$p_{T}$-distributions of pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 5-10%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 5-10%.

$p_{T}$-distributions of protons ($p+pbar$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 5-10%.

$p_{T}$-distributions of pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 10-20%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 10-20%.

$p_{T}$-distributions of protons ($p+pbar$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 10-20%.

$p_{T}$-distributions of pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 20-30%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 20-30%.

$p_{T}$-distributions of protons ($p+pbar$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 20-30%.

$p_{T}$-distributions of pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 30-40%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 30-40%.

$p_{T}$-distributions of protons ($p+pbar$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 30-40%.

$p_{T}$-distributions of pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 40-50%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 40-50%.

$p_{T}$-distributions of protons ($p+pbar$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 40-50%.

$p_{T}$-distributions of pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 50-60%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 50-60%.

$p_{T}$-distributions of protons ($p+pbar$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 50-60%.

$p_{T}$-distributions of pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 60-70%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 60-70%.

$p_{T}$-distributions of protons ($p+pbar$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 60-70%.

$p_{T}$-distributions of pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 70-90%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 70-90%.

$p_{T}$-distributions of protons ($p+pbar$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 70-90%.

$p_{T}$-distributions of phi ($\phi$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 0-10%.

$p_{T}$-distributions of phi ($\phi$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 10-30%.

$p_{T}$-distributions of phi ($\phi$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 30-50%.

$p_{T}$-distributions of phi ($\phi$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 50-70%.

$p_{T}$-distributions of phi ($\phi$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 70-90%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 0-5%.

$p_{T}$-distributions of protons ($p+pbar$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 0-5%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 5-10%.

$p_{T}$-distributions of protons ($p+pbar$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 5-10%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 10-20%.

$p_{T}$-distributions of protons ($p+pbar$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 10-20%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 20-30%.

$p_{T}$-distributions of protons ($p+pbar$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 20-30%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 30-40%.

$p_{T}$-distributions of protons ($p+pbar$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 30-40%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 40-50%.

$p_{T}$-distributions of protons ($p+pbar$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 40-50%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 50-60%.

$p_{T}$-distributions of protons ($p+pbar$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 50-60%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 60-70%.

$p_{T}$-distributions of protons ($p+pbar$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 60-70%.

$p_{T}$-distributions of kaons ($K^{+}+K^{-}$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 70-90%.

$p_{T}$-distributions of protons ($p+pbar$)/pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 70-90%.

$p_{T}$-distributions of phi ($\phi$)/protons ($p+pbar$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 0-10%.

$p_{T}$-distributions of phi ($\phi$)/protons ($p+pbar$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 10-30%.

$p_{T}$-distributions of phi ($\phi$)/protons ($p+pbar$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 30-50%.

$p_{T}$-distributions of phi ($\phi$)/protons ($p+pbar$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 50-70%.

$p_{T}$-distributions of phi ($\phi$)/protons ($p+pbar$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV. Centrality class 70-90%.

Integrated yield ratios of kaons ($K^{+}+K^{-}$) to pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV.

Integrated yield ratios of protons ($p+pbar$) to pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV.

Integrated yield ratios of phi ($\phi$) to pions ($\pi^{+}+\pi^{-}$) measured in Xe-Xe collisions at $\sqrt{s_{NN}}$ = 5.44 TeV.

Differential cross section as a function of $m_{\gamma\gamma}$. The table contains the values measured in data and theory predictions from SHERPA, DIPHOX and NNLOJET.

Differential cross section as a function of $p_{T,\gamma\gamma}$. The table contains the values measured in data and theory predictions from SHERPA, DIPHOX and NNLOJET.

Differential cross section as a function of $a_{T,\gamma\gamma}$. The table contains the values measured in data and theory predictions from SHERPA, DIPHOX and NNLOJET.

Differential cross section as a function of $\phi_{\eta}*$. The table contains the values measured in data and theory predictions from SHERPA, DIPHOX and NNLOJET.

Differential cross section as a function of $\pi-\Delta\phi_{\gamma\gamma}$. The table contains the values measured in data and theory predictions from SHERPA, DIPHOX and NNLOJET.

Differential cross section as a function of $|cos\theta*|^{(CS)}$. The table contains the values measured in data and theory predictions from SHERPA, DIPHOX and NNLOJET.

Ratio of differential UPC dimuon cross sections from data and STARlight shown as a function of $|y_{\mu\mu}|$ in the interval $10 < |m_{\mu\mu}| < 20$ GeV.

Ratio of differential UPC dimuon cross sections from data and STARlight shown as a function of $|y_{\mu\mu}|$ in the interval $20 < |m_{\mu\mu}| < 40$ GeV.

Ratio of differential UPC dimuon cross sections from data and STARlight 2.0 shown as a function of $|y_{\mu\mu}|$ in the interval $40 < |m_{\mu\mu}| < 80$ GeV.

Differential UPC dimuon cross sections shown as a function of $|m_{\mu\mu}|$ in the interval $0 < |y_{\mu\mu}| < 0.8$.

Differential UPC dimuon cross sections shown as a function of $|m_{\mu\mu}|$ in the interval $0.8 < |y_{\mu\mu}| < 1.6$.

