Observed and theoretical cross sections. In the observed, the first uncertainty is statistical, the second is the systematic, and the third the luminosity. In the theoretical, the first uncertainty is due to scale variations, the second due to the choice of PDF. The theoretical cross section has been computed at approximate next-to-next-to-leading order (aNNLO) assuming a top quark mass of 172.5 GeV.

The number of observed and MC predicted events after the fit in the 1j1b, 2j1b, and 2j2b regions. The statistical uncertainties in the data and the total uncertainties in the predictions are given.

Normalised fiducial differential tW production cross section as a function of the $Leading$ $lepton$ $p_{T}$. The vertical bars on the points give the statistical uncertainty in the data, the horizontal bars show the bin width. Predictions from POWHEG (PH) + PYTHIA 8 (P8) DR and DS, POWHEG + HERWIG 7 (H7) DR, MADGRAPH5_aMC@NLO (aMC) + PYTHIA 8 DR, DR2, DS and DS with a dynamic factor are also shown. The grey band represents the statistical uncertainty and the orange band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

Normalised fiducial differential tW production cross section as a function of the $p_{Z}(e^{\pm}, \mu^{\pm}, j)$. The vertical bars on the points give the statistical uncertainty in the data, the horizontal bars show the bin width. Predictions from POWHEG (PH) + PYTHIA 8 (P8) DR and DS, POWHEG + HERWIG 7 (H7) DR, MADGRAPH5_aMC@NLO (aMC) + PYTHIA 8 DR, DR2, DS and DS with a dynamic factor are also shown. The grey band represents the statistical uncertainty and the orange band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

Normalised fiducial differential tW production cross section as a function of the $Jet$ $p_{T}$. The vertical bars on the points give the statistical uncertainty in the data, the horizontal bars show the bin width. Predictions from POWHEG (PH) + PYTHIA 8 (P8) DR and DS, POWHEG + HERWIG 7 (H7) DR, MADGRAPH5_aMC@NLO (aMC) + PYTHIA 8 DR, DR2, DS and DS with a dynamic factor are also shown. The grey band represents the statistical uncertainty and the orange band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

Normalised fiducial differential tW production cross section as a function of the $m(e^{\pm}, \mu^{\pm}, j)$. The vertical bars on the points give the statistical uncertainty in the data, the horizontal bars show the bin width. Predictions from POWHEG (PH) + PYTHIA 8 (P8) DR and DS, POWHEG + HERWIG 7 (H7) DR, MADGRAPH5_aMC@NLO (aMC) + PYTHIA 8 DR, DR2, DS and DS with a dynamic factor are also shown. The grey band represents the statistical uncertainty and the orange band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

Normalised fiducial differential tW production cross section as a function of the $\Delta\phi(e^{\pm}, \mu^{\pm})/\pi$. The vertical bars on the points give the statistical uncertainty in the data, the horizontal bars show the bin width. Predictions from POWHEG (PH) + PYTHIA 8 (P8) DR and DS, POWHEG + HERWIG 7 (H7) DR, MADGRAPH5_aMC@NLO (aMC) + PYTHIA 8 DR, DR2, DS and DS with a dynamic factor are also shown. The grey band represents the statistical uncertainty and the orange band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

Normalised fiducial differential tW production cross section as a function of the $m_{T}(e^{\pm}, \mu^{\pm}, j, p_{T}^{miss})$. The vertical bars on the points give the statistical uncertainty in the data, the horizontal bars show the bin width. Predictions from POWHEG (PH) + PYTHIA 8 (P8) DR and DS, POWHEG + HERWIG 7 (H7) DR, MADGRAPH5_aMC@NLO (aMC) + PYTHIA 8 DR, DR2, DS and DS with a dynamic factor are also shown. The grey band represents the statistical uncertainty and the orange band the total uncertainty. In the lower panels, the ratio of the predictions to the data is shown.

