Transverse dilepton-$p_{T}^{miss}$ mass pre-fit distribution for selected events in SR2 of the di-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Dilepton mass pre-fit distribution for selected events in SR3 of the di-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Dilepton $p_T$ pre-fit distribution for selected events in SR3 of the di-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Dijet $p_T$ pre-fit distribution for selected events in the semi-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Lepton-dijet $p_T$ pre-fit distribution for selected events in the semi-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Maximum $p_T$ of the visible particles divided by the missing $p_T$, for selected events in the semi-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Pre-fit distribution of the $\Delta \phi$ angle between jets, for selected events in the semi-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Pre-fit distribution of the $\Delta \phi$ angle between the lepton and missing $p_T$, for selected events in the semi-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Pre-fit distribution of the $\Delta \phi$ angle between the lepton and the dijet system, for selected events in the semi-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Pre-fit distribution of the $\Delta R$ distance between the leptons, for selected events in the non-prompt validation region of the di-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Pre-fit distribution of the $\Delta \phi$ angle between the di-lepton system and the missing $p_T$, for selected events in the non-prompt validation region of the di-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Pre-fit distribution of the $\Delta \phi$ angle between the lepton and the di-jet system, for selected events in the non-prompt validation region of the semi-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Pre-fit distribution of the $\Delta \phi$ angle between the lepton-dijet system and the missing $p_T$, for selected events in the non-prompt validation region of the semi-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Leading lepton $p_T$ pre-fit distribution for selected events in the top control region of the di-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Trailing lepton $p_T$ pre-fit distribution for selected events in the top control region of the di-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Dilepton mass pre-fit distribution for selected events in the Drell-Yan control region of the di-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Missing $p_T$ pre-fit distribution for selected events in the Drell-Yan control region of the di-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Missing $p_T$ pre-fit distribution for selected events in the $WW$ control region of the di-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Dilepton $p_T$ pre-fit distribution for selected events in the $WW$ control region of the di-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Minimum $p_T$ of the visible particles divided by the missing $p_T$, for selected events in the top control region of the semi-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Pre-fit distribution of the $\Delta \phi$ angle between jets, for selected events in the top control region of the semi-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Pre-fit distribution of the $\Delta \phi$ angle between the lepton and missing $p_T$, for selected events in the $W$+jets control region of the semi-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Pre-fit distribution of the $\Delta \phi$ angle between the lepton and the dijet system, for selected events in the $W$+jets control region of the semi-leptonic channel for the full dataset. The error bars on the data points represent the statistical uncertainty of the data, and the error bars on the predicted yields represent the combined systematic and statistical uncertainty in each bin. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$. The last bin includes the overflow.

Unrolled $m_{ll}-m_{T}^{l min, p_{T}^{miss}}$ post-fit distributions in the di-leptonic channel in SR1 for the full data set. The histogram bins are spaced uniformly. Each group of five bins (from left to right) corresponds to $m_{T}^{l min, p_{T}^{miss}}$ distribution in a $m_{ll}$ region, placed in ascending order. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$.

Unrolled $m_{ll}-m_{T}^{l min, p_{T}^{miss}}$ post-fit distributions in the di-leptonic channel in SR2 for the full data set. The histogram bins are spaced uniformly. Each group of five bins (from left to right) corresponds to $m_{T}^{l min, p_{T}^{miss}}$ distribution in a $m_{ll}$ region, placed in ascending order. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$.

Unrolled $m_{ll}-m_{T}^{l min, p_{T}^{miss}}$ post-fit distributions in the di-leptonic channel in SR3 for the full data set. The histogram bins are spaced uniformly. Each group of five bins (from left to right) corresponds to $m_{T}^{l min, p_{T}^{miss}}$ distribution in a $m_{ll}$ region, placed in ascending order. The signal prediction represents the mass point: $m_s = 160 GeV, m_{\chi} = 100 GeV, m_{Z'} = 500 GeV$.