Differential UPC dimuon cross sections shown as a function of $|m_{\mu\mu}|$ in the interval $1.6 < |y_{\mu\mu}| < 2.4$.

Ratio of differential UPC dimuon cross sections from data and STARlight shown as a function of $|m_{\mu\mu}|$ in the interval $0 < |y_{\mu\mu}| < 0.8$.

Ratio of differential UPC dimuon cross sections from data and STARlight shown as a function of $|m_{\mu\mu}|$ in the interval $0.8 < |y_{\mu\mu}| < 1.6$.

Ratio of differential UPC dimuon cross sections from data and STARlight 2.0 shown as a function of $|m_{\mu\mu}|$ in the interval $1.6 < |y_{\mu\mu}| < 2.4$.

Differential UPC dimuon cross sections shown as a function of $|\cos\theta^{\star}_{\mu\mu}|$ in the interval $10 < |m_{\mu\mu}| < 20$ GeV.

Differential UPC dimuon cross sections shown as a function of $|\cos\theta^{\star}_{\mu\mu}|$ in the interval $20 < |m_{\mu\mu}| < 40$ GeV.

Differential UPC dimuon cross sections shown as a function of $|\cos\theta^{\star}_{\mu\mu}|$ in the interval $40 < |m_{\mu\mu}| < 80$ GeV.

Ratio of differential UPC dimuon cross sections from data and STARlight shown as a function of $|\cos\theta^{\star}_{\mu\mu}|$ in the interval $10 < |m_{\mu\mu}| < 20$ GeV.

Ratio of differential UPC dimuon cross sections from data and STARlight shown as a function of $|\cos\theta^{\star}_{\mu\mu}|$ in the interval $20 < |m_{\mu\mu}| < 40$ GeV.

Ratio of differential UPC dimuon cross sections from data and STARlight 2.0 shown as a function of $|\cos\theta^{\star}_{\mu\mu}|$ in the interval $40 < |m_{\mu\mu}| < 80$ GeV.

Differential UPC dimuon cross sections shown as a function of $|\cos\theta^{\star}_{\mu\mu}|$ in the interval $10 < |m_{\mu\mu}| < 20$ GeV and $|y_{\mu\mu}|<0.8$.

Differential UPC dimuon cross sections shown as a function of $|\cos\theta^{\star}_{\mu\mu}|$ in the interval $20 < |m_{\mu\mu}| < 40$ GeV and $|y_{\mu\mu}|<0.8$.

Differential UPC dimuon cross sections shown as a function of $|\cos\theta^{\star}_{\mu\mu}|$ in the interval $40 < |m_{\mu\mu}| < 80$ GeV and $|y_{\mu\mu}|<0.8$.

Ratio of differential UPC dimuon cross sections from data and STARlight shown as a function of $|\cos\theta^{\star}_{\mu\mu}|$ in the interval $10 < |m_{\mu\mu}| < 20$ GeV and $|y_{\mu\mu}|<0.8$.

Ratio of differential UPC dimuon xsects from data and STARlight shown as a function of $|\cos\theta^{\star}_{\mu\mu}|$ in the interval $20 < |m_{\mu\mu}| < 40$ GeV and $|y_{\mu\mu}|<0.8$.

Ratio of differential UPC dimuon cross sections from data and STARlight 2.0 shown as a function of $|\cos\theta^{\star}_{\mu\mu}|$ in the interval $40 < |m_{\mu\mu}| < 80$ GeV and $|y_{\mu\mu}|<0.8$.

Differential cross section as a function of k_max

Ratio of data/STARlight for differential cross sections as a function of k_max

Differential cross section as a function of k_min

Ratio of data/STARlight for differential cross sections as a function of k_min

Differential cross sections in $\alpha$ (acoplanarity) integrated over the full fiducial volume

Fraction of Xn0n events as a function of $m_{\mu\mu}$ for $0<|y_{\mu\mu}|<0.8$

Fraction of Xn0n events as a function of $y_{\mu\mu}$ for $10<|m_{\mu\mu}|<20$ GeV

Fraction of Xn0n events as a function of $m_{\mu\mu}$ for $0.8<|y_{\mu\mu}|<1.6$

Fraction of Xn0n events as a function of $y_{\mu\mu}$ for $20<|m_{\mu\mu}|<40$ GeV

Fraction of Xn0n events as a function of $m_{\mu\mu}$ for $1.6<|y_{\mu\mu}|<2.4$

Fraction of Xn0n events as a function of $y_{\mu\mu}$ for $40<|m_{\mu\mu}|<80$ GeV

Fraction of XnXn events as a function of $m_{\mu\mu}$ for $0<|y_{\mu\mu}|<0.8$

Fraction of XnXn events as a function of $y_{\mu\mu}$ for $10<|m_{\mu\mu}|<20$ GeV

Fraction of XnXn events as a function of $m_{\mu\mu}$ for $0.8<|y_{\mu\mu}|<1.6$

Fraction of XnXn events as a function of $y_{\mu\mu}$ for $20<|m_{\mu\mu}|<40$ GeV

Fraction of XnXn events as a function of $m_{\mu\mu}$ for $1.6<|y_{\mu\mu}|<2.4$

Fraction of XnXn events as a function of $y_{\mu\mu}$ for $40<|m_{\mu\mu}|<80$ GeV

Centrality dependence of ${\rm SC}(3,4,5)$ in Pb--Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$~TeV.

