Opposite-sign pion pair correlation functions in PYTHIA simulations for sphericity S_{T} > 0.7 (spherical events).

Same-sign pion pair correlation functions in data for sphericity S_{T} < 0.3 (jet-like events).

Same-sign pion pair correlation functions for simulated events with sphericity S_{T} < 0.3 (jet-like events).

Same-sign pion pair correlation functions in data for sphericity S_{T} > 0.7 (spherical events).

Same-sign pion pair correlation functions for simulated events with sphericity S_{T} > 0.7 (spherical events).

Comparison of exponential and Gaussian fit results for $C^{QS}(q)$ functions in events with sphericity S_{T} < 0.3 (jet-like events).

Comparison of exponential and Gaussian fit results for $C^{QS}(q)$ functions in events with sphericity S_{T} > 0.7 (spherical events).

Measured 1D source radii as a function of pair k_{T} for spherical events with $<dN_{\textrm{ch}}/d\eta> = 5.3 \pm 2.2$ in pp collisions at $\sqrt{{\textit s}}=7$ TeV.

Measured 1D source radii as a function of pair k_{T} for spherical events with $<dN_{\textrm{ch}}/d\eta> = 10.5 \pm 2.10$ in pp collisions at $\sqrt{{\textit s}}=7$ TeV.

Measured 1D source radii as a function of pair k_{T} for spherical events with $<dN_{\textrm{ch}}/d\eta> = 14.9 \pm 2.3$ in pp collisions at $\sqrt{{\textit s}}=7$ TeV.

Measured 1D source radii as a function of pair k_{T} for spherical events with $<dN_{\textrm{ch}}/d\eta> = 20.4 \pm 3.2$ in pp collisions at $\sqrt{{\textit s}}=7$ TeV.

Measured 1D source radii as a function of pair k_{T} for jet-like events with $<dN_{\textrm{ch}}/d\eta> = 4.3 \pm 2.0$ in pp collisions at $\sqrt{{\textit s}}=7$ TeV.

Measured 1D source radii as a function of pair k_{T} for jet-like events with $<dN_{\textrm{ch}}/d\eta> = 9.6 \pm 2.0$ in pp collisions at $\sqrt{{\textit s}}=7$ TeV.

Measured 1D source radii as a function of pair k_{T} for jet-like events with $<dN_{\textrm{ch}}/d\eta> = 13.9 \pm 2.2$ in pp collisions at $\sqrt{{\textit s}}=7$ TeV.

Measured 1D source radii as a function of pair k_{T} for jet-like events with $<dN_{\textrm{ch}}/d\eta> = 18.7 \pm 3.2$ in pp collisions at $\sqrt{{\textit s}}=7$ TeV.

The theoretical EWK WZ cross section in the tight EWK fiducial region. Can be multiplied by the measured EWK WZ scale factor to find the measured EWK WZ cross section.

aQGC limits on effective field theory parameters in EWK WZ events

List of relative uncertainties in the measured cross sections of the $t\bar{t}Z$ and $t\bar{t}W$ processes from the fit, grouped in categories. All uncertainties are symmetrized. The sum in quadrature may not be equal to the total due to correlations between uncertainties introduced by the fit.

The expected and observed 68% and 95% confidence intervals, which include the value 0, for $\mathcal{C}_{i}/\Lambda^{2}$ for the EFT coefficients $\mathcal{C}_{\phi Q}^{(3)}$, $\mathcal{C}_{\phi t}$, $\mathcal{C}_{tB}$ and $\mathcal{C}_{tW}$. The intervals for $\mathcal{C}_{\phi Q}^{(3)}$ are derived setting $\mathcal{C}_{\phi Q}^{(1)}$ to zero; the measurement is sensitive to the difference $\mathcal{C}_{\phi Q}^{(3)}-\mathcal{C}_{\phi Q}^{(1)}$. All results are given in units of 1/TeV$^{2}$. Limits from fits for the EFT coefficients with only the linear term are also shown.

Differential cross section in bins of pT(Z). Values are expressed as a fraction of the total cross section. The inclusive final state is shown.

Differential cross section in bins of pT(Z). Values are expressed as a fraction of the total cross section. The emm and mmm final states are shown.

Differential cross section in bins of mass of the WZ system. Values are expressed as a fraction of the total cross section.

Measured WZ production cross sections computed separately in each of the flavour categories.

