Comparison of the measured data to the expected $p_\text{T}(\ell^+\nu b)$ distributions estimated from MC simulation in the $\ell^+$ SR. The background scale factors are applied and only the central values are given.

Comparison of the measured data to the expected $p_\text{T}(\ell^-\nu b)$ distributions estimated from MC simulation in the $\ell^-$ SR. The background scale factors are applied and only the central values are given.

Comparison of the measured data to the expected $|y(\ell^+\nu b)|$ distributions estimated from MC simulation in the $\ell^+$ SR. The background scale factors are applied and only the central values are given.

Comparison of the measured data to the expected $|y(\ell^-\nu b)|$ distributions estimated from MC simulation in the $\ell^-$ SR. The background scale factors are applied and only the central values are given.

Summary of the uncertainties on the absolute differential $tq$ production cross-sections measured as a function of $p_\text{T}(t)$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the absolute differential $\bar{t}q$ production cross-section as a function of $p_\text{T}(\bar{t})$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the absolute differential $tq$ production cross-sections measured as a function of $|y(t)|$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the absolute differential $\bar{t}q$ production cross-section as a function of $|y(\bar{t})|$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the ratio of the absolute differential $tq$ and $\bar{t}q$ production cross-sections measured as a function of $p_\text{T}(t\ \text{or}\ \bar{t})$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the ratio of the absolute differential $tq$ and $\bar{t}q$ production cross-sections measured as a function of $|y(t\ \text{or}\ \bar{t})|$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the normalised differential $tq$ production cross-sections measured as a function of $p_\text{T}(t)$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the normalised differential $\bar{t}q$ production cross-section as a function of $p_\text{T}(\bar{t})$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the normalised differential $tq$ production cross-sections measured as a function of $|y(t)|$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the normalised differential $\bar{t}q$ production cross-section as a function of $|y(\bar{t})|$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Absolute unfolded differential $tq$ cross-section $p_\text{T}(t)$. The shaded band indicates the total measurement uncertainty. For the sake of brevity, all theory predictions are added to this table. The attached plot shows the MCFM predictions only. The cross-section is compared to the theoretical predictions from FO calculations done with MCFM at LO, NLO and NNLO, predictions obtained with Powheg+Pythia8 with different PDF sets and predictions from different MC event generators and parton shower programs with the NNPDF3.0 PDF set.

Absolute unfolded differential $\bar{t}q$ cross-section $p_\text{T}(\bar{t})$. The shaded band indicates the total measurement uncertainty. For the sake of brevity, all theory predictions are added to this table. The attached plot shows the MCFM predictions only. The cross-section is compared to the theoretical predictions from FO calculations done with MCFM at LO, NLO and NNLO, predictions obtained with Powheg+Pythia8 with different PDF sets and predictions from different MC event generators and parton shower programs with the NNPDF3.0 PDF set.

Absolute unfolded differential $tq$ cross-section $|y(t)|$. The shaded band indicates the total measurement uncertainty. For the sake of brevity, all theory predictions are added to this table. The attached plot shows the MCFM predictions only. The cross-section is compared to the theoretical predictions from FO calculations done with MCFM at LO, NLO and NNLO, predictions obtained with Powheg+Pythia8 with different PDF sets and predictions from different MC event generators and parton shower programs with the NNPDF3.0 PDF set.

Absolute unfolded differential $\bar{t}q$ cross-section $|y(\bar{t})|$. The shaded band indicates the total measurement uncertainty. For the sake of brevity, all theory predictions are added to this table. The attached plot shows the MCFM predictions only. The cross-section is compared to the theoretical predictions from FO calculations done with MCFM at LO, NLO and NNLO, predictions obtained with Powheg+Pythia8 with different PDF sets and predictions from different MC event generators and parton shower programs with the NNPDF3.0 PDF set.

Normalised unfolded differential $tq$ cross-section $p_\text{T}(t)$. The shaded band indicates the total measurement uncertainty. For the sake of brevity, all theory predictions are added to this table. The attached plot shows the MCFM predictions only. The cross-section is compared to the theoretical predictions from FO calculations done with MCFM at LO, NLO and NNLO, predictions obtained with Powheg+Pythia8 with different PDF sets and predictions from different MC event generators and parton shower programs with the NNPDF3.0 PDF set.

Normalised unfolded differential $\bar{t}q$ cross-section $p_\text{T}(\bar{t})$. The shaded band indicates the total measurement uncertainty. For the sake of brevity, all theory predictions are added to this table. The attached plot shows the MCFM predictions only. The cross-section is compared to the theoretical predictions from FO calculations done with MCFM at LO, NLO and NNLO, predictions obtained with Powheg+Pythia8 with different PDF sets and predictions from different MC event generators and parton shower programs with the NNPDF3.0 PDF set.

Normalised unfolded differential $tq$ cross-section $|y(t)|$. The shaded band indicates the total measurement uncertainty. For the sake of brevity, all theory predictions are added to this table. The attached plot shows the MCFM predictions only. The cross-section is compared to the theoretical predictions from FO calculations done with MCFM at LO, NLO and NNLO, predictions obtained with Powheg+Pythia8 with different PDF sets and predictions from different MC event generators and parton shower programs with the NNPDF3.0 PDF set.

Normalised unfolded differential $\bar{t}q$ cross-section $|y(\bar{t})|$. The shaded band indicates the total measurement uncertainty. For the sake of brevity, all theory predictions are added to this table. The attached plot shows the MCFM predictions only. The cross-section is compared to the theoretical predictions from FO calculations done with MCFM at LO, NLO and NNLO, predictions obtained with Powheg+Pythia8 with different PDF sets and predictions from different MC event generators and parton shower programs with the NNPDF3.0 PDF set.

Ratio of the absolute differential $tq$ and $\bar{t}q$ production cross-sections measured as a function of $p_\text{T}(t\ \text{or}\ \bar{t})$ The shaded band indicates the total measurement uncertainty. For the sake of brevity, all theory predictions are added to this table. The attached plot shows the MCFM predictions only. The cross-section is compared to the theoretical predictions from FO calculations done with MCFM at LO, NLO and NNLO, predictions obtained with Powheg+Pythia8 with different PDF sets and predictions from different MC event generators and parton shower programs with the NNPDF3.0 PDF set.

Ratio of the absolute differential $tq$ and $\bar{t}q$ production cross-sections measured as a function of $|y(t\ \text{or}\ \bar{t})|$ The shaded band indicates the total measurement uncertainty. For the sake of brevity, all theory predictions are added to this table. The attached plot shows the MCFM predictions only. The cross-section is compared to the theoretical predictions from FO calculations done with MCFM at LO, NLO and NNLO, predictions obtained with Powheg+Pythia8 with different PDF sets and predictions from different MC event generators and parton shower programs with the NNPDF3.0 PDF set.

Selection efficiencies for the $p_\text{T}(t)$ spectrum calculated for single top quark production events generated with different values of $C_{Qq}^{3,1}$.

Selection efficiencies for the $p_\text{T}(\bar{t})$ spectrum calculated for single top antiquark production events generated with different values of $C_{Qq}^{3,1}$.

Migration matrix for the $tq$ production cross-section as a function of $p_\text{T}(t)$. The parton-level top quark is shown on the $y$-axis and the reconstructed top quark is shown on the $x$-axis. In the graphic, the rows are normalised to unity and the shadow bin is not shown. The table lists the event yield per bin.

Migration matrix for the $\bar{t}q$ production cross-section as a function of $p_\text{T}(\bar{t})$. The parton-level top quark is shown on the $y$-axis and the reconstructed top quark is shown on the $x$-axis. In the graphic, the rows are normalised to unity and the shadow bin is not shown. The table lists the event yield per bin.

