Distributions of the VLQ-candidate mass, m_VLQ, in the (a–c) SRs, (d–f) W+jets CRs and (g–i) tt̄ CRs after the fit to the background-only hypothesis. The columns correspond from left to right to the low-, middle-, and high-p_T^W bins in each region. Other includes remaining backgrounds from top quarks or that contain two W/Z bosons. The last bin includes overflow. Note: the 'Data' values in the table are normalized by the width of the bin to correspond to the number of events per 100 GeV

Distributions of the VLQ-candidate mass, m_VLQ, in the (a–c) SRs, (d–f) W+jets CRs and (g–i) tt̄ CRs after the fit to the background-only hypothesis. The columns correspond from left to right to the low-, middle-, and high-p_T^W bins in each region. Other includes remaining backgrounds from top quarks or that contain two W/Z bosons. The last bin includes overflow. Note: the 'Data' values in the table are normalized by the width of the bin to correspond to the number of events per 100 GeV

Distributions of the VLQ-candidate mass, m_VLQ, in the (a–c) SRs, (d–f) W+jets CRs and (g–i) tt̄ CRs after the fit to the background-only hypothesis. The columns correspond from left to right to the low-, middle-, and high-p_T^W bins in each region. Other includes remaining backgrounds from top quarks or that contain two W/Z bosons. The last bin includes overflow. Note: the 'Data' values in the table are normalized by the width of the bin to correspond to the number of events per 100 GeV

Distributions of the VLQ-candidate mass, m_VLQ, in the (a–c) SRs, (d–f) W+jets CRs and (g–i) tt̄ CRs after the fit to the background-only hypothesis. The columns correspond from left to right to the low-, middle-, and high-p_T^W bins in each region. Other includes remaining backgrounds from top quarks or that contain two W/Z bosons. The last bin includes overflow. Note: the 'Data' values in the table are normalized by the width of the bin to correspond to the number of events per 100 GeV

Distributions of the VLQ-candidate mass, m_VLQ, in the (a–c) SRs, (d–f) W+jets CRs and (g–i) tt̄ CRs after the fit to the background-only hypothesis. The columns correspond from left to right to the low-, middle-, and high-p_T^W bins in each region. Other includes remaining backgrounds from top quarks or that contain two W/Z bosons. The last bin includes overflow. Note: the 'Data' values in the table are normalized by the width of the bin to correspond to the number of events per 100 GeV

Distributions of the VLQ-candidate mass, m_VLQ, in the (a–c) SRs, (d–f) W+jets CRs and (g–i) tt̄ CRs after the fit to the background-only hypothesis. The columns correspond from left to right to the low-, middle-, and high-p_T^W bins in each region. Other includes remaining backgrounds from top quarks or that contain two W/Z bosons. The last bin includes overflow. Note: the 'Data' values in the table are normalized by the width of the bin to correspond to the number of events per 100 GeV

Distributions of the VLQ-candidate mass, m_VLQ, in the W+jets VRs (a-f) and tt̄ VRs (g-i) after the fit to the background-only hypothesis. The columns correspond from left to right to the low-, middle-, and high-p_T^W bins in each region. Other includes remaining backgrounds from top quarks or containing combinations having two W/Z bosons. Last bin includes overflow. Note: the 'Data' values in the table are normalized by the width of the bin to correspond to the number of events per 100 GeV

Distributions of the VLQ-candidate mass, m_VLQ, in the W+jets VRs (a-f) and tt̄ VRs (g-i) after the fit to the background-only hypothesis. The columns correspond from left to right to the low-, middle-, and high-p_T^W bins in each region. Other includes remaining backgrounds from top quarks or containing combinations having two W/Z bosons. Last bin includes overflow. Note: the 'Data' values in the table are normalized by the width of the bin to correspond to the number of events per 100 GeV

Distributions of the VLQ-candidate mass, m_VLQ, in the W+jets VRs (a-f) and tt̄ VRs (g-i) after the fit to the background-only hypothesis. The columns correspond from left to right to the low-, middle-, and high-p_T^W bins in each region. Other includes remaining backgrounds from top quarks or containing combinations having two W/Z bosons. Last bin includes overflow. Note: the 'Data' values in the table are normalized by the width of the bin to correspond to the number of events per 100 GeV

