Measured jet multiplicity distribution in the $W\mu\nu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured dilepton invariant mass distribution in the $Z\mu\mu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows. P P --> Z0 JET(S) X.

Measured $E_{T}^{miss}$ distribution in the $Z\mu\mu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows. P P --> Z0 JET(S) X.

Measured leading jet $p_{T}$ distribution in the $Z\mu\mu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows. P P --> Z0 JET(S) X.

Measured jet multiplicity distribution in the $Z\mu\mu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows. P P --> Z0 JET(S) X.

Measured transverse mass distribution in the $We\nu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured $E_{T}^{miss}$ distribution in the $We\nu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured leading jet $p_{T}$ distribution in the $We\nu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured jet multiplicity distribution in the $We\nu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured dilepton invariant mass distribution in the $Zee$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured $E_{T}^{miss}$ distribution in the $Zee$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured leading jet $p_{T}$ distribution in the $Zee$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured jet multiplicity distribution in the $Zee$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured distribution of the jet multiplicity for the SR1 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of $E_{T}^{miss}$ for the SR1 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of leading jet $p_{T}$ for the SR1 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of the leading jet $p_{T}$ to $E_{T}^{miss}$ ratio for the SR1 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of the jet multiplicity for SR7 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of the jet multiplicity for SR7 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of the leading jet $p_T$ for SR7 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of the leading jet $p_T$ for SR9 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of the leading jet $p_T$ to $E_{T}^{miss}$ ratio for SR7 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of the leading jet $p_T$ to $E_{T}^{miss}$ ratio for SR9 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Observed and expected 95$\%$ CL limit on the fundamental Planck scale in $4+n$ dimensions, $M_D$, as a function of the number of extra dimensions. In the figure the two results overlap. The shaded areas around the expected limit indicate the expected $\pm 1\sigma$ and $\pm 2\sigma$ ranges of limits in the absence of a signal. The 95$\%$ CL observed limits after the suppression of the events with $\hat{s} > M_D^2$ is applied (truncated) are also given.

Limits at 95% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the scalar operator D1. Results where EFT truncation is applied are also shown for couplings of 1 and the perturbative limit.

Limits at 95% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the vector operator D5. Results where EFT truncation is applied are also shown for couplings of 1 and the perturbative limit.

Limits at 95% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the axial vector operator D8. Results where EFT truncation is applied are also shown for couplings of 1 and the perturbative limit.

Limits at 95% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the tensor operator D9. Results where EFT truncation is applied are also shown for couplings of 1 and the perturbative limit.

Limits at 95% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the gluon operator D11. Results where EFT truncation is applied are also shown for couplings of 1 and the perturbative limit.

Limits at 95% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the gluon operator C5. Results where EFT truncation is applied are also shown for couplings of 1 and the perturbative limit.

Observed 95% CL limits on the suppression scale M* as a function of the mediator mass Mmed, assuming a Z'-like boson in a simplified model and a DM mass of 50 GeV and 400 GeV. The width of the mediator is varied between Mmed/3 and Mmed/8pi.

Observed 95% CL upper limits on the product of couplings of the simplified model vertex in the plane of mediator and WIMP mass (Mmed versus m_chi).

Upper limits at 90% C.L. on the WIMP-nucleon scattering cross section as a function of m_chi for spin-independent interactions, for a coupling strength of unity or the maximum value that keeps the model within its perturbative regime. The truncation procedure is applied for both cases.

Upper limits at 90% C.L. on the WIMP-nucleon scattering cross section as a function of m_chi for spin-dependent interactions, for a coupling strength of unity or the maximum value that keeps the model within its perturbative regime. The truncation procedure is applied for both cases.

Upper limits at 90% C.L. on the WIMP-nucleon annihilation cross section as a function of m_chi, for a coupling strength of unity or the maximum value that keeps the model within its perturbative regime. The truncation procedure is applied for both cases.

95$\%$ CL lower limits on the gravitino mass $m_{\tilde{G}}$ as a function of the squark mass $m_{\tilde{q}}$ for degenerate squark/gluino masses.

95$\%$ CL lower limits on the gravitino mass $m_{\tilde{G}}$ as a function of the squark mass $m_{\tilde{q}}$ for non-degenerate squark/gluino masses: $ m_{\tilde{g}} = 1/2 \times m_{\tilde{q}}$.

