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 $\text{N}^{{\text{corr.}}}_{\text{track}}$

Two-dimensional distribution of the invariant mass $m_{DV}$ and the track multiplicity in the High-pT jet SR for observed data events

Two-dimensional distribution of the invariant mass $m_{DV}$ and the track multiplicity in the High-pT jet SR for expected signal events in the strong gluino pair pair production model with m(gluino)=1.8 TeV, m(chi0)=0.2 TeV, tau(chi0)=0.1 ns

Two-dimensional distribution of the invariant mass $m_{DV}$ and the track multiplicity in the Trackless jet SR for observed data events

Two-dimensional distribution of the invariant mass $m_{DV}$ and the track multiplicity in the Trackless jet SR for expected signal events in the electroweak pair production model

Expected exclusion limits at 95% CL on the lifetime and mass of the neutralino in electroweakino pair production models

Expected (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in electroweakino pair production models

Expected (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in electroweakino pair production models

Observed exclusion limits at 95% CL on the lifetime and mass of the neutralino in electroweakino pair production models

Observed (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in electroweakino pair production models

Observed (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in electroweakino pair production models

Expected exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.4 TeV

Expected (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.4 TeV

Expected (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.4 TeV

Observed exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.4 TeV

Observed (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.4 TeV

Observed (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.4 TeV

Exclusion limits at 95% CL on the production cross section in the electroweak pair production model.

Exclusion limits at 95% CL on the production cross section in the strong gluino pair production models and m(gluino)=2.4 TeV

Expected exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.0 TeV

Expected (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.0 TeV

Expected (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.0 TeV

Observed exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.0 TeV

Observed (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.0 TeV

Observed (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.0 TeV

Expected exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.2 TeV

Expected (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.2 TeV

Expected (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.2 TeV

Observed exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.2 TeV

Observed (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.2 TeV

Observed (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the neutralino in strong gluino pair production models and m(gluino)=2.2 TeV

Expected exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=50 GeV

Expected (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=50 GeV

Expected (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=50 GeV

Observed exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=50 GeV

Observed (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=50 GeV

Observed (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=50 GeV

Expected exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=450 GeV

Expected (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=450 GeV

Expected (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=450 GeV

Observed exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=450 GeV

Observed (+1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=450 GeV

Observed (-1 sigma) exclusion limits at 95% CL on the lifetime and mass of the gluino in strong gluino pair production models and m(chi0)=450 GeV

Expected exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.01 ns

Expected (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.01 ns

Expected (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.01 ns

Observed exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.01 ns

Observed (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.01 ns

Observed (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.01 ns

Expected exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.1 ns

Expected (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.1 ns

Expected (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.1 ns

Observed exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.1 ns

Observed (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.1 ns

Observed (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=0.1 ns

Expected exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=1 ns

Expected (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=1 ns

Expected (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=1 ns

Observed exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=1 ns

Observed (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=1 ns

Observed (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=1 ns

Expected exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=10 ns

Expected (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=10 ns

Expected (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=10 ns

Observed exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=10 ns

Observed (+1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=10 ns

Observed (-1 sigma) exclusion limits at 95% CL on the mass of the gluino and neutralino in strong gluino pair production models and tau(chi0)=10 ns

Exclusion limits at 95% CL on the production cross section in the strong gluino pair production models and m($ ilde{\chi}^0_1$)=1.25 TeV

Acceptance cutflow for the High-pT SR for representative points in the strong gluino pair production model. See additional resources for more information.

Acceptance cutflow for the Trackless SR for representative points in the electroweak pair production model. See additional resources for more information.

Acceptance cutflow for the Trackless SR for representative points in the electroweak pair production model with heavy-flavor quarks final state. See additional resources for more information.

Acceptance cutflow for the High-pT SR for representative points in the electroweak pair production model with heavy-flavor quarks final state. See additional resources for more information.