Post-fit BDT distributions in the semi-leptonic channel for the full data set in the top control region. The signal prediction represents the mass point: $m_{s} = 160$ GeV, $m_{\chi} = 100$ GeV, $m_{Z'} = 500$ GeV

Post-fit BDT distributions in the semi-leptonic channel for the full data set in the $W$+jets control region. The signal prediction represents the mass point: $m_{s} = 160$ GeV, $m_{\chi} = 100$ GeV, $m_{Z'} = 500$ GeV

Post-fit BDT distributions in the semi-leptonic channel in the 2016 signal region. The signal prediction represents the mass point: $m_{s} = 160$ GeV, $m_{\chi} = 100$ GeV, $m_{Z'} = 500$ GeV

Post-fit BDT distributions in the semi-leptonic channel in the 2017+2018 signal region. The signal prediction represents the mass point: $m_{s} = 160$ GeV, $m_{\chi} = 100$ GeV, $m_{Z'} = 500$ GeV

Contour of the 95% CL observed upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 100 GeV$.

Contour of the 95% CL expected + 2 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 100 GeV$.

Contour of the 95% CL expected + 1 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 100 GeV$.

Contour of the 95% CL expected upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 100 GeV$.

Contour of the 95% CL expected - 1 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 100 GeV$.

Contour of the 95% CL expected - 2 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 100 GeV$.

Contour of the 95% CL observed upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 150 GeV$.

Contour of the 95% CL expected + 2 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 150 GeV$.

Contour of the 95% CL expected + 1 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 150 GeV$.

Contour of the 95% CL expected upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 150 GeV$.

Contour of the 95% CL expected - 1 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 150 GeV$.

Contour of the 95% CL expected - 2 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 150 GeV$.

Contour of the 95% CL observed upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 200 GeV$.

Contour of the 95% CL expected + 2 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 200 GeV$.

Contour of the 95% CL expected + 1 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 200 GeV$.

Contour of the 95% CL expected upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 200 GeV$.

Contour of the 95% CL expected - 1 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 200 GeV$.

Contour of the 95% CL expected - 2 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 200 GeV$.

Contour of the 95% CL observed upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 300 GeV$.

Contour of the 95% CL expected + 2 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 300 GeV$.

Contour of the 95% CL expected + 1 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 300 GeV$.

Contour of the 95% CL expected upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 300 GeV$.

Contour of the 95% CL expected - 1 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 300 GeV$.

Contour of the 95% CL expected - 2 std. upper limits representing $\sigma / \sigma_{theory} = 1$ for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 300 GeV$.

The $\sigma / \sigma_{theory}$ 95% CL upper limit values for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 100 GeV$.

The $\sigma / \sigma_{theory}$ 95% CL upper limit values for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 150 GeV$.

The $\sigma / \sigma_{theory}$ 95% CL upper limit values for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 200 GeV$.

The $\sigma / \sigma_{theory}$ 95% CL upper limit values for the dark Higgs model in the ($m_{s}$, $m_{Z'}$) plane for $m_{\chi} = 300 GeV$.

pT differential Proton spectra as a function of spherocity within 0-1% nTracklets.

pT differential Lambda spectra as a function of spherocity within 0-1% nTracklets.

pT differential Xi spectra as a function of spherocity within 0-1% nTracklets.

pT differential Pion spectra as a function of spherocity within 0-1% nTracklets.

pT differential Kaon spectra as a function of spherocity within 0-1% nTracklets.

pT differential K0 spectra as a function of spherocity within 0-1% nTracklets.

pT differential Kstar spectra as a function of spherocity within 0-1% nTracklets.

Mean distributions as a function of Spherocity for nTracklets:0-1%.

pT differential Phito-pion ratios as a function of spherocity within 0-1% nTracklets.

pT differential Protonto-pion ratios as a function of spherocity within 0-1% nTracklets.

pT differential Lambdato-pion ratios as a function of spherocity within 0-1% nTracklets.

pT differential Xito-pion ratios as a function of spherocity within 0-1% nTracklets.

pT differential Kaonto-pion ratios as a function of spherocity within 0-1% nTracklets.

pT differential K0to-pion ratios as a function of spherocity within 0-1% nTracklets.

pT differential Kstarto-pion ratios as a function of spherocity within 0-1% nTracklets.

pT differential Protonto-pion ratios as a function of spherocity within 0-1% nTracklets.

pT differential Lambdato-pion ratios as a function of spherocity within 0-1% nTracklets.

pT differential Xito-pion ratios as a function of spherocity within 0-1% nTracklets.

pT differential Kaonto-pion ratios as a function of spherocity within 0-1% nTracklets.

pT differential K0to-pion ratios as a function of spherocity within 0-1% nTracklets.

pT differential hPoverPi_ratios as a function of spherocity within 0-1% nTracklets.

pT differential hLoverK0s_ratios as a function of spherocity within 0-1% nTracklets.

pT differential hXioverPhi_ratios as a function of spherocity within 0-1% nTracklets.

pT differential hK0soverK_ratios as a function of spherocity within 0-1% nTracklets and V0M.