Migration matrix for the $tq$ production cross-section as a function of $|y(t)|$. The parton-level top quark is shown on the $y$-axis and the reconstructed top quark is shown on the $x$-axis. In the graphic, the rows are normalised to unity. The table lists the event yield per bin.

Migration matrix for the $\bar{t}q$ production cross-section as a function of $|y(\bar{t})|$. The parton-level top quark is shown on the $y$-axis and the reconstructed top quark is shown on the $x$-axis. In the graphic, the rows are normalised to unity. The table lists the event yield per bin.

Expected event yields per process and observed event yields in the two signal regions. The given uncertainties are the rate uncertainties defined as the relative uncertainty on the postfit event yields.

$\chi^2$ probabilities of the predictions for the absolute and normalised differential $tq\ \text{or}\ \bar{t}q$ production cross-sections and the ratio of the cross-sections as a function of $p_\text{T}(t)$, $p_\text{T}(\bar{t})$ and $p_\text{T}(t\ \text{or}\ \bar{t})$ respectively. The uncertainties in the measured cross-sections and in the predictions are considered. The number of degrees of freedom (NDF) is listed for each distribution.

$\chi^2$ probabilities of the predictions for the absolute and normalised differential $tq\ \text{or}\ \bar{t}q$ production cross-sections and the ratio of the cross-sections as a function of $|y(t)|$, $|y(\bar{t})|$ and $|y(t\ \text{or}\ \bar{t})|$ respectively. The uncertainties in the measured cross-sections and in the predictions are considered. The number of degrees of freedom (NDF) is listed for each distribution.

Summary of the uncertainties on the absolute differential $tq$ production cross-sections measured as a function of $p_\text{T}(t)$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the absolute differential $\bar{t}q$ production cross-section as a function of $p_\text{T}(\bar{t})$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the absolute differential $tq$ production cross-sections measured as a function of $|y(t)|$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the absolute differential $\bar{t}q$ production cross-section as a function of $|y(\bar{t})|$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the normalised differential $tq$ production cross-sections measured as a function of $p_\text{T}(t)$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the normalised differential $\bar{t}q$ production cross-section as a function of $p_\text{T}(\bar{t})$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the normalised differential $tq$ production cross-sections measured as a function of $|y(t)|$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the normalised differential $\bar{t}q$ production cross-section as a function of $|y(\bar{t})|$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the ratio of the absolute differential $tq$ and $\bar{t}q$ production cross-sections measured as a function of $p_\text{T}(t\ \text{or}\ \bar{t})$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Summary of the uncertainties on the ratio of the absolute differential $tq$ and $\bar{t}q$ production cross-sections measured as a function of $|y(t\ \text{or}\ \bar{t})|$. Similar sources of uncertainties are grouped together via their quadratic sum. The total uncertainty is defined as the quadratic sum of all sources of uncertainties.

Best fit results for the expected relative change in the differential $tq$ and $\bar{t}q$ cross-sections as a function of $C_{Qq}^{3,1}/\Lambda^2$. The predictions for the expected relative change are obtained by unfolding the distributions of the EFT MC samples with the nominal migration matrix and efficiency. The parameterisations are determined from least-square fits to the predictions normalised to the prediction from the EFT MC sample generated with $C_{Qq}^{3,1}/\Lambda^2$ set to zero. The parameterisations take the form $\Delta\tilde{\sigma}_{t\text{ or }\bar{t}}(C_{Qq}^{3,1}/\Lambda^2) = \left(1 + a_1 \cdot C_{Qq}^{3,1}/\Lambda^2 + a_2 \cdot (C_{Qq}^{3,1}/\Lambda^2)^2\right)$.

Event yields in the $\ell^+$ signal region without the background scale factors applied. Supplementary material for cutflow comparisons, therefore only the $p_\text{T}(\ell\nu b)$ distributions for both SRs are included in the HEPData entry.

Event yields in the $\ell^-$ signal region without the background scale factors applied. Supplementary material for cutflow comparisons, therefore only the $p_\text{T}(\ell\nu b)$ distributions for both SRs are included in the HEPData entry.

Statistical covariance matrix for the absolute $tq$ production cross-section as a function of $p_\text{T}(t)$. The data and MC statistical uncertainties are incorporated.

Statistical covariance matrix for the absolute $\bar{t}q$ production cross-section as a function of $p_\text{T}(\bar{t})$. The data and MC statistical uncertainties are incorporated.

Statistical covariance matrix for the absolute $tq$ production cross-section as a function of $|y(t)|$. The data and MC statistical uncertainties are incorporated.

Statistical covariance matrix for the absolute $\bar{t}q$ production cross-section as a function of $|y(\bar{t})|$. The data and MC statistical uncertainties are incorporated.

Statistical covariance matrix for the normalised $tq$ production cross-section as a function of $p_\text{T}(t)$. The data and MC statistical uncertainties are incorporated.

Statistical covariance matrix for the normalised $\bar{t}q$ production cross-section as a function of $p_\text{T}(\bar{t})$. The data and MC statistical uncertainties are incorporated.

Statistical covariance matrix for the absolute $tq$ production cross-section as a function of $|y(t)|$. The data and MC statistical uncertainties are incorporated.

Statistical covariance matrix for the absolute $\bar{t}q$ production cross-section as a function of $|y(\bar{t})|$. The data and MC statistical uncertainties are incorporated.

Statistical covariance matrix for ratio of the absolute differential $tq$ and $\bar{t}q$ production cross-sections measured as a function of $p_\text{T}(t\ \text{or}\ \bar{t})$. The data and MC statistical uncertainties are incorporated.

Statistical covariance matrix for ratio of the absolute differential $tq$ and $\bar{t}q$ production cross-sections measured as a function of $|y(t\ \text{or}\ \bar{t})|$. The data and MC statistical uncertainties are incorporated.

Statistical correlation between the absolute cross-sections binned in $p_\text{T}(t)$ and $|y(t)|$. The correlation is evaluated from 1000 synchronised pseudo-experiments created by fluctuating the data-distributions according to a Poisson distribution.

Statistical correlation between the absolute cross-sections binned in $p_\text{T}(\bar{t})$ and $|y(\bar{t})|$. The correlation is evaluated from 1000 synchronised pseudo-experiments created by fluctuating the data-distributions according to a Poisson distribution.

Statistical correlation between the normalised cross-sections binned in $p_\text{T}(t)$ and $|y(t)|$. The correlation is evaluated from 1000 synchronised pseudo-experiments created by fluctuating the data-distributions according to a Poisson distribution.

Statistical correlation between the normalised cross-sections binned in $p_\text{T}(\bar{t})$ and $|y(\bar{t})|$. The correlation is evaluated from 1000 synchronised pseudo-experiments created by fluctuating the data-distributions according to a Poisson distribution.

Covariance matrix for the absolute $tq$ production cross-section as a function of $p_\text{T}(t)$. All statistical and systematic uncertainties are incorporated.

Covariance matrix for the absolute $\bar{t}q$ production cross-section as a function of $p_\text{T}(\bar{t})$. All statistical and systematic uncertainties are incorporated.

Covariance matrix for the absolute $tq$ production cross-section as a function of $|y(t)|$. All statistical and systematic uncertainties are incorporated.

Covariance matrix for the absolute $\bar{t}q$ production cross-section as a function of $|y(\bar{t})|$. All statistical and systematic uncertainties are incorporated.

Covariance matrix for the normalised $tq$ production cross-section as a function of $p_\text{T}(t)$. All statistical and systematic uncertainties are incorporated.

