Distributions of the number of hits in the cluster (Nhits) for the DT category in the signal region (SR). The last histogram bin contains all overflow events.

Distributions of the number of hits in the cluster (Nhits) for the DT category in the out-of-time (OOT) region. The last histogram bin contains all overflow events.

Distributions of the number of hits in the cluster (Nhits) for the CSC category in the signal region (SR). The last histogram bin contains all overflow events.

Distributions of the number of hits in the cluster (Nhits) for the CSC category in the out-of-time (OOT) region. The last histogram bin contains all overflow events.

Distributions of the number of hits in the cluster (Nhits) for the DT category in the out-of-time (OOT) region. The last histogram bin contains all overflow events.

The 95% CL observed and expected upper limits on the VLL production cross section as a function of the VLL mass for the pseudoscalar mean proper decay length c$\tau$ = 0.025 m. The pseudoscalar mass is 2 GeV.

Distributions of the number of hits in the cluster (Nhits) for the CSC category in the out-of-time (OOT) region. The last histogram bin contains all overflow events.

The 95% CL observed and expected upper limits on the VLL production cross section as a function of the pseudoscalar mean proper decay length c$\tau$ for VLL Mass of 700 GeV. The pseudoscalar mass is 2 GeV.

The 95% CL observed and expected upper limits on the VLL production cross section as a function of the VLL mass for the pseudoscalar mean proper decay length c$\tau$ = 0.025 m. The pseudoscalar mass is 2 GeV.

The 95% CL observed upper limits on the VLL production cross section as a function of the VLL mass and the pseudoscalar mean proper decay length c$\tau$. The pseudoscalar mass is 2 GeV.

The 95% CL observed and expected upper limits on the VLL production cross section as a function of the pseudoscalar mean proper decay length c$\tau$ for VLL Mass of 700 GeV. The pseudoscalar mass is 2 GeV.

The 95% CL observed exclusion contour on the VLL production cross section as a function of the VLL mass and the pseudoscalar mean proper decay length c$\tau$. The pseudoscalar mass is 2 GeV.

The 95% CL observed upper limits on the VLL production cross section as a function of the VLL mass and the pseudoscalar mean proper decay length c$\tau$. The pseudoscalar mass is 2 GeV.

Selection efficiencies in the CSC category signal region (SR) for different signal hypothesis. The pseudoscalar mass is 2 GeV.

The 95% CL observed exclusion contour on the VLL production cross section as a function of the VLL mass and the pseudoscalar mean proper decay length c$\tau$. The pseudoscalar mass is 2 GeV.

Selection efficiencies in the DT category signal region (SR) for different signal hypothesis. The pseudoscalar mass is 2 GeV.

Selection efficiencies in the CSC category signal region (SR) for different signal hypothesis. The pseudoscalar mass is 2 GeV.

Selection efficiencies in the DT category signal region (SR) for different signal hypothesis. The pseudoscalar mass is 2 GeV.

The cluster reconstruction efficiency, including both DT and CSC clusters, as a function of the simulated r and |z| decay positions of the pseudoscalar into photons in events with MET > 200 GeV, for a VLL mass of 300 GeV and a pseudoscalar mass of 2 GeV, and a range of ctau values uniformly distributed between 0.01 and 0.1 m.

The cluster reconstruction efficiency, including both DT and CSC clusters, as a function of the simulated r and |z| decay positions of the pseudoscalar into photons in events with MET > 200 GeV, for a VLL mass of 500 GeV and a pseudoscalar mass of 2 GeV, and a range of ctau values uniformly distributed between 0.01 and 0.1 m.

Comparison of the shapes extrapolated with a linear or quadratic extrapolation of the QCD contribution in the W+ signal region.

Comparison of the shapes extrapolated with a linear or quadratic extrapolation of the QCD contribution in the W- signal region.

Post-fit distributions of the transverse mass in the W+ signal region.

Post-fit distributions of the transverse mass in the W- signal region.

Post-fit distributions of the dimuon mass in the Z boson signal region.