Integrated double-ratios as a function of spherocity within 0-1% nTracklets, extrapolated over the full pT range.

Integrated double-ratios as a function of spherocity within 0-1% nTracklets, only utilizing the measured pT range.

pT differential Phito-pion ratios as a function of spherocity within 0-10% nTracklets.

pT differential Protonto-pion ratios as a function of spherocity within 0-10% nTracklets.

pT differential Lambdato-pion ratios as a function of spherocity within 0-10% nTracklets.

pT differential Xito-pion ratios as a function of spherocity within 0-10% nTracklets.

pT differential Kaonto-pion ratios as a function of spherocity within 0-10% nTracklets.

pT differential K0to-pion ratios as a function of spherocity within 0-10% nTracklets.

pT differential Kstarto-pion ratios as a function of spherocity within 0-10% nTracklets.

pT differential Phito-pion ratios as a function of spherocity within 0-1% V0M.

pT differential Protonto-pion ratios as a function of spherocity within 0-1% V0M.

pT differential Lambdato-pion ratios as a function of spherocity within 0-1% V0M.

pT differential Xito-pion ratios as a function of spherocity within 0-1% V0M.

pT differential Kaonto-pion ratios as a function of spherocity within 0-1% V0M.

pT differential K0to-pion ratios as a function of spherocity within 0-1% V0M.

pT differential Kstarto-pion ratios as a function of spherocity within 0-1% V0M.

Integrated double-ratios as a function of spherocity within 0-10% nTracklets, only utilizing the measured pT range.

Integrated double-ratios as a function of spherocity within 0-1% V0M, only utilizing the measured pT range.

One-dimensional transverse Doppler profiles of the Ps cloud with and without interaction with the 243 nm cooling laser beam at a fixed frequency detuning of −200 GHz. The semitransparent bands represent the statistical measurement error (one standard deviation of the average).

Number of Ps atoms with v$_{1D}$ < 3.7 × 10$^4$ m/s, as a function of the cooling laser frequency detuning, normalized to the number of Ps atoms in the absence of all lasers. The dashed horizontal line represents the reference population of Ps in this velocity range with the cooling laser off. The highest observed relative increase is 58(9)% at a cooling laser frequency detuning of −350 GHz. The semitransparent bands represent the statistical uncertainties (one standard deviation of the average).

$R_\mathrm{T}$ distribution using events with trigger particles $5<p_\mathrm{T}^\mathrm{trig}<40~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ in pp collisions at $\sqrt{s}=13~\mathrm{TeV}$

$p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the toward region for different $R_\mathrm{T}$ intervals using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for pp collisions at $\sqrt{s}=5.02~\mathrm{TeV}$

$p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the away region for different $R_\mathrm{T}$ intervals using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for pp collisions at $\sqrt{s}=5.02~\mathrm{TeV}$

$p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the transverse region for different $R_\mathrm{T}$ intervals using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for pp collisions at $\sqrt{s}=5.02~\mathrm{TeV}$

$p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the toward region for different $R_\mathrm{T}$ intervals using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for p-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

$p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the away region for different $R_\mathrm{T}$ intervals using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for p-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

$p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the transverse region for different $R_\mathrm{T}$ intervals using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for p-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

$p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the toward region for different $R_\mathrm{T}$ intervals using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

$p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the away region for different $R_\mathrm{T}$ intervals using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

$p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the transverse region for different $R_\mathrm{T}$ intervals using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

Average $p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the toward region using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for pp collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

Average $p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the toward region using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for p-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

Average $p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the toward region using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

Average $p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the away region using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for pp collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

Average $p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the away region using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for p-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

Average $p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the away region using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

Average $p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the transverse region using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for pp collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

Average $p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the transverse region using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for p-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

Average $p_\mathrm{T}$ as a function of $R_\mathrm{T}$ in the transverse region using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

