Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA550 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRB signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRC signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L- best expected signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA300-2j signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA450 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA600 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA750 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRB signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L- best expected signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA350 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA450 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA550 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRB signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRC signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L- best expected signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA300-2j signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA450 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA600 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA750 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRB signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L- best expected signal region.

b1L signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino.

b0L signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino.

combined signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino.

b0L signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino.

Expected exclusion limit for b0L-SRA350 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA350 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRA350 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b0L-SRA350 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRA450 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA450 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b0L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b0L-SRA550 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA550 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRB for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRB for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b0L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b0L-SRC for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRC for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for best b0L SR for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for best b0L SR for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for best b0L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for best b0L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA300-2j for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA300-2j for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA600 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA600 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA750 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA750 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for best b1L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for best b1L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for A-LowMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for A-LowMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for A-HighMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for A-HighMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for B combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for B combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for best combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for best combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

$m_{\mathrm{CT}}$ distribution in b0L-SRA. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{min[m_{T}(jet_{1-4}, E_{T}^{miss})]}$ distribution in b0L-SRB. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

${\cal A}$ distribution in b0L-SRC. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{m_{bb}}$ distribution in b1L-SRA300-2j. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{m_{eff}}$ distribution in b1L-SRA. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{m_{T}}$ distribution in b1L-SRB. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

Cross section excluded at 95% CL for best b0L SR as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRA350 as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRA450 as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRA550 as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRB as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRC as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for best b0L SR as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b0L-SRA350 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b0L-SRA450 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b0L-SRB as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for best b1L SR as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA300-2j as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA450 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA600 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA750 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRB as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for best combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for A-LowMass combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for A-HighMass combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for B combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cutflow table in b0L-SRA for a pair produced bottom squark of 1 TeV decaying into a 1 GeV neutralino in a symmetric decay scenario.

Cutflow table in b0L-SRB for a pair produced bottom squark of 700 GeV decaying into a 450 GeV neutralino in a symmetric decay scenario.

Cutflow table in b0L-SRC for a pair produced bottom squark of 450 GeV decaying into a 430 GeV neutralino in a symmetric decay scenario.

Cutflow table in b1L-SRA for a pair produced bottom squark of 700 GeV decaying into a 300 GeV neutralino in a mixed decay scenario.

Cutflow table in b1L-SRA300-2j for a pair produced bottom squark of 700 GeV decaying into a 300 GeV neutralino in a mixed decay scenario.

Cutflow table in b0L-SRA for a pair produced bottom squark of 700 GeV decaying into a 300 GeV neutralino in a mixed decay scenario.

Self-normalized zg distributions in PbPb and smeared pp collisions in the 30-50 centrality event class for jets with PTJET 160-180 GeV.

Self-normalized zg distributions in PbPb and smeared pp collisions in the 10-30 centrality event class for jets with PTJET 160-180 GeV.

Self-normalized zg distributions in PbPb and smeared pp collisions in the 0-10 centrality event class for jets with PTJET 160-180 GeV.

Ratio of zg distributions in PbPb and smeared pp collisions in the 50-80 centrality event class for jets with PTJET 160-180 GeV.

Ratio of zg distributions in PbPb and smeared pp collisions in the 30-50 centrality event class for jets with PTJET 160-180 GeV.

Ratio of zg distributions in PbPb and smeared pp collisions in the 10-30 centrality event class for jets with PTJET 160-180 GeV.

Ratio of zg distributions in PbPb and smeared pp collisions in the 0-10 centrality event class for jets with PTJET 160-180 GeV.

Ratio of zg distributions in PbPb and smeared pp collisions in the 10% most central events for jets with PTJET 140-160 GeV.

Ratio of zg distributions in PbPb and smeared pp collisions in the 10% most central events for jets with PTJET 160-180 GeV.

Ratio of zg distributions in PbPb and smeared pp collisions in the 10% most central events for jets with PTJET 180-200 GeV.

Ratio of zg distributions in PbPb and smeared pp collisions in the 10% most central events for jets with PTJET 200-250 GeV.