Reinterpretation Material: Event-level Efficiency for HighPt SR selections, R < 1150 mm

Reinterpretation Material: Event-level Efficiency for HighPt SR selections, R [1150, 3870] mm

Reinterpretation Material: Event-level Efficiency for HighPt SR selections, R > 3870 mm

Reinterpretation Material: Event-level Efficiency for Trackless SR selections, R < 1150 mm

Reinterpretation Material: Event-level Efficiency for Trackless SR selections, R [1150, 3870] mm

Reinterpretation Material: Event-level Efficiency for Trackless SR selections, R > 3870 mm

Reinterpretation Material: Vertex-level Efficiency for R < 22 mm

Reinterpretation Material: Vertex-level Efficiency for R [22, 25] mm

Reinterpretation Material: Vertex-level Efficiency for R [25, 29] mm

Reinterpretation Material: Vertex-level Efficiency for R [29, 38] mm

Reinterpretation Material: Vertex-level Efficiency for R [38, 46] mm

Reinterpretation Material: Vertex-level Efficiency for R [46, 73] mm

Reinterpretation Material: Vertex-level Efficiency for R [73, 84] mm

Reinterpretation Material: Vertex-level Efficiency for R [84, 111] mm

Reinterpretation Material: Vertex-level Efficiency for R [111, 120] mm

Reinterpretation Material: Vertex-level Efficiency for R [120, 145] mm

Reinterpretation Material: Vertex-level Efficiency for R [145, 180] mm

Reinterpretation Material: Vertex-level Efficiency for R [180, 300] mm

Cutflow (acceptance x efficiency) for the High-pT SR for representative points in the strong gluino pair production model. See additional resources for more information.

Cutflow (acceptance x efficiency) for the Trackless SR for representative points in the electroweak pair production model. See additional resources for more information.

Cutflow (acceptance x efficiency) for the Trackless SR for representative points in the electroweak pair production model with heavy-flavor quarks. See additional resources for more information.

Cutflow (acceptance x efficiency) for the High-pT SR for representative points in the electroweak pair production model with heavy-flavor quarks. See additional resources for more information.

The ratio of data to the sum of the SM backgrounds. The uncertainties of simulated data are only the statistical unvertainty in the simulation predictions.

Distribution of $p_{T}^{miss}$ after the preselection from 2017 data (black points) and simulation (colored lines). The simulated distribution of two signal points are represented by colored lines, while not being stacked on the background distributions: $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ = (500, 490) and (500, 420) GeV. The last bin includes the overflow events.

The ratio of data to the sum of the SM backgrounds. The uncertainties of simulated data are only the statistical unvertainty in the simulation predictions.

Distribution of $p_{T}^{miss}$ after the preselection from 2018 data (black points) and simulation (colored lines). The simulated distribution of two signal points are represented by colored lines, while not being stacked on the background distributions: $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ = (500, 490) and (500, 420) GeV. The last bin includes the overflow events.

The ratio of data to the sum of the SM backgrounds. The uncertainties of simulated data are only the statistical unvertainty in the simulation predictions.

Distribution of $N_{Jet}$ after the preselection from 2017 data (black points) and simulation (colored lines). The simulated distribution of two signal points are represented by colored lines, while not being stacked on the background distributions: $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ = (500, 490) and (500, 420) GeV. The last bin includes the overflow events.

The ratio of data to the sum of the SM backgrounds. The uncertainties of simulated data are only the statistical unvertainty in the simulation predictions.

Distribution of $N_{Jet}$ after the preselection from 2018 data (black points) and simulation (colored lines). The simulated distribution of two signal points are represented by colored lines, while not being stacked on the background distributions: $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ = (500, 490) and (500, 420) GeV. The last bin includes the overflow events.

The ratio of data to the sum of the SM backgrounds. The uncertainties of simulated data are only the statistical unvertainty in the simulation predictions.

Simulated distribution of $p_{T}(l)$ after the preselection. The total background distribution and the signal distributions are all normalized to unit area. The signal distributions are given for a top squark mass of 300 GeV and $\Delta {m}=10$, 30,50, and 80 GeV.

Simulated distribution of $p_{T}(l)$ after the preselection. The total background distribution and the signal distributions are all normalized to unit area. The signal distributions are shown for four different $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ values, all corresponding to the same $\Delta {m} = 30$ GeV.

