Expected and observed event yields for signal regions with at least 7 jets as a function of transverse momentum requirements.

Expected and observed event yields for signal regions with at least 7 jets with at least 1 b-tag as a function of transverse momentum requirements.

Expected and observed event yields for signal regions with at least 7 jets with at least 2 b-tags as a function of transverse momentum requirements.

Table showing the predicted yields in the SM and observed number of events in SR1 as well as all signal mass points.

Table showing the predicted yields in the SM and observed number of events in SR100 as well as three representative signal scenarios.

Table showing the predicted yields in the SM and observed number of events in SR250 as well as three representative signal scenarios.

Expected 95% CL exclusion contour using the best expected limit from SR100 or SR250.

Observed 95% CL exclusion contour using the best expected limit from SR100 or SR250.

Expected 95% CL exclusion contour using the best expected limit from the jet-counting analysis when using signal regions without b-tag requirements.

Observed 95% CL exclusion contour using the best expected limit from the jet-counting analysis when using signal regions without b-tag requirements.

Expected 95% CL exclusion contour using the best expected limit from the jet-counting analysis when allowing b-tags.

Observed 95% CL exclusion contour using the best expected limit from the jet-counting analysis when allowing b-tags.

Observed cross-section exclusion in units of pb at 95% C.L., in the gluino/neutralino mass plane, for the resolved analysis when b-tags are not allowed.

Observed cross-section exclusion in units of pb at 95% C.L., in the gluino/neutralino mass plane, for the resolved analysis when b-tags are allowed.

Observed cross-section exclusion in units of pb at 95% C.L., in the gluino/neutralino mass plane, for the merged analysis, when SR1 is used for each mass point.

Expected exclusion contour at 95% C.L., in the gluino/neutralino mass plane, for the merged analysis, when SR1 is used for each mass point.

Observed exclusion contour at 95% C.L., in the gluino/neutralino mass plane, for the merged analysis, when SR1 is used for each mass point.

Observed cross-section exclusion in units of pb at 95% C.L., in the gluino/neutralino mass plane, for the merged analysis, when SR100 is used for each mass point.

Expected exclusion contour at 95% C.L., in the gluino/neutralino mass plane, for the merged analysis, when SR100 is used for each mass point.

Observed exclusion contour at 95% C.L., in the gluino/neutralino mass plane, for the merged analysis, when SR100 is used for each mass point.

Observed cross-section exclusion in units of pb at 95% C.L., in the gluino/neutralino mass plane, for the merged analysis, when SR250 is used for each mass point.

Expected exclusion contour at 95% C.L., in the gluino/neutralino mass plane, for the merged analysis, when SR250 is used for each mass point.

Observed exclusion contour at 95% C.L., in the gluino/neutralino mass plane, for the merged analysis, when SR250 is used for each mass point.

Observed cross-section exclusion in units of pb at 95% C.L., in the gluino/neutralino mass plane, for the merged analysis, when the best SR is used for each mass point.

Acceptance times efficiency in the gluino/neutralino mass plane, when SR1 is used in each point.

Signal acceptance times efficiency for signal regions with at least 7 jets as a function of transverse momentum requirements.

Signal acceptance times efficiency for signal regions with at least 7 jets with at least 1 b-tag as a function of transverse momentum requirements.

Signal acceptance times efficiency for signal regions with at least 7 jets with at least 2 b-tags as a function of transverse momentum requirements.

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.

Distribution of the transverse mass of the $W$-candidate $m_{\rm T}^{W}$ for the one lepton and two $b$-jets channel in SRlbb-1 and SRlbb-2, $m_{bb}$ sidebands. The background histograms are obtained from the background-only fit, and their uncertainty represents the total background uncertainty after the fit. The last bin includes overflow.

Distribution of the number of $b$-jets for the one lepton and two $b$-jets channel in SRlbb-1 and SRlbb-2 without the b-jet multiplicity requirement, central $m_{bb}$ bin. The background histograms are obtained from the background-only fit, and their uncertainty represents the total background uncertainty after the fit.

Distribution of the invariant mass of the $b$-jets $m_{bb}$ for the one lepton and two $b$-jets channel in the SRlbb-1 and SRlbb-2. The background histograms are obtained from the background-only fit, and their uncertainty represents the total background uncertainty after the fit.