Distributions of the VLQ-candidate mass, m_VLQ, in the W+jets VRs (a-f) and tt̄ VRs (g-i) after the fit to the background-only hypothesis. The columns correspond from left to right to the low-, middle-, and high-p_T^W bins in each region. Other includes remaining backgrounds from top quarks or containing combinations having two W/Z bosons. Last bin includes overflow. Note: the 'Data' values in the table are normalized by the width of the bin to correspond to the number of events per 100 GeV

Distributions of the VLQ-candidate mass, m_VLQ, in the W+jets VRs (a-f) and tt̄ VRs (g-i) after the fit to the background-only hypothesis. The columns correspond from left to right to the low-, middle-, and high-p_T^W bins in each region. Other includes remaining backgrounds from top quarks or containing combinations having two W/Z bosons. Last bin includes overflow. Note: the 'Data' values in the table are normalized by the width of the bin to correspond to the number of events per 100 GeV

Distributions of the VLQ-candidate mass, m_VLQ, in the W+jets VRs (a-f) and tt̄ VRs (g-i) after the fit to the background-only hypothesis. The columns correspond from left to right to the low-, middle-, and high-p_T^W bins in each region. Other includes remaining backgrounds from top quarks or containing combinations having two W/Z bosons. Last bin includes overflow. Note: the 'Data' values in the table are normalized by the width of the bin to correspond to the number of events per 100 GeV

Expected (background-only) and observed 95% CL upper limits on the VLQ coupling κ as functions of the VLQ mass m_Q, for T-singlet (a) and Y-triplet (b) vector-like quarks. The green and yellow bands indicate the systematic uncertainties which are profiled in the fit for the observed upper limits. For the T-singlet model, the result of the latest ATLAS combination of searches for single vector-like top-quarks  is overlaid; this includes the decay modes T→H t and T→Z t. These interpretations are limited to parameter combinations for which the model corrections are valid, by restricting the VLQ relative width to Γ_Q/m_Q < 0.5, as indicated by the grey dashed line.

Expected (background-only) and observed 95% CL upper limits on the VLQ coupling κ as functions of the VLQ mass m_Q, for T-singlet (a) and Y-triplet (b) vector-like quarks. The green and yellow bands indicate the systematic uncertainties which are profiled in the fit for the observed upper limits. For the T-singlet model, the result of the latest ATLAS combination of searches for single vector-like top-quarks  is overlaid; this includes the decay modes T→H t and T→Z t. These interpretations are limited to parameter combinations for which the model corrections are valid, by restricting the VLQ relative width to Γ_Q/m_Q < 0.5, as indicated by the grey dashed line.

Exclusion limit (at 95% CL) for (a) T-singlet and (b) Y-triplet, expressed in terms of an upper limit on the VLQ relative width Γ_Q/m_Q, within its validity range for the modelling used, as a function of the VLQ mass m_Q. This is an alternative presentation of the upper limit set in terms of the coupling κ in Figure 6. As can be seen by the fact the interference-included and signal-only exclusion curves overlap almost entirely, the effect of neglecting the interference is negligible for the vector-like Y-quark.

Exclusion limit (at 95% CL) for (a) T-singlet and (b) Y-triplet, expressed in terms of an upper limit on the VLQ relative width Γ_Q/m_Q, within its validity range for the modelling used, as a function of the VLQ mass m_Q. This is an alternative presentation of the upper limit set in terms of the coupling κ in Figure 6. As can be seen by the fact the interference-included and signal-only exclusion curves overlap almost entirely, the effect of neglecting the interference is negligible for the vector-like Y-quark.

$\xi$ distributions for different jet $p_T$ bins.

$\xi$ distributions for different jet $p_T$ bins.

The $j_T/p_{T}^{\rm jet}$ distributions for different jet $p_T$ bins.

The $j_T/p_{T}^{\rm jet}$ distributions for different jet $p_T$ bins.

$r$ distributions for different jet $p_T$ bins.

Normalized $p_{\mathrm{T}}$-spectrum ratio as a function as a function of centrality in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $E_{\mathrm{T}} \in$ $0.5 \leq |\eta|\leq 0.8$.

Normalized $p_{\mathrm{T}}$-spectrum ratio as a function as a function of centrality in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{tracklets}} \in$ $0.5 \leq |\eta|\leq 0.8$.