Measured fiducial cross sections and their corresponding uncertainties for each of the individual flavour categories, as well as for the combination of the four. The combined value is the result of a symultaneous fit to the four categories, therefore both the central value and its total uncertaintydiffer from the sum of the central values and the quadratic sum of the uncertainties respectively, because of correlations among sources of uncertainty in the categorized values.

Differential cross section in bins of pT(leading jet). Values are expressed as a fraction of the total cross section. The inclusive final state is shown.

Expected and observed yields for each of the relevant processes and flavour categories. Combined statistical and systematic uncertainties are shown for each case except for the observed data yields for which only statistical uncertainties are presented. All expected yields correspond to quantities estimated after the maximum likelihood fit. Uncertainties are computed taking into account the full correlation matrix between sources of uncertainty, processes, and flavour categories.

Differential cross section in bins of pT(leading jet). Values are expressed as a fraction of the total cross section. The eee, eem, emm, and mmm final states are shown.

Summary of the total postfit impact of each uncertainty source on the uncertainty in the signal strength measurement, for the four flavour categories and their combination. Theoretical uncertainties are only included in the signal acceptance during the extrapolation to the total phase space, so they are not included in the likelihood fit. The values are percentages and correspond to half the difference between the up and down variation of each systematic uncertainty component.

Efficiencies estimated as transfer factors from the fiducial region to the signal region using generator-level information, for an integrated luminosity L of 35.9 inverse femtobarn. Statistical, scale, and PDF uncertainties are later propagated to the final cross section measurement.

Measured WZ production cross section computed in the inclusive final state and split by W boson charge, and asymmetry ratio.

$\eta$ distributions of fake tracks in minimum-bias collision events and chargino tracks in 3 TeV wino signal events. The normalization is arbitrary. The details of fake track reconstruction is described in Sect. 5.2. The fake-track distribution is shown only within the range $|\eta|<2$.

Probability of finding a fake track in an event as a function of the average number of $pp$ interactions per bunch crossing ($\left<\mu\right>$). The probabilities for the tracks reconstructed with $N_{\mathrm{layer}}^{\mathrm{hit}}=4$ (5) are shown by the open (filled) markers, and they are presented separately for the three tracker layouts, the default layout ($\#$1) in black circles, the alternative layouts of $\#$2 in magenta squares and $\#$3 in red upward triangles. The probabilities for the layout $\#$2 are shown only at $\left<\mu\right>=200$. The estimate from the mixed sample of non-diffractive and diffractive events for the default layout is shown by the blue diamond for comparison purpose.

Expected discovery significance for the wino model with 30 ab$^{-1}$ with the requirement of $N_{\mathrm{layer}}^{\mathrm{hit}}=5$. The grey (red) bands show the significance using the default (alternative) layout $\#$1 ($\#$3). The difference between the solid and hatched bands corresponds to the different pileup conditions of $\left<\mu\right>=200$ and 500. The band width corresponds to the significance variation due to the two models assumed for soft QCD processes.

Expected discovery significance for the higgsino model with 30 ab$^{-1}$ with the requirement of $N_{\mathrm{layer}}^{\mathrm{hit}}=5$. The grey (red) bands show the significance using the default (alternative) layout $\#$1 ($\#$3). The difference between the solid and hatched bands corresponds to the different pileup conditions of $\left<\mu\right>=200$ and 500. The band width corresponds to the significance variation due to the two models assumed for soft QCD processes.

Expected discovery significance for the wino model with 30 ab$^{-1}$ with the requirements of $N_{\mathrm{layer}}^{\mathrm{hit}}=5$ and a good time-fit quality. The background reduction rate with the time information is assumed to be the same for both pileup conditions. The grey (red) bands show the significance using the default (alternative) layout $\#$1 ($\#$3). The difference between the solid and hatched bands corresponds to the different pileup conditions of $\left<\mu\right>=200$ and 500. The band width corresponds to the significance variation due to the two models assumed for soft QCD processes.

Expected discovery significance for the higgsino model with 30 ab$^{-1}$ with the requirements of $N_{\mathrm{layer}}^{\mathrm{hit}}=5$ and a good time-fit quality. The background reduction rate with the time information is assumed to be the same for both pileup conditions. The grey (red) bands show the significance using the default (alternative) layout $\#$1 ($\#$3). The difference between the solid and hatched bands corresponds to the different pileup conditions of $\left<\mu\right>=200$ and 500. The band width corresponds to the significance variation due to the two models assumed for soft QCD processes.