Centrality dependence of ${\rm NSC}(2,3,4)$ in Pb--Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$~TeV.

Centrality dependence of ${\rm NSC}(2,3,5)$ in Pb--Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$~TeV.

Observed metSig distributions in signal regions MB-SSd. The histograms show the MC background predictions normalised by the background-only fit. The hatched (red) error bands indicate experimental and MC statistical uncertainties. Expected distributions for benchmark signal model points, normalised using the approximate NNLO+NNLL cross-section times integrated luminosity, are also shown for comparison (masses in GeV).

Observed $m_{\mathrm{eff}}$ distributions in signal regions MB-GGd. The histograms show the MC background predictions normalised by the background-only fit. The hatched (red) error bands indicate experimental and MC statistical uncertainties. Expected distributions for benchmark signal model points, normalised using the approximate NNLO+NNLL cross-section times integrated luminosity, are also shown for comparison (masses in GeV).

Observed $m_{\mathrm{eff}}$ distributions in signal regions MB-GGd. The histograms show the MC background predictions normalised by the background-only fit. The hatched (red) error bands indicate experimental and MC statistical uncertainties. Expected distributions for benchmark signal model points, normalised using the approximate NNLO+NNLL cross-section times integrated luminosity, are also shown for comparison (masses in GeV).

Observed metSig distributions in signal regions MB-GGd. The histograms show the MC background predictions normalised by the background-only fit. The hatched (red) error bands indicate experimental and MC statistical uncertainties. Expected distributions for benchmark signal model points, normalised using the approximate NNLO+NNLL cross-section times integrated luminosity, are also shown for comparison (masses in GeV).

Observed metSig distributions in signal regions MB-GGd. The histograms show the MC background predictions normalised by the background-only fit. The hatched (red) error bands indicate experimental and MC statistical uncertainties. Expected distributions for benchmark signal model points, normalised using the approximate NNLO+NNLL cross-section times integrated luminosity, are also shown for comparison (masses in GeV).

Observed $m_{\mathrm{eff}}$ distributions in signal regions MB-C. The histograms show the MC background predictions normalised by the background-only fit. The hatched (red) error bands indicate experimental and MC statistical uncertainties. Expected distributions for benchmark signal model points, normalised using the approximate NNLO+NNLL cross-section times integrated luminosity, are also shown for comparison (masses in GeV).

Observed $m_{\mathrm{eff}}$ distributions in signal regions MB-C. The histograms show the MC background predictions normalised by the background-only fit. The hatched (red) error bands indicate experimental and MC statistical uncertainties. Expected distributions for benchmark signal model points, normalised using the approximate NNLO+NNLL cross-section times integrated luminosity, are also shown for comparison (masses in GeV).

Observed metSig distributions in signal regions MB-C. The histograms show the MC background predictions normalised by the background-only fit. The hatched (red) error bands indicate experimental and MC statistical uncertainties. Expected distributions for benchmark signal model points, normalised using the approximate NNLO+NNLL cross-section times integrated luminosity, are also shown for comparison (masses in GeV).

Observed metSig distributions in signal regions MB-C. The histograms show the MC background predictions normalised by the background-only fit. The hatched (red) error bands indicate experimental and MC statistical uncertainties. Expected distributions for benchmark signal model points, normalised using the approximate NNLO+NNLL cross-section times integrated luminosity, are also shown for comparison (masses in GeV).

Observed BDT-GGd1 score distributions in signal regions GGd1. The histograms show the MC background predictions normalised by the background-only fit. The hatched (red) error bands indicate experimental and MC statistical uncertainties. Expected distributions for benchmark signal model points, normalised using the approximate NNLO+NNLL cross-section times integrated luminosity, are also shown for comparison (masses in GeV).

Observed BDT-GGd1 score distributions in signal regions GGd1. The histograms show the MC background predictions normalised by the background-only fit. The hatched (red) error bands indicate experimental and MC statistical uncertainties. Expected distributions for benchmark signal model points, normalised using the approximate NNLO+NNLL cross-section times integrated luminosity, are also shown for comparison (masses in GeV).

Observed BDT-GGo1 score distributions in signal regions GGo1. The histograms show the MC background predictions normalised by the background-only fit. The hatched (red) error bands indicate experimental and MC statistical uncertainties. Expected distributions for benchmark signal model points, normalised using the approximate NNLO+NNLL cross-section times integrated luminosity, are also shown for comparison (masses in GeV).

Observed BDT-GGo1 score distributions in signal regions GGo1. The histograms show the MC background predictions normalised by the background-only fit. The hatched (red) error bands indicate experimental and MC statistical uncertainties. Expected distributions for benchmark signal model points, normalised using the approximate NNLO+NNLL cross-section times integrated luminosity, are also shown for comparison (masses in GeV).

