of cross section and branching fraction of a new spin-2 heavy resonance X$\rightarrow$ZZ based on a combined analysis of the electron and muon channels. The more generic version of the bulk graviton model takes 0/10%/20%/30% mass width of the resonance into consideration, assuming gluon-gluon fusion production.

Expected and observed limits on the product of cross section and branching fraction of a new spin-2 heavy resonance X$\rightarrow$ZZ based on a combined analysis of the electron and muon channels. The more generic version of the bulk graviton model takes 0/10%/20%/30% mass width of the resonance into consideration, assuming qq annihilation production.