Summary of reach for charginos using a disappearing-track signature. The FCC-hh 5$\sigma$-discovery reach assuming the alternative layout, the average number of $pp$ interactions per bunch crossing of 500, only non-diffractive soft-QCD processes and a use of the time information of the pixel detector is shown in blue. The reach for the wino scenario is obtained by extrapolating the sensitivity curve in Fig. 6. The 5$\sigma$-discovery reach and the 95% CL exclusion sensitivity are taken from [46]. The observed exclusion in the ATLAS search with 36 fb$^{-1}$ of Run 2 data [39, 47] are shown as well.

Radial distances (in mm) of the first five layers from the beam line for the three inner-tracker layouts considered in this study.

Signal acceptance for the 3 TeV wino and 1 TeV higgsino with $|\eta|<1$ for the three inner-tracker layouts. The acceptances are provided separately for the requirements of $N_{\mathrm{layer}}^{\mathrm{hit}}=4$ and 5. The alternative layout $\#$3 has significantly higher acceptance than the others because the relevant layers are located closer to the beam line, particularly for the higgsino case with $N_{\mathrm{layer}}^{\mathrm{hit}}=5$.

Signal and background yields as well as the discovery significance for the 3 TeV wino and 1 TeV higgsino with 30 ab$^{-1}$ with the requirements of $N_{\mathrm{layer}}^{\mathrm{hit}}=5$ under the pileup condition of $\left<\mu\right>=200$. The fake-track background rate is assumed to be same for both alternative layouts. The kinematic selection requirements on the leading jet $p_{T}$ and $E_{\text{T}}^{\text{miss}}$ are also given.

Signal and background yields as well as the discovery significance for the 3 TeV wino and 1 TeV higgsino with 30 ab$^{-1}$ with the requirements of $N_{\mathrm{layer}}^{\mathrm{hit}}=5$ under the pileup condition of $\left<\mu\right>=500$. The fake-track background rate is assumed to be same for both alternative layouts. The kinematic selection requirements on the leading jet $p_{T}$ and $E_{\text{T}}^{\text{miss}}$ are also given.

Background-only post-fit $p_{T}^{miss}$ distributions for the CRs of the SL selection. The total theory signal (t/t+DM and tt+DM summed together) is negligible and therefore is not shown. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the CRs of the SL selection. The total theory signal (t/t+DM and tt+DM summed together) is negligible and therefore is not shown. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the CRs of the AH selection. The total theory signal (t/t+DM and tt+DM summed together) is negligible and therefore is not shown. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the CRs of the AH selection. The total theory signal (t/t+DM and tt+DM summed together) is negligible and therefore is not shown. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the CRs of the AH selection. The total theory signal (t/t+DM and tt+DM summed together) is negligible and therefore is not shown. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the CRs of the AH selection. The total theory signal (t/t+DM and tt+DM summed together) is negligible and therefore is not shown. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the CRs of the AH selection. The total theory signal (t/t+DM and tt+DM summed together) is negligible and therefore is not shown. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the CRs of the AH selection. The total theory signal (t/t+DM and tt+DM summed together) is negligible and therefore is not shown. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the SRs of the SL selection. The total theory signal (t/t+DM and tt+DM summed together) is presented by the red solid lines for a scalar mediator mass of 100 GeV. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the SRs of the SL selection. The total theory signal (t/t+DM and tt+DM summed together) is presented by the red solid lines for a scalar mediator mass of 100 GeV. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the SRs of the SL selection. The total theory signal (t/t+DM and tt+DM summed together) is presented by the red solid lines for a scalar mediator mass of 100 GeV. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the SRs of the SL selection. The total theory signal (t/t+DM and tt+DM summed together) is presented by the red solid lines for a scalar mediator mass of 100 GeV. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the SRs of the SL selection. The total theory signal (t/t+DM and tt+DM summed together) is presented by the red solid lines for a scalar mediator mass of 100 GeV. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the SRs of the SL selection. The total theory signal (t/t+DM and tt+DM summed together) is presented by the red solid lines for a scalar mediator mass of 100 GeV. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the SRs of the AH selection. The total theory signal (t/t+DM and tt+DM summed together) is presented by the red solid lines for a scalar mediator mass of 100 GeV. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the SRs of the AH selection. The total theory signal (t/t+DM and tt+DM summed together) is presented by the red solid lines for a scalar mediator mass of 100 GeV. The last bin contains overflow events.