Distribution of missing transverse momentum $E_{\rm T}^{\rm miss}$ in the one lepton and two photons signal regions SR$\ell\gamma\gamma$-1 and SR$\ell\gamma\gamma$-2 for the Higgs-mass window ($120\lt m_{\gamma\gamma} \lt 130$ GeV). The final column (background) is a simulation-based cross check. The contributions from non-Higgs backgrounds are scaled by 10 GeV / 50 GeV = 0.2 from the $m_{\gamma\gamma}$ sideband ($100 \lt m_{\gamma\gamma} \lt 120$ GeV and $130 \lt m_{\gamma\gamma} \lt 160$ GeV) into the Higgs-mass window. The last bin includes overflow. The distributions of a signal hypothesis are also shown for $m(\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2},\tilde{\chi}^{0}_{1})=(165,35)$ GeV.

Distribution of the azimuth difference between the $W$ and Higgs boson candidates $\Delta\phi(W,h)$ in the one lepton and two photons signal regions SR$\ell\gamma\gamma$-1 and SR$\ell\gamma\gamma$-2 for the Higgs-mass window ($120\lt m_{\gamma\gamma} \lt 130$ GeV). The final column (background) is a simulation-based cross check. The contributions from non-Higgs backgrounds are scaled by 10 GeV / 50 GeV = 0.2 from the $m_{\gamma\gamma}$ sideband ($100 \lt m_{\gamma\gamma} \lt 120$ GeV and $130 \lt m_{\gamma\gamma} \lt 160$ GeV) into the Higgs-mass window. The distributions of a signal hypothesis are also shown for $m(\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2},\tilde{\chi}^{0}_{1})=(165,35)$ GeV.

Distribution of the transverse mass of the $W$ and photon system $m_{\rm{T}}^{W\gamma_1}$ in the one lepton and two photons signal regions SR$\ell\gamma\gamma$-1 and SR$\ell\gamma\gamma$-2 for the Higgs-mass window ($120\lt m_{\gamma\gamma} \lt 130$ GeV). The final column (background) is a simulation-based cross check. The contributions from non-Higgs backgrounds are scaled by 10 GeV / 50 GeV = 0.2 from the $m_{\gamma\gamma}$ sideband ($100 \lt m_{\gamma\gamma} \lt 120$ GeV and $130 \lt m_{\gamma\gamma} \lt 160$ GeV) into the Higgs-mass window. The last bin includes overflow. The distributions of a signal hypothesis are also shown for $m(\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2},\tilde{\chi}^{0}_{1})=(165,35)$ GeV.

Distribution of the transverse mass of the $W$ and photon system $m_{\rm{T}}^{W\gamma_2}$ in the one lepton and two photons signal regions SR$\ell\gamma\gamma$-1 and SR$\ell\gamma\gamma$-2 for the Higgs-mass window ($120\lt m_{\gamma\gamma} \lt 130$ GeV). The final column (background) is a simulation-based cross check. The contributions from non-Higgs backgrounds are scaled by 10 GeV / 50 GeV = 0.2 from the $m_{\gamma\gamma}$ sideband ($100 \lt m_{\gamma\gamma} \lt 120$ GeV and $130 \lt m_{\gamma\gamma} \lt 160$ GeV) into the Higgs-mass window. The last bin includes overflow. The distributions of a signal hypothesis are also shown for $m(\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2},\tilde{\chi}^{0}_{1})=(165,35)$ GeV.

Results of the background-only fit to the diphoton invariant mass, $m_{\gamma\gamma}$, distribution in the one lepton and two photons signal region SR$l\gamma\gamma$-1. The contributions from SM Higgs boson production are constrained to the MC prediction and associated systematic uncertainties. The fit is performed on events with 100 GeV $ \lt m_{\gamma\gamma} \lt $ 160 GeV, with events in SR$l\gamma\gamma$-1 or SR$l\gamma\gamma$-2 in the Higgs-mass window (120 GeV $\le m_{\gamma\gamma} \le$ 130 GeV) excluded from the fit.