Simulated distribution of $p_{T}^{miss}$ after the preselection. The total background distribution and the signal distributions are all normalized to unit area. The signal distributions are given for a top squark mass of 300 GeV and $\Delta {m}=10$, 30,50, and 80 GeV.

Simulated distribution of $p_{T}^{miss}$ after the preselection. The total background distribution and the signal distributions are all normalized to unit area. The signal distributions are shown for four different $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ values, all corresponding to the same $\Delta {m} = 30$ GeV.

Simulated distribution of $N_{Jet}$ after the preselection. The total background distribution and the signal distributions are all normalized to unit area. The signal distributions are given for a top squark mass of 300 GeV and $\Delta {m}=10$, 30,50, and 80 GeV.

Simulated distribution of $N_{Jet}$ after the preselection. The total background distribution and the signal distributions are all normalized to unit area. The signal distributions are shown for four different $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ values, all corresponding to the same $\Delta {m} = 30$ GeV.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 10$ GeV for 2017 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 20$ GeV for 2017 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 30$ GeV for 2017 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 40$ GeV for 2017 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 50$ GeV for 2017 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 60$ GeV for 2017 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 70$ GeV for 2017 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 80$ GeV for 2017 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 10$ GeV for 2018 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 20$ GeV for 2018 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 30$ GeV for 2018 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 40$ GeV for 2018 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 50$ GeV for 2018 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 60$ GeV for 2018 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 70$ GeV for 2018 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

BDT output distributions from data (black points) and simulation (colored lines) after the preselection for $\Delta {m} = 80$ GeV for 2018 data. The last bin corresponds to the SR. A representative $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ signal point is also presented, while not added to the SM background.

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

Distribution of $p_{T}(l)$ for $\Delta {m} = 10$ in the VR where $200 < p_{T}^{miss} < 280$ GeV from 2017 data (black points) and simulation (colored lines). The predicted signal distribution is shown for $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ = (475, 465).

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

Distribution of $p_{T}(l)$ for $\Delta {m} = 10$ in the VR where $200 < p_{T}^{miss} < 280$ GeV from 2018 data (black points) and simulation (colored lines). The predicted signal distribution is shown for $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ = (475, 465).

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

Distribution of BDT for $\Delta {m} = 10$ in the VR where $200 < p_{T}^{miss} < 280$ GeV from 2017 data (black points) and simulation (colored lines). The predicted signal distribution is shown for $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ = (475, 465).

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

Distribution of BDT for $\Delta {m} = 10$ in the VR where $200 < p_{T}^{miss} < 280$ GeV from 2018 data (black points) and simulation (colored lines). The predicted signal distribution is shown for $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ = (475, 465).

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

Distribution of $p_{T}^{miss}$ for $\Delta {m} = 60$ in the VR where $p_{T}(l) > 30$ GeV from 2017 data (black points) and simulation (colored lines). The predicted signal distribution is shown for $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ = (576, 516).

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

Distribution of $p_{T}^{miss}$ for $\Delta {m} = 60$ in the VR where $p_{T}(l) > 30$ GeV from 2018 data (black points) and simulation (colored lines). The predicted signal distribution is shown for $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ = (576, 516).

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

Distribution of BDT for $\Delta {m} = 60$ in the VR where $p_{T}(l) > 30$ GeV from 2017 data (black points) and simulation (colored lines). The predicted signal distribution is shown for $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ = (576, 516).

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

Distribution of BDT for $\Delta {m} = 60$ in the VR where $p_{T}(l) > 30$ GeV from 2018 data (black points) and simulation (colored lines). The predicted signal distribution is shown for $(m(\mathrm{\widetilde{t}}_{1}),m(\widetilde{\chi}^{0}_{1}))$ = (576, 516).

The ratio of data to the sum of the SM backgrounds. Only the statistical uncertainty in the data and the simulated background are represented.