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd1

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd1

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd2

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd2

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd3

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd3

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd4

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd4

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo1

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo1

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo2

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo2

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo3

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo3

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo4

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo4

Signal region acceptance for simplified model with squark pair production and decays to a quark and neutralino in SR 2j-1600

Signal region acceptance for simplified model with squark pair production and decays to a quark and neutralino in SR 2j-1600

Signal region acceptance for simplified model with squark pair production and decays to a quark and neutralino in SR 2j-2200

Signal region acceptance for simplified model with squark pair production and decays to a quark and neutralino in SR 2j-2200

Signal region acceptance for simplified model with squark pair production and decays to a quark and neutralino in SR 2j-2800

Signal region acceptance for simplified model with squark pair production and decays to a quark and neutralino in SR 2j-2800

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR 4j-1000

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR 4j-1000

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR 4j-2200

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR 4j-2200

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR 4j-3400

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR 4j-3400

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR 5j-1600

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and neutralino in SR 5j-1600

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR 6j-1000

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR 6j-1000

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR 6j-2200

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR 6j-2200

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR 6j-3400

Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR 6j-3400

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd1. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd1. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd2. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd2. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd3. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd3. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd4. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR BDT-GGd4. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo1. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo1. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo2. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo2. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo3. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo3. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo4. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR BDT-GGo4. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with squark pair production and decays to a quark and neutralino in SR 2j-1600. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with squark pair production and decays to a quark and neutralino in SR 2j-1600. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with squark pair production and decays to a quark and neutralino in SR 2j-2200. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with squark pair production and decays to a quark and neutralino in SR 2j-2200. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with squark pair production and decays to a quark and neutralino in SR 2j-2800. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with squark pair production and decays to a quark and neutralino in SR 2j-2800. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR 4j-1000. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR 4j-1000. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR 4j-2200. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR 4j-2200. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR 4j-3400. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR 4j-3400. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR 5j-1600. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and neutralino in SR 5j-1600. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR 6j-1000. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR 6j-1000. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR 6j-2200. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR 6j-2200. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR 6j-3400. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR 6j-3400. Efficiencies on signal points with low statistics are not reported. The efficiency value -1.0 in the table corresponds to the case where efficiency cannot be calculated due to the null acceptance of the model point.

Exclusion limits in the mass plane of the lightest neutralino and first- and second-generation squarks assuming squark pair production and direct decays obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with a dark dashed curve, with the light (yellow) band indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and first- and second-generation squarks assuming squark pair production and direct decays obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with a dark dashed curve, with the light (yellow) band indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and first- and second-generation squarks assuming squark pair production and direct decays obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curve where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and first- and second-generation squarks assuming squark pair production and direct decays obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curve where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and non degenerated squark pair production and direct decays obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with a dark dashed curve, with the light (yellow) band indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and non degenerated squark pair production and direct decays obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with a dark dashed curve, with the light (yellow) band indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and non degenerated squark pair production and direct decays obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curve where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and non degenerated squark pair production and direct decays obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curve where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and the gluino for gluino pair production with direct decays obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with a dark dashed curve, with the light (yellow) band indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and the gluino for gluino pair production with direct decays obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with a dark dashed curve, with the light (yellow) band indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and the gluino for gluino pair production with direct decays obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curve where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and the gluino for gluino pair production with direct decays obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curve where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and squarks. The expected limits are indicated with dark dashed curves, with the light (yellow) bands indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and squarks. The expected limits are indicated with dark dashed curves, with the light (yellow) bands indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and squarks. The observed limits are indicated by the medium dark (maroon) curves where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and squarks. The observed limits are indicated by the medium dark (maroon) curves where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits for squark pair production with a one-step decay via an intermediate chargino. The neutralino mass is fixed at 60 GeV and exclusion limits are given for mass difference ratio, $X$, as a function of the squark mass. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with dark dashed curves, with the light (yellow) bands indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits for squark pair production with a one-step decay via an intermediate chargino. The neutralino mass is fixed at 60 GeV and exclusion limits are given for mass difference ratio, $X$, as a function of the squark mass. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with dark dashed curves, with the light (yellow) bands indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits for squark pair production with a one-step decay via an intermediate chargino. The neutralino mass is fixed at 60 GeV and exclusion limits are given for mass difference ratio, $X$, as a function of the squark mass. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curves where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits for squark pair production with a one-step decay via an intermediate chargino. The neutralino mass is fixed at 60 GeV and exclusion limits are given for mass difference ratio, $X$, as a function of the squark mass. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curves where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and gluinos. The expected limits are indicated with dark dashed curves, with the light (yellow) bands indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and gluinos. The expected limits are indicated with dark dashed curves, with the light (yellow) bands indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and gluinos. The observed limits are indicated by the medium dark (maroon) curve where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits in the mass plane of the lightest neutralino and gluinos. The observed limits are indicated by the medium dark (maroon) curve where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits for gluino pair production with a one-step decay via an intermediate chargino. The neutralino mass is fixed at 60 GeV and exclusion limits are given for mass difference ratio, $X$, as a function of the gluino mass. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with dark dashed curves, with the light (yellow) bands indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits for gluino pair production with a one-step decay via an intermediate chargino. The neutralino mass is fixed at 60 GeV and exclusion limits are given for mass difference ratio, $X$, as a function of the gluino mass. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with dark dashed curves, with the light (yellow) bands indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits for gluino pair production with a one-step decay via an intermediate chargino. The neutralino mass is fixed at 60 GeV and exclusion limits are given for mass difference ratio, $X$, as a function of the gluino mass. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curves where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits for gluino pair production with a one-step decay via an intermediate chargino. The neutralino mass is fixed at 60 GeV and exclusion limits are given for mass difference ratio, $X$, as a function of the gluino mass. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curves where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits for the model with combined production of squark pairs, gluino pairs, and of squark--gluino pairs. The neutralino mass is fixed at 0 GeV. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with dark dashed curves, with the light (yellow) bands indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits for the model with combined production of squark pairs, gluino pairs, and of squark--gluino pairs. The neutralino mass is fixed at 0 GeV. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with dark dashed curves, with the light (yellow) bands indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits for the model with combined production of squark pairs, gluino pairs, and of squark--gluino pairs. The neutralino mass is fixed at 0 GeV. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curves where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits for the model with combined production of squark pairs, gluino pairs, and of squark--gluino pairs. The neutralino mass is fixed at 0 GeV. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curves where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits for the model with combined production of squark pairs, gluino pairs, and of squark--gluino pairs. The neutralino mass is fixed at 995 GeV. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with dark dashed curves, with the light (yellow) bands indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits for the model with combined production of squark pairs, gluino pairs, and of squark--gluino pairs. The neutralino mass is fixed at 995 GeV. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with dark dashed curves, with the light (yellow) bands indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits for the model with combined production of squark pairs, gluino pairs, and of squark--gluino pairs. The neutralino mass is fixed at 995 GeV. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curves where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits for the model with combined production of squark pairs, gluino pairs, and of squark--gluino pairs. The neutralino mass is fixed at 995 GeV. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curves where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits for the model with combined production of squark pairs, gluino pairs, and of squark--gluino pairs. The neutralino mass is fixed at 1495 GeV. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with dark dashed curves, with the light (yellow) bands indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits for the model with combined production of squark pairs, gluino pairs, and of squark--gluino pairs. The neutralino mass is fixed at 1495 GeV. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The expected limits are indicated with dark dashed curves, with the light (yellow) bands indicating the $1\sigma$ excursions due to experimental and background-only theoretical uncertainties.