Results of the background-only fit to the diphoton invariant mass, $m_{\gamma\gamma}$, distribution in the one lepton and two photons signal region SR$l\gamma\gamma$-2. The contributions from SM Higgs boson production are constrained to the MC prediction and associated systematic uncertainties. The fit is performed on events with 100 GeV $ \lt m_{\gamma\gamma} \lt $ 160 GeV, with events in SR$l\gamma\gamma$-1 or SR$l\gamma\gamma$-2 in the Higgs-mass window (120 GeV $\le m_{\gamma\gamma} \le$ 130 GeV) excluded from the fit.

Results of the background-only fit to the diphoton invariant mass, $m_{\gamma\gamma}$, distribution in the one lepton and two photons validation region VR$l\gamma\gamma$-1. The contributions from SM Higgs boson production are constrained to the MC prediction and associated systematic uncertainties. The fit is performed on events with 100 GeV $ \lt m_{\gamma\gamma} \lt $ 160 GeV, with events in SR$l\gamma\gamma$-1 or SR$l\gamma\gamma$-2 in the Higgs-mass window (120 GeV $\le m_{\gamma\gamma} \le$ 130 GeV) excluded from the fit.

Results of the background-only fit to the diphoton invariant mass, $m_{\gamma\gamma}$, distribution in the one lepton and two photons validation region VR$l\gamma\gamma$-2. The contributions from SM Higgs boson production are constrained to the MC prediction and associated systematic uncertainties. The fit is performed on events with 100 GeV $ \lt m_{\gamma\gamma} \lt $ 160 GeV, with events in SR$l\gamma\gamma$-1 or SR$l\gamma\gamma$-2 in the Higgs-mass window (120 GeV $\le m_{\gamma\gamma} \le$ 130 GeV) excluded from the fit.

Distribution of effective mass $m_{\rm eff}$ in the validation region of the same-sign $e\mu$ channel. This validation region is defined by requiring one, two, or three jets, and reversing the $m_{lj}$, $m_{ljj}$ criteria. The distribution of a signal hypothesis is also shown.

Distribution of effective mass $m_{\rm eff}$ for the same-sign dilepton channel in the signal regions with one jet SR$ll$-1. SR$ll$-1 is the sum of SR$ee$-1, SR$e\mu$-1, and SR$\mu\mu$-1. All selection criteria are applied, except for the one on $m_{\rm eff}$. The distributions of a signal hypothesis are also shown for $m(\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2},\tilde{\chi}^{0}_{1})=(130,0)$ GeV. The last bin includes overflow.

Distribution of effective mass $m_{\rm eff}$ for the same-sign dilepton channel in the signal regions with two or three jets SR$ll$-2. SR$ll$-2 is the sum of SR$ee$-2, SR$e\mu$-2, and SR$\mu\mu$-2. All selection criteria are applied, except for the one on $m_{\rm eff}$. The distributions of a signal hypothesis are also shown for $m(\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2},\tilde{\chi}^{0}_{1})=(130,0)$ GeV. The last bin includes overflow.

Distribution of largest transverse mass $m_{\rm T}^{\rm max}$ for the same-sign dilepton channel in the signal regions with one jet SR$ll$-1. SR$ll$-1 is the sum of SR$ee$-1, SR$e\mu$-1, and SR$\mu\mu$-1. All selection criteria are applied, except for the one on $m_{\rm T}^{\rm max}$. The distributions of a signal hypothesis are also shown for $m(\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2},\tilde{\chi}^{0}_{1})=(130,0)$ GeV. The last bin includes overflow.

Distribution of largest transverse mass $m_{\rm T}^{\rm max}$ for the same-sign dilepton channel in the signal regions with two or three jets SR$ll$-2. SR$ll$-2 is the sum of SR$ee$-2, SR$e\mu$-2, and SR$\mu\mu$-2. All selection criteria are applied, except for the one on $m_{\rm T}^{\rm max}$. The distributions of a signal hypothesis are also shown for $m(\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2},\tilde{\chi}^{0}_{1})=(130,0)$ GeV. The last bin includes overflow.