Example plot for the extrapolation of the QCD contribution from a region with inverted relative isolation criterion to the W+ signal region in the transverse mass bin 12 < mT < 18 GeV. The values corresponding to the smallest relative muon isolation are extrapolated with a linear (smaller value) and quadratic (larger value) function.

Example plot for the extrapolation of the QCD contribution from a region with inverted relative isolation criterion to the W- signal region in the transverse mass bin 12 < mT < 18 GeV.The values corresponding to the smallest relative muon isolation are extrapolated with a linear (smaller value) and quadratic (larger value) function.

Example plot for the extrapolation of the QCD contribution from a region with inverted relative isolation criterion to the W+ signal region in the transverse mass bin 102 < mT < 108 GeV.The values corresponding to the smallest relative muon isolation are extrapolated with a linear (larger value) and quadratic (smaller value) function.

Example plot for the extrapolation of the QCD contribution from a region with inverted relative isolation criterion to the W- signal region in the transverse mass bin 102 < mT < 108 GeV.The values corresponding to the smallest relative muon isolation are extrapolated with a linear (smaller value) and quadratic (larger value) function.

The table compares theoretical and measured values of the product of the fiducial cross sections and branching fractions. The theoretical predictions are generated with DYTurbo in combination with three different PDF sets. All values are normalized to the corresponding measured value. The relative uncertainties on the measured values are given separately with and without the contribution from the luminosity uncertainty.

The table compares theoretical and measured values of the product of the total cross sections and branching fractions. The theoretical predictions are generated with DYTurbo in combination with three different PDF sets. All values are normalized to the corresponding measured value. The relative uncertainties on the measured values are given separately with and without the contribution from the luminosity uncertainty.

The table compares theoretical and measured ratios of the product of the fiducial cross sections and branching fractions. The theoretical predictions are generated with DYTurbo in combination with three different PDF sets. All values are normalized to the corresponding measured value.

The table compares theoretical and measured ratios of the product of the total cross sections and branching fractions. The theoretical predictions are generated with DYTurbo in combination with three different PDF sets. All values are normalized to the corresponding measured value.

Comparison of the measured and theoretical cross sections for Z, W+, W-, and W production at different center-of-mass energies. The theoretical predictions are generated with DYTurbo in combination with the NNPDF 3.1 PDF set.

The nuclear suppression factor $S^{\mathrm{J}/\psi}$ of incoherent $\mathrm{J}/\psi$ meson photoproduction as a function of Bjorken $x$ in PbPb ultra-peripheral collisions at $\sqrt{s_{\mathrm{NN}}}$ = 5.02 TeV. The $x$ values are evaluated at the centers of their corresponding rapidity ranges. The theoretical uncertainties are due to the uncertainties in the photon flux.

The ratio between incoherent and coherent $\mathrm{J}/\psi$ meson photoproduction cross section as a function of photon-nuclear center-of-mass energy per nucleon $W_{\gamma \mathrm{N}}^{\mathrm{Pb}}$, measured in PbPb ultra-peripheral collisions at $\sqrt{s_{\mathrm{NN}}}$ = 5.02 TeV. The $W_{\gamma \mathrm{N}}^{\mathrm{Pb}}$ values used correspond to the center of each rapidity range. The theoretical uncertainties is due to the uncertainties in the photon flux.

The total covariance matrix of the total incoherent photoproduction cross section as a function of photon-nuclear center-of-mass energy per nucleon $W_{\gamma \mathrm{N}}^{\mathrm{Pb}}$. The covariance matrix includes both the experimental and theoretical (photon flux) uncertainties. The bins are ordered as increasing in $W_{\gamma \mathrm{N}}^{\mathrm{Pb}}$.

The experimental covariance matrix of the total incoherent photoproduction cross section as a function of photon-nuclear center-of-mass energy per nucleon $W_{\gamma \mathrm{N}}^{\mathrm{Pb}}$. The bins are ordered as increasing in $W_{\gamma \mathrm{N}}^{\mathrm{Pb}}$.