Exclusion limits for the model with combined production of squark pairs, gluino pairs, and of squark--gluino pairs. The neutralino mass is fixed at 1495 GeV. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curves where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

Exclusion limits for the model with combined production of squark pairs, gluino pairs, and of squark--gluino pairs. The neutralino mass is fixed at 1495 GeV. Exclusion limits are obtained by using the signal region with the best expected sensitivity at each point. The observed limits are indicated by the medium dark (maroon) curves where the solid contour represents the nominal limit, and the dotted lines are obtained by varying the signal cross-section by the renormalisation and factorisation scale and PDF uncertainties.

The observed upper limits on signal cross section corresponding to the best expected signal region in each mass point for squark-pair production with direct decays.

The observed upper limits on signal cross section corresponding to the best expected signal region in each mass point for squark-pair production with direct decays.

The observed upper limits on signal cross section corresponding to the best expected signal region in each mass point for gluino-pair production with direct decays

The observed upper limits on signal cross section corresponding to the best expected signal region in each mass point for gluino-pair production with direct decays

The observed upper limits on signal cross section corresponding to the best expected signal region in each mass point for squark-pair production with a one-step decay via an intermediate chargino.

The observed upper limits on signal cross section corresponding to the best expected signal region in each mass point for squark-pair production with a one-step decay via an intermediate chargino.

The observed upper limits on signal cross section corresponding to the best expected signal region in each mass point for squark-pair production with a one-step decay via an intermediate chargino. The neutralino mass is fixed at 60 GeV and exclusion limits are given for mass difference ratio, $X$, as a function of the squark mass.

The observed upper limits on signal cross section corresponding to the best expected signal region in each mass point for squark-pair production with a one-step decay via an intermediate chargino. The neutralino mass is fixed at 60 GeV and exclusion limits are given for mass difference ratio, $X$, as a function of the squark mass.

The observed upper limits on signal cross section corresponding to the best expected signal region in each mass point for gluino-pair production with a one-step decay via an intermediate chargino.

The observed upper limits on signal cross section corresponding to the best expected signal region in each mass point for gluino-pair production with a one-step decay via an intermediate chargino.

The observed upper limits on signal cross section corresponding to the best expected signal region in each mass point for gluino-pair production with a one-step decay via an intermediate chargino. The neutralino mass is fixed at 60~GeV and exclusio limits are given for mass difference ratio, $X$, as a function of the gluino mass.

The observed upper limits on signal cross section corresponding to the best expected signal region in each mass point for gluino-pair production with a one-step decay via an intermediate chargino. The neutralino mass is fixed at 60~GeV and exclusio limits are given for mass difference ratio, $X$, as a function of the gluino mass.

Cut-flow for model-independent search regions targeting squarks for SS direct model points. Expected yields are normalized to a luminosity of 139 fb$^{-1}$.