Normalized $p_{\mathrm{T}}$-spectrum ratio as a function as a function of centrality in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}} \in$ $-3.7<\eta<-1.7$ and $2.8 < \eta <5.1$.

Event fraction distribution as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}} \in -3.7<\eta<-1.7$ and $2.8 < \eta <5.1$.

Event fraction distribution as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}} \in |\eta|\leq 0.8$.

Event fraction distribution as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $E_{\mathrm{T}} \in |\eta|\leq 0.8$.

Correlation between $\langle p_{\mathrm{T}} \rangle / \langle p_{\mathrm{T}} \rangle ^{\mathrm{0-5\%}}$ and $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}}$ $\in$ $|\eta| \leq 0.8$.

Correlation between $\langle p_{\mathrm{T}} \rangle / \langle p_{\mathrm{T}} \rangle ^{\mathrm{0-5\%}}$ and $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}}$ $\in$ $0.5 \leq |\eta| \leq 0.8$.

Correlation between $\langle p_{\mathrm{T}} \rangle / \langle p_{\mathrm{T}} \rangle ^{\mathrm{0-5\%}}$ and $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $E_{\mathrm{T}}$ $\in$ $|\eta| \leq 0.8$.

Correlation between $\langle p_{\mathrm{T}} \rangle / \langle p_{\mathrm{T}} \rangle ^{\mathrm{0-5\%}}$ and $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $E_{\mathrm{T}}$ $\in$ $0.5 \leq |\eta| \leq 0.8$.

Correlation between $\langle p_{\mathrm{T}} \rangle / \langle p_{\mathrm{T}} \rangle ^{\mathrm{0-5\%}}$ and $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{tracklets}}$ $\in$ $|\eta| \leq 0.8$.

Correlation between $\langle p_{\mathrm{T}} \rangle / \langle p_{\mathrm{T}} \rangle ^{\mathrm{0-5\%}}$ and $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{tracklets}}$ $\in$ $0.5 \leq |\eta| \leq 0.8$.

Correlation between $\langle p_{\mathrm{T}} \rangle / \langle p_{\mathrm{T}} \rangle ^{\mathrm{0-5\%}}$ and $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{tracklets}}$ $\in$ $0.3 \leq |\eta| \leq 0.6$.

Correlation between $\langle p_{\mathrm{T}} \rangle / \langle p_{\mathrm{T}} \rangle ^{\mathrm{0-5\%}}$ and $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{tracklets}}$ $\in$ $0.7 \leq |\eta| \leq 1$.

Correlation between $\langle p_{\mathrm{T}} \rangle / \langle p_{\mathrm{T}} \rangle ^{\mathrm{0-5\%}}$ and $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}}$ $\in$ $-3.7<\eta<-1.7$ and $2.8 < \eta <5.1$.

Extracted $c_{\mathrm{s}}^{2}$ as a function of the minimum pseudorapidity gap between the centrality estimation and transverse-momentum spectra measurement in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$.

$k_{2}/k_{2}^{0-5\%}$ as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}}$ $\in$ $|\eta| \leq 0.8$.

$k_{2}/k_{2}^{0-5\%}$ as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $E_{\mathrm{T}}$ $\in$ $|\eta| \leq 0.8$.

$k_{2}/k_{2}^{0-5\%}$ as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}}$ $\in$ $-3.7<\eta<-1.7$ and $2.8 < \eta <5.1$.

$k_{3}/k_{3}^{0-5\%}$ as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}}$ $\in$ $|\eta| \leq 0.8$.

$k_{3}/k_{3}^{0-5\%}$ as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $E_{\mathrm{T}}$ $\in$ $|\eta| \leq 0.8$.

$k_{3}/k_{3}^{0-5\%}$ as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}}$ $\in$ $-3.7<\eta<-1.7$ and $2.8 < \eta <5.1$.

$\gamma_{\langle [p_{\mathrm{T}}] \rangle}/\gamma_{\langle [p_{\mathrm{T}}] \rangle}^{0-5\%}$ as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}}$ $\in$ $|\eta| \leq 0.8$.

$\gamma_{\langle [p_{\mathrm{T}}] \rangle}/\gamma_{\langle [p_{\mathrm{T}}] \rangle}^{0-5\%}$ as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $E_{\mathrm{T}}$ $\in$ $|\eta| \leq 0.8$.