Ratio of zg distributions in PbPb and smeared pp collisions in the 10% most central events for jets with PTJET 250-300 GeV.

Ratio of zg distributions in PbPb and smeared pp collisions in the 10% most central events for jets with PTJET 300-500 GeV.

Integrated yields of $\eta$ mesons produced in inelastic pp collisions at center of mass energies of 2.76 and 8 TeV. The uncertainty of $\sigma_{MB}$ of $^{+3.9\%}_{-6.4\%}(model)\pm2.0(lumi)$% for $\sqrt{s}=2.76$ TeV and $\pm2.3$% for 8 TeV is not included in the systematic error.

Integrated $\eta$/$\pi^{0}$ ratio produced in inelastic pp collisions at center of mass energies of 2.76 and 8 TeV.

Mean transverse momenta $\langle p_\text{T}\rangle$ of $\pi^{0}$ mesons produced in inelastic pp collisions at center of mass energies of 2.76 and 8 TeV. The uncertainty of $\sigma_{MB}$ of $^{+3.9\%}_{-6.4\%}(model)\pm2.0(lumi)$% for $\sqrt{s}=2.76$ TeV and $\pm2.3$% for 8 TeV is not included in the systematic error.

Mean transverse momenta $\langle p_\text{T}\rangle$ of $\eta$ mesons produced in inelastic pp collisions at center of mass energies of 2.76 and 8 TeV. The uncertainty of $\sigma_{MB}$ of $^{+3.9\%}_{-6.4\%}(model)\pm2.0(lumi)$% for $\sqrt{s}=2.76$ TeV and $\pm2.3$% for 8 TeV is not included in the systematic error.

The measured ratio of cross sections for inclusive $\eta$ to $\pi^{0}$ production at a center of mass energy of 8 TeV.

Expected 95% CL exclusion contours for the gluino one-step variable-x model.

Observed 95% CL exclusion contours for the squark one-step x = 1/2 model.

Expected 95% CL exclusion contours for the squark one-step x = 1/2 model.

Observed 95% CL exclusion contours for the squark one-step variable-x model.

Expected 95% CL exclusion contours for the squark one-step variable-x model.

Observed 95% CL exclusion contours for the gluino two-step model.

Expected 95% CL exclusion contours for the gluino two-step model.

Observed 95% CL exclusion contours for pMSSM model.

Expected 95% CL exclusion contours for pMSSM model.

$m_{\mathrm{eff}}$ distribution in 2J b-veto signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{eff}}$ distribution in 4J low-x b-veto signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{eff}}$ distribution in 4J high-x b-veto signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{eff}}$ distribution in 6J b-veto signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{eff}}$ distribution in 2J b-tag signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{eff}}$ distribution in 4J low-x b-tag signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{eff}}$ distribution in 4J high-x b-tag signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{eff}}$ distribution in 6J b-tag signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{eff}}$ distribution in 9J signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{T}}$ distribution for events satisfying all the 2J b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 2J b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{T}}$ distribution for events satisfying all the 2J b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 2J b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{T}}$ distribution for events satisfying all the 4J low-x b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 4J low-x b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{T}}$ distribution for events satisfying all the 4J low-x b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 4J low-x b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{T}}$ distribution for events satisfying all the 4J high-x b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 4J high-x b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{T}}$ distribution for events satisfying all the 4J high-x b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 4J high-x b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{T}}$ distribution for events satisfying all the 6J b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 6J b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{T}}$ distribution for events satisfying all the 6J b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 6J b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

$m_{\mathrm{T}}$ distribution for events satisfying all the 9J signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.

Observed upper limits on the signal cross-section for gluino one-step x = 1/2 model.

Observed upper limits on the signal cross-section for gluino one-step variable-x model.

Observed upper limits on the signal cross-section for squark one-step x = 1/2 model.

Observed upper limits on the signal cross-section for squark one-step variable-x model.

Observed upper limits on the signal cross-section for gluino two-step model.