Distribution of invariant mass of lepton and jet $m_{lj}$ for the same-sign dilepton channel in the signal regions with one jet SR$ll$-1. SR$ll$-1 is the sum of SR$ee$-1, SR$e\mu$-1, and SR$\mu\mu$-1. All selection criteria are applied, except for the one on $m_{lj}$. The distributions of a signal hypothesis are also shown for $m(\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2},\tilde{\chi}^{0}_{1})=(130,0)$ GeV. The last bin includes overflow.

Distribution of invariant mass of lepton and di-jet $m_{ljj}$ for the same-sign dilepton channel in the signal regions with two or three jets SR$ll$-2. SR$ll$-2 is the sum of SR$ee$-2, SR$e\mu$-2, and SR$\mu\mu$-2. All selection criteria are applied, except for the one on $m_{ljj}$. The distributions of a signal hypothesis are also shown for $m(\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2},\tilde{\chi}^{0}_{1})=(130,0)$ GeV. The last bin includes overflow.

One lepton and two $b$-jets channel: observed and expected 95% CL upper limits on the cross section normalised by the simplified model prediction as a function of the common mass $m_{\tilde{\chi}_1^\pm \tilde{\chi}^0_2}$ for $m_{\tilde{\chi}^0_1}=0$.

One lepton and two photons channel: observed and expected 95% CL upper limits on the cross section normalised by the simplified model prediction as a function of the common mass $m_{\tilde{\chi}_1^\pm \tilde{\chi}^0_2}$ for $m_{\tilde{\chi}^0_1}=0$.

Same-sign dilepton channel: observed and expected 95% CL upper limits on the cross section normalised by the simplified model prediction as a function of the common mass $m_{\tilde{\chi}_1^\pm \tilde{\chi}^0_2}$ for $m_{\tilde{\chi}^0_1}=0$.

Combination: observed and expected 95% CL upper limits on the cross section normalised by the simplified model prediction as a function of the common mass $m_{\tilde{\chi}_1^\pm \tilde{\chi}^0_2}$ for $m_{\tilde{\chi}^0_1}=0$. This combination is obtained using the result from the ATLAS three-lepton search, J. High Energy Phys. 04 (2014) 169, in addition to the three channels reported in this paper.

One lepton and two b-jets channel: Expected 95% CL exclusion contour for chargino neutralino production via Wh.

One lepton and two b-jets channel: Observed 95% CL exclusion contour for chargino neutralino production via Wh.

One lepton and two photons channel: Expected 95% CL exclusion contour for chargino neutralino production via Wh.

One lepton and two photons channel: Observed 95% CL exclusion contour for chargino neutralino production via Wh.

Same-sign dilepton channel: Expected 95% CL exclusion contour for chargino neutralino production via Wh.

Same-sign dilepton channel: Observed 95% CL exclusion contour for chargino neutralino production via Wh.

Combination: Expected 95% CL exclusion contour for chargino neutralino production via Wh.

Combination: Observed 95% CL exclusion contour for chargino neutralino production via Wh.

Combination: excluded model cross-section at 95% CL IN PB.

Acceptance SR$\ell\gamma\gamma$-1.

Acceptance SR$\ell\gamma\gamma$-2.

Efficiency SR$\ell\gamma\gamma$-1.

Efficiency SR$\ell\gamma\gamma$-2.

$m_{\gamma\gamma}$ distribution in the SR$l\gamma\gamma$-1 region for the full $m_{\gamma\gamma}$ window. The last column (background) is from a simulation-based cross check. $Z\gamma$ events, with $Z\rightarrow{ee}$ and one electron mis-identified as a photon, are included in the $Z\gamma(\gamma)$ background. The distributions of a signal hypothesis are also shown for $m(\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2},\tilde{\chi}^{0}_{1})=(165,35)$ GeV.

$m_{\gamma\gamma}$ distribution in the SR$l\gamma\gamma$-2 region for the full $m_{\gamma\gamma}$ window. The last column (background) is from a simulation-based cross check. $Z\gamma$ events, with $Z\rightarrow{ee}$ and one electron mis-identified as a photon, are included in the $Z\gamma(\gamma)$ background. The distributions of a signal hypothesis are also shown for $m(\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2},\tilde{\chi}^{0}_{1})=(165,35)$ GeV.

