$M_{\tau}$ distribution in signal region, (OS$\mu$, Belle II)

$M_{\tau}$ distribution in signal region, (SS$e$, Belle)

$M_{\tau}$ distribution in signal region, (SS$e$, Belle II)

$M_{\tau}$ distribution in signal region, (SS$\mu$, Belle)

$M_{\tau}$ distribution in signal region, (SS$\mu$, Belle II)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$ and $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (OS$e$, Belle)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$ and $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (OS$e$, Belle II)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$ and $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (OS$\mu$, Belle)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$ and $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (OS$\mu$, Belle II)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$ and $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (SS$e$, Belle)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$ and $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (SS$e$, Belle II)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$ and $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (SS$\mu$, Belle)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$ and $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (SS$\mu$, Belle II)

Efficiency as function the helicity angle of the kaon $\cos\theta_{K}$, and the helicity angle of the lepton $\cos\theta_{\ell}$ in bin e the four-momentum-transfer $q^{2}$, (OS$e$, Belle)

Efficiency as function the helicity angle of the kaon $\cos\theta_{K}$, and the helicity angle of the lepton $\cos\theta_{\ell}$ in bin e the four-momentum-transfer $q^{2}$, (OS$e$, Belle II)

Efficiency as function the helicity angle of the kaon $\cos\theta_{K}$, and the helicity angle of the lepton $\cos\theta_{\ell}$ in bin e the four-momentum-transfer $q^{2}$, (OS$\mu$, Belle)

Efficiency as function the helicity angle of the kaon $\cos\theta_{K}$, and the helicity angle of the lepton $\cos\theta_{\ell}$ in bin e the four-momentum-transfer $q^{2}$, (OS$\mu$, Belle II)

Efficiency as function the helicity angle of the kaon $\cos\theta_{K}$, and the helicity angle of the lepton $\cos\theta_{\ell}$ in bin e the four-momentum-transfer $q^{2}$, (SS$e$, Belle)

Efficiency as function the helicity angle of the kaon $\cos\theta_{K}$, and the helicity angle of the lepton $\cos\theta_{\ell}$ in bin e the four-momentum-transfer $q^{2}$, (SS$e$, Belle II)

Efficiency as function the helicity angle of the kaon $\cos\theta_{K}$, and the helicity angle of the lepton $\cos\theta_{\ell}$ in bin e the four-momentum-transfer $q^{2}$, (SS$\mu$, Belle)

Efficiency as function the helicity angle of the kaon $\cos\theta_{K}$, and the helicity angle of the lepton $\cos\theta_{\ell}$ in bin e the four-momentum-transfer $q^{2}$, (SS$\mu$, Belle II)

Efficiency as function of the helicity angle of the kaon $\cos\theta_{K}$, (OS$e$, Belle)

Efficiency as function of the helicity angle of the kaon $\cos\theta_{K}$, (OS$e$, Belle II)

Efficiency as function of the helicity angle of the kaon $\cos\theta_{K}$, (OS$\mu$, Belle)

Efficiency as function of the helicity angle of the kaon $\cos\theta_{K}$, (OS$\mu$, Belle II)

Efficiency as function of the helicity angle of the kaon $\cos\theta_{K}$, (SS$e$, Belle)

Efficiency as function of the helicity angle of the kaon $\cos\theta_{K}$, (SS$e$, Belle II)

Efficiency as function of the helicity angle of the kaon $\cos\theta_{K}$, (SS$\mu$, Belle)

Efficiency as function of the helicity angle of the kaon $\cos\theta_{K}$, (SS$\mu$, Belle II)

Efficiency as function of the helicity angle of the lepton $\cos\theta_{\ell}$, (OS$e$, Belle)

Efficiency as function of the helicity angle of the lepton $\cos\theta_{\ell}$, (OS$e$, Belle II)

Efficiency as function of the helicity angle of the lepton $\cos\theta_{\ell}$, (OS$\mu$, Belle)

Efficiency as function of the helicity angle of the lepton $\cos\theta_{\ell}$, (OS$\mu$, Belle II)