The p-values from the goodness-of-fit tests comparing the six differential cross section measurements with the predictions from POWHEG (PH) + PYTHIA 8 (P8) DR and DS, POWHEG + HERWIG 7 (H7) DR, MADGRAPH5 aMC@NLO (aMC) + PYTHIA 8 DR, DR2, DS, and DS with a dynamic factor. The complete covariance matrix from the results and the statistical uncertainties of the predictions are taken into account.

Response matrix between detector and particle level for the $Leading$ $lepton$ $p_{T}$.

Response matrix between detector and particle level for the $p_{Z}(e^{\pm}, \mu^{\pm}, j)$.

Response matrix between detector and particle level for the $Jet$ $p_{T}$.

Response matrix between detector and particle level for the $m(e^{\pm}, \mu^{\pm}, j)$.

Response matrix between detector and particle level for the $\Delta\phi(e^{\pm}, \mu^{\pm})/\pi$.

Response matrix between detector and particle level for the $m_{T}(e^{\pm}, \mu^{\pm}, j, p_{T}^{miss})$.

Covariance matrix including all uncertainties of the differential result for the $Leading$ $lepton$ $p_{T}$.

Covariance matrix including all uncertainties of the differential result for the $p_{Z}(e^{\pm}, \mu^{\pm}, j)$.

Covariance matrix including all uncertainties of the differential result for the $Jet$ $p_{T}$.

Covariance matrix including all uncertainties of the differential result for the $m(e^{\pm}, \mu^{\pm}, j)$.

Covariance matrix including all uncertainties of the differential result for the $\Delta\phi(e^{\pm}, \mu^{\pm})/\pi$.

Covariance matrix including all uncertainties of the differential result for the $m_{T}(e^{\pm}, \mu^{\pm}, j, p_{T}^{miss})$.

'Identified transverse momentum spectra of $\pi^{-}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV'

'Identified transverse momentum spectra of $K^{-}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV'

'Identified transverse momentum spectra of $\bar{p}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV'

'Average transverse momentum as a function of $\langle$N$_{part}$$\rangle$ for $\pi^{+}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'Average transverse momentum as a function of $\langle$N$_{part}$$\rangle$ for $K^{+}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'Average transverse momentum as a function of $\langle$N$_{part}$$\rangle$ for p at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'dN/dy scaled by 0.5 × $\langle$N$_{part}$$\rangle$ as a function of $\langle$N$_{part}$$\rangle$ for $\pi^{+}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'dN/dy scaled by 0.5 × $\langle$N$_{part}$$\rangle$ as a function of $\langle$N$_{part}$$\rangle$ for $K^{+}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'dN/dy scaled by 0.5 × $\langle$N$_{part}$$\rangle$ as a function of $\langle$N$_{part}$$\rangle$ for p at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'dN/dy scaled by 0.5 × $\langle$N$_{part}$$\rangle$ as a function of $\langle$N$_{part}$$\rangle$ for $\bar{p}$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'$\pi^{−}$/$\pi^{+}$ ratio as a function of $\langle$N$_{part}$$\rangle$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'$K^{−}$/$K^{+}$ ratio as a function of $\langle$N$_{part}$$\rangle$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'$\bar{p}$/p ratio as a function of $\langle$N$_{part}$$\rangle$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'$K^{+}$/$\pi^{+}$ ratio as a function of $\langle$N$_{part}$$\rangle$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'$K^{-}$/$\pi^{-}$ ratio as a function of $\langle$N$_{part}$$\rangle$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'p/$\pi^{+}$ ratio as a function of $\langle$N$_{part}$$\rangle$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

'$\bar{p}$/$\pi^{-}$ ratio as a function of $\langle$N$_{part}$$\rangle$ at midrapidity (|y| < 0.1) in U+U collisions at $\sqrt{s_{\rm NN}}$ = 193 GeV.'

Number of data events and the number of background events in the best-fit signal-plus-background model for the ggH Tag 2 category, in bins of $m_{ee}$. The number of signal events in the SM and at the observed limit are also provided in the same bins.