$\gamma_{\langle [p_{\mathrm{T}}] \rangle}/\gamma_{\langle [p_{\mathrm{T}}] \rangle}^{0-5\%}$ as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}}$ $\in$ $-3.7<\eta<-1.7$ and $2.8 < \eta <5.1$.

$\Gamma_{\langle [p_{\mathrm{T}}] \rangle}/\Gamma_{\langle [p_{\mathrm{T}}] \rangle}^{0-5\%}$ as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}}$ $\in$ $|\eta| \leq 0.8$.

$\Gamma_{\langle [p_{\mathrm{T}}] \rangle}/\Gamma_{\langle [p_{\mathrm{T}}] angle}^{0-5\%}$ as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $E_{\mathrm{T}}$ $\in$ $|\eta| \leq 0.8$.

$\Gamma_{\langle [p_{\mathrm{T}}] \rangle}/\Gamma_{\langle [p_{\mathrm{T}}] \rangle}^{0-5\%}$ as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}}$ $\in$ $-3.7<\eta<-1.7$ and $2.8 < \eta <5.1$.

$\kappa_{\langle [p_{\mathrm{T}}] \rangle}/\kappa_{\langle [p_{\mathrm{T}}] \rangle}^{0-5\%}$ as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}}$ $\in$ $|\eta| \leq 0.8$.

$\kappa_{\langle [p_{\mathrm{T}}] \rangle}/\kappa_{\langle [p_{\mathrm{T}}] \rangle}^{0-5\%}$ as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $E_{\mathrm{T}}$ $\in$ $|\eta| \leq 0.8$.

$\kappa_{\langle [p_{\mathrm{T}}] \rangle}/\kappa_{\langle [p_{\mathrm{T}}] \rangle}^{0-5\%}$ as a function of $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}}$ $\in$ $-3.7<\eta<-1.7$ and $2.8 < \eta <5.1$.

Correlation between $\langle p_{\mathrm{T}} \rangle / \langle p_{\mathrm{T}} \rangle ^{\mathrm{0-5\%}}$ and $\langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle / \langle \mathrm{d}N_{\mathrm{ch}}/\mathrm{d}\eta \rangle ^{\mathrm{0-5\%}}$ in $\mathrm{Pb}-\mathrm{Pb}$ collisions at $\sqrt{s_{\mathrm{NN}}} = 5.02~\mathrm{TeV}$. Data points are shown for centrality estimator based on $N_{\mathrm{ch}}$ $\in$ $0.5 \leq |\eta| \leq 0.8$ with $0.45 \leq p_{\mathrm{T}} \leq 50~\mathrm{GeV}/c.$.

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.

$R_{\rm p}$ vs. $m_{\rm T}$ for $0-10\%$ centrality for Pb-Pb collisions at 5020 GeV.

$R_{\rm p}$ vs. $m_{\rm T}$ for $10-30\%$ centrality for Pb-Pb collisions at 5020 GeV.

$R_{\rm p}$ vs. $m_{\rm T}$ for $30-50\%$ centrality for Pb-Pb collisions at 5020 GeV.

$R_{\rm N}$ vs. $m_{\rm T}$ for $0-10\%$ centrality for Pb-Pb collisions at 5020 GeV.

$R_{\rm N}$ vs. $m_{\rm T}$ for $10-30\%$ centrality for Pb-Pb collisions at 5020 GeV.

$R_{\rm N}$ vs. $m_{\rm T}$ for $30-50\%$ centrality for Pb-Pb collisions at 5020 GeV.

$R_{\rm d}$ vs. $m_{\rm T}$ for $0-10\%$ centrality for Pb-Pb collisions at 5020 GeV.

$R_{\rm d}$ vs. $m_{\rm T}$ for $10-30\%$ centrality for Pb-Pb collisions at 5020 GeV.

$R_{\rm d}$ vs. $m_{\rm T}$ for $30-50\%$ centrality for Pb-Pb collisions at 5020 GeV.

$R_{\rm p}$ vs. '<dN_{ch}/d \eta>^{1/3}' for mT bin 0 for Pb-Pb collisions at 5020 GeV.

$R_{\rm p}$ vs. '<dN_{ch}/d \eta>^{1/3}' for mT bin 1 for Pb-Pb collisions at 5020 GeV.