The theoretical (photon flux) covariance matrix of the total incoherent photoproduction cross section as a function of photon-nuclear center-of-mass energy per nucleon $W_{\gamma \mathrm{N}}^{\mathrm{Pb}}$. The bins are ordered as increasing in $W_{\gamma \mathrm{N}}^{\mathrm{Pb}}$.

Example search region distributions of jet multiplicity with $N_{b}=0$ (left) as well as $S_{T}$ in four-jet bins with $N_{b}=0$ (center) and $N_{b}\geq1$ (right). The lower panels show the ratio of observed events (Data) to the total background prediction (Bkg.), with the gray bands representing the sum of statistical (left), or statistical and systematic (center and right) uncertainties (Unc.) in the predictions.The expected background jet multiplicity distribution is obtained after applying the data driven corrections, whereas the $S_{T}$ distributions and the uncertainties are obtained after also performing the binned maximum likelihood fit to the data under the background-only hypothesis.Expected RPVq and RPVb ($m_{{\widetilde{\chi^{\pm}}_{1}}}=m_{{\widetilde{\chi^{0}}_{2}}}=350~$GeV with $m_{{\widetilde{\chi^{0}}_{1}}}=150$ and 50 GeV, respectively) signal distributions are overlaid for comparison.

Example search region distributions of jet multiplicity with $N_{b}=0$ (left) as well as $S_{T}$ in four-jet bins with $N_{b}=0$ (center) and $N_{b}\geq1$ (right). The lower panels show the ratio of observed events (Data) to the total background prediction (Bkg.), with the gray bands representing the sum of statistical (left), or statistical and systematic (center and right) uncertainties (Unc.) in the predictions.The expected background jet multiplicity distribution is obtained after applying the data driven corrections, whereas the $S_{T}$ distributions and the uncertainties are obtained after also performing the binned maximum likelihood fit to the data under the background-only hypothesis.Expected RPVq and RPVb ($m_{{\widetilde{\chi^{\pm}}_{1}}}=m_{{\widetilde{\chi^{0}}_{2}}}=350~$GeV with $m_{{\widetilde{\chi^{0}}_{1}}}=150$ and 50 GeV, respectively) signal distributions are overlaid for comparison.

Example search region distributions of jet multiplicity with $N_{b}=0$ (left) as well as $S_{T}$ in four-jet bins with $N_{b}=0$ (center) and $N_{b}\geq1$ (right). The lower panels show the ratio of observed events (Data) to the total background prediction (Bkg.), with the gray bands representing the sum of statistical (left), or statistical and systematic (center and right) uncertainties (Unc.) in the predictions.The expected background jet multiplicity distribution is obtained after applying the data driven corrections, whereas the $S_{T}$ distributions and the uncertainties are obtained after also performing the binned maximum likelihood fit to the data under the background-only hypothesis.Expected RPVq and RPVb ($m_{{\widetilde{\chi^{\pm}}_{1}}}=m_{{\widetilde{\chi^{0}}_{2}}}=350~$GeV with $m_{{\widetilde{\chi^{0}}_{1}}}=150$ and 50 GeV, respectively) signal distributions are overlaid for comparison.

The 95% confidence level upper limits on the RPVq (left) and RPVb (right) signal production cross sections as a function of $m_{{\widetilde{\chi^{\pm}}_{1}}}=m_{{\widetilde{\chi^{0}}_{2}}}$ and $m_{{\widetilde{\chi^{0}}_{1}}}$. Contour lines indicate the observed (bold solid) and median expected (bold dashed) boundaries with 1 standard deviation (s.d.) as well as the 68% expected bands (thin dashed), where the latter on the observed contour line is due to the theoretical uncertainty on the signal production cross section.