Efficiency as function of the helicity angle of the lepton $\cos\theta_{\ell}$, (SS$e$, Belle)

Efficiency as function of the helicity angle of the lepton $\cos\theta_{\ell}$, (SS$e$, Belle II)

Efficiency as function of the helicity angle of the lepton $\cos\theta_{\ell}$, (SS$\mu$, Belle)

Efficiency as function of the helicity angle of the lepton $\cos\theta_{\ell}$, (SS$\mu$, Belle II)

Efficiency as function of the acoplanarity angle $\phi$, (OS$e$, Belle)

Efficiency as function of the acoplanarity angle $\phi$, (OS$e$, Belle II)

Efficiency as function of the acoplanarity angle $\phi$, (OS$\mu$, Belle)

Efficiency as function of the acoplanarity angle $\phi$, (OS$\mu$, Belle II)

Efficiency as function of the acoplanarity angle $\phi$, (SS$e$, Belle)

Efficiency as function of the acoplanarity angle $\phi$, (SS$e$, Belle II)

Efficiency as function of the acoplanarity angle $\phi$, (SS$\mu$, Belle)

Efficiency as function of the acoplanarity angle $\phi$, (SS$\mu$, Belle II)

Efficiency as function of the four-momentum-transfer $q^{2}$, (OS$e$, Belle)

Efficiency as function of the four-momentum-transfer $q^{2}$, (OS$e$, Belle II)

Efficiency as function of the four-momentum-transfer $q^{2}$, (OS$\mu$, Belle)

Efficiency as function of the four-momentum-transfer $q^{2}$, (OS$\mu$, Belle II)

Efficiency as function of the four-momentum-transfer $q^{2}$, (SS$e$, Belle)

Efficiency as function of the four-momentum-transfer $q^{2}$, (SS$e$, Belle II)

Efficiency as function of the four-momentum-transfer $q^{2}$, (SS$\mu$, Belle)

Efficiency as function of the four-momentum-transfer $q^{2}$, (SS$\mu$, Belle II)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$, (OS$e$, Belle)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$, (OS$e$, Belle II)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$, (OS$\mu$, Belle)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$, (OS$\mu$, Belle II)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$, (SS$e$, Belle)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$, (SS$e$, Belle II)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$, (SS$\mu$, Belle)

Efficiency as function of the invariant mass squared $m^2(K^{*0}\ell)$, (SS$\mu$, Belle II)

Efficiency as function of the invariant mass squared $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (OS$e$, Belle)

Efficiency as function of the invariant mass squared $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (OS$e$, Belle II)

Efficiency as function of the invariant mass squared $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (OS$\mu$, Belle)

Efficiency as function of the invariant mass squared $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (OS$\mu$, Belle II)

Efficiency as function of the invariant mass squared $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (SS$e$, Belle)

Efficiency as function of the invariant mass squared $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (SS$e$, Belle II)

Efficiency as function of the invariant mass squared $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (SS$\mu$, Belle)

Efficiency as function of the invariant mass squared $m^2(K^{*0}t_{\tau})$, where $t_{\tau}$ is the track from the $\tau$, (SS$\mu$, Belle II)

The 95% CL limits on the cross-section $\sigma(pp \rightarrow Z' \rightarrow \chi \chi$) times branching ratio B in fb with all statistical and systematic uncertainties, for the $R_{\text{inv}}=$0.6 signal points.

Data yield in the PFN signal region.

Yield of data in the ANTELOPE signal region in the binning used for BumpHunter fitting.

Signal-selection efficiency as a function of the di-tau invariant mass squared $q^2$ for simulated events in the SR. The error bars indicate the statistical uncertainty.

Observed correlations between the production cross-sections multiplied by the $H \to WW^{\ast}$ branching ratio measured in data for each of the STXS categories.

Values of the negative log likelihood of 2-dimensional $\sigma_{VBF} \times B{H \to WW^{\ast}}$ versus $\sigma_{ggF} \times B_{H \to WW^{\ast}}$ scans.

Observed correlations between the production cross-sections multiplied by the $H \to WW^{\ast}$ branching ratio measured in data for each of the $\textrm{STXS}_\textrm{CP}$ categories.