Covariance matrix for the normalised $\bar{t}q$ production cross-section as a function of $p_\text{T}(\bar{t})$. All statistical and systematic uncertainties are incorporated.

Covariance matrix for the absolute $tq$ production cross-section as a function of $|y(t)|$. All statistical and systematic uncertainties are incorporated.

Covariance matrix for the absolute $\bar{t}q$ production cross-section as a function of $|y(\bar{t})|$. All statistical and systematic uncertainties are incorporated.

Covariance matrix for ratio of the absolute differential $tq$ and $\bar{t}q$ production cross-sections measured as a function of $p_\text{T}(t\ \text{or}\ \bar{t})$. All statistical and systematic uncertainties are incorporated.

Covariance matrix for ratio of the absolute differential $tq$ and $\bar{t}q$ production cross-sections measured as a function of $|y(t\ \text{or}\ \bar{t})|$. All statistical and systematic uncertainties are incorporated.

Central values and statistical uncertainties of the systematic uncertainty on the absolute $tq$ production cross-section as a function of $p_\text{T}(t)$. The statistical uncertainty is evaluated for JES, JER and modeling related uncertainties. Both the central values for the up and down variation and the respective statistical uncertainties are evaluated from bootstrap experiments. The left (right) column per $p_\text{T}(t)$ interval shows the up (down) variation. The central value and variations are given in percent of the measurement result in the respective bin.

Central values and statistical uncertainties of the systematic uncertainty on the absolute $\bar{t}q$ production cross-section as a function of $p_\text{T}(\bar{t})$. The statistical uncertainty is evaluated for JES, JER and modeling related uncertainties. Both the central values for the up and down variation and the respective statistical uncertainties are evaluated from bootstrap experiments. The left (right) column per $p_\text{T}(\bar{t})$ interval shows the up (down) variation. The central value and variations are given in percent of the measurement result in the respective bin.

Central values and statistical uncertainties of the systematic uncertainty on the absolute $tq$ production cross-section as a function of $|y(t)|$. The statistical uncertainty is evaluated for JES, JER and modeling related uncertainties. Both the central values for the up and down variation and the respective statistical uncertainties are evaluated from bootstrap experiments. The left (right) column per $|y(t)|$ interval shows the up (down) variation. The central value and variations are given in percent of the measurement result in the respective bin.

Central values and statistical uncertainties of the systematic uncertainty on the absolute $\bar{t}q$ production cross-section as a function of $|y(\bar{t})|$. The statistical uncertainty is evaluated for JES, JER and modeling related uncertainties. Both the central values for the up and down variation and the respective statistical uncertainties are evaluated from bootstrap experiments. The left (right) column per $|y(\bar{t})|$ interval shows the up (down) variation. The central value and variations are given in percent of the measurement result in the respective bin.

Central values and statistical uncertainties of the systematic uncertainty on the normalised $tq$ production cross-section as a function of $p_\text{T}(t)$. The statistical uncertainty is evaluated for JES, JER and modeling related uncertainties. Both the central values for the up and down variation and the respective statistical uncertainties are evaluated from bootstrap experiments. The left (right) column per $p_\text{T}(t)$ interval shows the up (down) variation. The central value and variations are given in percent of the measurement result in the respective bin.

Central values and statistical uncertainties of the systematic uncertainty on the normalised $\bar{t}q$ production cross-section as a function of $p_\text{T}(\bar{t})$. The statistical uncertainty is evaluated for JES, JER and modeling related uncertainties. Both the central values for the up and down variation and the respective statistical uncertainties are evaluated from bootstrap experiments. The left (right) column per $p_\text{T}(\bar{t})$ interval shows the up (down) variation. The central value and variations are given in percent of the measurement result in the respective bin.

Central values and statistical uncertainties of the systematic uncertainty on the normalised $tq$ production cross-section as a function of $|y(t)|$. The statistical uncertainty is evaluated for JES, JER and modeling related uncertainties. Both the central values for the up and down variation and the respective statistical uncertainties are evaluated from bootstrap experiments. The left (right) column per $|y(t)|$ interval shows the up (down) variation. The central value and variations are given in percent of the measurement result in the respective bin.

Central values and statistical uncertainties of the systematic uncertainty on the normalised $\bar{t}q$ production cross-section as a function of $|y(\bar{t})|$. The statistical uncertainty is evaluated for JES, JER and modeling related uncertainties. Both the central values for the up and down variation and the respective statistical uncertainties are evaluated from bootstrap experiments. The left (right) column per $|y(\bar{t})|$ interval shows the up (down) variation. The central value and variations are given in percent of the measurement result in the respective bin.

The invariant mass distribution of $B^+$ candidates is shown for $14 < p_{T} < 15$ GeV along with the corresponding fit.

The invariant mass distribution of $B^0$ candidates is shown for $15 < p_{T} < 16$ GeV along with the corresponding fit.

The invariant mass distribution of $B^0_{s}$ candidates is shown for $16 < p_{T} < 18$ GeV along with the corresponding fit.

The invariant mass distribution of $B^+$ candidates is shown for $13 < p_{T} < 18$ GeV along with the corresponding fit.

The invariant mass distribution of $B^0$ candidates is shown for $18 < p_{T} < 23$ GeV along with the corresponding fit.

The invariant mass distribution of $B^0_{s}$ candidates is shown for $23 < p_{T} < 28$ GeV along with the corresponding fit.

Measured $f_s/f_d$ as a function of $p_T$ using open-charm channels. Uncertainties include statistical and uncorrelated systematic components.

Measured $f_s/f_d$ as a function of $|y|$ using open-charm channels. Uncertainties include statistical and uncorrelated systematic components.

Measured $f_s/f_u$ as a function of $p_T$ using open-charm channels. Uncertainties include statistical and uncorrelated systematic components.

Measured $f_s/f_u$ as a function of $|y|$ using open-charm channels. Uncertainties include statistical and uncorrelated systematic components.

Measured $\mathcal{R}_{s}$ as a function of $p_{T}$ using charmonium channels, performed on the tag-side. The error bars include both statistical and bin-to-bin uncorrelated systematic uncertainties.

Measured $\mathcal{R}_{s}$ as a function of $p_{T}$ using charmonium channels, performed on the probe-side. The error bars include both statistical and bin-to-bin uncorrelated systematic uncertainties.

Measured $\mathcal{R}_{s}$ as a function of $|y|$ using charmonium channels, performed on the tag-side. The error bars include both statistical and bin-to-bin uncorrelated systematic uncertainties.

Measured $\mathcal{R}_{s}$ as a function of $|y|$ using charmonium channels, performed on the probe-side. The error bars include both statistical and bin-to-bin uncorrelated systematic uncertainties.

Measured $\mathcal{R}_{s}^{d}$ as a function of $p_{T}$ using charmonium channels, performed on the tag-side. The error bars include both statistical and bin-to-bin uncorrelated systematic uncertainties.

Measured $\mathcal{R}_{s}^{d}$ as a function of $|y|$ using charmonium channels, performed on the tag-side. The error bars include both statistical and bin-to-bin uncorrelated systematic uncertainties.

Measured $\mathcal{R}_{s}^{d}$ as a function of $|y|$ using charmonium channels, performed on the tag-side. The error bars include both statistical and bin-to-bin uncorrelated systematic uncertainties.

Measured $\mathcal{R}_{s}^{d}$ as a function of $p_{T}$ using charmonium channels, performed on the probe-side. The error bars include both statistical and bin-to-bin uncorrelated systematic uncertainties.