Observed upper limits on the signal cross-section for pMSSM model.

Acceptance in 2J discovery signal region for gluino one-step x = 1/2 model.

Acceptance in 2J discovery signal region for squark one-step x = 1/2 model.

Acceptance in 4J low-x discovery signal region for gluino one-step variable-x model.

Acceptance in 4J low-x discovery signal region for squark one-step variable-x model.

Acceptance in 4J high-x discovery signal region for gluino one-step variable-x model.

Acceptance in 4J high-x discovery signal region for squark one-step variable-x model.

Acceptance in 6J discovery signal region for gluino one-step x = 1/2 model.

Acceptance in 6J discovery signal region for squark one-step x = 1/2 model.

Acceptance in 9J discovery signal region for pMSSM model.

Acceptance in 9J discovery signal region for gluino two-step model.

Efficiency in 2J discovery signal region for gluino one-step x = 1/2 model.

Efficiency in 2J discovery signal region for squark one-step x = 1/2 model.

Efficiency in 4J low-x discovery signal region for gluino one-step variable-x model.

Efficiency in 4J low-x discovery signal region for squark one-step variable-x model.

Efficiency in 4J high-x discovery signal region for gluino one-step variable-x model.

Efficiency in 4J high-x discovery signal region for squark one-step variable-x model.

Efficiency in 6J discovery signal region for gluino one-step x = 1/2 model.

Efficiency in 6J discovery signal region for squark one-step x = 1/2 model.

Efficiency in 9J discovery signal region for pMSSM model.

Efficiency in 9J discovery signal region for gluino two-step model.

Cutflow table for the 2J discovery signal region with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).

Cutflow table for the 4J high-x discovery signal region with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).

Cutflow table for the 4J low-x discovery signal region (targetting gluino decays) with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).

Cutflow table for the 4J low-x discovery signal region (targetting squark decays) with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).

Cutflow table for the 6J discovery signal region (targetting gluino decays) with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).

Cutflow table for the 6J discovery signal region (targetting squark decays) with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).

Cutflow table for the 9J discovery signal region with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).

The $m_{\mathrm{T2}}$ distribution in the multi-jet background VR-F for SR-lowMass. The stacked histograms show the contribution of the non-multi-jet SM backgrounds from MC simulation. The multi-jet contribution is estimated from data using the ABCD method. The hatched bands represent the combined statistical and systematic uncertainties in the sum of the SM backgrounds shown. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The last bin in the left panels includes the overflow events.

The $E_{\mathrm T}^{\mathrm{miss}}$ distribution in the multi-jet background VR-F for SR-highMass. The stacked histograms show the contribution of the non-multi-jet SM backgrounds from MC simulation. The multi-jet contribution is estimated from data using the ABCD method. The hatched bands represent the combined statistical and systematic uncertainties in the sum of the SM backgrounds shown. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The last bin in the left panels includes the overflow events.

The $m_{\mathrm{T2}}$ distribution in the multi-jet background VR-F for SR-highMass. The stacked histograms show the contribution of the non-multi-jet SM backgrounds from MC simulation. The multi-jet contribution is estimated from data using the ABCD method. The hatched bands represent the combined statistical and systematic uncertainties in the sum of the SM backgrounds shown. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The last bin in the left panels includes the overflow events.

The $E_{\mathrm T}^{\mathrm{miss}}$ distribution in the $W$-VR region. The SM backgrounds other than multi-jet production are estimated from MC simulation. The contribution of $W$+jets events is scaled to the fit result. The multi-jet contribution is estimated from data using the $OS--SS$ method. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the SM background estimate. The last bin includes the overflow events.

The $m_{\mathrm{T2}}$ distribution in the $W$-VR region. The SM backgrounds other than multi-jet production are estimated from MC simulation. The contribution of $W$+jets events is scaled to the fit result. The multi-jet contribution is estimated from data using the $OS--SS$ method. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the SM background estimate. The last bin includes the overflow events.