$p_\mathrm{T}$-integrated yield normalised to $<N_\mathrm{ch}^\mathrm{T}>$ as a function of $R_\mathrm{T}$ in the toward region using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for pp collisions at $\sqrt{s}=5.02~\mathrm{TeV}$

$p_\mathrm{T}$-integrated yield normalised to $<N_\mathrm{ch}^\mathrm{T}>$ as a function of $R_\mathrm{T}$ in the away region using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for pp collisions at $\sqrt{s}=5.02~\mathrm{TeV}$

$p_\mathrm{T}$-integrated yield normalised to $<N_\mathrm{ch}^\mathrm{T}>$ as a function of $R_\mathrm{T}$ in the toward region using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for p-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

$p_\mathrm{T}$-integrated yield normalised to $<N_\mathrm{ch}^\mathrm{T}>$ as a function of $R_\mathrm{T}$ in the away region using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for p-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

$p_\mathrm{T}$-integrated yield normalised to $<N_\mathrm{ch}^\mathrm{T}>$ as a function of $R_\mathrm{T}$ in the toward region using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

$p_\mathrm{T}$-integrated yield normalised to $<N_\mathrm{ch}^\mathrm{T}>$ as a function of $R_\mathrm{T}$ in the away region using events with trigger particles $8<p_\mathrm{T}^\mathrm{trig}<15~\mathrm{GeV}/c$ in the pseudorapidity range of $|\eta|<0.8$ and with $p_\mathrm{T}>0.5~\mathrm{GeV}/c$ for Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02~\mathrm{TeV}$

The distributions of the invariant mass of the dilepton-photon system after the signal region selection before the fit to data.The shaded band represents the Monte Carlo statistical unc

The distributions of the invariant mass of the transverse mass of the WW system after the signal region selection before the fit to data.The shaded band represents the Monte Carlo statistical unc

The unrolled two-dimensional mTWW-mll$\gamma$ distributions with category 0 jet after the fit to data. The data are compared to the sum of the signal and expected background. The black points with error bars represent the data and their statistical uncertainties, whereas the hatched bands represent the total uncertainties in the predictions.

The unrolled two-dimensional mTWW-mll$\gamma$ distributions with category 1more jets after the fit to data. The data are compared to the sum of the signal and expected background. The black points with error bars represent the data and their statistical uncertainties, whereas the hatched bands represent the total uncertainties in the predictions.

Expected and observed 95% upper limits on the product of the production cross section and the branching fraction for a spin-0 resonance $X\rightarrow HY\rightarrow \gamma\gamma bb$, as a function of Y mass, for X mass = 350 GeV. The $\pm1$ and $\pm2$ $\sigma$ uncertainty bands are given in addition to the expected median value. Numerical values provided in this table correspond to Figure 7 of the publication.

Expected and observed 95% upper limits on the product of the production cross section and the branching fraction for a spin-0 resonance $X\rightarrow HY\rightarrow \gamma\gamma bb$, as a function of Y mass, for X mass = 400 GeV. The $\pm1$ and $\pm2$ $\sigma$ uncertainty bands are given in addition to the expected median value. Numerical values provided in this table correspond to Figure 7 of the publication.

Expected and observed 95% upper limits on the product of the production cross section and the branching fraction for a spin-0 resonance $X\rightarrow HY\rightarrow \gamma\gamma bb$, as a function of Y mass, for X mass = 450 GeV. The $\pm1$ and $\pm2$ $\sigma$ uncertainty bands are given in addition to the expected median value. Numerical values provided in this table correspond to Figure 7 of the publication.

Expected and observed 95% upper limits on the product of the production cross section and the branching fraction for a spin-0 resonance $X\rightarrow HY\rightarrow \gamma\gamma bb$, as a function of Y mass, for X mass = 500 GeV. The $\pm1$ and $\pm2$ $\sigma$ uncertainty bands are given in addition to the expected median value. Numerical values provided in this table correspond to Figure 7 of the publication.

Expected and observed 95% upper limits on the product of the production cross section and the branching fraction for a spin-0 resonance $X\rightarrow HY\rightarrow \gamma\gamma bb$, as a function of Y mass, for X mass = 550 GeV. The $\pm1$ and $\pm2$ $\sigma$ uncertainty bands are given in addition to the expected median value. Numerical values provided in this table correspond to Figure 7 of the publication.