Expected correlations between the production cross-sections multiplied by the $H \to WW^{\ast}$ branching ratio for each of the $\textrm{STXS}_\textrm{CP}$ categories.

Expected values and uncertainties for the signal strengths measured in each of the $\textrm{STXS}_\textrm{CP}$ categories, normalised to the corresponding SM predictions, for ggH and EW qqH production.

Best-fit values and uncertainties for the signal strengths measured in each of the $\textrm{STXS}_\textrm{CP}$ categories, normalised to the corresponding SM predictions, for ggH and EW qqH production.

The composition of the (orthonormal) eigenvectors defining the rotated basis in terms of operators in the Warsaw basis, labelled in terms of their corresponding Wilson coefficients.

Post-fit DNN distribution for the ggF different flavour 0-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 10\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the ggF different flavour 0-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 10\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the ggF different flavour 1-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 60\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the ggF different flavour 1-jet $60 \leq p_{T}^{\ell\ell, \textrm{miss}} < 120\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the ggF different flavour 1-jet $120 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the ggF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the ggF different flavour 1-jet $200 \leq p_{T}^{\ell\ell, \textrm{miss}} < 300\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the ggF different flavour 1-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 300\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the ggF different flavour 2-jet $200 \leq p_{T}^{\ell\ell, \textrm{miss}} < 300\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the ggF different flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 300\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the ggF same flavour 2-jet $200 \leq p_{T}^{\ell\ell, \textrm{miss}} < 300\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the ggF same flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 300\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF different flavour 1-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 60\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF different flavour 1-jet $60 \leq p_{T}^{\ell\ell, \textrm{miss}} < 120\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF different flavour 1-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 120\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $350 \leq m_{jj} < 700\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $700 \leq m_{jj} < 1000\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $1000 \leq m_{jj} < 1500\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $m_{jj} \geq 1500\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF same flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $350 \leq m_{jj} < 700\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF same flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $700 \leq m_{jj} < 1000\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF same flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $1000 \leq m_{jj} < 1500\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF same flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $m_{jj} \geq 1500\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF different flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $350 \leq m_{jj} < 1000\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF different flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $1000 \leq m_{jj} < 1500\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF different flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $m_{jj} \geq 1500\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF same flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $350 \leq m_{jj} < 1000\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF same flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $1000 \leq m_{jj} < 1500\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the VBF same flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $m_{jj} \geq 1500\ \textrm{GeV}$ signal region; the post-fit results are obtained from the 15-POI fit.