The $m_{\mathrm{T2}}$ distribution in the $Z$-VR region. The SM backgrounds other than multi-jet production are estimated from MC simulation. The multi-jet contribution is estimated from data using the ABCD method, using CRs obtained with the same technique used for the SRs. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the SM background estimate. The last bin includes the overflow events except for the upper left panel.

The $m_{\mathrm{T2}}$ distribution in the Top-VR region. The SM backgrounds other than multi-jet production are estimated from MC simulation. The multi-jet contribution is estimated from data using the ABCD method, using CRs obtained with the same technique used for the SRs. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the SM background estimate. The last bin includes the overflow events except for the upper left panel.

The $m_{\mathrm{T2}}$ distribution in the $WW$-VR region. The SM backgrounds other than multi-jet production are estimated from MC simulation. The multi-jet contribution is negligible and not considered. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the SM background estimate. The last bin includes the overflow events except for the upper left panel.

The $m_{\mathrm{T2}}$ distribution in the $ZZ$-VR region. The SM backgrounds other than multi-jet production are estimated from MC simulation. The multi-jet contribution is negligible and not considered. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the SM background estimate. The last bin includes the overflow events except for the upper left panel.

The $m_{\mathrm{T2}}$ distribution before the $m_{\mathrm{T2}}$ requirement is applied for SR-lowMass region, where the arrow indicates the position of the cut in the signal region. The stacked histograms show the expected SM backgrounds. The multi-jet contribution is estimated from data using the ABCD method. The contributions of multi-jet and $W$+jets events are scaled with the corresponding normalisation factors. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the total SM background estimate. The last bin includes the overflow events.

The $m_{\mathrm{T2}}$ distribution before the $m_{\mathrm{T2}}$ requirement is applied for SR-highMass region, where the arrow indicates the position of the cut in the signal region. The stacked histograms show the expected SM backgrounds. The multi-jet contribution is estimated from data using the ABCD method. The contributions of multi-jet and $W$+jets events are scaled with the corresponding normalisation factors. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the total SM background estimate. The last bin includes the overflow events.

Observed exclusion contours in chargino pair production model.

Expected exclusion contours in chargino pair production model.

Observed exclusion contours in chargino chargino and chargino neutralino production model.

Expected exclusion contours in chargino chargino and chargino neutralino production model.

Observed upper limits on the model cross-section in units of pb as a function of the chargino and neutralino masses in chargino chargino pair production.

Observed upper limits on the model cross-section in units of pb as a function of the chargino and neutralino masses in chargino chargino and chargino neutralino pair production.

Best signal region used in chargino chargino and chargino neutralino pair production, H is corresponding to SR-highMass and L is SR-lowMass.

Observed CLs significance in variable-x model of chargino chargino pair production for compressed mass scenario.

Expected CLs significance in variable-x model of chargino chargino pair production for compressed mass scenario.

Observed CLs significance in variable-x model of chargino chargino pair production for large mass splitting scenario.

Expected CLs significance in variable-x model of chargino chargino pair production for large mass splitting scenario.

Observed CLs significance in variable-x model of chargino chargino and chargino neutralino pair production for compressed mass scenario.

Expected CLs significance in variable-x model of chargino chargino and chargino neutralino pair production for compressed mass scenario.

Observed CLs significance in variable-x model of chargino chargino and chargino neutralino pair production for large mass splitting scenario.

Expected CLs significance in variable-x model of chargino chargino and chargino neutralino pair production for large mass splitting scenario.

Acceptance in SR-lowMass for CHARGINO1 NEUTRALINO2 production.

Acceptance in SR-highMass for CHARGINO1 NEUTRALINO2 production.

Acceptance in SR-highMass for CHARGINO1 CHARGINO1 production.

Efficiency in SR-lowMass for CHARGINO1 NEUTRALINO2 production.

Efficiency in SR-highMass for CHARGINO1 NEUTRALINO2 production.

Efficiency in SR-highMass for CHARGINO1 CHARGINO1 production.