95$\%$ CL lower limits on the gravitino mass $m_{\tilde{G}}$ as a function of the squark mass $m_{\tilde{q}}$ for non-degenerate squark/gluino masses: $ m_{\tilde{g}} = 1/4 \times m_{\tilde{q}}$.

95$\%$ CL lower limits on the gravitino mass $m_{\tilde{G}}$ as a function of the squark mass $m_{\tilde{q}}$ for non-degenerate squark/gluino masses: $ m_{\tilde{g}} = 2 \times m_{\tilde{q}}$.

95$\%$ CL lower limits on the gravitino mass $m_{\tilde{G}}$ as a function of the squark mass $m_{\tilde{q}}$ for non-degenerate squark/gluino masses: $ m_{\tilde{g}} = 4 \times m_{\tilde{q}}$.

Observed and expected 95$\%$ CL upper limit on $\sigma \times {\rm{BR}}(H \to {\rm{invisible}})$ as a function of the Higgs boson mass.

Limits at 95% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the scalar operator C1. Results where EFT truncation is applied are also shown for couplings of 1 and the perturbative limit.

Reconstructed mass $m_\beta$ in observed data, background estimate and expected signal ($\tilde{\chi}^{\pm}_1$ masses of 400 and 600 GeV) in the chargino search for the lower of the two masses ($m$) in the two-candidate signal region.

Reconstructed mass $m_\beta$ in observed data, background estimate and expected signal ($\tilde{\chi}^{\pm}_1$ masses of 400 and 600 GeV) in the chargino search for the one-loose-candidate signal region.

Reconstructed mass $m_\beta$ in observed data, background estimate and expected signal ($\tilde{\chi}^{\pm}_1$ masses of 400 and 600 GeV) in the chargino search for the one-candidate signal region.

Data and background estimates for the reconstructed mass based on time-of-flight, $m_{\beta}$, for combined candidates in the full-detector 500 GeV gluino R-Hadron search (SR-RH-FD).

Data and background estimates for the reconstructed mass based on specific energy loss, $m_{\beta\gamma}$, for combined candidates in the full-detector 500 GeV gluino R-Hadron search (SR-RH-FD).

Data and background estimates for the reconstructed mass based on time-of-flight, $m_{\beta}$, for the MS-agnostic 500 GeV sbottom and $m_{\beta\gamma}$ R-Hadron search (SR-RH-MA).

Data and background estimates for the reconstructed mass based on specific energy loss, $m_{\beta\gamma}$, for the MS-agnostic 500 GeV stop R-Hadron search (SR-RH-MA).

Cross-section upper limits as a function of the mass of the lightest stau for the GMSB models with $\tan\beta = 10$. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the mass of the lightest stau for the GMSB models with $\tan\beta = 20$. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the mass of the lightest stau for the GMSB models with $\tan\beta = 30$. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the mass of the lightest stau for the GMSB models with $\tan\beta = 40$. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the mass of the lightest stau for the GMSB models with $\tan\beta = 50$. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Observed 95% CL exclusion contour for directly produced sleptons in the plane $\Delta=m(\tilde{\ell})-m(\tilde{\tau}_1)$ vs. $m(\tilde{\tau}_1)$.

Expected 95% CL exclusion contour for directly produced sleptons in the plane $\Delta=m(\tilde{\ell})-m(\tilde{\tau}_1)$ vs. $m(\tilde{\tau}_1)$.

Cross-section upper limits as a function of the $\tilde{\tau}_1$ mass for direct $\tilde{\tau}_1$ production and three values of $\tan\beta$. Expected limits for $\tan\beta=10$ with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties observed limits for three values of $\tan\beta$ and theoretical cross-section prediction for $\tan\beta=10$ with $\pm 1\sigma$ band.

Cross-section upper limits as a function of the $\tilde{\chi}_1$ mass for $\tilde{\tau}_1$ sleptons resulting from the decay of directly produced charginos and neutralinos in GMSB. Observed limits, expected limits for $\tan\beta=10$ with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties and theoretical cross-section prediction (dominated by $\tilde{\chi}^0_1 \tilde{\chi}^+_1$ production) with $\pm 1\sigma$ uncertainty. Depending on the hypothesis and to a small extent on $\tan\beta$, in these models, the chargino mass is 210 to 260 GeV higher than the neutralino mass.

Observed 95% CL exclusion contour for the LeptoSUSY model.