Cut-flow for model-independent search regions targeting squarks for SS direct model points. Expected yields are normalized to a luminosity of 139 fb$^{-1}$.

Cut-flow for model-independent search regions targeting gluinos for GG direct model points. Expected yields are normalized to a luminosity of 139 fb$^{-1}$.

Cut-flow for model-independent search regions targeting gluinos for GG direct model points. Expected yields are normalized to a luminosity of 139 fb$^{-1}$.

Cut-flow for model-independent search regions targeting squarks and gluinos in models with one-step decay. Expected yields are normalized to a luminosity of 139 $fb^{-1}$.

Cut-flow for model-independent search regions targeting squarks and gluinos in models with one-step decay. Expected yields are normalized to a luminosity of 139 $fb^{-1}$.

Cut-flow for BDT search regions targeting gluinos in models with one-step decays. Expected yields are normalized to a luminosity of 139 $fb^{-1}$.

Cut-flow for BDT search regions targeting gluinos in models with one-step decays. Expected yields are normalized to a luminosity of 139 $fb^{-1}$.

Cut-flow for BDT search regions targeting gluinos in models with direct decays. Expected yields are normalized to a luminosity of 139 $fb^{-1}$.

Cut-flow for BDT search regions targeting gluinos in models with direct decays. Expected yields are normalized to a luminosity of 139 $fb^{-1}$.

Distribution of the W boson transverse mass in the WZ 3l signal region. Events from conversions, and DY processes are grouped into the 'Others' category. The vertical error bars represent the statistical uncertainty in the data and the shaded band the uncertainty in the prediction. The signal contributions are scaled to the measured cross sections (postfit).

Results obtained in this analysis and other diboson production cross section measurements at different center-of-mass energies for the CMS, ATLAS, CDF, and D0 Collaborations are presented, and compared with the NNLO QCD x NLO EW and NLO predictions from MATRIX. The vertical error bars represent the uncertainty in the measured cross section.

The signal selection acceptance times efficiency (A$\times \epsilon$), defined as the ratio of the number of MC signal events in the category to the number of generated signal events, is presented as a function of the HVT resonance mass in the VBF category. The A$\times \epsilon$ is shown for the combination of all decay channels. For the HVT VBF samples, generator cuts are: m$_{jj} >$ 150 GeV. The decay of $W$ and $Z$ are to all flavors of leptons. The uncertainty shown represents the total statistical and systematic uncertainties.

Signal selection acceptance times efficiency (A$\times \epsilon$), defined as the ratio of the number of MC signal events in the category to the number of generated signal events, as a function of the HVT resonance mass for the quark-antiquark production. The $A\times\epsilon$ is shown for each decay channel and the inclusive one. The decay of $W$ and $Z$ are to all flavors of leptons. The uncertainty shown represents the total statistical and systematic uncertainties.

Signal selection acceptance times efficiency (A$\times \epsilon$), defined as the ratio of the number of MC signal events in the category to the number of generated signal events, as a function of the HVT resonance mass for the quark-antiquark production. The $A\times\epsilon$ is shown for each decay channel and the inclusive one. The decay of $W$ and $Z$ are to all flavors of leptons. The uncertainty shown represents the total statistical and systematic uncertainties.

Observed and expected distributions of the $WZ$ invariant mass in the q$\bar{\mathrm q}$ category after applying all selection cuts. Background contributions are obtained from background-only likelihood fit to the data.

Observed and expected distributions of the $WZ$ invariant mass in the q$\bar{\mathrm q}$ category after applying all selection cuts. Background contributions are obtained from background-only likelihood fit to the data.

Observed and expected distributions of the $WZ$ invariant mass in the $VBF$ category after applying all selection cuts. Background contributions are obtained from background-only likelihood fit to the data.

Observed and expected distributions of the $WZ$ invariant mass in the $VBF$ category after applying all selection cuts. Background contributions are obtained from background-only likelihood fit to the data.

Observed and expected 95% C.L. upper limits on $\sigma\times$BR($W'\to W^\pm Z$) for the q$\bar{\mathrm q}$ production of a $W'$ boson in the HVT model as a function of its mass. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty in the expected limits are given. Limits are calculated in the asymptotic approximation below 900 GeV and are obtained from pseudo-experiments above that.

Observed and expected 95% C.L. upper limits on $\sigma\times$BR($W'\to W^\pm Z$) for the q$\bar{\mathrm q}$ production of a $W'$ boson in the HVT model as a function of its mass. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty in the expected limits are given. Limits are calculated in the asymptotic approximation below 900 GeV and are obtained from pseudo-experiments above that.

Observed and expected 95% C.L. upper limits on $\sigma\times$BR($W'\to W^\pm Z$) for the $VBF$ production of a $W'$ boson in the HVT model as a function of its mass. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty are given in the expected limits. Limits are calculated in the asymptotic approximation below 700 GeV and are obtained from pseudo-experiments above that.

Observed and expected 95% C.L. upper limits on $\sigma\times$BR($W'\to W^\pm Z$) for the $VBF$ production of a $W'$ boson in the HVT model as a function of its mass. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty are given in the expected limits. Limits are calculated in the asymptotic approximation below 700 GeV and are obtained from pseudo-experiments above that.