Number of data events and the number of background events in the best-fit signal-plus-background model for the ggH Tag 3 category, in bins of $m_{ee}$. The number of signal events in the SM and at the observed limit are also provided in the same bins.

Number of data events and the number of background events in the best-fit signal-plus-background model for the VBF Tag 0 category, in bins of $m_{ee}$. The number of signal events in the SM and at the observed limit are also provided in the same bins.

Number of data events and the number of background events in the best-fit signal-plus-background model for the VBF Tag 1 category, in bins of $m_{ee}$. The number of signal events in the SM and at the observed limit are also provided in the same bins.

Expected and observed limits at the 95%% C.L. on the branching fraction to an electron pair ($e^{+}e^{-}$) for a Higgs boson mass between 120 and 130 GeV.

Expected and observed limits at the 95%% C.L. on the branching fraction to an electron pair ($e^{+}e^{-}$) for each analysis category, and all categories combined. The results here are computed for $m_{H}=125.38$ GeV.

The rho-parameter, i.e. the ratio of the real to imaginary part of the elastic scattering amplitude extrapolated to t=0. The systematic uncertainty includes experimental and theoretical uncerainties.

The nuclear slope parameter B from a fit of the form exp(-Bt-Ct^2-Dt^3). The systematic uncertainty includes experimental and theoretical uncerainties.

The nuclear slope parameter B from a fit of the form exp(-Bt-Ct^2-Dt^3). The systematic uncertainty includes experimental and theoretical uncerainties.

The nuclear slope parameter C from a fit of the form exp(-Bt-Ct^2-Dt^3). The systematic uncertainty includes experimental and theoretical uncerainties.

The nuclear slope parameter C from a fit of the form exp(-Bt-Ct^2-Dt^3). The systematic uncertainty includes experimental and theoretical uncerainties.

The nuclear slope parameter D from a fit of the form exp(-Bt-Ct^2-Dt^3). The systematic uncertainty includes experimental and theoretical uncerainties.

The nuclear slope parameter D from a fit of the form exp(-Bt-Ct^2-Dt^3). The systematic uncertainty includes experimental and theoretical uncerainties.

The total elastic cross section measured inside the fiducial volume. The systematic uncertainty includes experimental uncertainties.

The total elastic cross section measured inside the fiducial volume. The systematic uncertainty includes experimental uncertainties.

The total elastic cross section obtained from the fitted parameters, extrapolated to full phase space using only the nuclear amplitude.

The total elastic cross section obtained from the fitted parameters, extrapolated to full phase space using only the nuclear amplitude.

The total inelastic cross section.

The total inelastic cross section.

The ratio of elastic to total cross section.

The ratio of elastic to total cross section.

The differential elastic cross section as function of t with statistical and systematic uncertainties. The systematic uncertainties are given as signed relative change for 20 sources of experimental uncertainty associated to nuisance parameters used in the fit for the extraction of physics parameters.

The differential elastic cross section as function of t with statistical and systematic uncertainties. The systematic uncertainties are given as signed relative change for 20 sources of experimental uncertainty associated to nuisance parameters used in the fit for the extraction of physics parameters.

Statistical covariance matrix for the measurement of the differential elastic cross section as function of t.

Statistical covariance matrix for the measurement of the differential elastic cross section as function of t.

The $\phi$-meson integrated nuclear modification factors $R_{AB}$ measured as a function of $N_{part}$

The comparison of $\phi$ meson (a) $v_2$ and (b) $v_2/(\epsilon N_{part}^{1/3})$ measured as a function of $p_T$ in Cu+Au collisions at $\sqrt{s}$ = 200 GeV and U+U collisions at $\sqrt{s}$ = 193 GeVat midrapidity (|η| < 0.35)

The comparison of elliptic flow (a) $v_2$ values measured for $\phi$ mesons as a function of $p_T$ in $0\%–20\%$ Cu+Au collisions