The 95% confidence level upper limits on the RPVq (left) and RPVb (right) signal production cross sections as a function of $m_{{\widetilde{\chi^{\pm}}_{1}}}=m_{{\widetilde{\chi^{0}}_{2}}}$ and $m_{{\widetilde{\chi^{0}}_{1}}}$. Contour lines indicate the observed (bold solid) and median expected (bold dashed) boundaries with 1 standard deviation (s.d.) as well as the 68% expected bands (thin dashed), where the latter on the observed contour line is due to the theoretical uncertainty on the signal production cross section.

The 95% confidence level upper limits on the RPVq (left) and RPVb (right) signal production cross sections as a function of $m_{{\widetilde{\chi^{\pm}}_{1}}}=m_{{\widetilde{\chi^{0}}_{2}}}$ and $m_{{\widetilde{\chi^{0}}_{1}}}$. Contour lines indicate the observed (bold solid) and median expected (bold dashed) boundaries with 1 standard deviation (s.d.) as well as the 68% expected bands (thin dashed), where the latter on the observed contour line is due to the theoretical uncertainty on the signal production cross section.

The 95% confidence level upper limits on the RPVq (left) and RPVb (right) signal production cross sections as a function of $m_{{\widetilde{\chi^{\pm}}_{1}}}=m_{{\widetilde{\chi^{0}}_{2}}}$ and $m_{{\widetilde{\chi^{0}}_{1}}}$. Contour lines indicate the observed (bold solid) and median expected (bold dashed) boundaries with 1 standard deviation (s.d.) as well as the 68% expected bands (thin dashed), where the latter on the observed contour line is due to the theoretical uncertainty on the signal production cross section.

Example diagram of a signal process, resulting from the EW production and decay of a chargino-neutralino pair and the subsequent hadronic RPV decay of the LSP. Leptonic decays of the W and Z bosons are targeted.

Search region distribution of $S_{T}$ in OnZ three-lepton events with two jets and zero b-tagged jets. The lower panel shows the ratio of observed events (Data) to the total background prediction (Bkg.), with the gray bands representing the sum of statistical and systematic uncertainties in the predictions. The expected SM background distributions and the uncertainties are obtained after performing the binned maximum likelihood fit to the data under the background-only hypothesis. For illustration, the expected pre-fit distribution of an example RPVq ($m_{{\widetilde{\chi^{\pm}}_{1}}}=350~$GeV, $m_{{\widetilde{\chi^{0}}_{1}}}=150~$GeV) signal hypothesis is also overlaid.

Search region distribution of $S_{T}$ in OnZ three-lepton events with three jets and zero b-tagged jets. The lower panel shows the ratio of observed events (Data) to the total background prediction (Bkg.), with the gray bands representing the sum of statistical and systematic uncertainties in the predictions. The expected SM background distributions and the uncertainties are obtained after performing the binned maximum likelihood fit to the data under the background-only hypothesis. For illustration, the expected pre-fit distribution of an example RPVq ($m_{{\widetilde{\chi^{\pm}}_{1}}}=350~$GeV, $m_{{\widetilde{\chi^{0}}_{1}}}=150~$GeV) signal hypothesis is also overlaid.

Search region distribution of $S_{T}$ in OnZ three-lepton events with five jets and zero b-tagged jets. The lower panel shows the ratio of observed events (Data) to the total background prediction (Bkg.), with the gray bands representing the sum of statistical and systematic uncertainties in the predictions. The expected SM background distributions and the uncertainties are obtained after performing the binned maximum likelihood fit to the data under the background-only hypothesis. For illustration, the expected pre-fit distribution of an example RPVq ($m_{{\widetilde{\chi^{\pm}}_{1}}}=350~$GeV, $m_{{\widetilde{\chi^{0}}_{1}}}=150~$GeV) signal hypothesis is also overlaid.

Search region distribution of $S_{T}$ in OnZ three-lepton events with two jets at least one of which is b-tagged. The lower panel shows the ratio of observed events (Data) to the total background prediction (Bkg.), with the gray bands representing the sum of statistical and systematic uncertainties in the predictions. The expected SM background distributions and the uncertainties are obtained after performing the binned maximum likelihood fit to the data under the background-only hypothesis. For illustration, the expected pre-fit distribution of an example RPVb ($m_{{\widetilde{\chi^{\pm}}_{1}}}=350~$GeV, $m_{{\widetilde{\chi^{0}}_{1}}}=50~$GeV) signal hypothesis is also overlaid.