Post-fit DNN distribution for the ggF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $-\pi \leq \Delta \phi_{jj}^\pm < - \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the ggF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $- \frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < 0$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the ggF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $0 \leq \Delta \phi_{jj}^\pm < \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the ggF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $\frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < \pi$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the ggF different flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $-\pi \leq \Delta \phi_{jj}^\pm < - \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the ggF different flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $- \frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < 0$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the ggF different flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $0 \leq \Delta \phi_{jj}^\pm < \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the ggF different flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $\frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < \pi$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the ggF same flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $-\pi \leq \Delta \phi_{jj}^\pm < - \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the ggF same flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $- \frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < 0$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the ggF same flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $0 \leq \Delta \phi_{jj}^\pm < \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the ggF same flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $\frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < \pi$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $350 \leq m_{jj} < 700\ \textrm{GeV}$, $-\pi \leq \Delta \phi_{jj}^\pm < - \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $350 \leq m_{jj} < 700\ \textrm{GeV}$, $- \frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < 0$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $350 \leq m_{jj} < 700\ \textrm{GeV}$, $0 \leq \Delta \phi_{jj}^\pm < \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $350 \leq m_{jj} < 700\ \textrm{GeV}$, $\frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < \pi$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF same flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $350 \leq m_{jj} < 700\ \textrm{GeV}$, $-\pi \leq \Delta \phi_{jj}^\pm < - \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF same flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $350 \leq m_{jj} < 700\ \textrm{GeV}$, $- \frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < 0$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF same flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $350 \leq m_{jj} < 700\ \textrm{GeV}$, $0 \leq \Delta \phi_{jj}^\pm < \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF same flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $350 \leq m_{jj} < 700\ \textrm{GeV}$, $\frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < \pi$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $m_{jj} \geq 700\ \textrm{GeV}$, $-\pi \leq \Delta \phi_{jj}^\pm < - \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $m_{jj} \geq 700\ \textrm{GeV}$, $- \frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < 0$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $m_{jj} \geq 700\ \textrm{GeV}$, $0 \leq \Delta \phi_{jj}^\pm < \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF different flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $m_{jj} \geq 700\ \textrm{GeV}$, $\frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < \pi$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF same flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $m_{jj} \geq 700\ \textrm{GeV}$, $-\pi \leq \Delta \phi_{jj}^\pm < - \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF same flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $m_{jj} \geq 700\ \textrm{GeV}$, $- \frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < 0$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF same flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $m_{jj} \geq 700\ \textrm{GeV}$, $0 \leq \Delta \phi_{jj}^\pm < \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF same flavour 2-jet $0 \leq p_{T}^{\ell\ell, \textrm{miss}} < 200\ \textrm{GeV}$, $m_{jj} \geq 700\ \textrm{GeV}$, $\frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < \pi$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF different flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $m_{jj} \geq 350\ \textrm{GeV}$, $-\pi \leq \Delta \phi_{jj}^\pm < - \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF different flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $m_{jj} \geq 350\ \textrm{GeV}$, $- \frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < 0$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF different flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $m_{jj} \geq 350\ \textrm{GeV}$, $0 \leq \Delta \phi_{jj}^\pm < \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF different flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $m_{jj} \geq 350\ \textrm{GeV}$, $\frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < \pi$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF same flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $m_{jj} \geq 350\ \textrm{GeV}$, $-\pi \leq \Delta \phi_{jj}^\pm < - \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF same flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $m_{jj} \geq 350\ \textrm{GeV}$, $- \frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < 0$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF same flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $m_{jj} \geq 350\ \textrm{GeV}$, $0 \leq \Delta \phi_{jj}^\pm < \frac{\pi}{2}$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

Post-fit DNN distribution for the VBF same flavour 2-jet $p_{T}^{\ell\ell, \textrm{miss}} \geq 200\ \textrm{GeV}$, $m_{jj} \geq 350\ \textrm{GeV}$, $\frac{\pi}{2} \leq \Delta \phi_{jj}^\pm < \pi$ signal region used in the $\textrm{STXS}_\textrm{CP}$ measurement.

An example of the measured energy distribution in a single OHCal tower, showing the MIP distribution from a GEANT-4 simulation of cosmic-ray muons from EcoMug.

$\frac{dE_T}{d\eta}$ measurements in Au+Au collisions at $\sqrt{s_\mathrm{_{NN}}} = 200$ GeV over the pseudorapidity range $\left|\eta\right| < 1.1$.

Measurement of $\frac{dE_T}{d\eta}$ in 0-5% central Au+Au events as a function of $\eta$ over the range $\left|\eta\right| < 1.1$.

Measured $\frac{dE_T}{d\eta}$ normalized by the estimated number of participant pairs ($0.5$$N_{part}$), as a function of $N_{part}$, using the full calorimeter system.

Measured $\frac{dE_T}{d\eta}$ normalized by the estimated number of participant pairs ($0.5$$N_{part}$), as a function of $N_{part}$, predictions from AMPT.

Measured $\frac{dE_T}{d\eta}$ normalized by the estimated number of participant pairs ($0.5$$N_{part}$), as a function of $N_{part}$, predictions from EPOS.

Measured $\frac{dE_T}{d\eta}$ normalized by the estimated number of participant pairs ($0.5$$N_{part}$), as a function of $N_{part}$, predictions from HIJING.