Data yield and prediction of the total background and its composition in the eight SRs as defined in for the 2017 analysis. The predictions of W + jets, ttbar, and nonprompt lepton processes are based on data, while those of rare backgrounds are based on simulation. The predictions and their associated uncertainties are pre-fit. The uncertainties are the quadratic sum of the statistical and systematic uncertainties for background processes predicted from data, and the uncertainties on the cross section for the backgrounds predicted from simulation. The yields for two signal points, with $\Delta {m} = 10$ GeV and $\Delta {m} = 80$ GeV, are also shown. The bins corresponding to different $\Delta {m}$ trainings are not statistically independent.

The ratio of the number of observed events over the predicted total background per SR.

Data yield and prediction of the total background and its composition in the eight SRs as defined in for the 2018 analysis. The predictions of W + jets, ttbar, and nonprompt lepton processes are based on data, while those of rare backgrounds are based on simulation. The predictions and their associated uncertainties are pre-fit. The uncertainties are the quadratic sum of the statistical and systematic uncertainties for background processes predicted from data, and the uncertainties on the cross section for the backgrounds predicted from simulation. The yields for two signal points, with $\Delta {m} = 10$ GeV and $\Delta {m} = 80$ GeV, are also shown. The bins corresponding to different $\Delta {m}$ trainings are not statistically independent.

The ratio of the number of observed events over the predicted total background per SR.

Exclusion limit at 95% CL for the four-body decay of the top squark as a function of $m(\mathrm{\widetilde{t}}_{1})$ and $\Delta {m}$, for the combined data of the years 2016, 2017, and 2018. The lines represent the observed limits. These limits are derived using the expected top squark pair production cross section. The green line represents the central values, and the other lines the variations due to the theoretical or experimental uncertainties.

Exclusion limit at 95% CL for the four-body decay of the top squark as a function of $m(\mathrm{\widetilde{t}}_{1})$ and $\Delta {m}$, for the combined data of the years 2016, 2017, and 2018. The lines represent the expected limits. These limits are derived using the expected top squark pair production cross section. The green line represents the central values, and the other lines the variations due to the theoretical or experimental uncertainties.

Exclusion limit at 95% CL for the four-body decay of the top squark as a function of $m(\mathrm{\widetilde{t}}_{1})$ and $\Delta {m}$, for the combined data of the years 2016, 2017, and 2018.

Left panel.The vertical bars (boxes) represent the statistical (bin-to-bin systematic) uncertainties, while the horizontal bars give the bin widths. The global uncertainty (of 5.7%) is not graphically represented. The blue line represents the average of all the points. $ 12 < \mathrm{B} \, p_T < 70$ GeV and $ 0 < |y| < 2.4 $. Global uncertanties are not included in the table (5.7%)

Right panel.The vertical bars (boxes) represent the statistical (bin-to-bin systematic) uncertainties, while the horizontal bars give the bin widths. The global uncertainty (of 5.7%) is not graphically represented. The blue line represents the average of all the points. $ 12 < \mathrm{B} \, p_T < 70$ GeV and $ 0 < |y| < 2.4 $. Global uncertanties are not included in the table (5.7%)

The distributions of the transfer factor ($\alpha$) versus $m_T$ in the HP VBF category is shown. The last bin corresponds to the value obtained by integrating events above the penultimate bin.

The distributions of the transfer factor ($\alpha$) versus $m_T$ in the HP ggF/DY category is shown. The last bin corresponds to the value obtained by integrating events above the penultimate bin.

The distributions of the transfer factor ($\alpha$) versus $m_T$ in the LP VBF category is shown. The last bin corresponds to the value obtained by integrating events above the penultimate bin.

The distributions of the transfer factor ($\alpha$) versus $m_T$ in the LP ggF/DY category is shown. The last bin corresponds to the value obtained by integrating events above the penultimate bin.

Distributions of mT for high-purity ggF/DY CR events after performing background-only fits. The last bin corresponds to the yields integrated above the penultimate bin. Both the ggF and VBF-produced 1 TeV graviton signals (normalized to 10 fb) are shown in the plot. Nonresonant background corresponds to the Z+jets and W+jets events. Resonant background corresponds to the ttbar, single top, and di/tri-boson events.