$m_{\gamma\gamma}$ distribution in the VR$l\gamma\gamma$-1 region for the full $m_{\gamma\gamma}$ window. The last column (background) is from a simulation-based cross check. $Z\gamma$ events, with $Z\rightarrow{ee}$ and one electron mis-identified as a photon, are included in the $Z\gamma(\gamma)$ background. The distributions of a signal hypothesis are also shown for $m(\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2},\tilde{\chi}^{0}_{1})=(165,35)$ GeV.

$m_{\gamma\gamma}$ distribution in the VR$l\gamma\gamma$-2 region for the full $m_{\gamma\gamma}$ window. The last column (background) is from a simulation-based cross check. $Z\gamma$ events, with $Z\rightarrow{ee}$ and one electron mis-identified as a photon, are included in the $Z\gamma(\gamma)$ background. The distributions of a signal hypothesis are also shown for $m(\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2},\tilde{\chi}^{0}_{1})=(165,35)$ GeV.

Acceptance for SRlbb-1, central $m_{bb}$ bin.

Acceptance for SRlbb-1, $m_{bb}$ sideband.

Acceptance for SRlbb-2, central $m_{bb}$ bin.

Acceptance for SRlbb-2, $m_{bb}$ sideband.

Efficiency for SRlbb-1, central $m_{bb}$ bin.

Efficiency for SRlbb-1, $m_{bb}$ sideband.

Efficiency for SRlbb-2, central $m_{bb}$ bin.

Efficiency for SRlbb-2, $m_{bb}$ sideband.

Acceptance for the same-sign $ee$ channel with one jet.

Acceptance for the same-sign $ee$ channel with two or three jets.

Acceptance for the same-sign $e\mu$ channel with one jet.

Acceptance for the same-sign $e\mu$ channel with two or three jets.

Acceptance for the same-sign $\mu\mu$ channel with one jet.

Acceptance for the same-sign $\mu\mu$ channel with two or three jets.

Efficiency for the same-sign $ee$ channel with one jet.

Efficiency for the same-sign $ee$ channel with two or three jets.

Efficiency for the same-sign $e\mu$ channel with one jet.

Efficiency for the same-sign $e\mu$ channel with two or three jets.

Efficiency for the same-sign $\mu\mu$ channel with one jet.

Efficiency for the same-sign $\mu\mu$ channel with two or three jets.

Observed and expected $E_T^{miss}$ distribution in soft dimuon signal region. The last bin includes the overflow.

Observed and expected $m_{eff}^{incl}$ distribution in hard single-lepton 3-jet signal region. The last bin includes the overflow.

Observed and expected $m_{eff}^{incl}$ distribution for hard single-lepton 5-jet signal region. The last bin includes the overflow.

Observed and expected $E_{T}^{miss}$ distribution for hard single-lepton 6-jet signal region. The last bin includes the overflow.

Observed and expected $M_{R}'$ distribution for hard same-flavour dilepton low-multiplicity signal region. The last bin includes the overflow.

Observed and expected $M_{R}'$ distribution for hard same-flavour dilepton 3-jet signal region. The last bin includes the overflow.

Observed and expected $M_{R}'$ distribution for hard opposite-flavour dilepton low-multiplicity signal region. The last bin includes the overflow.

Observed and expected $M_{R}'$ distribution for hard opposite-flavour dilepton 3-jet opposite-flavour signal region. The last bin includes the overflow.

Observed 95% exclusion contour for the mSUGRA/CMSSM model with $\tan\beta=30$, $A_{0}=-2m_{0}$ and $\mu > 0$.

Expected 95% exclusion contour for the mSUGRA/CMSSM model with $\tan\beta=30$, $A_{0}=-2m_{0}$ and $\mu > 0$.

Observed 95% exclusion contour for the bRPV MSUGRA/CMSSM model.

Expected 95% exclusion contour for the bRPV MSUGRA/CMSSM model.

Observed 95% exclusion contour for the natural gauge mediation with a stau NLSP model (nGM).

Expected 95% exclusion contour for the natural gauge mediation with a stau NLSP model (nGM).

Observed 95% exclusion contour for the non-universal higgs masses with gaugino mediation model (NUHMG).

Expected 95% exclusion contour for the non-universal higgs masses with gaugino mediation model (NUHMG).