Data from Figure 2, panel d, upper panel, $v_{0}(p_{T})$ for $\eta_{gap}$ = 1, 0-5% Centrality

Data from Figure 2, panel d, lower panel, $v_{0}(p_{T})$ for $\eta_{gap}$ = 1, 50-60% Centrality

Data from Figure 3, panel a, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, 0-5% Centrality, $\eta_{gap}$=0

Data from Figure 3, panel a, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, 0-5% Centrality, $\eta_{gap}$=1

Data from Figure 3, panel a, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, 0-5% Centrality, $\eta_{gap}$=2

Data from Figure 3, panel a, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, 0-5% Centrality, $\eta_{gap}$=3

Data from Figure 3, panel b, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, 60-70% Centrality, $\eta_{gap}$=0

Data from Figure 3, panel b, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, 60-70% Centrality, $\eta_{gap}$=1

Data from Figure 3, panel b, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, 60-70% Centrality, $\eta_{gap}$=2

Data from Figure 3, panel b, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, 60-70% Centrality, $\eta_{gap}$=3

Data from Figure 4, panel a, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 0-5% Centrality

Data from Figure 4, panel a, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 5-10% Centrality

Data from Figure 4, panel a, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 10-20% Centrality

Data from Figure 4, panel a, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 20-30% Centrality

Data from Figure 4, panel a, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 30-40% Centrality

Data from Figure 4, panel a, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 40-50% Centrality

Data from Figure 4, panel a, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 50-60% Centrality

Data from Figure 4, panel a, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 60-70% Centrality

Data from Figure 4, panel b, $v_{0}(p_{T})/v_{0}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 0-5% Centrality

Data from Figure 4, panel b, $v_{0}(p_{T})/v_{0}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 5-10% Centrality

Data from Figure 4, panel b, $v_{0}(p_{T})/v_{0}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 10-20% Centrality

Data from Figure 4, panel b, $v_{0}(p_{T})/v_{0}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 20-30% Centrality

Data from Figure 4, panel b, $v_{0}(p_{T})/v_{0}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 30-40% Centrality

Data from Figure 4, panel b, $v_{0}(p_{T})/v_{0}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 40-50% Centrality

Data from Figure 4, panel b, $v_{0}(p_{T})/v_{0}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 50-60% Centrality

Data from Figure 4, panel b, $v_{0}(p_{T})/v_{0}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 60-70% Centrality

Data from Figure 5, panel a, $v_{0}(p_{T})/v_{0}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 0-5% Centrality

Data from Figure 5, panel b, $v_{0}(p_{T})/v_{0}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$=1, 0-5% Centrality

Data from Appendix, Figure 6, panel a, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$ = 1, 0-5% Centrality

Data from Appendix, Figure 6, panel b, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$ = 1, 10-20% Centrality

Data from Appendix, Figure 6, panel c, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$ = 1, 30-40% Centrality

Data from Appendix, Figure 6, panel d, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$ = 1, 60-70% Centrality

Data from Appendix, Figure 7, Zero Crossing Point of $v_{0}(p_{T})$ for $\eta_{gap}$ = 1

Data from Appendix, Figure 7, $\left\langle [p_{T}]\right\rangle$ for $p_{T}$ range of 0.5-10 GeV, $\eta_{gap}$ = 1

Data from Appendix, Figure 8, panel a, Closure of Sum Rule 1 for $\eta_{gap}$ = 1

Data from Appendix, Figure 8, panel b, Closure of Sum Rule 2 for $\eta_{gap}$ = 1

Data from Appendix, Figure 9, panel a, $v_{0}$ vs $N_{ch}$ for $\eta_{gap}$ = 1

Data from Appendix, Figure 9, panel b, $v_{0} / v^{5\%}_{0}$ vs $N_{ch}$ for $\eta_{gap}$ = 1

Data from Appendix, Figure 10, panel a, $v_{0}\sqrt{N_{ch}}$ vs $N_{ch}$ for $\eta_{gap}$ = 1

Data from Appendix, Figure 10, panel b, $v_{0}\sqrt{N_{ch}}$ vs Centrality for $\eta_{gap}$ = 1