Measured $f_{d}/f_{u}$ as a function of $p_{T}$ using open-charm channels. The error bars include statistical and bin-to-bin uncorrelated systematic uncertainties. The global uncertainty on $f_{d}/f_{u}$ is 5.7$\%$ for the open-charm channel.

Measured $f_{d}/f_{u}$ as a function of $p_{T}$ using charmonium channels, performed on the tag-side. The error bars include statistical and bin-to-bin uncorrelated systematic uncertainties. The global uncertainty on $f_{d}/f_{u}$ is 4.8$\%$ for the charmonium channels for both the tag and probe sides.

Measured $f_{d}/f_{u}$ as a function of $p_{T}$ using charmonium channels, performed on the probe-side. The error bars include statistical and bin-to-bin uncorrelated systematic uncertainties. The global uncertainty on $f_{d}/f_{u}$ is 4.8$\%$ for the charmonium channels for both the tag and probe sides.

Measured $f_{d}/f_{u}$ as a function of $|y|$ using open-charm channels. The error bars include statistical and bin-to-bin uncorrelated systematic uncertainties. The global uncertainty on $f_{d}/f_{u}$ is 5.7$\%$ for the open-charm channel.

Measured $f_{d}/f_{u}$ as a function of $|y|$ using charmonium channels, performed on the tag-side. The error bars include statistical and bin-to-bin uncorrelated systematic uncertainties. The global uncertainty on $f_{d}/f_{u}$ is 4.8$\%$ for the charmonium channels for both the tag and probe sides.

Measured $f_{d}/f_{u}$ as a function of $|y|$ using charmonium channels, performed on the probe-side. The error bars include statistical and bin-to-bin uncorrelated systematic uncertainties.The global uncertainty on $f_{d}/f_{u}$ is 4.8$\%$ for the charmonium channels for both the tag and probe sides.

Measured $f_s/f_d$ as a function of $p_T$ using open-charm channels. Uncertainties include statistical and uncorrelated systematic components. The global uncertainties amount to 6.3$\%$ on $f_s/f_d$ for the open-charm channel

The $\mathcal{R}_{s}^{d}$ values from tag-side charmonium channels are converted to $f_s/f_d$ using the absolute normalization $c_{sd} = 1.64$. Uncertainties include statistical and uncorrelated systematic components. The global uncertainties amount to 8.4$\%$ on $f_s/f_d$ for both the charmonium channel.

Measured $f_s/f_u$ as a function of $p_T$ using open-charm channels. Uncertainties include statistical and uncorrelated systematic components. The global uncertainties amount to 7.4$\%$ on $f_s/f_d$ for the open-charm channel

The $\mathcal{R}_{s}$ values from tag-side charmonium channels are converted to $f_s/f_u$ using the absolute normalization $c_{su} = 2.02$. Uncertainties include statistical and uncorrelated systematic components. The global uncertainties amount to 8.7$\%$ on $f_s/f_d$ for both the charmonium channel.

The $\mathcal{R}_{s}$ values from the previous CMS measurement (PRL 131 (2023) 121901) are converted to $f_s/f_u$ using the absolute normalization $c_{su} = 2.02$. Uncertainties include statistical and uncorrelated systematic components. The global uncertainties amount to 8.7$\%$ on $f_s/f_d$ for both the previous CMS result.

Observed and predicted $p_{T}^{e\mu}$ distributions for events with 1<=$N_{tracks}$<=5 (CR), using 2016--2018 data. The distributions are shown after the maximum likelihood fit to the data ('postfit distributions'). The observed data and their associated Poissonian statistical uncertainty are shown with black markers with vertical error bars. The uncertainty band accouts for all sources of background and signal uncertainty, systematic as well as statistical, after the fit. The last bin includes the overflow. The lower panels show the ratio of data to sum of signal and background contributions, before (prefit, open red circles) and after (black full markers) the maximum likelihood fit.

Distribution of $p_{T}^{e\mu}$ for the difference between the observed number of events and the expected number of background events (black markers) compared with the SM prefit $\gamma\gamma\to W^+W^-$ prediction (red line), and $\gamma\gamma\to W^+W^-$ predictions for five benchmark points with nonzero EFT coefficients. The Poissonian statistical uncertainties associated with the observed data are represented by vertical error bars. The difference between the predictions for the SM and nonzero EFT coefficients is visible only in the overflow bin. The background uncertainty is shown with a gray band.

Summary of observed limits on the CP-pdd and CP-even $f_\textrm{M}$ and $f_\textrm{T}$ Wilson coefficients for this analysis and previous results by the CMS Collaboration. The limits are arranged from most sensitive to least sensitive in descending order, with the current result highlighted in red. In some cases, limits on the Wilson coefficients are shown under the assumption of unitarity bounds, as indicated in the right-most column.

Observed $p_{T}^{e\mu}$ distributions for events without cut on acoplanarity, and without $N_{tracks}$ cut, using the data from the full Run 2 data set. The distributions are shown before the maximum likelihood fit to the data. The last bin includes the overflow. Only statistical uncertainty is shown.

Observed $p_{T}^{e\mu}$ distributions for events with 1<=$N_{tracks}$<=5, using the data from the full Run 2 data set. The distributions are shown before the maximum likelihood fit to the data. The last bin includes the overflow. Only statistical uncertainty is shown.

Observed (black markers) and expected distributions of number of jets after event selection. The hatched (grey) areas denote the systematic (total) uncertainties in the expected yields. Events from all data-taking periods and all channels are combined. The lower panel of each plot shows the ratio between observed and expected distributions. The last bin includes all events above the plotted range. The entry Background corresponds to the sum of all the SM predictions.

Observed (black markers) and expected distributions of number of b tagged jets after event selection. The hatched (grey) areas denote the systematic (total) uncertainties in the expected yields. Events from all data-taking periods and all channels are combined. The lower panel of each plot shows the ratio between observed and expected distributions. The last bin includes all events above the plotted range. The entry Background corresponds to the sum of all the SM predictions.

Difference between $p_{\mathrm{T,gen.}}^\text{miss}$ and $p_{\mathrm{T,rec.}}^\text{miss}$ as a function of the $p_{\mathrm{T,gen.}}^\text{miss}$ for signal events. The mean difference between the generated and the $p_{\mathrm{T,rec.}}^\text{miss}$ per bin is shown as solid line. The results for $p_{\mathrm{T}}^\text{miss}$ corrected by the DNN regression (light blue), derived with the PUPPI algorithm (red), and the PF algorithm (orange) are shown. A simulated sample for the 2018 data-taking period is used.

Difference between $p_{\mathrm{T,gen.}}^\text{miss}$ and $p_{\mathrm{T,rec.}}^\text{miss}$ as a function of the $p_{\mathrm{T,gen.}}^\text{miss}$ for signal events. The dashed line shows the standard deviation $\sigma$, which corresponds to the resolution of the $p_{\mathrm{T,gen.}}^\text{miss}$ and $p_{\mathrm{T,rec.}}^\text{miss}$ difference. The results for $p_{\mathrm{T}}^\text{miss}$ corrected by the DNN regression (light blue), derived with the PUPPI algorithm (red), and the PF algorithm (orange) are shown. A simulated sample for the 2018 data-taking period is used.

Difference between $p_{\mathrm{T,gen.}}^\text{miss}$ and $p_{\mathrm{T,rec.}}^\text{miss}$ as a function of the number of primary vertices for signal events. The mean difference between the generated and the $p_{\mathrm{T,rec.}}^\text{miss}$ per bin is shown as solid line. The results for $p_{\mathrm{T}}^\text{miss}$ corrected by the DNN regression (light blue), derived with the PUPPI algorithm (red), and the PF algorithm (orange) are shown. A simulated sample for the 2018 data-taking period is used.