Distributions of mT for high-purity VBF CR events after performing background-only fits. The last bin corresponds to the yields integrated above the penultimate bin. Both the ggF and VBF-produced 1 TeV graviton signals (normalized to 10 fb) are shown in the plot. Nonresonant background corresponds to the Z+jets and W+jets events. Resonant background corresponds to the ttbar, single top, and di/tri-boson events.

Distributions of mT for low-purity ggF/DY CR events after performing background-only fits. The last bin corresponds to the yields integrated above the penultimate bin. Both the ggF and VBF-produced 1 TeV graviton signals (normalized to 10 fb) are shown in the plot. Nonresonant background corresponds to the Z+jets and W+jets events. Resonant background corresponds to the ttbar, single top, and di/tri-boson events.

Distributions of mT for low-purity VBF CR events after performing background-only fits. The last bin corresponds to the yields integrated above the penultimate bin. Both the ggF and VBF-produced 1 TeV graviton signals (normalized to 10 fb) are shown in the plot. Nonresonant background corresponds to the Z+jets and W+jets events. Resonant background corresponds to the ttbar, single top, and di/tri-boson events.

Distributions of mT for high-purity ggF/DY SR events after performing background-only fits. The last bin corresponds to the yields integrated above the penultimate bin. Both the ggF and VBF-produced 1 TeV graviton signals (normalized to 10 fb) are shown in the plot. Nonresonant background corresponds to the Z+jets and W+jets events. Resonant background corresponds to the ttbar, single top, and di/tri-boson events.

Distributions of mT for high-purity VBF SR events after performing background-only fits. The last bin corresponds to the yields integrated above the penultimate bin. Both the ggF and VBF-produced 1 TeV graviton signals (normalized to 10 fb) are shown in the plot. Nonresonant background corresponds to the Z+jets and W+jets events. Resonant background corresponds to the ttbar, single top, and di/tri-boson events.

Distributions of mT for low-purity ggF/DY SR events after performing background-only fits. The last bin corresponds to the yields integrated above the penultimate bin. Both the ggF and VBF-produced 1 TeV graviton signals (normalized to 10 fb) are shown in the plot. Nonresonant background corresponds to the Z+jets and W+jets events. Resonant background corresponds to the ttbar, single top, and di/tri-boson events.

Distributions of mT for low-purity VBF SR events after performing background-only fits. The last bin corresponds to the yields integrated above the penultimate bin. Both the ggF and VBF-produced 1 TeV graviton signals (normalized to 10 fb) are shown in the plot. Nonresonant background corresponds to the Z+jets and W+jets events. Resonant background corresponds to the ttbar, single top, and di/tri-boson events.

Expected and observed 95% CL upper limits on the product of the radion (R) production (gluon-gluon fusion) cross section and the R -> ZZ branching fraction versus the radion mass.

Expected and observed 95% CL upper limits on the product of the radion (R) production (vector boson fusion) cross section and the R -> ZZ branching fraction versus the radion mass.

Expected and observed 95% CL upper limits on the product of the W' (W') production (Drell-Yan) cross section and the W' -> WZ branching fraction versus the W' mass.

Expected and observed 95% CL upper limits on the product of the W' (W') production (vector boson fusion) cross section and the W' -> WZ branching fraction versus the W' mass.

Expected and observed 95% CL upper limits on the product of the graviton (G) production (gluon-gluon fusion) cross section and the G -> ZZ branching fraction versus the graviton mass.

Expected and observed 95% CL upper limits on the product of the graviton (G) production (vector boson fusion) cross section and the G -> ZZ branching fraction versus the graviton mass.

Transverse-momentum distributions of (K*(892)0 + anti-K*(892)0)/2 in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 60.0-80.0%.

Transverse-momentum distributions of phi(1020) mesons in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 0.0-5.0%.

Transverse-momentum distributions of phi(1020) mesons in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 5.0-10.0%.

Transverse-momentum distributions of phi(1020) mesons in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 0.0-10.0%.

Transverse-momentum distributions of phi(1020) mesons in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 10.0-20.0%.