Search region distribution of $S_{T}$ in OnZ three-lepton events with three jets at least one of which is b-tagged. The lower panel shows the ratio of observed events (Data) to the total background prediction (Bkg.), with the gray bands representing the sum of statistical and systematic uncertainties in the predictions. The expected SM background distributions and the uncertainties are obtained after performing the binned maximum likelihood fit to the data under the background-only hypothesis. For illustration, the expected pre-fit distribution of an example RPVb ($m_{{\widetilde{\chi^{\pm}}_{1}}}=350~$GeV, $m_{{\widetilde{\chi^{0}}_{1}}}=50~$GeV) signal hypothesis is also overlaid.

Search region distribution of $S_{T}$ in OnZ three-lepton events with five jets at least one of which is b-tagged. The lower panel shows the ratio of observed events (Data) to the total background prediction (Bkg.), with the gray bands representing the sum of statistical and systematic uncertainties in the predictions. The expected SM background distributions and the uncertainties are obtained after performing the binned maximum likelihood fit to the data under the background-only hypothesis. For illustration, the expected pre-fit distribution of an example RPVb ($m_{{\widetilde{\chi^{\pm}}_{1}}}=350~$GeV, $m_{{\widetilde{\chi^{0}}_{1}}}=50~$GeV) signal hypothesis is also overlaid.

Distribution of three- and four-lepton events across the control regions (CRs) and search regions (SR) used in the analysis. The first 13 bins correspond to ZZ (1-2), ttZ (3), ZG (4), MisID (5-7) and WZ (8-13) CRs, respectively, whereas the latter bins correspond to the SRs.The "ZZ" and "ZG" background components are shown separately from the "Rare" background component for clarity.The lower panel shows the ratio of observed events (Data) to the total background prediction (Bkg.), with the gray bands representing the sum of statistical and systematic uncertainties in the predictions.The expected SM background distributions and the uncertainties are obtained after performing the binned maximum likelihood fit to the data under the background-only hypothesis.

Description of three- and four-lepton control regions (CRs) and search regions (SRs) used in the analysis. All three-lepton OnZ events are split either in $M_{\mathrm{T}}$ or $S_{\mathrm{T}}$ bins in units of GeV. The first 13 bins correspond to ZZ (1-2), t$\bar{{\rm t}}$Z (3), Z$\gamma$ (4), MisID (5-7) and WZ (8-13) CRs, respectively, whereas the latter bins correspond to the SRs. A minimum lepton $p_{\mathrm{T}}$ cut of 20 GeV is applied to all three-lepton OnZ regions to suppress MisID background contributions, whereas it is kept at 10 GeV in all others. In the three-lepton BelowZ region (bin 4), an additional selection on the three lepton mass is applied to target Z$\gamma$ contributions, i.e. $76 < M(3\ell) < 106$ GeV.

Jet multiplicity distribution in a W-enriched selection of one-lepton events, where the expected W backround has been corrected using the two-lepton Z-enriched dataset. The same Z-enriched dataset is also used to correct the {\WZ} jet multiplicity distribution in the SRs. The lower panel shows the ratio of observed events (Data) to the total background prediction (Bkg.), with the gray bands representing the statistical uncertainties in prediction.An example RPVq signal ($m_{{\widetilde{\chi^{\pm}}_{1}}}=350~$GeV, $m_{{\widetilde{\chi^{0}}_{1}}}=150~$GeV) is also overlaid.

The jet scaling patterns as measured in $t\overline{t}$-enriched one-lepton and Z-enriched two-lepton events in data. These are defined as the ratios of event counts in neighboring jet multiplicity $N_{j}$ bins, i.e. number of events with $(i+1)$ jets to the number with $i$ jets, and are used to correct the corresponding jet multiplicity distributions of WZ and ttZ events in three-lepton signal regions. In each measurement, the contributions of other processes are estimated and subtracted using simulated samples. The corresponding statistical uncertainties are negligible, whereas systematic uncertainties are not shown.