Observed 95% exclusion contour for the minimal UED model from the combination of the hard dilepton and soft dilepton analyses.

Expected 95% exclusion contour for the minimal UED model from the combination of the hard dilepton and soft dilepton analyses.

Observed 95% exclusion contour for the minimal UED model from the hard dilepton analysis.

Expected 95% exclusion contour for the minimal UED model from the hard dilepton analysis.

Observed 95% exclusion contour for the minimal UED model from the soft dilepton analysis.

Expected 95% exclusion contour for the minimal UED model from the soft dilepton analysis.

Observed 95% exclusion contour for the simplified model with gluino-mediated top squark production where the top squark is assumed to decay exclusively via $\tilde{t} \rightarrow c \tilde{\chi}^{0}_{1}$.

Expected 95% exclusion contour for the simplified model with gluino-mediated top squark production, where the top squark is assumed to decay exclusively via $\tilde{t} \rightarrow c \tilde{\chi}^{0}_{1}$.

Observed 95% exclusion contour for the simplified model with gluino-mediated top squark production where the gluinos are assumed to decay exclusively through a virtual top squark, $\tilde{g} \rightarrow tt+\tilde{\chi}^{0}_{1}$.

Expected 95% exclusion contour for the simplified model with gluino-mediated top squark production where the gluinos are assumed to decay exclusively through a virtual top squark, $\tilde{g} \rightarrow tt+\tilde{\chi}^{0}_{1}$.

Observed 95% exclusion contour for the gluino simplified model from the combination of the soft single-lepton and hard single-lepton analyses for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Expected 95% exclusion contour for the gluino simplified model from the combination of the soft single-lepton and hard single-lepton analyses for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Observed 95% exclusion contour for the gluino simplified model from the hard single-lepton analyses for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Expected 95% exclusion contour for the gluino simplified model from the hard single-lepton analyses for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Observed 95% exclusion contour for the gluino simplified model from the soft single-lepton analyses for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Expected 95% exclusion contour for the gluino simplified model from the soft single-lepton analyses for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Observed 95% exclusion contour for the the first- and second-generation squark simplified model from the combination of the soft single-lepton and hard single-lepton analyses for the case in which the chargino mass is fixed at x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) = 1/2.

Expected 95% exclusion contour for the the first- and second-generation squark simplified model from the combination of the soft single-lepton and hard single-lepton analyses for the case in which the chargino mass is fixed at x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) = 1/2.

Observed 95% exclusion contour for the the first- and second-generation squark simplified model from the hard single-lepton analysis for the case in which the chargino mass is fixed at x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) = 1/2.

Expected 95% exclusion contour for the the first- and second-generation squark simplified model from the hard single-lepton analysis for the case in which the chargino mass is fixed at x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) = 1/2.

Observed 95% exclusion contour for the the first- and second-generation squark simplified model from the soft single-lepton analysis for the case in which the chargino mass is fixed at x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) = 1/2.

Expected 95% exclusion contour for the the first- and second-generation squark simplified model from the soft single-lepton analysis for the case in which the chargino mass is fixed at x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) = 1/2.

Observed 95% exclusion contour for the gluino simplified model from the combination of the soft single-lepton and hard single-lepton analyses for the case in which x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Expected 95% exclusion contour for the gluino simplified model from the combination of the soft single-lepton and hard single-lepton analyses for the case in which x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Observed 95% exclusion contour for the gluino simplified model from the hard single-lepton analysis for the case in which x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Expected 95% exclusion contour for the gluino simplified model from the hard single-lepton analysis for the case in which x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Observed 95% exclusion contour for the gluino simplified model from the soft single-lepton analysis for the case in which x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Expected 95% exclusion contour for the gluino simplified model from the soft single-lepton analysis for the case in which x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Observed 95% exclusion contour for the first- and second-generation squark simplified model from the combination of the soft single-lepton and hard single-lepton analyses for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Expected 95% exclusion contour for the first- and second-generation squark simplified model from the combination of soft single-lepton and hard single-lepton analyses for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Observed 95% exclusion contour for the first- and second-generation squark simplified model from the hard single-lepton analyses for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Expected 95% exclusion contour for the first- and second-generation squark simplified model from the hard single-lepton analyses for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Observed 95% exclusion contour for the first- and second-generation squark simplified model from the soft single-lepton analyses for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Expected 95% exclusion contour for the first- and second-generation squark simplified model from the soft single-lepton analyses for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Observed 95% exclusion contour for the two-step gluino simplified model with sleptons from the combination of the hard dilepton and hard single-lepton analyses.