The comparison of elliptic flow (b) $v_2$ values measured for $\phi$ mesons as a function of $KE_T$ in $0\%–20\%$ Cu+Au collisions

The comparison of elliptic flow (c) $v_2/n_q$ values measured for $\phi$ mesons as a function of $KE_T/n_q$ in $0\%–20\%$ Cu+Au collisions

The comparison of elliptic flow (a) $v_2$ values measured for $\phi$ mesons as a function of $p_T$ in $20\%–60\%$ Cu+Au collisions

The comparison of elliptic flow (b) $v_2$ values measured for $\phi$ mesons as a function of $KE_T$ in $20\%–60\%$ Cu+Au collisions

The comparison of elliptic flow (c) $v_2/n_q$ values measured for $\phi$ mesons as a function of $KE_T/n_q$ in $20\%–60\%$ Cu+Au collisions

The comparison of elliptic flow (a) $v_2$ values measured for $\phi$ mesons as a function of $p_T$ in $0\%–50\%$ U+U collisions

The comparison of elliptic flow (b) $v_2$ values measured for $\phi$ mesons as a function of $KE_T$ in $0\%–50\%$ U+U collisions

The comparison of elliptic flow (c) $v_2/n_q$ values measured for $\phi$ mesons as a function of $KE_T/n_q$ in $0\%–50\%$ U+U collisions

Net-proton cumulant ratios C4/C2, C5/C1, C6/C2 (0-40$\%$ and 50-60$\%$ centrality) and C3/C1 (0-40$\%$ centrality) in Au+Au collisions from $\sqrt{s_{NN}}$ = 3 - 200 GeV. At $\sqrt{s_{NN}}$ = 3 GeV, measurement is done for protons instead of net-protons, and with halfrapdity coverage (-0.5 $<$ y $<$ 0) while for rest of energies the rapidity coverage is (-0.5 $<$ y $<$ -0.5).

Net-proton cumulant ratios C4/C2, C5/C1, C6/C2 (0-40$\%$ and 50-60$\%$ centrality) and C3/C1 (0-40$\%$ centrality) from UrQMD model in Au+Au collisions from $\sqrt{s_{NN}}$ = 3 -200 GeV. At $\sqrt{s_{NN}}$ = 3 GeV, UrQMD calculation is done for protons instead of net-protons, and with halfrapdity coverage (-0.5 $<$ y $<$ 0) while for rest of energies the rapidity coverage is (-0.5 $<$ y $<$ -0.5).

Fifth-to-first (KS5/KS1) and sixth-to-second (KS6/KS2) order K-statistic ratios of net-proton distributions in Au+Au collisions at $\sqrt{s_{NN}}$ = 7.7 GeV for 0-40$\%$ and 50-60$\%$ centrality.

Net-proton cumulant ratio C6/C2 and corresponding K-statistic ratio (0-40$\%$) in Au+Au collisions at $\sqrt{s_{NN}}$ = 7.7 GeV as a function of sample size. Uncertainties are only statistical.

Cumulant ratios C4/C2, C5/C1, C6/C2 and C3/C1 of net-proton distributions measured with half rapdity coverage (-0.5 $<$ y $<$ 0) in 0-40$\%$ central Au+Au collisions for collider energies from $\sqrt{s_{NN}}$ = 7.7 - 54.4 GeV.

Cumulant ratios C5/C1 of net-proton distributions measured in 40-50$\%$, 60-70$\%$, and 70-80$\%$ Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. This is supplemental data and was not part of the original paper.

Inclusive Y(2S) $R_{AA}$ as a function of centrality in Au+Au collisions at 200 GeV. The bin corresponding to $N_{part}$ = 162 is for 0-60% centrality. Global uncertainty of 20.5% not shown.

Upper limit of inclusive Y(3S) $R_{AA}$ with 95% confidence level in 0-60% Au+Au collisions at 200 GeV

Upper limit of inclusive Y(3S) $R_{AA}$ with 95% confidence level in 0-60% Au+Au collisions at 200 GeV

Inclusive Y(1S) $R_{AA}$ as a function of $p_{T}$ in Au+Au collisions at 200 GeV. Global uncertainty of 6.8% not shown.