Observed and expected 95% C.L. upper limits on $\sigma\times$BR($H_5^\pm\to W^\pm Z$) of the Georgi-Machacek Model as a function of $m_{H_5^\pm}$. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty in the expected limits are given. Limits are calculated in the asymptotic approximation below 700 GeV and are obtained from pseudo-experiments above that.

Observed and expected 95% C.L. upper limits on $\sigma\times$BR($H_5^\pm\to W^\pm Z$) of the Georgi-Machacek Model as a function of $m_{H_5^\pm}$. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty in the expected limits are given. Limits are calculated in the asymptotic approximation below 700 GeV and are obtained from pseudo-experiments above that.

Observed and expected 95% C.L. upper limits on the parameter $\sin(\theta_H)$ of the Georgi-Machacek Model as a function of $m_{H_5^\pm}$. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty are given in the expected limits. Limits are calculated in the asymptotic approximation below 700 GeV and are obtained from pseudo-experiments above that.

Observed and expected 95% C.L. upper limits on the parameter $\sin(\theta_H)$ of the Georgi-Machacek Model as a function of $m_{H_5^\pm}$. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty are given in the expected limits. Limits are calculated in the asymptotic approximation below 700 GeV and are obtained from pseudo-experiments above that.

Three-body selection. Distributions of $M_{\Delta}^R$ in (a,b) $SR_{W}^{3-body}$ and (c,d) $SR_{T}^{3-body}$ for (left) same-flavour and (right) different-flavour events satisfying the selection criteria of the given SR, except the one for the presented variable, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack. ''Others'' includes contributions from $VVV$, $t\bar{t} t$, $t\bar{t}t\bar{t}$, $t\bar{t} W$, $t\bar{t} WW$, $t\bar{t} WZ$, $t\bar{t} H$, and $tZ$ processes. The hatched bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows in the upper panels indicate the signal region selection criteria. The bottom panels show the ratio of the observed data to the total SM background prediction, with hatched bands representing the total uncertainty in the background prediction; red arrows show data outside the vertical-axis range.

Three-body selection. Distributions of $M_{\Delta}^R$ in (a,b) $SR_{W}^{3-body}$ and (c,d) $SR_{T}^{3-body}$ for (left) same-flavour and (right) different-flavour events satisfying the selection criteria of the given SR, except the one for the presented variable, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack. ''Others'' includes contributions from $VVV$, $t\bar{t} t$, $t\bar{t}t\bar{t}$, $t\bar{t} W$, $t\bar{t} WW$, $t\bar{t} WZ$, $t\bar{t} H$, and $tZ$ processes. The hatched bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows in the upper panels indicate the signal region selection criteria. The bottom panels show the ratio of the observed data to the total SM background prediction, with hatched bands representing the total uncertainty in the background prediction; red arrows show data outside the vertical-axis range.

Three-body selection. Distributions of $M_{\Delta}^R$ in (a,b) $SR_{W}^{3-body}$ and (c,d) $SR_{T}^{3-body}$ for (left) same-flavour and (right) different-flavour events satisfying the selection criteria of the given SR, except the one for the presented variable, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack. ''Others'' includes contributions from $VVV$, $t\bar{t} t$, $t\bar{t}t\bar{t}$, $t\bar{t} W$, $t\bar{t} WW$, $t\bar{t} WZ$, $t\bar{t} H$, and $tZ$ processes. The hatched bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows in the upper panels indicate the signal region selection criteria. The bottom panels show the ratio of the observed data to the total SM background prediction, with hatched bands representing the total uncertainty in the background prediction; red arrows show data outside the vertical-axis range.

Four-body selection. (a) distributions of $E_{T}^{miss}$ in $SR^{4-body}_{Small\,\Delta m}$ and (b) distribution of $R_{2\ell 4j}$ in $SR^{4-body}_{Large\,\Delta m}$ for events satisfying the selection criteria of the given SR, except the one for the presented variable, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack. ''Others'' includes contributions from $VVV$, $t\bar{t} t$, $t\bar{t}$, $t\bar{t} W$, $t\bar{t} WW$, $t\bar{t} WZ$, $t\bar{t} H$, and $tZ$ processes. The hatched bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows in the upper panel indicate the signal region selection criteria. The bottom panels show the ratio of the observed data to the total SM background prediction, with hatched bands representing the total uncertainty in the background prediction; red arrows show data outside the vertical-axis range.