$R_{\rm p}$ vs. '<dN_{ch}/d \eta>^{1/3}' for mT bin 2 for Pb-Pb collisions at 5020 GeV.

$R_{\rm p}$ vs. '<dN_{ch}/d \eta>^{1/3}' for mT bin 3 for Pb-Pb collisions at 5020 GeV.

$R_{\rm p}$ vs. '<dN_{ch}/d \eta>^{1/3}' for mT bin 4 for Pb-Pb collisions at 5020 GeV.

$R_{\rm p}$ vs. '<dN_{ch}/d \eta>^{1/3}' for mT bin 5 for Pb-Pb collisions at 5020 GeV.

$R_{\rm p}$ vs. '<dN_{ch}/d \eta>^{1/3}' for mT bin 6 for Pb-Pb collisions at 5020 GeV.

$R_{\rm p}$ vs.'<dN_{ch}/d \eta>^{1/3}' for mT bin 7 for Pb-Pb collisions at 5020 GeV.

proton-deuteron (same charge) correlation function for centrality 0-10% from Pb-Pb collisions at 5020 GeV

proton-deuteron (same charge) correlation function for centrality 10-30% from Pb-Pb collisions at 5020 GeV

proton-deuteron (same charge) correlation function for centrality 30-50% from Pb-Pb collisions at 5020 GeV

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.

The $p_\mathrm{T}$ dependence of $v_{0}(p_\mathrm{T})/v_{0}$ for inclusive charged particles is measured in Pb$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV within the 10$–$20% centrality interval, using a two-particle correlation method with a pseudorapidity gap of $\Delta\eta = 0.4$.

The $p_\mathrm{T}$ dependence of $v_{0}(p_\mathrm{T})/v_{0}$ for inclusive charged particles is measured in Pb$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV within the 30$–$40% centrality interval, using a two-particle correlation method with a pseudorapidity gap of $\Delta\eta = 0.4$.

The $p_\mathrm{T}$ dependence of $v_{0}(p_\mathrm{T})/v_{0}$ for inclusive charged particles is measured in Pb$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV within the 60$–$70% centrality interval, using a two-particle correlation method with a pseudorapidity gap of $\Delta\eta = 0.4$.

The $p_\mathrm{T}$ dependence of $v_{0}(p_\mathrm{T})$ for pions is measured in Pb$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV within the 10$–$20% centrality interval, using a two-particle correlation method with a pseudorapidity gap of $\Delta\eta = 0.4$.

The $p_\mathrm{T}$ dependence of $v_{0}(p_\mathrm{T})$ for kaons is measured in Pb$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV within the 10$–$20% centrality interval, using a two-particle correlation method with a pseudorapidity gap of $\Delta\eta = 0.4$.

The $p_\mathrm{T}$ dependence of $v_{0}(p_\mathrm{T})$ for protons is measured in Pb$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV within the 10$–$20% centrality interval, using a two-particle correlation method with a pseudorapidity gap of $\Delta\eta = 0.4$.

The $p_\mathrm{T}$ dependence of $v_{0}(p_\mathrm{T})$ for pions is measured in Pb$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV within the 30$–$40% centrality interval, using a two-particle correlation method with a pseudorapidity gap of $\Delta\eta = 0.4$.

The $p_\mathrm{T}$ dependence of $v_{0}(p_\mathrm{T})$ for kaons is measured in Pb$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV within the 30$–$40% centrality interval, using a two-particle correlation method with a pseudorapidity gap of $\Delta\eta = 0.4$.

The $p_\mathrm{T}$ dependence of $v_{0}(p_\mathrm{T})$ for protons is measured in Pb$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV within the 30$–$40% centrality interval, using a two-particle correlation method with a pseudorapidity gap of $\Delta\eta = 0.4$.

The $p_\mathrm{T}$ dependence of $v_{0}(p_\mathrm{T})$ for pions is measured in Pb$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV within the 60$–$70% centrality interval, using a two-particle correlation method with a pseudorapidity gap of $\Delta\eta = 0.4$.

The $p_\mathrm{T}$ dependence of $v_{0}(p_\mathrm{T})$ for kaons is measured in Pb$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV within the 60$–$70% centrality interval, using a two-particle correlation method with a pseudorapidity gap of $\Delta\eta = 0.4$.