Expected 95% CL exclusion contour for the LeptoSUSY model.

Cross-section upper limits for various chargino masses in stable-chargino models. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the gluino R-Hadron models for the MS-agnostic search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the gluino R-Hadron models for the full-detector search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the sbottom R-Hadron models for the MS-agnostic search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the sbottom R-Hadron models for the full-detector search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the stop R-Hadron models for the MS-agnostic search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the stop R-Hadron models for the full-detector search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Summary of systematic uncertainties for the slepton searches (given in percent). Ranges indicate a mass dependence for the given uncertainty (low mass to high mass).

Summary of systematic uncertainties for the chargino and R-Hadron searches (given in percent). Ranges indicate a mass dependence for the given uncertainty (low mass to high mass).

Observed and expected event yields, as well as efficiencies and uncertainties for three MC simulation signal samples, in the two signal regions used in the GMSB slepton search. Cross-section upper limits are stated at 95% CL.

Observed and expected event yields, as well as efficiencies and uncertainties for three MC simulation signal samples, in the three signal regions used in the LeptoSUSY slepton search. Cross-section upper limits are stated at 95% CL.

Observed and expected event yields, as well as efficiencies and uncertainties for three MC simulation signal samples, in the three signal regions used in the chargino search. Cross-section upper limits are stated at 95% CL.

Observed and expected event yields, as well as efficiencies and uncertainties for three MC simulation signal samples, in the R-Hadron searches. Cross-section upper limits are stated at 95% CL.

Mass of the $\tilde{\tau}_1$; cross-section; minimum $p_T$, maximum $\beta$ and minimum $m_{\beta}$ requirements; expected number of signal events (exp.); signal selection efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for the two signal regions used in the GMSB slepton search.

Mass of the $\tilde{\tau}_1$; cross-section; minimum \pt, maximum $\beta$ and minimum $m_{\beta}$ requirements; expected number of signal events (exp.); signal selection efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for the two signal regions used in the directly produced $\tilde{\tau}_1$ search.

Masses of the $\tilde{g}$ and $\tilde{q}$; cross-section; minimum \pt, maximum $\beta$ and minimum $m_{\beta}$ requirements; expected number of signal events (exp.); signal selection efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for the two signal regions used in the LeptoSUSY search.

Slepton search candidate requirements and example candidate selection flow for loose and tight selections.

Mass of the $\tilde{\chi}^{\pm}_{1}$; cross-section; minimum $p_T$, maximum $\beta$ and minimum $m_{\beta}$ requirements; expected number of signal events (exp.); signal selection efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for the three signal regions used in the chargino search.

Chargino search candidate requirements and example candidate selection flow for the total production as well as chargino-neutralino (CN) and chargino-pair (CC) production separately.

Mass of the LLP; cross-section; minimum $p$, maximum $\beta\gamma$, maximum $\beta$, minimum $m_{\beta\gamma}$ and minimum $m_{\beta}$ requirements; expected signal (exp.); signal efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for all R-Hadron models considered in the R-Hadron MS-agnostic (SR-RH-MA) search.

Mass of the LLP; cross-section; minimum $p$, maximum $\beta\gamma$, maximum $\beta$, minimum $m_{\beta\gamma}$ and minimum $m_{\beta}$ requirements; expected signal (exp.); signal efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for all R-Hadron models considered in the R-Hadron full-detector (SR-RH-FD) search. In cases where two numbers are stated, these reflect the values in the ID+calorimeter and combined selection, respectively, used in this search.

Muon-agnostic search R-Hadron candidate requirements and example candidate selection flow for ID+calorimeter selection.

Full-detector search R-Hadron candidate requirements and example candidate selection flow for combined selection.

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Distribution of ETmiss in the signal region for data and for the background predicted from the fit in the CRs. Overflows are included in the final bin.

Limits at 90% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the vector operator D5. Results where EFT truncation is applied are also shown, assuming coupling values sqrt(g_f g_chi)= 1, 4pi.

Limits at 90% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the axial-vector operator D8. Results where EFT truncation is applied are also shown, assuming coupling values sqrt(g_f g_chi)= 1, 4pi.

Limits at 90% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the tensor operator D9. Results where EFT truncation is applied are also shown, assuming coupling values sqrt(g_f g_chi)= 1, 4pi.