Background-only post-fit $p_{T}^{miss}$ distributions for the SRs of the AH selection. The total theory signal (t/t+DM and tt+DM summed together) is presented by the red solid lines for a scalar mediator mass of 100 GeV. The last bin contains overflow events.

The expected and observed 95% CL limits on the DM production cross sections, relative to the theory predictions, shown for the scalar models.

The expected and observed 95% CL limits on the DM production cross sections, relative to the theory predictions, shown for the pseudoscalar models.

Cross sections of the t+DM and tt+DM processes, for different mediator and dark matter masses. The scalar hypothesis is considered. The t+DM processes are split by production mode (t-, s-, and tW-channels). The sum of the three is also provided.

Cross sections of the t+DM and tt+DM processes, for different mediator and dark matter masses. The pseudoscalar hypothesis is considered. The t+DM processes are split by production mode (t-, s-, and tW-channels). The sum of the three is also provided.

'The relative dynamical correlation as a function of $N_{part}$'

'The relative dynamical correlation as a function of $N_{part}$'

'The relative dynamical correlation as a function of $N_{part}$'

'The relative dynamical correlation as a function of $N_{part}$'

'The relative dynamical correlation as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'ratios of the measured data to the power law as a function of $N_{part}$'

'ratios of the measured data to the power law as a function of $N_{part}$'

'ratios of the measured data to the power law as a function of $N_{part}$'

'ratios of the measured data to the power law as a function of $N_{part}$'

'ratios of the measured data to the power law as a function of $N_{part}$'

'ratios of the measured data to the power law as a function of $N_{part}$'

'ratios of the measured data to the power law as a function of $N_{part}$'

'ratios of the measured data to the power law as a function of $N_{part}$'

'The ratios of the measured data to UrQMD calculations as a function of $N_{part}$'

'The ratios of the measured data to UrQMD calculations as a function of $N_{part}$'

'The ratios of the measured data to UrQMD calculations as a function of $N_{part}$'

'The ratios of the measured data to UrQMD calculations as a function of $N_{part}$'

'The ratios of the measured data to UrQMD calculations as a function of $N_{part}$'

'The ratios of the measured data to UrQMD calculations as a function of $N_{part}$'

'The ratios of the measured data to UrQMD calculations as a function of $N_{part}$'

'The ratios of the measured data to UrQMD calculations as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'The UrQMD calculations of relative dynamical correlation as a function of $N_{part}$'

'Comparison of a model incorporating a Boltzmann-Langevin approach to the calculation of thermalization effects for the relative dynamical correlation as a function of $N_{part}$'

'Comparison of a model incorporating a Boltzmann-Langevin approach to the calculation of thermalization effects for the relative dynamical correlation as a function of $N_{part}$'

'Comparison of a model incorporating a Boltzmann-Langevin approach to the calculation of thermalization effects for the relative dynamical correlation as a function of $N_{part}$'

'Comparison of a model incorporating a Boltzmann-Langevin approach to the calculation of thermalization effects for the relative dynamical correlation as a function of $N_{part}$'

'Comparison of a model incorporating a Boltzmann-Langevin approach to the calculation of thermalization effects for the relative dynamical correlation as a function of $N_{part}$'

'Comparison of a model incorporating a Boltzmann-Langevin approach to the calculation of thermalization effects for the relative dynamical correlation as a function of $N_{part}$'

'Comparison of a model incorporating a Boltzmann-Langevin approach to the calculation of thermalization effects for the relative dynamical correlation as a function of $N_{part}$'

'Comparison of a model incorporating a Boltzmann-Langevin approach to the calculation of thermalization effects for the relative dynamical correlation as a function of $N_{part}$'

'Comparison of a model incorporating a Boltzmann-Langevin approach to the calculation of thermalization effects for the relative dynamical correlation as a function of $N_{part}$'

'relative dynamical correlation as a function of $N_{part}$'

'relative dynamical correlation as a function of $N_{part}$'

'relative dynamical correlation as a function of $N_{part}$'

'relative dynamical correlation as a function of collision energy for the 0-5\% centrality bin'

'relative dynamical correlation as a function of collision energy for the 0-5\% centrality bin'

'relative dynamical correlation as a function of collision energy for the 0-5\% centrality bin'

'relative dynamical correlation as a function of collision energy for the 0-5\% centrality bin'

'relative dynamical correlation as a function of collision energy for the 0-5\% centrality bin'

The $D^+_S/D^0$ ratio in pp and PbPb collisions.

The ratio of $D^+_S/D^0$ in PbPb to the $D^+_S/D^0$ pp collisions.