Difference between $p_{\mathrm{T,gen.}}^\text{miss}$ and $p_{\mathrm{T,rec.}}^\text{miss}$ as a function of the $p_{\mathrm{T,gen.}}^\text{miss}$ for signal events. The dashed line shows the standard deviation $\sigma$, which corresponds to the resolution of the $p_{\mathrm{T,gen.}}^\text{miss}$ and $p_{\mathrm{T,rec.}}^\text{miss}$ difference. The results for $p_{\mathrm{T}}^\text{miss}$ corrected by the DNN regression (light blue), derived with the PUPPI algorithm (red), and the PF algorithm (orange) are shown. A simulated sample for the 2018 data-taking period is used.

Results of the $\chi^{2}$ tests for the absolute and normalized differential cross section measurements for each of the predictions. The $\chi^{2}$ values including uncertainties on the predictions are given in parentheses in the table in the paper and in a separate column here.

The p-value of the $\chi^{2}$ tests for the absolute and normalized cross section measurements for each of the predictions. The resulting p-values including uncertainties on the predictions are given in parentheses in the table in the paper and in a separate column here.

Breakdown of the relative contribution from experimental uncertainties in the differential cross section measurement as a function of $p_{\text{T}}^{\nu\nu}$. The statistical uncertainty (dark grey) takes the size of the available simulated samples and the recorded data into account. The last bin includes all events above the plotted range.

Breakdown of the relative contribution from theory uncertainties in the differential cross section measurement as a function of $p_{\text{T}}^{\nu\nu}$. The statistical uncertainty (dark grey) takes the size of the available simulated samples and the recorded data into account. The last bin includes all events above the plotted range.

Breakdown of the relative contribution from experimental uncertainties in the differential cross section measurement as a function of $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$. The statistical uncertainty (dark grey) takes the size of the available simulated samples and the recorded data into account. The last bin includes all events above the plotted range.

Breakdown of the relative contribution from theory uncertainties in the differential cross section measurement as a function of $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$. The statistical uncertainty (dark grey) takes the size of the available simulated samples and the recorded data into account. The last bin includes all events above the plotted range.

Breakdown of the relative contribution from experimental uncertainties in the differential cross section measurement as a function of $p_{\text{T}}^{\nu\nu}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 0<$\phi$<0.56. Each group of four bins corresponds to $p_{\text{T}}^{\nu\nu}$ bins, and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ bin edges are indicated by vertical solid lines. The statistical uncertainty (dark grey) takes the size of the available simulated samples and the recorded data into account. The last bin includes all events above the plotted range.

Breakdown of the relative contribution from experimental uncertainties in the differential cross section measurement as a function of $p_{\text{T}}^{\nu\nu}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 0.56<$\phi$<1.08. Each group of four bins corresponds to $p_{\text{T}}^{\nu\nu}$ bins, and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ bin edges are indicated by vertical solid lines. The statistical uncertainty (dark grey) takes the size of the available simulated samples and the recorded data into account. The last bin includes all events above the plotted range.

Breakdown of the relative contribution from experimental uncertainties in the differential cross section measurement as a function of $p_{\text{T}}^{\nu\nu}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 1.08<$\phi$<3.14. Each group of four bins corresponds to $p_{\text{T}}^{\nu\nu}$ bins, and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ bin edges are indicated by vertical solid lines. The statistical uncertainty (dark grey) takes the size of the available simulated samples and the recorded data into account. The last bin includes all events above the plotted range.

Breakdown of the relative contribution from theory uncertainties in the differential cross section measurement as a function of $p_{\text{T}}^{\nu\nu}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 0<$\phi$<0.56. Each group of four bins corresponds to $p_{\text{T}}^{\nu\nu}$ bins, and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ bin edges are indicated by vertical solid lines. The statistical uncertainty (dark grey) takes the size of the available simulated samples and the recorded data into account. The last bin includes all events above the plotted range.

Breakdown of the relative contribution from theory uncertainties in the differential cross section measurement as a function of $p_{\text{T}}^{\nu\nu}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 0.56<$\phi$<1.08. Each group of four bins corresponds to $p_{\text{T}}^{\nu\nu}$ bins, and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ bin edges are indicated by vertical solid lines. The statistical uncertainty (dark grey) takes the size of the available simulated samples and the recorded data into account. The last bin includes all events above the plotted range.

Breakdown of the relative contribution from theory uncertainties in the differential cross section measurement as a function of $p_{\text{T}}^{\nu\nu}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 1.08<$\phi$<3.14. Each group of four bins corresponds to $p_{\text{T}}^{\nu\nu}$ bins, and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ bin edges are indicated by vertical solid lines. The statistical uncertainty (dark grey) takes the size of the available simulated samples and the recorded data into account. The last bin includes all events above the plotted range.

The observed (black markers) and simulated distributions of $p_{\mathrm{T,DNN}}^\text{miss}$ is shown. Events from all data-taking periods and all channels are combined. The hatched (grey) areas indicate the systematic (total) uncertainty in the simulation. The lower panel of each plot shows the ratio of observed data to the expectation from MC simulation in each bin. The last bin includes all events above the plotted range.

The observed (black markers) and simulated distributions of $\text{min}[\Delta\phi(\vec{p}_{\text{T, DNN}}^{\text{miss}},\vec{p}_{\text{T}}^{\ell})]$ is shown. Events from all data-taking periods and all channels are combined. The hatched (grey) areas indicate the systematic (total) uncertainty in the simulation. The lower panel of each plot shows the ratio of observed data to the expectation from MC simulation in each bin. The last bin includes all events above the plotted range.

The observed (black markers) and simulated two-dimensional distribution of $p_{\mathrm{T,DNN}}^\text{miss}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T, DNN}}^{\text{miss}},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 0<$\phi$<0.28 is shown. Events from all data-taking periods and all channels are combined. The hatched (grey) areas indicate the systematic (total) uncertainty in the simulation. The lower panel of each plot shows the ratio of observed data to the expectation from MC simulation in each bin. The last bin includes all events above the plotted range.

The observed (black markers) and simulated two-dimensional distribution of $p_{\mathrm{T,DNN}}^\text{miss}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T, DNN}}^{\text{miss}},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 0.28<$\phi$<0.56 is shown. Events from all data-taking periods and all channels are combined. The hatched (grey) areas indicate the systematic (total) uncertainty in the simulation. The lower panel of each plot shows the ratio of observed data to the expectation from MC simulation in each bin. The last bin includes all events above the plotted range.

The observed (black markers) and simulated two-dimensional distribution of $p_{\mathrm{T,DNN}}^\text{miss}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T, DNN}}^{\text{miss}},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 0.56<$\phi$<0.82 is shown. Events from all data-taking periods and all channels are combined. The hatched (grey) areas indicate the systematic (total) uncertainty in the simulation. The lower panel of each plot shows the ratio of observed data to the expectation from MC simulation in each bin. The last bin includes all events above the plotted range.

The observed (black markers) and simulated two-dimensional distribution of $p_{\mathrm{T,DNN}}^\text{miss}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T, DNN}}^{\text{miss}},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 0.82<$\phi$<1.08 is shown. Events from all data-taking periods and all channels are combined. The hatched (grey) areas indicate the systematic (total) uncertainty in the simulation. The lower panel of each plot shows the ratio of observed data to the expectation from MC simulation in each bin. The last bin includes all events above the plotted range.