Inclusive Y(1S) $R_{AA}$ as a function of $p_{T}$ in 0-60% Au+Au collisions at 200 GeV. Global uncertainty of 6.8% not shown.

Inclusive Y(2S) R_{AA} as a function of p_{T} in Au+Au collisions at 200 GeV. Global uncertainty of 6.8% not shown.

Inclusive Y(2S) $R_{AA}$ as a function of $p_{T}$ in 0-60% Au+Au collisions at 200 GeV. Global uncertainty of 6.8% not shown.

Inclusive Y(1S) yield as a function of centrality in Au+Au collisions at 200 GeV. The bin corresponding to $N_{part}$ = 162 is for 0-60% centrality.

Inclusive Y(2S) yield as a function of centrality in Au+Au collisions at 200 GeV. The bin corresponding to $N_{part}$ = 162 is for 0-60% centrality.

Upper limit of inclusive Y(3S) yield with 95% confidence level in 0-60% Au+Au collisions at 200 GeV

Inclusive Y(1S) yield as a function of $p_{T}$ in 0-60% Au+Au collisions at 200 GeV.

Inclusive Y(2S) yield as a function of p_{T} in 0-60% Au+Au collisions at 200 GeV.

Y(2S)/Y(1S) ratio as a function of centrality in Au+Au collisions at 200 GeV. The bin corresponding to $N_{part}$ = 162 is for 0-60% centrality.

Upper limit of Y(3S)/Y(1S) ratio with 95% confidence level in 0-60% Au+Au collisions at 200 GeV

Y(2S)/Y(1S) ratio as a function of $p_{T}$ in 0-60% Au+Au collisions at 200 GeV.

Comparisons of the data and the expected background distributions of the WZ invariant mass in the ANN-based VBF signal region. The background predictions are obtained through a background-only simultaneous fit to the VBF signal region and the WZ-QCD and ZZ VBF control regions. The yields are normalized to the bin width

Comparisons of the observed data and the expected background distributions of the WZ invariant mass using the cut-based VBF selection. The background predictions are obtained through a background-only simultaneous fit to the VBF cut-based signal region and the WZ-QCD and ZZ VBF control regions. The yields are normalized to the bin width.

Comparisons of the observed data and the expected background distributions of the WZ invariant mass using the cut-based VBF selection. The background predictions are obtained through a background-only simultaneous fit to the VBF cut-based signal region and the WZ-QCD and ZZ VBF control regions. The yields are normalized to the bin width.

Drell-Yan signal region selection cutflow for a simulated W' in the HVT model A with m_W' = 1 TeV. The unweighted number of events is shown.

Drell-Yan signal region selection cutflow for a simulated W' in the HVT model A with m_W' = 1 TeV. The unweighted number of events is shown.

VBF signal region selection cutflow for a simulated W' in the HVT model C with m_W' = 500 GeV. The unweighted number of events is shown.

VBF signal region selection cutflow for a simulated W' in the HVT model C with m_W' = 500 GeV. The unweighted number of events is shown.

VBF signal region selection cutflow for a simulated H5+ in the GM model with m_H5+ = 450 GeV. The unweighted number of events is shown.

VBF signal region selection cutflow for a simulated H5+ in the GM model with m_H5+ = 450 GeV. The unweighted number of events is shown.

The acceptancetimes efficiencyof the HVT W' in the Drell-Yan signal region for different mass points and for the individual channels and the sum of all channels. The uncertainty includes both statistical and experimental systematic components.

The acceptancetimes efficiencyof the HVT W' in the Drell-Yan signal region for different mass points and for the individual channels and the sum of all channels. The uncertainty includes both statistical and experimental systematic components.

