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.

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

The $v_{dyn}$ and the three terms of $v_{dyn}$ vs $\sqrt{\langle N_{ch}\rangle \langle N_{\gamma}\rangle }$ for mixed events. $Corr_{\gamma\,-ch}^{real}$ is plotted.

The $v_{dyn}$ and the three terms of $v_{dyn}$ vs $\sqrt{\langle N_{ch}\rangle \langle N_{\gamma}\rangle }$ for mixed events. $Corr_{\gamma\,-ch}^{mixed}$ is plotted.

The $v_{dyn}$ and the three terms of $v_{dyn}$ vs $\sqrt{\langle N_{ch}\rangle \langle N_{\gamma}\rangle }$ for mixed events. $\omega_{\gamma}^{real}$ is plotted.

The $v_{dyn}$ and the three terms of $v_{dyn}$ vs $\sqrt{\langle N_{ch}\rangle \langle N_{\gamma}\rangle }$ for mixed events. $\omega_{\gamma}^{mixed}$ is plotted.

The $v_{dyn}$ and the three terms of $v_{dyn}$ vs $\sqrt{\langle N_{ch}\rangle \langle N_{\gamma}\rangle }$ for mixed events. $v_{dyn}^{real}$ is plotted.

The $v_{dyn}$ and the three terms of $v_{dyn}$ vs $\sqrt{\langle N_{ch}\rangle \langle N_{\gamma}\rangle }$ for mixed events. $v_{dyn}^{mixed}$ is plotted.

The values of the observable $v_{dyn}^{ch-\gamma}$ for the same side.

The values of the observable $v_{dyn}^{ch-\gamma}$ for the same side.

The values of the observable $v_{dyn}^{ch-\gamma}$ for the away-side.

The values of the observable $v_{dyn}^{ch-\gamma}$ for the away-side.

The correlation between positive and negative charged particles measured by the FTPC and photons measured by the PMD using $v_{dyn}$ for real events.

$r_{m,1}$ vs multiplicity for first order of m.

$r_{m,1}$ vs multiplicity for first order of m.

$r_{m,1}$ vs multiplicity for second order of m.

$r_{m,1}$ vs multiplicity for second order of m.

$r_{m,1}$ vs multiplicity for third order of m.

$r_{m,1}$ vs multiplicity for third order of m.

The moments $r_{m,1}$(m=1-3) for real and mixed events as a function of order m in a fixed multiplicity bin of 47$\langle \sqrt{\langle N_{ch}\rangle \langle N_{\gamma}\rangle }\langle 54$.

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.