Table contains number of signal events for selected masses with different cuts applied.

Normalized $\sigma_{\psi(2S)}/\sigma_{J/\psi}$ in $6.5<p_T<30.0\,GeV$ and $ 1 < y_{CM} < 1.935$ as functions of normalized $\text{N}^{{\text{corr.}}}_{\text{track}}$

Normalized $\sigma_{\psi(2S)}/\sigma_{J/\psi}$ in $6.5<p_T<30.0\,GeV$ and $ -2.865 < y_{CM} < 1.935$ as functions of normalized $\text{N}^{{\text{corr.}}}_{\text{track}}$

Normalized $\sigma_{\psi(2S)}/\sigma_{J/\psi}$ in $3.0<p_T<6.5\,GeV$ and $ -2.865 < y_{CM} < -2 $ as functions of normalized $\text{N}^{{\text{corr.}}}_{\text{track}}$

Normalized $\sigma_{\psi(2S)}/\sigma_{J/\psi}$ in $3.0<p_T<6.5\,GeV$ and $ 1 < y_{CM} < 1.935 $ as functions of normalized $\text{N}^{{\text{corr.}}}_{\text{track}}$

p-$\pi^{+}$ + antip-$\pi^{-}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV for $m_\text{T} \in [1.20, 1.50)$ GeV/$c^2$

p-$\pi^{+}$ + antip-$\pi^{-}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV for $m_\text{T} \in [1.50, 2.00)$ GeV/$c^2$

p-$\pi^{+}$ + antip-$\pi^{-}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV for $m_\text{T} \in [2.00, 2.50)$ GeV/$c^2$

Spectral temperature parameter for $\Delta^{++}$(1232) from p-$\pi^{+}$ + antip-$\pi^{-}$ correlations in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

Width of the $\Delta^{++}$(1232) from p-$\pi^{+}$ + antip-$\pi^{-}$ correlations in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

Core source size of p-$\pi^{+}$ + antip-$\pi^{-}$ pairs in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

p-$\pi^{-}$ + p-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV for $m_\text{T} \in [0.54, 0.75)$ GeV/$c^2$

p-$\pi^{-}$ + p-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV for $m_\text{T} \in [0.75, 0.95)$ GeV/$c^2$

p-$\pi^{-}$ + p-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV for $m_\text{T} \in [0.95, 1.20)$ GeV/$c^2$

p-$\pi^{-}$ + p-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV for $m_\text{T} \in [1.20, 1.50)$ GeV/$c^2$

p-$\pi^{-}$ + p-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV for $m_\text{T} \in [1.50, 2.00)$ GeV/$c^2$

p-$\pi^{-}$ + p-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV for $m_\text{T} \in [2.00, 2.50)$ GeV/$c^2$

Spectral temperature parameter for $\Delta^{0}$(1232) from p-$\pi^{-}$ + p-$\pi^{+}$ correlations in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

Width of the $\Delta^{0}$(1232) from p-$\pi^{-}$ + p-$\pi^{+}$ correlations in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

Core source size of p-$\pi^{-}$ + p-$\pi^{+}$ pairs in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

(p-p)-$\pi^{+}$ + (antip-antip)-$\pi^{-}$ lower-order correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

(p-p)-$\pi^{-}$ + (antip-antip)-$\pi^{+}$ lower-order correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

(p-$\pi^{+}$)-p + (antip-$\pi^{-}$)-antip lower-order correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

(p-$\pi^{-}$)-p + (antip-$\pi^{+}$)-antip lower-order correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

(p-p-$\pi^{+}$) + (antip-antip-$\pi^{-}$) triplet correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

Total lower-order contribution of p-p-$\pi^{+}$ + antip-antip-$\pi^{-}$ in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

(p-p-$\pi^{-}$) + (antip-antip-$\pi^{+}$) triplet correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