Transverse-momentum distributions of phi(1020) mesons in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 20.0-30.0%.

Transverse-momentum distributions of phi(1020) mesons in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 30.0-40.0%.

Transverse-momentum distributions of phi(1020) mesons in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 40.0-50.0%.

Transverse-momentum distributions of phi(1020) mesons in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 50.0-60.0%.

Transverse-momentum distributions of phi(1020) mesons in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 60.0-70.0%.

Transverse-momentum distributions of phi(1020) mesons in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 70.0-80.0%.

Transverse-momentum distributions of phi(1020) mesons in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 80.0-90.0%.

Mass of K*(892)0 mesons (combined with the antiparticle) as a function of pT for central (0-20%, first y column) and peripheral (60-80%, second y column) Pb-Pb collisions at sqrt(sNN)=2.76 TeV.

Width of K*(892)0 mesons (combined with the antiparticle) as a function of pT for central (0-20%, first y column) and peripheral (60-80%, second y column) Pb-Pb collisions at sqrt(sNN)=2.76 TeV.

Mass of phi(2010) mesons as a function of pT for central (0-10%, first y column) and peripheral (70-80%, second y column) Pb-Pb collisions at sqrt(sNN)=2.76 TeV. UPDATE (27 JAN 2015): replaced with the final published values.

Width of phi(1020) mesons as a function of pT for central (0-10%, first y column) and peripheral (70-80%, second y column) Pb-Pb collisions at sqrt(sNN)=2.76 TeV.

Yield (dN/dy) of (K*(892)0 + anti-K*(892)0)/2 for different centrality intervals in Pb-Pb collisions at sqrt(sNN)=2.76 TeV. In the table, the first systematic uncertainty is uncorrelated between centrality intervals, the second is the normalization uncertainty.

Yield (dN/dy) of phi(1020) mesons for different centrality intervals in Pb-Pb collisions at sqrt(sNN)=2.76 TeV. In the table, the first systematic uncertainty is uncorrelated between centrality intervals and the second is the normalization uncertainty.

Ratio of pT-integrated yields (K*(892)0 + anti-K*(892)0)/(2K-) for different centrality intervals in Pb-Pb collisions at sqrt(sNN)=2.76 TeV. The K- yields are taken from PRC 88, 044910 (2013). In the paper this ratio is plotted as a function of the cube root of the mid-rapidity charged-particle multiplicity density (dNch/deta)^1/3 values taken from PRL 106, 032301 (2011).

Ratio of pT-integrated yields phi(1020)/K- for different centrality intervals in Pb-Pb collisions at sqrt(sNN)=2.76 TeV. The K- yields are taken from PRC 88, 044910 (2013). In the paper this ratio is plotted as a function of the cube root of the mid-rapidity charged-particle multiplicity density (dNch/deta)^1/3 values taken from PRL 106, 032301 (2011).

Mean transverse momentum of K*(892)0 mesons (combined with the antiparticle) for different centrality intervals in Pb-Pb collisions at sqrt(sNN)=2.76 TeV. In the paper this ratio is plotted as a function of the <Npart> values (the mean number of participant nucleons per collision) taken from PRC 88, 044909 (2013).

Mean transverse momentum of phi(1020) mesons for different centrality intervals in Pb-Pb collisions at sqrt(sNN)=2.76 TeV. In the paper this ratio is plotted as a function of the <Npart> values (the mean number of participant nucleons per collision) taken from PRC 88, 044909 (2013).

pT-dependent ratio (Omega- + anti-Omega+)/phi(1020) in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 0.0-10.0%. The Omega pT distributions are taken from PLB 728, 216 (2013).

pT-dependent ratio (p + anti-p)/phi(1020) in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 0.0-10.0%.

pT-dependent ratio (p + anti-p)/phi(1020) in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 10.0-20.0%.

pT-dependent ratio (p + anti-p)/phi(1020) in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 20.0-40.0%.

pT-dependent ratio (p + anti-p)/phi(1020) in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 40.0-60.0%.

pT-dependent ratio (p + anti-p)/phi(1020) in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 60.0-80.0%.

pT-dependent ratio (p + anti-p)/phi(1020) in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 80.0-90.0%.

pT-dependent ratio phi(1020)/(pi+ + pi-) in Pb-Pb collisions at sqrt(sNN)=2.76 TeV, centrality 0.0-10.0%.