Cut flow for the reference point 1 (CHARGINO1 NEUTRALINO2 production) in SR-lowMass. The column labelled $N_{raw}$ shows the results for the generated number of events, while $N_{weighted}$ includes all correction factors applied to simulation, and is normalised to 36.1 fb$^{-1}$. The quoted uncertainties are statistical only. At the step ``at least two medium tau candidates, matched to trigger objects' the following requirements are applied: the event is recorded using either the asymmetric di-tau trigger or the di-tau+$E_{\mathrm T}^{\mathrm{miss}}$ trigger, and the two matched tau candidates must be of medium quality. If the event has been selected by the asymmetric di-tau trigger, the two tau candidates are required to have ${p}_{\mathrm{T}, \tau_1}>$ 95 GeV and ${p}_{\mathrm{T}, \tau_2}>$ 65 GeV. If the event has been selected by the di-tau+$E_{\mathrm T}^{\mathrm{miss}}$ trigger, the two tau candidates are required to have ${p}_{\mathrm{T}, \tau_1}>$ 50 GeV, ${p}_{\mathrm{T}, \tau_2}>$ 40 GeV, and $E_{\mathrm T}^{\mathrm{miss}}$ > 150 GeV is required.}

Cut flow for the reference point 2 (CHARGINO1 CHARGINO1 production) in SR-highMass. The column labelled $N_{raw}$ shows the results for the generated number of events, while $N_{weighted}$ includes all correction factors applied to simulation, and is normalised to 36.1 fb$^{-1}$. The quoted uncertainties are statistical only. At the step ``at least two medium tau candidates, matched to trigger objects' the following requirements are applied: the event is recorded using either the asymmetric di-tau trigger or the di-tau+$E_{\mathrm T}^{\mathrm{miss}}$ trigger, and the two matched tau candidates must be of medium quality. If the event has been selected by the asymmetric di-tau trigger, the two tau candidates are required to have ${p}_{\mathrm{T}, \tau_1}>$ 95 GeV and ${p}_{\mathrm{T}, \tau_2}>$ 65 GeV. If the event has been selected by the di-tau+$E_{\mathrm T}^{\mathrm{miss}}$ trigger, the two tau candidates are required to have ${p}_{\mathrm{T}, \tau_1}>$ 50 GeV, ${p}_{\mathrm{T}, \tau_2}>$ 40 GeV, and $E_{\mathrm T}^{\mathrm{miss}}$ > 150 GeV is required.}

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the particle level as a function of y(top).

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the particle level as a function of pt(ttbar).

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the particle level as a function of y(ttbar).

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the particle level as a function of m(ttbar).

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the particle level as a function of dphi(ttbar).

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the parton level as a function of pt(top).

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the parton level as a function of y(top).

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the parton level as a function of pt(ttbar).

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the parton level as a function of y(ttbar).

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the parton level as a function of m(ttbar).

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the parton level as a function of dphi(ttbar).

Statistical covariance matrix for the normalized differential tt cross section in dilepton channel at particle level as a function of the transverse momentum pt(let).

Statistical covariance matrix for the normalized differential tt cross section in dilepton channel at particle level as a function of the transverse momentum pt(jet).

Statistical covariance matrix for the normalized differential tt cross section in dilepton channel at particle level as a function of the transverse momentum pt(top) of the top quark or antiquark.

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the particle level as a function of y(top) of the top quark or antiquark.

Statistical covariance matrix for the normalized differential tt cross section in dilepton channel at particle level as a function of the transverse momentum pt(ttbar) of the top quark and antiquark.

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the particle level as a function of y(ttbar) of the top quark and antiquark.

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the particle level as a function of m(ttbar) of the top quark and antiquark.

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the particle level as a function of dphi(ttbar) of the top quark and antiquark.

Statistical covariance matrix for the normalized differential tt cross section in dilepton channel at parton level as a function of the transverse momentum pt(top) of the top quark or antiquark.

Statistical covariance matrix for the normalized differential tt cross section in dilepton channel at parton level as a function of the transverse momentum y(top) of the top quark or antiquark.

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the parton level as a function of pt(ttbar) of the top quark and antiquark.

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the parton level as a function of y(ttbar) of the top quark and antiquark.

