$\eta$ 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.

Summary of the fitted yields for $B^{0}\rightarrow \mu^{+}\mu^{-}$ for all 14 categories of the 3D UML branching fraction fit.

Summary of the fitted yields for the combinatorial background for 5.2$<$$m_{\mu^{+}\mu^{-}}$$<$5.45 GeV for all 14 categories of the 3D UML branching fraction fit.

Summary of the fitted yields for the $B^{+}\rightarrow J/\psi K^{+}$ normalization for all 14 categories of the 3D UML branching fraction fit.

Summary of the average $p_{T}$ of the $B_{s}^{0}\rightarrow \mu^{+}\mu^{-}$ signal for all 14 categories of the 3D UML branching fraction fit.

Summary of the ratio of efficiencies between the normalization and the signal for all 14 categories of the 3D UML branching fraction fit.

Result of the branching fraction for $B_{s}^{0}\rightarrow \mu^{+}\mu^{-}$, $B^{0}\rightarrow \mu^{+}\mu^{-}$.

Summary of the effective lifetime of $B_{s}^{0}$ meson for $B_{s}^{0}\rightarrow \mu^{+}\mu^{-}$.

1 sigma contour from figure 6 (left)

2 sigma contour from figure 6 (left)

Dilepton exclusion limits at 95% CL on the CI scale (Lambda) for the six CI models considered for the muon channel. The limits are obtained for m > 400(2200) GeV in the case of constructive (destructive) interference.

Combined dilepton 95% CL exclusion limits on the cross section for the left-left constructive CI model. The red curve in the left plot shows the theoretical cross section as a function of the CI Scale Lambda.

Combined dilepton 95% CL exclusion limits on the CI scale (Lambda) for the six different CI models considered. Thelimits are obtained for m > 400(2200) GeV in the case of constructive (destructive) interference.

Exclusion limits at 95% CL on the UV cutoff for the electron channel with m> 1.8 TeV in the GRW, Hewett, and HLZ conventions for the ADD model. Signal model cross sections are calculated up to leading order and a correction factor of 1.3 is applied.

Exclusion limits at 95% CL on the UV cutoff for the muon channel with m> 1.8 TeV in the GRW, Hewett, and HLZ conventions for the ADD model. Signal model cross sections are calculated up to leading order and a correction factor of 1.3 is applied.

Combined dilepton 95% CL exclusion limit on the cross section in the GRW convention with m > 1.8 TeV for the ADD model.

Combined dilepton 95% CL exclusion limits on the UV cutoff with m> 1.8 TeV in the GRW, Hewett, and HLZ conventions for the ADD model. Signal model cross sections are calculated up to leading order and a correction factor of 1.3 is applied.

Individual and combined dilepton (this analysis) and diphoton 95% CL expected exclusion limits as a summary of all parameter conventions for the ADD model. Signal model cross sections are calculated up to leading order.

Individual and combined dilepton (this analysis) and diphoton 95% CL observed exclusion limits as a summary of all parameter conventions for the ADD model. Signal model cross sections are calculated up to leading order.

Summary of the measured values of $ d\sigma / d{m}$ (pb/GeV) in the dielectron channel with the statistical ($\delta_{\text{stat}}$), experimental ($\delta_{\text{exp}}$) and theoretical ($\delta_{\text{theo}}$) uncertainties, respectively. Here, $\delta_{\text{tot}}$ is the quadratic sum of the three components.

Summary of the measured values of fiducial $ d\sigma / d{m}$ (pb/GeV) (with no FSR correction applied) in the dimuon channel with the statistical ($\delta_{\text{stat}}$) and experimental ($\delta_{\text{exp}}$) uncertainties shown separately. Here, $\delta_{\text{tot}}$ is the quadratic sum of the two components.

of the measured values of fiducial $ d\sigma / d{m}$ (pb/GeV) (with no FSR correction applied) in the dielectron channel with the statistical ($\delta_{\text{stat}}$) and experimental ($\delta_{\text{exp}}$) uncertainties shown separately. Here, $\delta_{\text{tot}}$ is the quadratic sum of the two components.

Summary of the combined values of $ d\sigma / d{m}$ (pb/GeV) using the results from both the dimuon and dielectron channels. Here, $\delta_{\text{tot}}$ is the quadratic sum of the statistical, experimental and theoretical uncertainties.

Covariance matrix of the Drell-Yan differential cross section as a function of the dimuon invariant mass, measured in the full phase space, with FSR correction is applied. Luminosity uncertainty is not included in the covariance.

Covariance matrix of the Drell-Yan differential cross section as a function of the dielectron invariant mass, measured in the full phase space, with FSR correction is applied. Luminosity uncertainty is not included in the covariance.

Covariance matrix of the differential DY cross section measured for the combination of the two channels in the full phase space.