Data from Appendix, Figure 11, $v_{0}(p_{T})\,\sqrt{\left\langle N_{\mathrm{ch}}\right\rangle}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$ = 1, 0-5% Centrality

Data from Appendix, Figure 11, $v_{0}(p_{T})\,\sqrt{\left\langle N_{\mathrm{ch}}\right\rangle}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$ = 1, 5-10% Centrality

Data from Appendix, Figure 11, $v_{0}(p_{T})\,\sqrt{\left\langle N_{\mathrm{ch}}\right\rangle}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$ = 1, 10-20% Centrality

Data from Appendix, Figure 11, $v_{0}(p_{T})\,\sqrt{\left\langle N_{\mathrm{ch}}\right\rangle}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$ = 1, 20-30% Centrality

Data from Appendix, Figure 11, $v_{0}(p_{T})\,\sqrt{\left\langle N_{\mathrm{ch}}\right\rangle}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$ = 1, 30-40% Centrality

Data from Appendix, Figure 11, $v_{0}(p_{T})\,\sqrt{\left\langle N_{\mathrm{ch}}\right\rangle}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$ = 1, 40-50% Centrality

Data from Appendix, Figure 11, $v_{0}(p_{T})\,\sqrt{\left\langle N_{\mathrm{ch}}\right\rangle}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$ = 1, 50-60% Centrality

Data from Appendix, Figure 11, $v_{0}(p_{T})\,\sqrt{\left\langle N_{\mathrm{ch}}\right\rangle}$ for $p^{ref}_{T}$ = 0.5-2 GeV, $\eta_{gap}$ = 1, 60-70% Centrality

Data from Auxiliary, Figure 1, Top row, Left column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 0-5% Centrality, $\eta_{gap}$=0

Data from Auxiliary, Figure 1, Top row, Left column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 0-5% Centrality, $\eta_{gap}$=1

Data from Auxiliary, Figure 1, Top row, Left column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 0-5% Centrality, $\eta_{gap}$=2

Data from Auxiliary, Figure 1, Top row, Left column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 0-5% Centrality, $\eta_{gap}$=3

Data from Auxiliary, Figure 1, Top row, Right column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 60-70% Centrality, $\eta_{gap}$=0

Data from Auxiliary, Figure 1, Top row, Right column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 60-70% Centrality, $\eta_{gap}$=1

Data from Auxiliary, Figure 1, Top row, Right column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 60-70% Centrality, $\eta_{gap}$=2

Data from Auxiliary, Figure 1, Top row, Right column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 60-70% Centrality, $\eta_{gap}$=3

Data from Auxiliary, Figure 1, Bottom row, Left column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 0-5% Centrality, $\eta_{gap}$=0

Data from Auxiliary, Figure 1, Bottom row, Left column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 0-5% Centrality, $\eta_{gap}$=1

Data from Auxiliary, Figure 1, Bottom row, Left column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 0-5% Centrality, $\eta_{gap}$=2

Data from Auxiliary, Figure 1, Bottom row, Left column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 0-5% Centrality, $\eta_{gap}$=3

Data from Auxiliary, Figure 1, Bottom row, Right column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 60-70% Centrality, $\eta_{gap}$=0

Data from Auxiliary, Figure 1, Bottom row, Right column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 60-70% Centrality, $\eta_{gap}$=1

Data from Auxiliary, Figure 1, Bottom row, Right column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 60-70% Centrality, $\eta_{gap}$=2

Data from Auxiliary, Figure 1, Bottom row, Right column, $v_{0}(p_{T})$ for $p^{ref}_{T}$ = 0.5-5 GeV, 60-70% Centrality, $\eta_{gap}$=3

Data from Auxiliary, Figure 2, $v_{0}(p_{T})$ For $\eta_{gap}$ = 0, and 0-5% Centrality

Data from Auxiliary, Figure 2, $v_{0}(p_{T})$ For $\eta_{gap}$ = 0, and 5-10% Centrality

Data from Auxiliary, Figure 2, $v_{0}(p_{T})$ For $\eta_{gap}$ = 0, and 10-20% Centrality

Data from Auxiliary, Figure 2, $v_{0}(p_{T})$ For $\eta_{gap}$ = 0, and 20-30% Centrality