The observed (black markers) and simulated two-dimensional distribution of $p_{\mathrm{T,DNN}}^\text{miss}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T, DNN}}^{\text{miss}},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 1.08<$\phi$<2.14 is shown. Events from all data-taking periods and all channels are combined. The hatched (grey) areas indicate the systematic (total) uncertainty in the simulation. The lower panel of each plot shows the ratio of observed data to the expectation from MC simulation in each bin. The last bin includes all events above the plotted range.

The observed (black markers) and simulated two-dimensional distribution of $p_{\mathrm{T,DNN}}^\text{miss}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T, DNN}}^{\text{miss}},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 2.14<$\phi$<3.2 is shown. Events from all data-taking periods and all channels are combined. The hatched (grey) areas indicate the systematic (total) uncertainty in the simulation. The lower panel of each plot shows the ratio of observed data to the expectation from MC simulation in each bin. The last bin includes all events above the plotted range.

Result of the closure test based on simulation accounting for potential BSM contributions based on a top squark pair production scenario with a stop mass of 525 GeV and a neutralino mass of 350 GeV. The potential BSM contribution is scaled by a factor of ten. The test is performed for the $p_{\text{T}}^{\nu\nu}$ using the nominal (black), the regularized (orange), and the bin-by-bin unfolding (purple), based on all data-taking periods combined. The unfolded distributions are compared to the expected distribution (red) based on the sum of the nominal dileptonic $t\bar{t}$ signal sample and BSM signal with the corresponding $\chi^2/\text{ndf}$ values given in the legend in square brackets. The distribution used for the response matrix, is shown in blue. The error bars correspond to the statistical uncertainty. The lower part shows the ratios between the unfolded and the expected distributions.

Result of the closure test based on simulation. The potential BSM contribution is scaled by a factor of ten. The test is performed for the 2D measurement of $p_{\text{T}}^{\nu\nu}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ in the azimuthal angle range 0<$\phi$<0.56 using the nominal (black), the regularized (orange), and the bin-by-bin unfolding (purple), based on all data-taking periods combined. The unfolded distributions are compared to the expected distribution (red) based on the sum of the nominal dileptonic $t\bar{t}$ signal sample and BSM signal with the corresponding $\chi^2/\text{ndf}$ values given in the legend. The nominal distribution, used for the response matrix, is shown in blue. The error bars correspond to the statistical uncertainty. The lower part shows the ratios between the unfolded and the expected distributions.

Result of the closure test based on simulation. The potential BSM contribution is scaled by a factor of ten. The test is performed for the 2D measurement of $p_{\text{T}}^{\nu\nu}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ in the azimuthal angle range 0.56<$\phi$<1.08 using the nominal (black), the regularized (orange), and the bin-by-bin unfolding (purple), based on all data-taking periods combined. The unfolded distributions are compared to the expected distribution (red) based on the sum of the nominal dileptonic $t\bar{t}$ signal sample and BSM signal with the corresponding $\chi^2/\text{ndf}$ values given in the legend. The nominal distribution, used for the response matrix, is shown in blue. The error bars correspond to the statistical uncertainty. The lower part shows the ratios between the unfolded and the expected distributions.

Result of the closure test based on simulation. The potential BSM contribution is scaled by a factor of ten. The test is performed for the 2D measurement of $p_{\text{T}}^{\nu\nu}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ in the azimuthal angle range 1.08<$\phi$<3.14 using the nominal (black), the regularized (orange), and the bin-by-bin unfolding (purple), based on all data-taking periods combined. The unfolded distributions are compared to the expected distribution (red) based on the sum of the nominal dileptonic $t\bar{t}$ signal sample and BSM signal with the corresponding $\chi^2/\text{ndf}$ values given in the legend. The nominal distribution, used for the response matrix, is shown in blue. The error bars correspond to the statistical uncertainty. The lower part shows the ratios between the unfolded and the expected distributions.

The measured differential signal cross section (black markers) as a function of $p_{\text{T}}^{\nu\nu}$ is shown. The theoretical predictions from POWHEG+PYTHIA (dark red), POWHEG+HERWIG (orange), MC@NLO+PYTHIA (purple), and the fixed-order NLO (light blue) and NNLO (brown) calculations are compared to the measurement. The total (statistical) uncertainty in the measurement is shown as an orange (dark grey) band. The lower panel of each plot shows the ratio between theoretical predictions and the measurement.

The measured differential signal cross section (black markers) as a function of $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ is shown. The theoretical predictions from POWHEG+PYTHIA (dark red), POWHEG+HERWIG (orange), MC@NLO+PYTHIA (purple), and the fixed-order NLO (light blue) and NNLO (brown) calculations are compared to the measurement. The total (statistical) uncertainty in the measurement is shown as an orange (dark grey) band. The lower panel of each plot shows the ratio between theoretical predictions and the measurement.

The measured two-dimensional differential signal cross section (black markers) as a function of $p_{\text{T}}^{\nu\nu}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 0<$\phi$<0.56 is shown. The theoretical predictions from POWHEG+PYTHIA (dark red), POWHEG+HERWIG (orange), MC@NLO+PYTHIA (purple), and the fixed-order NLO (light blue) and NNLO (brown) calculations are compared to the measurement. The total (statistical) uncertainty in the measurement is shown as an orange (dark grey) band. The lower panel of each plot shows the ratio between theoretical predictions and the measurement.

The measured two-dimensional differential signal cross section (black markers) as a function of $p_{\text{T}}^{\nu\nu}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 0.56<$\phi$<1.08 is shown. The theoretical predictions from POWHEG+PYTHIA (dark red), POWHEG+HERWIG (orange), MC@NLO+PYTHIA (purple), and the fixed-order NLO (light blue) and NNLO (brown) calculations are compared to the measurement. The total (statistical) uncertainty in the measurement is shown as an orange (dark grey) band. The lower panel of each plot shows the ratio between theoretical predictions and the measurement.

The measured two-dimensional differential signal cross section (black markers) as a function of $p_{\text{T}}^{\nu\nu}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 1.08<$\phi$<3.14 is shown. The theoretical predictions from POWHEG+PYTHIA (dark red), POWHEG+HERWIG (orange), MC@NLO+PYTHIA (purple), and the fixed-order NLO (light blue) and NNLO (brown) calculations are compared to the measurement. The total (statistical) uncertainty in the measurement is shown as an orange (dark grey) band. The lower panel of each plot shows the ratio between theoretical predictions and the measurement.

The normalized measured differential signal cross section (black markers) as a function of $p_{\text{T}}^{\nu\nu}$ is shown. The theoretical predictions from POWHEG+PYTHIA (dark red), POWHEG+HERWIG (orange), MC@NLO+PYTHIA (purple), and the fixed-order NLO (light blue) and NNLO (brown) calculations are compared to the measurement. The total (statistical) uncertainty in the measurement is shown as an orange (dark grey) band. The lower panel of each plot shows the ratio between theoretical predictions and the measurement.

The normalized measured differential signal cross section (black markers) as a function of $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ is shown. The theoretical predictions from POWHEG+PYTHIA (dark red), POWHEG+HERWIG (orange), MC@NLO+PYTHIA (purple), and the fixed-order NLO (light blue) and NNLO (brown) calculations are compared to the measurement. The total (statistical) uncertainty in the measurement is shown as an orange (dark grey) band. The lower panel of each plot shows the ratio between theoretical predictions and the measurement.

The normalized measured two-dimensional differential signal cross section (black markers) as a function of $p_{\text{T}}^{\nu\nu}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 0<$\phi$<0.56 is shown. The theoretical predictions from POWHEG+PYTHIA (dark red), POWHEG+HERWIG (orange), MC@NLO+PYTHIA (purple), and the fixed-order NLO (light blue) and NNLO (brown) calculations are compared to the measurement. The total (statistical) uncertainty in the measurement is shown as an orange (dark grey) band. The lower panel of each plot shows the ratio between theoretical predictions and the measurement.