Total lower-order contribution of p-p-$\pi^{-}$ + antip-antip-$\pi^{+}$ in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

Cumulant of p-p-$\pi^{+}$ + antip-antip-$\pi^{-}$ in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

Cumulant of p-p-$\pi^{-}$ + antip-antip-$\pi^{+}$ in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV

Common ancestor p-$\pi^{+}$ + antip-$\pi^{-}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [0.54, 0.75)$ GeV/$c^2$

Non-common ancestor p-$\pi^{+}$ + antip-$\pi^{-}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [0.54, 0.75)$ GeV/$c^2$

Common ancestor p-$\pi^{+}$ + antip-$\pi^{-}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [0.75, 0.95)$ GeV/$c^2$

Non-common ancestor p-$\pi^{+}$ + antip-$\pi^{-}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [0.75, 0.95)$ GeV/$c^2$

Common ancestor p-$\pi^{+}$ + antip-$\pi^{-}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [0.95, 1.20)$ GeV/$c^2$

Non-common ancestor p-$\pi^{+}$ + antip-$\pi^{-}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [0.95, 1.20)$ GeV/$c^2$

Common ancestor p-$\pi^{+}$ + antip-$\pi^{-}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [1.20, 1.50)$ GeV/$c^2$

Non-common ancestor p-$\pi^{+}$ + antip-$\pi^{-}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [1.20, 1.50)$ GeV/$c^2$

Common ancestor p-$\pi^{+}$ + antip-$\pi^{-}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [1.50, 2.00)$ GeV/$c^2$

Non-common ancestor p-$\pi^{+}$ + antip-$\pi^{-}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [1.50, 2.00)$ GeV/$c^2$

Common ancestor p-$\pi^{+}$ + antip-$\pi^{-}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [2.00, 2.50)$ GeV/$c^2$

Non-common ancestor p-$\pi^{+}$ + antip-$\pi^{-}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [2.00, 2.50)$ GeV/$c^2$

Common ancestor p-$\pi^{-}$ + antip-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [0.54, 0.75)$ GeV/$c^2$

Non-common ancestor p-$\pi^{-}$ + antip-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [0.54, 0.75)$ GeV/$c^2$

Common ancestor p-$\pi^{-}$ + antip-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [0.75, 0.95)$ GeV/$c^2$

Non-common ancestor p-$\pi^{-}$ + antip-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [0.75, 0.95)$ GeV/$c^2$

Common ancestor p-$\pi^{-}$ + antip-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [0.95, 1.20)$ GeV/$c^2$

Non-common ancestor p-$\pi^{-}$ + antip-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [0.95, 1.20)$ GeV/$c^2$

Common ancestor p-$\pi^{-}$ + antip-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [1.20, 1.50)$ GeV/$c^2$

Non-common ancestor p-$\pi^{-}$ + antip-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [1.20, 1.50)$ GeV/$c^2$

Common ancestor p-$\pi^{-}$ + antip-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [1.50, 2.00)$ GeV/$c^2$

Non-common ancestor p-$\pi^{-}$ + antip-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [1.50, 2.00)$ GeV/$c^2$

Common ancestor p-$\pi^{-}$ + antip-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [2.00, 2.50)$ GeV/$c^2$

Non-common ancestor p-$\pi^{-}$ + antip-$\pi^{+}$ correlation function in high-multiplicity (0-0.17%) pp collisions at $\sqrt{s}=13$ TeV with PYTHIA 8.2 (Monash 13 Tune) for $m_\text{T} \in [2.00, 2.50)$ GeV/$c^2$

Production ratio of $\omega$ to $\pi^{0}$ mesons in p--Pb collisions at 5.02 TeV.

Nuclear modification factor $R_{pPb}$ for $\omega$ meson production in p--Pb/pp collisions at 5.02 TeV.