Expected 95% exclusion contour for the two-step gluino simplified model with sleptons from the combination of the hard dilepton and hard single-lepton analyses.

Observed 95% exclusion contour for the two-step gluino simplified model with sleptons from the hard single-lepton analysis.

Expected 95% exclusion contour for the two-step gluino simplified model with sleptons from the hard single-lepton analysis.

Observed 95% exclusion contour for the two-step gluino simplified model with sleptons from the hard dilepton analysis.

Expected 95% exclusion contour for the two-step gluino simplified model with sleptons from the hard dilepton analysis.

Observed 95% exclusion contour for the two-step first- and second-generation squark simplified model with sleptons from the hard dilepton analysis.

Expected 95% exclusion contour for the two-step first- and second-generation squark simplified model with sleptons from the hard dilepton analysis.

Observed 95% exclusion contour for the two-step gluino simplified model without sleptons from the hard single-lepton analysis.

Expected 95% exclusion contour for the two-step gluino simplified model without sleptons from the hard single-lepton analysis.

Number of generated events in the gluino simplified model for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Production cross-section in the gluino simplified model for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Number of generated events in the the first- and second-generation squark simplified model for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV. squark decaying to quark neutralino1 with varying x.

Production cross-section in the the first- and second-generation squark simplified model for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Number of generated evens in the minimal UED model.

Production cross-section in the minimal UED model in pb.

Number of generated events in the two-step first- and second-generation squark simplified model with sleptons.

Production cross-section in the two-step first- and second-generation squark simplified model with sleptons.

Acceptance for soft single-lepton 3-jet signal region in the gluino simplified model for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Efficiency for soft single-lepton 3-jet signal region in the gluino simplified model for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Acceptance for soft single-lepton 5-jet signal region in the gluino simplified model for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Efficiency for soft single-lepton 5-jet signal region in the gluino simplified model for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Acceptance for soft single-lepton 3-jet inclusive signal region in the gluino simplified model for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Efficiency for the soft single-lepton 3-jet inclusive signal region in the gluino simplified model for the case in x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Expected CLs from the combination of the soft single-lepton and hard single-lepton analyses in the gluino simplified model for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Expected CLs from the combination of the soft single-lepton and hard single-lepton analyses in the gluino simplified model for the case in which the chargino mass is varied and the LSP mass is set at 60 GeV. The chargino mass is parameterised using x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)).

Observed CLs from the combination of the soft single-lepton and hard single-lepton analyses in the gluino simplified model for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Observed CLs from the combination of the soft single-lepton and hard single-lepton analyses in the gluino simplified model for the case in which the chargino mass is varied and the LSP mass is set at 60 GeV. The chargino mass is parameterised using x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)).

Acceptance for soft dimuon signal region in the minimal UED model (mUED).

Efficiency for soft dimuon signal region in minimal UED model (mUED).

Acceptance for hard dilepton 3-jet opposite-flavour signal region in the two-step first- and second-generation squark simplified model with sleptons.

Efficiency for hard dilepton 3jet opposite-flavour signal region in the two-step first- and second-generation squark simplified model with sleptons.

Acceptance for hard dilepton 3-jet same-flavour signal region in the two-step first- and second-generation squark simplified model with sleptons.

Efficiency for hard dilepton 3-jet same-flavour signal region in the two-step first- and second-generation squark simplified model with sleptons.

Acceptance for hard dilepton low-multiplicity opposite-flavour signal region in the two-step first- and second-generation squark simplified model with sleptons.

Efficiency for hard dilepton low-multiplicity opposite-flavour signal region in the two-step first- and second-generation squark simplified model with sleptons.

Acceptance for hard dilepton low-multiplicity same-flavour signal region in the two-step first- and second-generation squark simplified model with sleptons.