Expected and observed 95% upper limits on the product of the production cross section and the branching fraction for a spin-0 resonance $X\rightarrow HY\rightarrow \gamma\gamma bb$, as a function of Y mass, for X mass = 600 GeV. The $\pm1$ and $\pm2$ $\sigma$ uncertainty bands are given in addition to the expected median value. Numerical values provided in this table correspond to Figure 7 of the publication.

Expected and observed 95% upper limits on the product of the production cross section and the branching fraction for a spin-0 resonance $X\rightarrow HY\rightarrow \gamma\gamma bb$, as a function of Y mass, for X mass = 650 GeV. The $\pm1$ and $\pm2$ $\sigma$ uncertainty bands are given in addition to the expected median value. Numerical values provided in this table correspond to Figure 7 of the publication.

Expected and observed 95% upper limits on the product of the production cross section and the branching fraction for a spin-0 resonance $X\rightarrow HY\rightarrow \gamma\gamma bb$, as a function of Y mass, for X mass = 700 GeV. The $\pm1$ and $\pm2$ $\sigma$ uncertainty bands are given in addition to the expected median value. Numerical values provided in this table correspond to Figure 7 of the publication.

Expected and observed 95% upper limits on the product of the production cross section and the branching fraction for a spin-0 resonance $X\rightarrow HY\rightarrow \gamma\gamma bb$, as a function of Y mass, for X mass = 750 GeV. The $\pm1$ and $\pm2$ $\sigma$ uncertainty bands are given in addition to the expected median value. Numerical values provided in this table correspond to Figure 7 of the publication.

Expected and observed 95% upper limits on the product of the production cross section and the branching fraction for a spin-0 resonance $X\rightarrow HY\rightarrow \gamma\gamma bb$, as a function of Y mass, for X mass = 800 GeV. The $\pm1$ and $\pm2$ $\sigma$ uncertainty bands are given in addition to the expected median value. Numerical values provided in this table correspond to Figure 7 of the publication.

Expected and observed 95% upper limits on the product of the production cross section and the branching fraction for a spin-0 resonance $X\rightarrow HY\rightarrow \gamma\gamma bb$, as a function of Y mass, for X mass = 850 GeV. The $\pm1$ and $\pm2$ $\sigma$ uncertainty bands are given in addition to the expected median value. Numerical values provided in this table correspond to Figure 7 of the publication.

Expected and observed 95% upper limits on the product of the production cross section and the branching fraction for a spin-0 resonance $X\rightarrow HY\rightarrow \gamma\gamma bb$, as a function of Y mass, for X mass = 900 GeV. The $\pm1$ and $\pm2$ $\sigma$ uncertainty bands are given in addition to the expected median value. Numerical values provided in this table correspond to Figure 7 of the publication.

Expected and observed 95% upper limits on the product of the production cross section and the branching fraction for a spin-0 resonance $X\rightarrow HY\rightarrow \gamma\gamma bb$, as a function of Y mass, for X mass = 950 GeV. The $\pm1$ and $\pm2$ $\sigma$ uncertainty bands are given in addition to the expected median value. Numerical values provided in this table correspond to Figure 7 of the publication.

Expected and observed 95% upper limits on the product of the production cross section and the branching fraction for a spin-0 resonance $X\rightarrow HY\rightarrow \gamma\gamma bb$, as a function of Y mass, for X mass = 1000 GeV. The $\pm1$ and $\pm2$ $\sigma$ uncertainty bands are given in addition to the expected median value. Numerical values provided in this table correspond to Figure 7 of the publication.

Full experimental (statistical and systematic) correlations (in \%) of the normalized partial decay rates over the $\overline{B}^0\to D^{*+} e^- \bar\nu_e$ and $\overline{B}^0\to D^{*+} \mu^- \bar\nu_\mu$ decays.

Measured partial decay rates $\Delta\Gamma$ (in units of $10^{-15}$ GeV) using the matrix inversion unfolding method

Average of normalized decay rates that are determined using the matrix inversion unfolding method

Full experimental (statistical and systematic) correlations (in \%) of the partial decay rates determined with the matrix inversion unfolding method for the $\overline{B}^0\to D^{*+} e^- \bar\nu_e$ and $\overline{B}^0\to D^{*+} \mu^- \bar\nu_\mu$ decays.

Full experimental (statistical and systematic) correlations (in \%) of the normalized partial decay rates determined using the matrix inversion unfolding method