Enhancement ratio of phi(1020) for different centrality intervals in Pb-Pb collisions at sqrt(sNN)=2.76 TeV. The enhancement ratio is the ratio of the yield of a particle in A-A collisions to the yield of the particle in pp collisions, scaled by the average number of participant nucleons: Enhancement=[Yield(A-A)/<Npart(A-A)>]/[Yield(pp)/2]. The phi(1020) yield for pp collisions at sqrt(s)=2.76 TeV is interpolated between the measured yields at sqrt(s)=900 GeV and sqrt(s)=7 TeV. In the tables, the first systematic uncertainty is the uncorrelated uncertainty from the Pb-Pb data, the second is the normalization uncertainty from the Pb-Pb data, and the third is from the uncertainty in <Npart>. In the paper this ratio is plotted as a function of the <Npart> values taken from PRC 88, 044909 (2013).

Enhancement ratio of Lambda for different centrality intervals in Pb-Pb collisions at sqrt(sNN)=2.76 TeV. The enhancement ratio is the ratio of the yield of a particle in A-A collisions to the yield of the particle in pp collisions, scaled by the average number of participant nucleons: Enhancement=[Yield(A-A)/<Npart(A-A)>]/[Yield(pp)/2]. The Lambda yield for pp collisions at sqrt(s)=2.76 TeV is extrapolated from the measured yield at sqrt(s)=7 TeV. In the tables, the first systematic uncertainty is the uncertainty from the Pb-Pb data and the second is from the uncertainty in <Npart>. In the paper this ratio is plotted as a function of the <Npart> values taken from PRC 88, 044909 (2013).

Ratio of pT-integrated yields phi(1020)/(pi+ + pi-) for different centrality intervals in Pb-Pb collisions at sqrt(sNN)=2.76 TeV. The charged pion yields are taken from PRC 88, 044910 (2013). In the paper this ratio is plotted as a function of the <Npart> values taken from PRC 88, 044909 (2013).

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 0.15 GeV, for centrality 30-50%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 0.15 GeV, for centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 5 GeV, for centrality 0-10%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 5 GeV, for centrality 10-30%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 5 GeV, for centrality 30-50%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 5 GeV, for centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 10 GeV, for centrality 0-10%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 10 GeV, for centrality 10-30%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 10 GeV, for centrality 30-50%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 10 GeV, for centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Ratio of charged jet spectra with leading track selection of pT > 0.15 GeV to pT > 5 GeV using two cone radius parameters R = 0.2 and 0.3, for centrality 0-10%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Ratio of charged jet spectra with leading track selection of pT > 0.15 GeV to pT > 5 GeV using two cone radius parameters R = 0.2 and 0.3, for centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Ratio of charged jet spectra with leading track selection of pT > 10 GeV to pT > 5 GeV using two cone radius parameters R = 0.2 and 0.3, for centrality 0-10%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Ratio of charged jet spectra with leading track selection of pT > 10 GeV to pT > 5 GeV using two cone radius parameters R = 0.2 and 0.3, for centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 0.15 GeV. Central collisions are defined to have centrality 0-10% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 0.15 GeV. Central collisions are defined to have centrality 10-30% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 0.15 GeV. Central collisions are defined to have centrality 30-50% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 5 GeV. Central collisions are defined to have centrality 0-10% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 5 GeV. Central collisions are defined to have centrality 10-30% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 5 GeV. Central collisions are defined to have centrality 30-50% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 10 GeV. Central collisions are defined to have centrality 0-10% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 10 GeV. Central collisions are defined to have centrality 10-30% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 10 GeV. Central collisions are defined to have centrality 30-50% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, as a function of the average number of participants in the collision (<Npart>), for charged jets with pT = 60-70 GeV and either R = 0.2 or R = 0.3 and a leading charged particle with pT > 0.15 GeV. The correspondence between <Npart> and the centrality classes is given in Table 1 of the paper, and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, as a function of the average number of participants in the collision (<Npart>), for charged jets with pT = 60-70 GeV and either R = 0.2 or R = 0.3 and a leading charged particle with pT > 5 GeV. The correspondence between <Npart> and the centrality classes is given in Table 1 of the paper, and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, as a function of the average number of participants in the collision (<Npart>), for charged jets with pT = 60-70 GeV and either R = 0.2 or R = 0.3 and a leading charged particle with pT > 10 GeV. The correspondence between <Npart> and the centrality classes is given in Table 1 of the paper, and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Ratio of charged jet pT-spectra with radius parameter R = 0.2 and 0.3 and a leading charged particle with pT > 5 GeV, for two centrality classes 0-10% and 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