Efficiency for hard dilepton low-multiplicity same-flavour signal region in the two-step first- and second-generation squark simplified model with sleptons.

Best expected signal region in the minimal UED model (mUED).

Expected CLs from hard dilepton analysis in the two-step first- and second-generation squark simplified model with sleptons.

Observed CLs from the hard dilepton analysis in the two-step first- and second-generation squark simplified model with sleptons.

Expected CLs from the combination of the soft dimuon and hard dilepton analyses in the minimal UED model (mUED).

Observed CLs from the combination of the soft dimuon and hard dilepton analyses in the minimal UED model (mUED).

Acceptance for hard single-lepton 3-jet signal region in the gluino simplified model for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Efficiency for hard single-lepton 3-jet signal region in the gluino simplified model for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Acceptance for hard single-lepton 5-jet signal region in the gluino simplified model for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Efficiency for hard single-lepton 5-jet signal region in the gluino simplified model for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Acceptance for hard single-lepton 6-jet signal region in the gluino simplified model for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Efficiency for hard single-lepton 6-jet signal region in the gluino simplified model for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Acceptance for hard single-lepton 3-jet signal region in the first- and second-generation squark simplified model for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Efficiency for hard single-lepton 3-jet signal region in the first- and second-generation squark simplified model for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Acceptance for hard single-lepton 5-jet signal region in the first- and second-generation squark simplified model for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Efficiency for hard single-lepton 5-jet signal region in the first- and second-generation squark simplified model for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Acceptance for hard single-lepton 6-jet signal region in the first- and second-generation squark simplified model for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Efficiency for hard single-lepton 6-jet signal region in the first- and second-generation squark simplified model for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Observed 95% upper limit on the visible cross-section in the gluino simplified model from the combination of the soft single-lepton and hard single-lepton analyses for the case in which the chargino mass is fixed at x = (m(gluino)-m(chargino))/(m(gluino)-m(LSP)) = 1/2.

Observed 95% upper limit on the visible cross-section in the first- and second-generation squark simplified model from the combination of the soft single-lepton and hard single-lepton analyses for the case in which x = (m(squark)-m(chargino))/(m(squark)-m(LSP)) is varied and the LSP mass is set at 60 GeV.

Observed 95% upper limit on the visible cross-section in the first- and second-generation squark simplified model with sleptons from the hard dilepton analysis.

Observed 95% upper limit on the visible cross-section in the minimal UED model (mUED) from the combination of the soft dimuon and hard dilepton analyses.

95% C.L. observed exclusion contour for all regions combined.

Best expected signal region for signal points.

95% CLs observed upper limit on model cross-section for signal points in the signal region with $m_{CT}>150$ GeV.

95% C.L. expected exclusion contour for the $m_{CT}>150 $ GeV region.

95% C.L. observed exclusion contour for the $m_{CT}>150 $ GeV region.

95% CLs observed upper limit on model cross-section for signal points in the signal region with $m_{CT}>200$ GeV.

95% C.L. expected exclusion contour for the $m_{CT}>200 $ GeV region.

95% C.L. observed exclusion contour for the $m_{CT}>200 $ GeV region.

95% CLs observed upper limit on model cross-section for signal points in the signal region with $m_{CT}>250$ GeV.

95% C.L. expected exclusion contour for the $m_{CT}>250 $ GeV region.

95% C.L. observed exclusion contour for the $m_{CT}>250 $ GeV region.

95% CLs upper limit on model cross-section for signal points in C1.

95% CLs upper limit on model cross-section for signal points in C2.

Acceptance times Efficiency for signal points in the signal region with $m_{CT}>150$ GeV.

Acceptance times Efficiency for signal points in the signal region with $m_{CT}>200$ GeV.

Acceptance times Efficiency for signal points in the signal region with $m_{CT}>250$ GeV.

Acceptance (flavour-blind) for signal points in the signal region with $m_{CT}>150$ GeV.

Acceptance (flavour-blind) for signal points in the signal region with $m_{CT}>200$ GeV.

Acceptance (flavour-blind) for signal points in the signal region with $m_{CT}>250$ GeV.

Signal cross-sections and uncertainties.

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.

$v_{2,2}^{unsub}$ 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.