Upper limits at 90% C.L. on the WIMP-nucleon scattering cross section as a function of m_chi for spin-independent and spin-dependent interactions, for a coupling strength g = sqrt(g_f g_chi) of unity or the maximum value (4 pi) that keeps the model within its perturbative regime. The truncation procedure is applied for both cases.

Upper limits at 95% C.L. on the WIMP simplified model coupling parameter, sqrt(g_f g_chi), with vector coupling and mediator width Gamma=m_V/3, as a function of WIMP (m_chi) and the mediator particle (m_V) masses.

Observed lower limits at 95% C.L. on the EFT suppression scale M* as a function of the mediator mass mV, for a Z'-like mediator with vector interactions. For a dark-matter mass m_chi of 50 or 400 GeV, results are shown for different values of the mediator total decay width Gamma.

Observed lower limits at 95% C.L. on the EFT suppression scale M* as a function of the mediator mass mV, for a Z'-like mediator with axial-vector interactions. For a dark-matter mass m_chi of 50 or 400 GeV, results are shown for different values of the mediator total decay width Gamma.

Limits at 95% C.L. on the effective mass scale M* in the (k2, k1) parameter plane for the s-channel EFT model inspired by Fermi-LAT gamma-ray line, for m_chi = 130 GeV. The upper part of the plane is excluded.

Lower limits at 95% C.L. on the mass scale M_D in the ADD models of large extra dimensions, for several values of the number of extra dimensions.

Upper limits at 95% C.L. on the cross section for the compressed squark model, as a function of the squark mass, m_squark, and of the difference between the squark mass and the mass of the neutralino, m_squark-m_neutralino, in the compressed region of m_squark-m_neutralino < 50 GeV.

Expected and observed 95% CL cross section exclusion contours for top squark pair production in the plane of top squark lifetime ($c\tau$) and top squark mass. These limits assume a branching fraction of 100\% through the RPV vertex $\tilde{t}$ $\to$ b l, where the branching fraction to any lepton flavor is equal to 1/3. As indicated in the plot, the region to the left of the contours is excluded by this search.

Electron reconstruction efficiency as function of its tranverse impact parameter, $d_0$.

Muon reconstruction efficiency as function of its tranverse impact parameter, $d_0$.

Electron selection efficiency as function of its tranverse momentum, $p_T$.

Muon selection efficiency as function of its tranverse momentum, $p_T$.

$v_{2,2}^{unsub}$ and $v_{2,2}$ as a function of $\Delta\eta$ calculated from the 2-D per-trigger yields in figure 4(a) and 4(b), respectively.

$v_{3,3}^{unsub}$ and $v_{3,3}$ as a function of $\Delta\eta$ calculated from the 2-D per-trigger yields in figure 4(a) and 4(b), respectively.

$v_{4,4}^{unsub}$ and $v_{4,4}$ as a function of $\Delta\eta$ calculated from the 2-D per-trigger yields in figure 4(a) and 4(b), respectively.

The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.

The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.

The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.

The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.

The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.

The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.

The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.

Integrated per-trigger yield, $Y_{int}$, on the near-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.

Integrated per-trigger yield, $Y_{int}$, on the near-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.

Integrated per-trigger yield, $Y_{int}$, on the near-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.

Integrated per-trigger yield, $Y_{int}$, on the near-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.

Integrated per-trigger yield, $Y_{int}$, on the near-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.

Integrated per-trigger yield, $Y_{int}$, on the away-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.

Integrated per-trigger yield, $Y_{int}$, on the away-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.

Integrated per-trigger yield, $Y_{int}$, on the away-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.

Integrated per-trigger yield, $Y_{int}$, on the away-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.

Integrated per-trigger yield, $Y_{int}$, on the away-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.

The integrated per-trigger yield, Y_{int}, on the near-side, the away-side and their difference and Y_{int} from the recoil as a function of event activity. Errors are statistical.

The integrated per-trigger yield, Y_{int}, on the near-side, the away-side and their difference and Y_{int} from the recoil as a function of event activity. Errors are statistical.

The Fourier coefficients $v_{n}$ as a function of $p_{T}^{a}$ extracted from the correlation functions, before and after the subtraction of the recoil component.

The Fourier coefficients $v_{n}$ as a function of $p_{T}^{a}$ extracted from the correlation functions, before and after the subtraction of the recoil component.

The Fourier coefficients $v_{n}$ as a function of $p_{T}^{a}$ extracted from the correlation functions, before and after the subtraction of the recoil component.

$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.

$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.

$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.