The acceptancetimes efficiencyof VBF H5+ selection after the ANN-based VBF selection at different mass points for the individual channels and the sum of all channels. The uncertainty includes both statistical and experimental systematic components.

The acceptancetimes efficiencyof VBF H5+ selection after the ANN-based VBF selection at different mass points for the individual channels and the sum of all channels. The uncertainty includes both statistical and experimental systematic components.

The acceptancetimes efficiencyof VBF HVT W' selection after the ANN-based VBF selection at different mass points for the individual channels and the sum of all channels. The uncertainty includes both statistical and experimental systematic components.

The acceptancetimes efficiencyof VBF HVT W' selection after the ANN-based VBF selection at different mass points for the individual channels and the sum of all channels. The uncertainty includes both statistical and experimental systematic components.

The acceptancetimes efficiencyof VBF H5+ selection after the cut-based VBF selection at different mass points for the individual channels and the sum of all channels. The uncertainty includes both statistical and experimental systematic components.

The acceptancetimes efficiencyof VBF H5+ selection after the cut-based VBF selection at different mass points for the individual channels and the sum of all channels. The uncertainty includes both statistical and experimental systematic components.

The acceptancetimes efficiencyof VBF HVT W' selection after the cut-based VBF selection at different mass points for the individual channels and the sum of all channels. The uncertainty includes both statistical and experimental systematic components.

The acceptancetimes efficiencyof VBF HVT W' selection after the cut-based VBF selection at different mass points for the individual channels and the sum of all channels. The uncertainty includes both statistical and experimental systematic components.

Observed and expected 95% CL exclusion upper limits on sigma * B(W' -> WZ) for the Drell-Yan production of a W' boson in the HVT model as a function of its mass. The LO theory predictions for HVT Model A with g_V=1 and Model B with g_V=$ are also shown.

Observed and expected 95% CL exclusion upper limits on sigma * B(W' -> WZ) for the Drell-Yan production of a W' boson in the HVT model as a function of its mass. The LO theory predictions for HVT Model A with g_V=1 and Model B with g_V=3 are also shown.

Using the ANN VBF selection, observed and expected 95% CL upper limits on sigma * B(W' -> WZ) for the VBF production of a W' boson in the HVT with parameter c_F=0, as a function of its mass. The LO theory predictions for HVT VBF model with different values of the coupling parameters g_V and c_H are also shown.

Using the ANN VBF selection, observed and expected 95% CL upper limits on sigma * B(W' -> WZ) for the VBF production of a W' boson in the HVT with parameter c_F=0, as a function of its mass. The LO theory predictions for HVT VBF model with different values of the coupling parameters g_V and c_H are also shown.

Using the ANN VBF selection, observed and expected 95% CL upper limits on sigma * B(W' -> WZ) of the GM model as a function of m_H_5.

Using the ANN VBF selection, observed and expected 95% CL upper limits on sigma * B(W' -> WZ) of the GM model as a function of m_H_5.

Using the ANN VBF selection, observed and expected 95% CL upper limits on sin(thetaH) of the GM model as a function of m_H_5.

Using the ANN VBF selection, observed and expected 95% CL upper limits on sin(thetaH) of the GM model as a function of m_H_5.

Using the cut-based VBF selection, observed and expected 95% CL upper limits on sigma * B(W' -> WZ) for the VBF production of a W' boson in the HVT with parameter c_F=0, as a function of its mass. The LO theory predictions for HVT VBF model with different values of the coupling parameters g_V and c_H are also shown.

Using the cut-based VBF selection, observed and expected 95% CL upper limits on sigma * B(W' -> WZ) for the VBF production of a W' boson in the HVT with parameter c_F=0, as a function of its mass. The LO theory predictions for HVT VBF model with different values of the coupling parameters g_V and c_H are also shown.

Using the cut-based VBF selection, observed and expected 95% CL upper limits on sigma * B(W' -> WZ) of the GM model as a function of m_H_5.

Using the cut-based VBF selection, observed and expected 95% CL upper limits on sigma * B(W' -> WZ) of the GM model as a function of m_H_5.