pT-differential invariant yield of charged pions in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of charged kaons in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of charged kaons in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of charged kaons in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of charged kaons in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of k0s in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of k0s in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of k0s in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of k0s in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of protons+antiprotons in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of protons+antiprotons in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of protons+antiprotons in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of protons+antiprotons in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of lambdas+antilambdas in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of lambdas+antilambdas in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of lambdas+antilambdas in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-differential invariant yield of lambdas+antilambdas in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-dependent charged kaon to charged pion production ratios in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-dependent charged kaon to charged pion production ratios in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-dependent charged kaon to charged pion production ratios in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-dependent charged kaon to charged pion production ratios in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-dependent proton+antiproton to charged pion production ratios in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-dependent proton+antiproton to charged pion production ratios in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-dependent proton+antiproton to charged pion production ratios in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-dependent proton+antiproton to charged pion production ratios in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-dependent lambda+antilambda to k0s production ratios in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-dependent lambda+antilambda to k0s production ratios in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-dependent lambda+antilambda to k0s production ratios in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

pT-dependent lambda+antilambda to k0s production ratios in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

Mean transverse momentum of lambdas+antilambdas in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

Mean transverse momentum of lambdas+antilambdas in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

Mean transverse momentum of protons+antiprotons in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

Mean transverse momentum of protons+antiprotons in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

Mean transverse momentum of k0s in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

Mean transverse momentum of k0s in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

Mean transverse momentum of charged kaons in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

Mean transverse momentum of charged kaons in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

Mean transverse momentum of charged pions in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

Mean transverse momentum of charged pions in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

Integrated production ratios in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

Integrated production ratios in pPb collisions with centre-of-mass energy/nucleon=5.02 TeV.

Integrated production yield of pions in pPb collisions at sqrts 5.02 TeV.

Integrated production yield of charged kaons in pPb collisions at sqrts 5.02 TeV.

Integrated production yield of K0S in pPb collisions at sqrts 5.02 TeV.

Integrated production yield of protons+antiprotons in pPb collisions at sqrts 5.02 TeV.

Integrated production yield of lambda+antilambda in pPb collisions at sqrts 5.02 TeV.

pT-differential production yields for Xi- and XiBar+ baryons with centrality 40-60%.

pT-differential production yields for Xi- and XiBar+ baryons with centrality 60-80%.

pT-differential production yields for Omega- and OmegaBar+ baryons with centrality 0-10%.

pT-differential production yields for Omega- and OmegaBar+ baryons with centrality 10-20%.

pT-differential production yields for Omega- and OmegaBar+ baryons with centrality 20-40%.

pT-differential production yields for Omega- and OmegaBar+ baryons with centrality 40-60%.

pT-differential production yields for Omega- and OmegaBar+ baryons with centrality 60-80%.

Total integrated mid-rapidity yields for multi-strange baryon production in Pb-Pb collisions at sqrt(sNN) = 2.76 TeV, for different centrality intervals. For each centrality interval the average number of participants, Npart, is also reported.

Enhancements with respect to pp collisions for multi-strange baryon production.

Ratios to pions for multi-strange baryons produced in pp collisions.

Ratios to pions for multi-strange baryons produced in Pb-Pb collisions.