$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.

$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.

$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.

The centrality dependence of $v_{2}$ as a function of $N_{ch}^{rec}$. Values from before and after the recoil subtraction are included.

The centrality dependence of $v_{3}$ as a function of $N_{ch}^{rec}$. Values from before and after the recoil subtraction are included.

The centrality dependence of $v_{4}$ as a function of $N_{ch}^{rec}$. Values from before and after the recoil subtraction are included.

The centrality dependence of $v_{2}$ as a function of $E_{T}^{Pb}$. Values from before and after the recoil subtraction are included.

The centrality dependence of $v_{3}$ as a function of $E_{T}^{Pb}$. Values from before and after the recoil subtraction are included.

The centrality dependence of $v_{4}$ as a function of $E_{T}^{Pb}$. Values from before and after the recoil subtraction are included.

The $v_{2}$ as a function of $E_{T}^{Pb}$ obtained indirectly by mapping from the $N_{ch}^{rec}-dependence of $v_{2}$ using the correlation data shown in Fig. 2(b).

The $v_{3}$ as a function of $E_{T}^{Pb}$ obtained indirectly by mapping from the $N_{ch}^{rec}-dependence of $v_{3}$ using the correlation data shown in Fig. 2(b).

The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.

The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.

The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.

The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.

The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.

The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.

The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.

The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.

The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.

The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.

The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.

The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.

The first-order harmonic $v_1$ obtained using factorization from $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.

The first-order harmonic $v_1$ obtained using factorization from $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.

The first-order harmonic $v_1$ obtained using factorization from $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.

$v_{2}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method.

$v_{2}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method, after the scaling.

$v_{3}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method.

$v_{3}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method, after the scaling.

$v_{4}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method.

$v_{4}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method, after the scaling.

Correlation between $E_{T}^{FCal}$ and $N_{ch}^{rec}$ for MB events (without weighting) and MB+HMT events (with weighting), errors are statistical.

Differential production yield per binary collision for $W^{-}$ bosons as a function of $|\eta_\ell|$.

The lepton charge asymmetry $A_{\ell}$ from $W^\pm$ bosons as a function of absolute pseudorapidity.

Selection acceptance times efficiency as a function of WPRIME mass at truth level for left- and right-handed WPRIME MC. The total efficiency curves correspond to the sum of the efficiencies of the one b-tag and two b-tag categories.

Cutflow (efficiency with respect to total number of events in %) for several WPRIME masses in the left-handed and in the right-handed model for hadronic top-quark decays.

Overview of the signal acceptance times efficiency (A x Eff) for the hadronic top-quark decay for both categories, the predicted cross section times branching ratio to TOP BOTTOM, as well as the observed 95% CL limit on the cross section times branching ratio for several WPRIME masses in the left-handed and in the right-handed model. The expected signal event yields in the two categories for 20.3 fb-1 of 8 TeV data are also shown.

Selection efficiencies in % for the signal in the top squark search, estimated from the simulation.

The final $S_{\text{T}}$ distribution for the leptoquark search with the $\text{e}\tau_{\text{h}}$ and $\mu\tau_{\text{h}}$ channels combined. The last bin contains the overflow events.

The final $S_{\text{T}}$ distribution for the top squark search with the $\text{e}\tau_{\text{h}}$ and $\mu\tau_{\text{h}}$ channels combined. The last bin contains the overflow events.

The expected and observed combined upper limits on the third-generation LQ pair production cross section $\sigma$ times the square of the branching fraction, $\mathcal{B}^2$, at 95% CL, as a function of the LQ mass. These limits also apply to top squarks decaying directly via the coupling $\lambda^{\prime}_{333}$.

The expected and observed combined upper limits on the top squark pair production cross section $\sigma$ times the square of the branching fraction, $\mathcal{B}^2$, at 95% CL, as a function of the top squark mass. These limits apply to top squarks with a chargino-mediated decay through the coupling $\lambda^{\prime}_{3jk}$.

The expected and observed 95% CL upper limits on the branching fraction for the leptoquark decay to a tau lepton and a bottom quark, as a function of the leptoquark mass. A search for top squark pair production [EPJC 73(2013)2677] has the same kinematic signature as the leptoquark decay to a tau neutrino and a top quark. This search is reinterpreted to provide the expected and observed 95% CL upper limits for low values of $\mathcal{B}$, assuming the leptoquark only decays to third-generation fermions.