The $p_\mathrm{T}$ dependence of $v_{0}(p_\mathrm{T})$ for protons is measured in Pb$-$Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV within the 60$–$70% centrality interval, using a two-particle correlation method with a pseudorapidity gap of $\Delta\eta = 0.4$.

$\Delta R_{\rm axis}$ distribution for ${\rm STD-WTA / STD-D^0}$ for $\rm D^0$-tagged jets of $R=0.4$, in the intervals $10<p_{\rm T}^{\rm ch \ jet}<20 \ {\rm GeV}/c$ and $5<p_{\rm T}^{\rm D^0}<20 \ {\rm GeV}/c$.

$\Delta R_{\rm axis}$ distribution for $\rm STD-D^0$ for $\rm D^0$-tagged jets of $R=0.4$, in the intervals $10<p_{\rm T}^{\rm ch \ jet}<20 \ {\rm GeV}/c$ and $5<p_{\rm T}^{\rm D^0}<20 \ {\rm GeV}/c$.

$\Delta R_{\rm axis}$ distribution for $\rm SD-D^0$ with grooming setting ($z_{\rm cut} = 0.1, \beta = 0$) for $\rm D^0$-tagged jets of $R=0.4$, in the intervals $10<p_{\rm T}^{\rm ch \ jet}<20 \ {\rm GeV}/c$ and $5<p_{\rm T}^{\rm D^0}<20 \ {\rm GeV}/c$.

$\Delta R_{\rm axis}$ distribution for $\rm SD-D^0$ with grooming setting ($z_{\rm cut} = 0.2, \beta = 0$) for $\rm D^0$-tagged jets of $R=0.4$, in the intervals $10<p_{\rm T}^{\rm ch \ jet}<20 \ {\rm GeV}/c$ and $5<p_{\rm T}^{\rm D^0}<20 \ {\rm GeV}/c$.

$\Delta R_{\rm axis}$ distribution for $\rm SD-D^0$ with grooming setting ($z_{\rm cut} = 0.1, \beta = 0$) for $\rm D^0$-tagged jets of $R=0.4$, in the intervals $10<p_{\rm T}^{\rm ch \ jet}<20 \ {\rm GeV}/c$ and $5<p_{\rm T}^{\rm D^0}<20 \ {\rm GeV}/c$.

$\Delta R_{\rm axis}$ distribution for $\rm WTA-SD$ with grooming setting ($z_{\rm cut} = 0.1, \beta = 0$) for $\rm D^0$-tagged jets of $R=0.4$, in the intervals $10<p_{\rm T}^{\rm ch \ jet}<20 \ {\rm GeV}/c$ and $5<p_{\rm T}^{\rm D^0}<20 \ {\rm GeV}/c$.

$\Delta R_{\rm axis}$ distribution for ${\rm WTA-SD / SD-D^0}$ with grooming setting ($z_{\rm cut} = 0.1, \beta = 0$) for $\rm D^0$-tagged jets of $R=0.4$, in the intervals $10<p_{\rm T}^{\rm ch \ jet}<20 \ {\rm GeV}/c$ and $5<p_{\rm T}^{\rm D^0}<20 \ {\rm GeV}/c$.

$\Delta R_{\rm axis}$ distribution for $\rm WTA-SD$ with grooming setting ($z_{\rm cut} = 0.2, \beta = 0$) for $\rm D^0$-tagged jets of $R=0.4$, in the intervals $10<p_{\rm T}^{\rm ch \ jet}<20 \ {\rm GeV}/c$ and $5<p_{\rm T}^{\rm D^0}<20 \ {\rm GeV}/c$.

$\Delta R_{\rm axis}$ distribution for ${\rm WTA-SD / SD-D^0}$ with grooming setting ($z_{\rm cut} = 0.2, \beta = 0$) for $\rm D^0$-tagged jets of $R=0.4$, in the intervals $10<p_{\rm T}^{\rm ch \ jet}<20 \ {\rm GeV}/c$ and $5<p_{\rm T}^{\rm D^0}<20 \ {\rm GeV}/c$.