Pre-fit MC statistical uncertainties per bin. These values are used to quantify the MC statistical uncertainty contributions to the total uncertainty in $m_t$ based on elements from the covariance matrix obtained in the profile likelihood fit. Each MC statistical contribution is estimated by dividing the relevant covariance matrix entry (see Table 2) by the corresponding pre-fit MC statistical uncertainty for that bin.

The contribution of each source of systematic uncertainty to the total uncertainty in $m_t$ is provided. Each source's contribution is taken directly from the relevant element of the covariance matrix for the profile likelihood fit to $\overline{m_J}$, $m_{jj}$, and $m_{tj}$ using data. The sign of the effect of each uncertainty is included.

The fitted $m_t$ is provided for each replica generated using bootstrapping. Each replica is a 3D histogram of $m_{J}$, $m_{jj}$, and $m_{tj}$, where $m_{J}$ has 50 bins between 145.0 GeV and 205.0 GeV. This method uses the BootstrapGenerator class in ROOT to initialise a pseudo-random number generator for each event, which is seeded by the value of the eventNumber and runNumber variables for a given event in the input dataset. The pseudo-random numbers are drawn from a Poisson distribution with rate parameter equal to 1. These are used to fluctuate the amount by which each replica histogram is filled. There are 1000 replicas, numbered from 0 to 999.

Nuclear modification factor 'RpPb' for isolated prompt photon production in p--Pb collisions at 5.02 TeV.

Nuclear modification factor 'RpPb' for isolated prompt photon production in p--Pb collisions at 8.16 TeV.

NLO pQCD calculation with JETPHOX for isolated prompt photon production in pp collisions at 8 TeV.

NLO pQCD calculation with JETPHOX for isolated prompt photon production in p--Pb collisions at 8.16 TeV.

NLO pQCD calculation with JETPHOX for isolated prompt photon production in p--Pb collisions at 5.02 TeV.

KNO-scaled multiplicity distribution versus the KNO variable $N_{\mathrm{ch}}/\langle N_{\mathrm{ch}}\rangle$ in NSD p-Pb collisions at $\sqrt{s_\mathrm{NN}} = 5020~\mathrm{GeV}$ for the pseudorapidity interval $|\eta|<2.4$.

KNO-scaled multiplicity distribution versus the KNO variable $N_{\mathrm{ch}}/\langle N_{\mathrm{ch}}\rangle$ in NSD p-Pb collisions at $\sqrt{s_\mathrm{NN}} = 5020~\mathrm{GeV}$ for the pseudorapidity interval $|\eta|<3.0$.

KNO-scaled multiplicity distribution versus the KNO variable $N_{\rm ch}/\langle N_{\rm ch}\rangle$ in NSD p-Pb collisions at $\sqrt{s_\mathrm{NN}} = 5020~\mathrm{GeV}$ for the pseudorapidity interval $|\eta|<3.4$.

KNO-scaled multiplicity distribution versus the KNO variable $N_{\mathrm{ch}}/\langle N_{\mathrm{ch}}\rangle$ in NSD p-Pb collisions at $\sqrt{s_\mathrm{NN}} = 5020~\mathrm{GeV}$ for the pseudorapidity interval $-3.4<\eta<5.0$.

KNO-scaled multiplicity distribution versus the KNO variable $N_{\mathrm{ch}}/\langle N_{\mathrm{ch}}\rangle$ in NSD p-Pb collisions at $\sqrt{s_\mathrm{NN}} = 5020~\mathrm{GeV}$ for the pseudorapidity interval $-3.4<\eta<-1.0$.

KNO-scaled multiplicity distribution versus the KNO variable $N_{\mathrm{ch}}/\langle N_{\mathrm{ch}}\rangle$ in NSD p-Pb collisions at $\sqrt{s_\mathrm{NN}} = 5020~\mathrm{GeV}$ for the pseudorapidity interval $2.0<\eta<5.0$.

Average charged-particle multiplicity normalised by the average number of participating nucleon pairs in NSD p-Pb collisions at $\sqrt{s_\mathrm{NN}} = 5020~\mathrm{GeV}$ for the pseudorapidity interval $-3.4<\eta<5.0$.