Data from Auxiliary, Figure 2, $v_{0}(p_{T})$ For $\eta_{gap}$ = 0, and 30-40% Centrality

Data from Auxiliary, Figure 2, $v_{0}(p_{T})$ For $\eta_{gap}$ = 0, and 40-50% Centrality

Data from Auxiliary, Figure 2, $v_{0}(p_{T})$ For $\eta_{gap}$ = 0, and 50-60% Centrality

Data from Auxiliary, Figure 2, $v_{0}(p_{T})$ For $\eta_{gap}$ = 0, and 60-70% Centrality

Data from Auxiliary, Figure 3, $v_{0}(p_{T})$ For $\eta_{gap}$ = 1, and 0-5% Centrality

Data from Auxiliary, Figure 3, $v_{0}(p_{T})$ For $\eta_{gap}$ = 1, and 5-10% Centrality

Data from Auxiliary, Figure 3, $v_{0}(p_{T})$ For $\eta_{gap}$ = 1, and 10-20% Centrality

Data from Auxiliary, Figure 3, $v_{0}(p_{T})$ For $\eta_{gap}$ = 1, and 20-30% Centrality

Data from Auxiliary, Figure 3, $v_{0}(p_{T})$ For $\eta_{gap}$ = 1, and 30-40% Centrality

Data from Auxiliary, Figure 3, $v_{0}(p_{T})$ For $\eta_{gap}$ = 1, and 40-50% Centrality

Data from Auxiliary, Figure 3, $v_{0}(p_{T})$ For $\eta_{gap}$ = 1, and 50-60% Centrality

Data from Auxiliary, Figure 3, $v_{0}(p_{T})$ For $\eta_{gap}$ = 1, and 60-70% Centrality

Data from Auxiliary, Figure 4, $v_{0}(p_{T})$ For $\eta_{gap}$ = 2, and 0-5% Centrality

Data from Auxiliary, Figure 4, $v_{0}(p_{T})$ For $\eta_{gap}$ = 2, and 5-10% Centrality

Data from Auxiliary, Figure 4, $v_{0}(p_{T})$ For $\eta_{gap}$ = 2, and 10-20% Centrality

Data from Auxiliary, Figure 4, $v_{0}(p_{T})$ For $\eta_{gap}$ = 2, and 20-30% Centrality

Data from Auxiliary, Figure 4, $v_{0}(p_{T})$ For $\eta_{gap}$ = 2, and 30-40% Centrality

Data from Auxiliary, Figure 4, $v_{0}(p_{T})$ For $\eta_{gap}$ = 2, and 40-50% Centrality

Data from Auxiliary, Figure 4, $v_{0}(p_{T})$ For $\eta_{gap}$ = 2, and 50-60% Centrality

Data from Auxiliary, Figure 4, $v_{0}(p_{T})$ For $\eta_{gap}$ = 2, and 60-70% Centrality

Data from Auxiliary, Figure 5, $v_{0}(p_{T})$ For $\eta_{gap}$ = 3, and 0-5% Centrality

Data from Auxiliary, Figure 5, $v_{0}(p_{T})$ For $\eta_{gap}$ = 3, and 5-10% Centrality

Data from Auxiliary, Figure 5, $v_{0}(p_{T})$ For $\eta_{gap}$ = 3, and 10-20% Centrality

Data from Auxiliary, Figure 5, $v_{0}(p_{T})$ For $\eta_{gap}$ = 3, and 20-30% Centrality

Data from Auxiliary, Figure 5, $v_{0}(p_{T})$ For $\eta_{gap}$ = 3, and 30-40% Centrality

Data from Auxiliary Figure 5, $v_{0}(p_{T})$ For $\eta_{gap}$ = 3, and 40-50% Centrality

Data from Auxiliary Figure 5, $v_{0}(p_{T})$ For $\eta_{gap}$ = 3, and 50-60% Centrality

Data from Auxiliary Figure 5, $v_{0}(p_{T})$ For $\eta_{gap}$ = 3, and 60-70% Centrality