The normalized measured two-dimensional differential signal cross section (black markers) as a function of $p_{\text{T}}^{\nu\nu}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 0.56<$\phi$<1.08 is shown. The theoretical predictions from POWHEG+PYTHIA (dark red), POWHEG+HERWIG (orange), MC@NLO+PYTHIA (purple), and the fixed-order NLO (light blue) and NNLO (brown) calculations are compared to the measurement. The total (statistical) uncertainty in the measurement is shown as an orange (dark grey) band. The lower panel of each plot shows the ratio between theoretical predictions and the measurement.

The normalized measured two-dimensional differential signal cross section (black markers) as a function of $p_{\text{T}}^{\nu\nu}$ and $\text{min}[\Delta\phi(\vec{p}_{\text{T}}^{\nu\nu},\vec{p}_{\text{T}}^{\ell})]$ for the azimuthal angle range 1.08<$\phi$<3.14 is shown. The theoretical predictions from POWHEG+PYTHIA (dark red), POWHEG+HERWIG (orange), MC@NLO+PYTHIA (purple), and the fixed-order NLO (light blue) and NNLO (brown) calculations are compared to the measurement. The total (statistical) uncertainty in the measurement is shown as an orange (dark grey) band. The lower panel of each plot shows the ratio between theoretical predictions and the measurement.

Transverse momentum spectrum of charged hadrons measured at midrapidity ($|y|<0.5$) in INEL>0 pp collisions at $\sqrt{s}$ = 13 TeV for different flattenicity event classes selected with the V0M estimator at forward rapidity (top figure, upper panel)

Transverse momentum spectrum of $\pi^{+} + \pi^{-}$ measured at midrapidity ($|y|<0.5$) in INEL>0 pp collisions at $\sqrt{s}$ = 13 TeV for different flattenicity event classes and HM events (0--1% V0M) in the same flattenicity event classes (bottom figure, upper panel)

Transverse momentum spectrum of $K^{+} + K^{-}$ measured at midrapidity ($|y|<0.5$) in INEL>0 pp collisions at $\sqrt{s}$ = 13 TeV for different flattenicity event classes and HM events (0--1% V0M) in the same flattenicity event classes (bottom figure, upper panel)

Transverse momentum spectrum of $p + \overline{p}$ measured at midrapidity ($|y|<0.5$) in INEL>0 pp collisions at $\sqrt{s}$ = 13 TeV for different flattenicity event classes and HM events (0--1% V0M) in the same flattenicity event classes (bottom figure, upper panel)

Transverse momentum spectrum of charged hadrons measured at midrapidity ($|y|<0.5$) in INEL>0 pp collisions at $\sqrt{s}$ = 13 TeV for different flattenicity event classes and HM events (0--1% V0M) in the same flattenicity event classes (bottom figure, upper panel)

The $p_{\rm T}$-differential $(K^{+} + K^{-})/(\pi^{+}+\pi^{-})$ particle ratio for two extremes of flattenicity event classes measured in multiplicity-integrated events in pp collisions at $\sqrt{s}$ = 13 TeV

The $p_{\rm T}$-differential $(p + \overline{p})$/($\pi^{+}+\pi^{-}$) particle ratio for two extremes of flattenicity event classes measured in multiplicity-integrated events in pp collisions at $\sqrt{s}$ = 13 TeV

The $p_{\rm T}$-differential $(K^{+} + K^{-})/(\pi^{+}+\pi^{-})$ particle ratio for two extremes of flattenicity event classes measured in the 0-1% V0M event class in pp collisions at $\sqrt{s}$ = 13 TeV

The $p_{\rm T}$-differential $(p + \overline{p})$/($\pi^{+}+\pi^{-}$) particle ratio for two extremes of flattenicity event classes measured in the 0-1% V0M event class in pp collisions at $\sqrt{s}$ = 13 TeV

Transverse momentum-integrated $(K^{+} + K^{-})/(\pi^{+}+\pi^{-})$ particle ratio as a function of the average charged-particle density calculated for different flattenicity event classes in pp collisions at $\sqrt{s}$ = 13 TeV

Transverse momentum-integrated $(p + \overline{p})$/($\pi^{+}+\pi^{-}$) particle ratio as a function of the average charged-particle density calculated for different flattenicity event classes in pp collisions at $\sqrt{s}$ = 13 TeV

Average transverse momentum of $\pi^{+}+\pi^{-}$ as a function of the average charged-particle density calculated for different flattenicity event classes in pp collisions at $\sqrt{s}$ = 13 TeV

Average transverse momentum of $K^{+} + K^{-}$ as a function of the average charged-particle density calculated for different flattenicity event classes in pp collisions at $\sqrt{s}$ = 13 TeV

Average transverse momentum of $p + \overline{p}$ as a function of the average charged-particle density calculated for different flattenicity event classes in pp collisions at $\sqrt{s}$ = 13 TeV

Transverse momentum spectra of antideuterons measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as shown in Fig. 1 (right panel). Rapidity interval 0.3 to 0.4.

Transverse momentum spectra of antideuterons measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as shown in Fig. 1 (right panel). Rapidity interval 0.4 to 0.5.

Transverse momentum spectra of antideuterons measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as shown in Fig. 1 (right panel). Rapidity interval 0.5 to 0.6.

Transverse momentum spectra of antideuterons measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as shown in Fig. 1 (right panel). Rapidity interval 0.6 to 0.7.

Transverse momentum spectra of antiprotons measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as shown in Fig. 1 (left panel). Rapidity interval 0 to 0.1.

Transverse momentum spectra of antiprotons measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as shown in Fig. 1 (left panel). Rapidity interval 0.1 to 0.2.

Transverse momentum spectra of antiprotons measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as shown in Fig. 1 (left panel). Rapidity interval 0.2 to 0.3.

Transverse momentum spectra of antiprotons measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as shown in Fig. 1 (left panel). Rapidity interval 0.3 to 0.4.

Transverse momentum spectra of antiprotons measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as shown in Fig. 1 (left panel). Rapidity interval 0.4 to 0.5.

Transverse momentum spectra of antiprotons measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as shown in Fig. 1 (left panel). Rapidity interval 0.5 to 0.6.

Transverse momentum spectra of antiprotons measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as shown in Fig. 1 (left panel). Rapidity interval 0.6 to 0.7.

Integrated yields of antideuterons measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as a function of absolute value of rapidity. The figure is shown in Fig. 2 (right panel).