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the parton level as a function of m(ttbar) of the top quark and antiquark.

Normalized differential ttbar cross sections with statistical and systematic uncertainties at the parton level as a function of dphi(ttbar) of the top quark and antiquark.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ in 10-20% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ in 20-30% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ in 30-40% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ in 40-50% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ in 50-60% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 0-0.2% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 0-5% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 0-10% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 10-20% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 20-30% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 30-40% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 40-50% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ in 50-60% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ for multiplicity class $220 \leq N^{offline}_{trk}<260$ in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ for multiplicity class $185 \leq N^{offline}_{trk}<220$ in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ for multiplicity class $150 \leq N^{offline}_{trk}<185$ in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) elliptic flow, $v^{(\alpha)}_2$, as a function of $p_T$ $120 \leq N^{offline}_{trk}<150$ in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ for multiplicity class $220 \leq N^{offline}_{trk}<260$ in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ for multiplicity class $185 \leq N^{offline}_{trk}<220$ in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ for multiplicity class $150 \leq N^{offline}_{trk}<185$ in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) triangular flow, $v^{(\alpha)}_3$, as a function of $p_T$ for multiplicity class $120 \leq N^{offline}_{trk}<150$ in pPb collisions.

Pearson correlation coefficients $r_2$ and $r_3$ reconstructed using the leading and subleading flows as a function of $p^{a}_{T} - p^{b}_{T}$ in bin $p^{a}_{T}$ for centrality class 0-0.2% in PbPb collisions.

Pearson correlation coefficients $r_2$ and $r_3$ reconstructed using the leading and subleading flows as a function of $p^{a}_{T} - p^{b}_{T}$ in bin $p^{a}_{T}$ for centrality class 0-5% in PbPb collisions.

Pearson correlation coefficients $r_2$ and $r_3$ reconstructed using the leading and subleading flows as a function of $p^{a}_{T} - p^{b}_{T}$ in bin $p^{a}_{T}$ for centrality class 10-20% in PbPb collisions.

Pearson correlation coefficients $r_2$ and $r_3$ reconstructed using the leading and subleading flows as a function of $p^{a}_{T} - p^{b}_{T}$ in bin $p^{a}_{T}$ for centrality class 20-30% in PbPb collisions.

Pearson correlation coefficients $r_2$ and $r_3$ reconstructed using the leading and subleading flows as a function of $p^{a}_{T} - p^{b}_{T}$ in bin $p^{a}_{T}$ for centrality class 30-40% in PbPb collisions.

Pearson correlation coefficients $r_2$ and $r_3$ reconstructed using the leading and subleading flows as a function of $p^{a}_{T} - p^{b}_{T}$ in bin $p^{a}_{T}$ for centrality class 40-50% in PbPb collisions.

Elliptic and triangular ratios of subleading and leading flow as a function of multiplicity for the highest bin 2.5 < $p_T$ < 3.0 GeV in PbPb collisions.

Elliptic and triangular ratios of subleading and leading flow as a function of multiplicity for the highest bin 2.5 < $p_T$ < 3.0 GeV in pPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 0-0.2% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 0-5% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 0-10% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 10-20% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 20-30% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 30-40% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 40-50% centrality PbPb collisions.

Leading ($\alpha$ = 1) and subleading ($\alpha$ = 2) multiplicity modes, $v^{(\alpha)}_0$, as a function of $p_T$ in 50-60% centrality PbPb collisions.

Collins-like asymmetries as a function of particle-jet $p_T$.

Collins-like asymmetries as a function of particle-jet $p_T$.

Collins-like asymmetries as a function of pion $z$.

Collins-like asymmetries as a function of pion $z$.

Collins-like asymmetries as a function of pion $z$.

Collins-like asymmetries as a function of particle-jet $p_T$ for pions reconstructed with $0.1 < z < 0.3$.

Collins-like asymmetries as a function of pion $z$ for jets reconstructed with $6.0 < p_T < 13.8$ GeV/$c$.

Collins asymmetries as a function of particle-jet $p_T$.

Collins asymmetries as a function of particle-jet $p_T$.