Using the cut-based VBF selection, observed and expected 95% CL upper limits on sin(thetaH) of the GM model as a function of m_H_5.

Using the cut-based VBF selection, observed and expected 95% CL upper limits on sin(thetaH) of the GM model as a function of m_H_5.

Data selection efficiency as a function of nuclear recoil energy

Data points used in analysis in log_10(S2)-S1 space

Observed events and post-fit background yields for all 31 SRs

Expected and observed 95% CL cross section upper limits as a function of the stau mass in the degenerate stau scenario for m(LSP)=1 GeV

Expected and observed 95% CL cross section upper limits as a function of the stau mass in the degenerate stau scenario for m(LSP)=10 GeV

Expected and observed 95% CL cross section upper limits as a function of the stau mass in the degenerate stau scenario for m(LSP)=20 GeV

Expected and observed 95% CL cross section upper limits as a function of the stau mass in the degenerate stau scenario for m(LSP)=50 GeV

Expected and observed 95% CL cross section upper limits as a function of the stau mass in the left-handed stau scenario for m(LSP)=1 GeV

Expected and observed 95% CL cross section upper limits as a function of the stau mass in the left-handed stau scenario for m(LSP)=10 GeV

Expected and observed 95% CL cross section upper limits as a function of the stau mass in the left-handed stau scenario for m(LSP)=20 GeV

Expected and observed 95% CL cross section upper limits as a function of the stau mass in the left-handed stau scenario for m(LSP)=50 GeV

Expected and observed 95% CL cross section upper limits as a function of the stau mass in the right-handed stau scenario for m(LSP)=1 GeV

Expected and observed 95% CL cross section upper limits as a function of the stau mass in the right-handed stau scenario for m(LSP)=10 GeV

Expected and observed 95% CL cross section upper limits as a function of the stau mass in the right-handed stau scenario for m(LSP)=20 GeV

Expected and observed 95% CL cross section upper limits as a function of the stau mass in the right-handed stau scenario for m(LSP)=50 GeV

Observed 95% CL cross section upper limits for degenerate stau pair production in the stau-LSP mass plane

Expected exclusion limits assuming NLO+NLL predictions for signal cross sections for degenerate stau pair production in the stau-LSP mass plane

Observed exclusion limits assuming NLO+NLL predictions for signal cross sections for degenerate stau pair production in the stau-LSP mass plane

Observed 95% CL cross section upper limits for purely left-handed stau pair production in the stau-LSP mass plane

Expected exclusion limits assuming NLO+NLL predictions for signal cross sections for purely left-handed stau pair production in the stau-LSP mass plane

Observed exclusion limits assuming NLO+NLL predictions for signal cross sections for purely left-handed stau pair production in the stau-LSP mass plane

Expected and observed 95% CL cross section upper limits as a function of the stau mass for long-lived staus in the maximally-mixed stau scenario for m(LSP)=1 GeV and ctau_0(stau)=0.01mm

Expected and observed 95% CL cross section upper limits as a function of the stau mass for long-lived staus in the maximally-mixed stau scenario for m(LSP)=1 GeV and ctau_0(stau)=0.05mm

Expected and observed 95% CL cross section upper limits as a function of the stau mass for long-lived staus in the maximally-mixed stau scenario for m(LSP)=1 GeV and ctau_0(stau)=0.1mm

Expected and observed 95% CL cross section upper limits as a function of the stau mass for long-lived staus in the maximally-mixed stau scenario for m(LSP)=1 GeV and ctau_0(stau)=0.5mm

Expected and observed 95% CL cross section upper limits as a function of the stau mass for long-lived staus in the maximally-mixed stau scenario for m(LSP)=1 GeV and ctau_0(stau)=1mm

Expected and observed 95% CL cross section upper limits as a function of the stau mass for long-lived staus in the maximally-mixed stau scenario for m(LSP)=1 GeV and ctau_0(stau)=2.5mm