Integrated yields of antiprotons measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as a function of absolute value of rapidity. The figure is shown in Fig. 2 (left panel).

coalescence parameter B2 measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as a function of transverse momentum per nucleon. The figure is shown in Fig. 3, rapidity interval 0.0 to 0.1, in absolute value.

coalescence parameter B2 measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as a function of transverse momentum per nucleon. The figure is shown in Fig. 3, rapidity interval 0.1 to 0.2, in absolute value.

coalescence parameter B2 measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as a function of transverse momentum per nucleon. The figure is shown in Fig. 3, rapidity interval 0.2 to 0.3, in absolute value.

coalescence parameter B2 measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as a function of transverse momentum per nucleon. The figure is shown in Fig. 3, rapidity interval 0.3 to 0.4, in absolute value.

coalescence parameter B2 measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as a function of transverse momentum per nucleon. The figure is shown in Fig. 3, rapidity interval 0.4 to 0.5, in absolute value.

coalescence parameter B2 measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as a function of transverse momentum per nucleon. The figure is shown in Fig. 3, rapidity interval 0.5 to 0.6, in absolute value.

coalescence parameter B2 measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as a function of transverse momentum per nucleon. The figure is shown in Fig. 3, rapidity interval 0.6 to 0.7, in absolute value.

coalescence parameter B2 measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as a function of rapidity, for fixed intervals of transverse momentum per nucleon. The data is shown in Fig. 4, in the PT per nucleon interval from 0.9 to 1.0.

coalescence parameter B2 measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as a function of rapidity, for fixed intervals of transverse momentum per nucleon. The data is shown in Fig. 4, in the PT per nucleon interval from 1.0 to 1.1.

coalescence parameter B2 measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as a function of rapidity, for fixed intervals of transverse momentum per nucleon. The data is shown in Fig. 4, in the PT per nucleon interval from 1.1 to 1.3.

coalescence parameter B2 measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as a function of rapidity, for fixed intervals of transverse momentum per nucleon. The data is shown in Fig. 4, in the PT per nucleon interval from 1.3 to 1.5.

coalescence parameter B2 measured in pp collisions at centre-of-mass per nucleon-nucleon energy of 13 TeV, as a function of rapidity, for fixed intervals of transverse momentum per nucleon. The data is shown in Fig. 4, in the PT per nucleon interval from 1.5 to 1.7.

Transverse momentum spectra of deuterons measured in Xe--Xe collisions at centre-of-mass per nucleon-nucleon energy of 5.44 TeV, as shown in Fig. 3 (left panel). Centrality class 20 to 40 percent.

Transverse momentum spectra of deuterons measured in Xe--Xe collisions at centre-of-mass per nucleon-nucleon energy of 5.44 TeV, as shown in Fig. 3 (left panel). Centrality class 40 to 60 percent.

Transverse momentum spectra of deuterons measured in Xe--Xe collisions at centre-of-mass per nucleon-nucleon energy of 5.44 TeV, as shown in Fig. 3 (left panel). Centrality class 60 to 90 percent.

Coalescence parameter B2 as a function of the transverse momentum per nucleon pT/A, in the centrality class 0 to 10 percent. The B2 is shown in Figure 7 (left panel).

Coalescence parameter B2 as a function of the transverse momentum per nucleon pT/A, in the centrality class 10 to 20 percent. The B2 is shown in Figure 7 (left panel).

Coalescence parameter B2 as a function of the transverse momentum per nucleon pT/A, in the centrality class 20 to 40 percent. The B2 is shown in Figure 7 (left panel).

Coalescence parameter B2 as a function of the transverse momentum per nucleon pT/A, in the centrality class 40 to 60 percent. The B2 is shown in Figure 7 (left panel).

Coalescence parameter B2 as a function of the transverse momentum per nucleon pT/A, in the centrality class 60 to 90 percent. The B2 is shown in Figure 7 (left panel).

Coalescence parameter B3 as a function of the transverse momentum per nucleon pT/A, in the centrality class 0 to 90 percent. The B3 is shown in Figure 7 (right panel).

Ratio of integrated yields of deuterons and of protons, as a function of the average charged particle multiplicity density. The d-to-p ratio is shown in Figure 5 (top panel).

Ratio of integrated yields of He3 and of protons, as a function of the average charged particle multiplicity density. The He3-to-p ratio is shown in Figure 5 (bottom panel).

Ratio of integrated yields of deuterons and of pions, as a function of the average charged particle multiplicity density. The d-to-pi ratio is shown in Figure 6 (top panel).

Ratio of integrated yields of He3 and of pions, as a function of the average charged particle multiplicity density. The He3-to-pi ratio is shown in Figure 6 (bottom panel).

B2 as a function of the average charged particle multiplicity density for pT-over-A equal to 0.75 GEV. The B2 vs. multiplicity is not shown in the paper.

(Anti)deuteron $v_2$ measured at midrapidity in the 0-20 centrality class, as shown in Fig. 8 (left panel).

(Anti)deuteron $v_2$ measured at midrapidity in the 20-40 centrality class, as shown in Fig. 8 (right panel).

non prompt $\psi(2S)$ $\lambda_\theta$

Transverse momentum spectra for the jet region, obtained as toward-transverse. Events with a leading track with PT>5 GEV at midrapidity are selected. The spectrum is shown in Figure 1 (right panel).

Coalescence parameter B2 as a function of the transverse momentum per nucleon pT/A, in the underlying event (transverse region). Events with a leading track with PT>5 GEV at midrapidity are selected. The B2 is shown in Figure 2 (both panels).

Coalescence parameter B2 as a function of the transverse momentum per nucleon pT/A, in the jet (transverse-toward region). Events with a leading track with PT>5 GEV at midrapidity are selected. The B2 is shown in Figure 2 (both panels).

$p_{\rm T}$-distributions of $\rm{K}^{*}$ (average of particle and anti-particle) meson measured in Pb-Pb collisions at \sqrt{s_{NN}}$ = 5.02 TeV for 40-60\% centrality.

$p_{\rm T}$-distributions of $\rm{K}^{*}$ (average of particle and anti-particle) meson measured in Pb-Pb collisions at \sqrt{s_{NN}}$ = 5.02 TeV for 60-80\% centrality.

$p_{\rm T}$-integrated yield d$N$/d$y$ of K$^{*}$ (average of particle and anti-particle) meson measured in Pb-Pb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.

Mean $p_{\rm T}$ of K$^{*}$ (average of particle and anti-particle) meson measured in Pb-Pb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.

$p_{\rm T}$-integrated yield ratio of $\rm{K}^{*}$ (average of particleand anti-particle) to K (average of particle and anti-particle) measured in Pb-Pb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.

$p_{\rm T}$ differential ratio $(\rm{K}^{*\pm} + \rm{K}^{*\mp}) / (\rm{K}^{+}+\rm{K}^{-})$ measured in Pb-Pb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV for 0-10\% centrality interval.

$p_{\rm T}$ differential ratio $(\rm{K}^{*\pm} + \rm{K}^{*\mp}) / (\rm{K}^{+}+\rm{K}^{-})$ measured in Pb-Pb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV for 60-80\% centrality interval.

$p_{\rm T}$ differential ratio $(\rm{K}^{*\pm} + \rm{K}^{*\mp}) / (\rm{pi}^{+}+\rm{pi}^{-})$ measured in Pb-Pb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV for 0-10\% centrality interval.

$p_{\rm T}$ differential ratio $(\rm{K}^{*\pm} + \rm{K}^{*\mp}) / (\rm{pi}^{+}+\rm{pi}^{-})$ measured in Pb-Pb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV for 60-80\% centrality interval.

$p_{T}$-dependent nuclear modification factor of $\rm{K}^{*}$ (average of particle and anti-particle) meson measured in Pb-Pb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV for 0-10\% centrality.

$p_{T}$-dependent nuclear modification factor of $\rm{K}^{*}$ (average of particle and anti-particle) meson measured in Pb-Pb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV for 10-20\% centrality.

$p_{T}$-dependent nuclear modification factor of $\rm{K}^{*}$ (average of particle and anti-particle) meson measured in Pb-Pb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV for 20-40\% centrality.

$p_{T}$-dependent nuclear modification factor of $\rm{K}^{*}$ (average of particle and anti-particle) meson measured in Pb-Pb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV for 40-60\% centrality.

$p_{T}$-dependent nuclear modification factor of $\rm{K}^{*}$ (average of particle and anti-particle) meson measured in Pb-Pb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV for 60-80\% centrality.