Collins asymmetries as a function of particle-jet $p_T$.

Collins asymmetries as a function of pion $z$.

Collins asymmetries as a function of pion $z$.

Collins asymmetries as a function of pion $z$.

Collins asymmetries as a function of pion $j_T$ for jets reconstructed with $22.7 < p_T < 55.0$ GeV/$c$.

Collins asymmetries as a function of pion $j_T$ for jets reconstructed with $22.7 < p_T < 55.0$ GeV/$c$.

Collins asymmetries as a function of pion $j_T$ for jets reconstructed with $22.7 < p_T < 55.0$ GeV/$c$.

Collins asymmetries as a function of pion $z$ for jets reconstructed with $22.7 < p_T < 55.0$ GeV/$c$ and $0 < \eta < 1$.

Directed flow $v_1$ as a function of rapidity $y$ for $K^{+}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, and 39 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $p$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K^{+}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $p$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K^{+}$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\bar{p}$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K^{-}$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\bar{p}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, and 39 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K^{-}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\bar{p}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K^{-}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 62.4 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\bar{p}$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K^{-}$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\pi^{+}$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K_0^s$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\pi^{+}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, and 39 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K_0^s$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\pi^{+}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K_0^s$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 62.4 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\pi^{+}$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K_0^s$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\pi^{-}$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\Lambda$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\pi^{-}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, and 39 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\Lambda$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\pi^{-}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\Lambda$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 62.4 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\pi^{-}$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\Lambda$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K^{+}$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\bar{\Lambda}$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K^{+}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, and 39 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\bar{\Lambda}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K^{+}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\bar{\Lambda}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 62.4 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K^{+}$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\bar{\Lambda}$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K^{-}$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K^{-}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 11.5, 14.5, 19.6, 27, 39 and 62.4 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K^{-}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 62.4 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K^{-}$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K_0^s$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 11.5, 14.5, 19.6, 27, 39 and 62.4 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K_0^s$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K_0^s$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 62.4 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $K_0^s$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 11.5, 14.5, 19.6, 27, 39 and 62.4 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\Lambda$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\Lambda$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, and 200 GeV.

Directed flow slope $dv_1/dy$ as a function of beam energy in 10%–40% central Au+Au collisions.

Directed flow $v_1$ as a function of rapidity $y$ for $\Lambda$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 62.4 GeV.

Directed flow slope $dv_1/dy$ as a function of beam energy in 10%–40% central Au+Au collisions.

Directed flow $v_1$ as a function of rapidity $y$ for $\Lambda$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow slope $dv_1/dy$ as a function of beam energy in 10%–40% central Au+Au collisions.

Directed flow $v_1$ as a function of rapidity $y$ for $\bar{\Lambda}$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow slope $dv_1/dy$ as a function of beam energy in 10%–40% central Au+Au collisions.

Directed flow $v_1$ as a function of rapidity $y$ for $\bar{\Lambda}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\bar{\Lambda}$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 62.4 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\bar{\Lambda}$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4 and 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 11.5, 14.5, 19.6, 27, 39 and 62.4 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 5%–10% central Au+Au collisions at $\sqrt{s_{NN}} =$ 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 11.5, 14.5, 19.6, 27, 39 and 62.4 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 10%–40% central Au+Au collisions at $\sqrt{s_{NN}} =$ 200 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 7.7 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 11.5, 14.5, 19.6, 27, 39 and 62.4 GeV.

Directed flow $v_1$ as a function of rapidity $y$ for $\phi$ in 40%–80% central Au+Au collisions at $\sqrt{s_{NN}} =$ 200 GeV.

Directed flow slope $dv_1/dy$ as a function of beam energy in 10%–40% central Au+Au collisions.

Directed flow slope $dv_1/dy$ as a function of beam energy in 10%–40% central Au+Au collisions.

Directed flow slope $dv_1/dy$ as a function of beam energy in 10%–40% central Au+Au collisions.

Directed flow slope $dv_1/dy$ as a function of beam energy in 10%–40% central Au+Au collisions.