$\Delta R_{\rm axis}$ distribution for $\rm STD-SD$ with grooming setting ($z_{\rm cut} = 0.1, \beta = 0$) for $\rm D^0$-tagged jets of $R=0.4$, in the intervals $10<p_{\rm T}^{\rm ch \ jet}<20 \ {\rm GeV}/c$ and $5<p_{\rm T}^{\rm D^0}<20 \ {\rm GeV}/c$.

$\Delta R_{\rm axis}$ distribution for $\rm STD-SD$ with grooming setting ($z_{\rm cut} = 0.2, \beta = 0$) for $\rm D^0$-tagged jets of $R=0.4$, in the intervals $10<p_{\rm T}^{\rm ch \ jet}<20 \ {\rm GeV}/c$ and $5<p_{\rm T}^{\rm D^0}<20 \ {\rm GeV}/c$.

$\Delta R_{\rm axis}$ distribution for the ratio of $\rm STD-SD$ ($z_{\rm cut} = 0.2, \beta=0$) over $\rm STD-SD$ ($z_{\rm cut} = 0.1, \beta=0$) for $\rm D^0$-tagged jets of $R=0.4$, in the intervals $10<p_{\rm T}^{\rm ch \ jet}<20 \ {\rm GeV}/c$ and $5<p_{\rm T}^{\rm D^0}<20 \ {\rm GeV}/c$.

$\Delta R_{\rm axis}$ distribution for the ratio of $\rm SD-D^0$ ($z_{\rm cut} = 0.2, \beta=0$) over $\rm SD-D^0$ ($z_{\rm cut} = 0.1, \beta=0$) for $\rm D^0$-tagged jets of $R=0.4$, in the intervals $10<p_{\rm T}^{\rm ch \ jet}<20 \ {\rm GeV}/c$ and $5<p_{\rm T}^{\rm D^0}<20 \ {\rm GeV}/c$.

pion-deuteron (opposite charge) correlation function for centrality 0-10% from Pb-Pb collisions at 5020 GeV

pion-deuteron (opposite charge) correlation function for centrality 10-30% from Pb-Pb collisions at 5020 GeV

pion-deuteron (opposite charge) correlation function for centrality 30-50% from Pb-Pb collisions at 5020 GeV

$R_{\rm inv}$ vs. $m_{\rm T}$ for $0-10\%$ centrality for ${\rm \overline{p}}$, rescaled value from 2760GeV to 5020GeV.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $10-30\%$ centrality for ${\rm \overline{p}}$, rescaled value from 2760GeV to 5020GeV.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $30-50\%$ centrality for ${\rm \overline{p}}$, rescaled value from 2760GeV to 5020GeV.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $0-10\%$ centrality for ${\rm {p}}$, rescaled value from 2760GeV to 5020GeV.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $10-30\%$ centrality for ${\rm {p}}$, rescaled value from 2760GeV to 5020GeV.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $30-50\%$ centrality for ${\rm {p}}$, rescaled value from 2760GeV to 5020GeV.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $0-10\%$ centrality for ${\rm K^{ 0}_S}$, rescaled value from 2760GeV to 5020GeV.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $10-30\%$ centrality for ${\rm K^{ 0}_S}$, rescaled value from 2760GeV to 5020GeV.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $30-50\%$ centrality for ${\rm K^{ 0}_S}$, rescaled value from 2760GeV to 5020GeV.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $0-10\%$ centrality for ${\rm K^{\pm}}$, rescaled value from 2760GeV to 5020GeV.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $10-30\%$ centrality for ${\rm K^{\pm}}$, rescaled value from 2760GeV to 5020GeV.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $30-50\%$ centrality for ${\rm K^{\pm}}$, rescaled value from 2760GeV to 5020GeV.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $0-10\%$ centrality for $\pi^{\pm}$, rescaled value from 2760GeV to 5020GeV.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $10-30\%$ centrality for $\pi^{\pm}$, rescaled value from 2760GeV to 5020GeV.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $30-50\%$ centrality for $\pi^{\pm}$, rescaled value from 2760 GeV to 5020 GeV.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $0-10\%$ centrality for ${\rm {d}(\rm {\overline{d}})}$.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $10-30\%$ centrality for ${\rm {d}(\rm {\overline{d}})}$.

$R_{\rm inv}$ vs. $m_{\rm T}$ for $30-50\%$ centrality for ${\rm {d}(\rm {\overline{d}})}$.