Four-body selection. (a) distributions of $E_{T}^{miss}$ in $SR^{4-body}_{Small\,\Delta m}$ and (b) distribution of $R_{2\ell 4j}$ in $SR^{4-body}_{Large\,\Delta m}$ for events satisfying the selection criteria of the given SR, except the one for the presented variable, after the background fit. The contributions from all SM backgrounds are shown as a histogram stack. ''Others'' includes contributions from $VVV$, $t\bar{t} t$, $t\bar{t}$, $t\bar{t} W$, $t\bar{t} WW$, $t\bar{t} WZ$, $t\bar{t} H$, and $tZ$ processes. The hatched bands represent the total statistical and systematic uncertainty. The rightmost bin of each plot includes overflow events. Reference top squark pair production signal models are overlayed for comparison. Red arrows in the upper panel indicate the signal region selection criteria. The bottom panels show the ratio of the observed data to the total SM background prediction, with hatched bands representing the total uncertainty in the background prediction; red arrows show data outside the vertical-axis range.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t^{(*)}\tilde{\chi}_1^0$ with 100% branching ratio, in the (a) $m(\tilde{t}_1)$--$m(\tilde{\chi}_1^0)$ and (b) $m(\tilde{t}_1)$--$\Delta m(\tilde{t}_1,\tilde{\chi}_1^0)$ planes. The dashed lines and the shaded bands are the expected limits and their $\pm1\sigma$ uncertainties. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t^{(*)}\tilde{\chi}_1^0$ with 100% branching ratio, in the (a) $m(\tilde{t}_1)$--$m(\tilde{\chi}_1^0)$ and (b) $m(\tilde{t}_1)$--$\Delta m(\tilde{t}_1,\tilde{\chi}_1^0)$ planes. The dashed lines and the shaded bands are the expected limits and their $\pm1\sigma$ uncertainties. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t^{(*)}\tilde{\chi}_1^0$ with 100% branching ratio, in the (a) $m(\tilde{t}_1)$--$m(\tilde{\chi}_1^0)$ and (b) $m(\tilde{t}_1)$--$\Delta m(\tilde{t}_1,\tilde{\chi}_1^0)$ planes. The dashed lines and the shaded bands are the expected limits and their $\pm1\sigma$ uncertainties. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t^{(*)}\tilde{\chi}_1^0$ with 100% branching ratio, in the (a) $m(\tilde{t}_1)$--$m(\tilde{\chi}_1^0)$ and (b) $m(\tilde{t}_1)$--$\Delta m(\tilde{t}_1,\tilde{\chi}_1^0)$ planes. The dashed lines and the shaded bands are the Observed limits and their $\pm1\sigma$ uncertainties. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t^{(*)}\tilde{\chi}_1^0$ with 100% branching ratio, in the (a) $m(\tilde{t}_1)$--$m(\tilde{\chi}_1^0)$ and (b) $m(\tilde{t}_1)$--$\Delta m(\tilde{t}_1,\tilde{\chi}_1^0)$ planes. The dashed lines and the shaded bands are the expected limits and their $\pm1\sigma$ uncertainties. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t^{(*)}\tilde{\chi}_1^0$ with 100% branching ratio, in the (a) $m(\tilde{t}_1)$--$m(\tilde{\chi}_1^0)$ and (b) $m(\tilde{t}_1)$--$\Delta m(\tilde{t}_1,\tilde{\chi}_1^0)$ planes. The dashed lines and the shaded bands are the expected limits and their $\pm1\sigma$ uncertainties. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t^{(*)}\tilde{\chi}_1^0$ with 100\% branching ratio, in the (a) $m(\tilde{t}_1)$--$m(\tilde{\chi}_1^0)$ and (b) $m(\tilde{t}_1)$--$\Delta m(\tilde{t}_1,\tilde{\chi}_1^0)$ planes. The dashed lines and the shaded bands are the expected limits and their $\pm1\sigma$ uncertainties. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t^{(*)}\tilde{\chi}_1^0$ with 100\% branching ratio, in the (a) $m(\tilde{t}_1)$--$m(\tilde{\chi}_1^0)$ and (b) $m(\tilde{t}_1)$--$\Delta m(\tilde{t}_1,\tilde{\chi}_1^0)$ planes. The dashed lines and the shaded bands are the expected limits and their $\pm1\sigma$ uncertainties. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t^{(*)}\tilde{\chi}_1^0$ with 100\% branching ratio, in the (a) $m(\tilde{t}_1)$--$m(\tilde{\chi}_1^0)$ and (b) $m(\tilde{t}_1)$--$\Delta m(\tilde{t}_1,\tilde{\chi}_1^0)$ planes. The dashed lines and the shaded bands are the expected limits and their $\pm1\sigma$ uncertainties. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t^{(*)}\tilde{\chi}_1^0$ with 100\% branching ratio, in the (a) $m(\tilde{t}_1)$--$m(\tilde{\chi}_1^0)$ and (b) $m(\tilde{t}_1)$--$\Delta m(\tilde{t}_1,\tilde{\chi}_1^0)$ planes. The dashed lines and the shaded bands are the expected limits and their $\pm1\sigma$ uncertainties. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t^{(*)}\tilde{\chi}_1^0$ with 100\% branching ratio, in the (a) $m(\tilde{t}_1)$--$m(\tilde{\chi}_1^0)$ and (b) $m(\tilde{t}_1)$--$\Delta m(\tilde{t}_1,\tilde{\chi}_1^0)$ planes. The dashed lines and the shaded bands are the expected limits and their $\pm1\sigma$ uncertainties. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t^{(*)}\tilde{\chi}_1^0$ with 100\% branching ratio, in the (a) $m(\tilde{t}_1)$--$m(\tilde{\chi}_1^0)$ and (b) $m(\tilde{t}_1)$--$\Delta m(\tilde{t}_1,\tilde{\chi}_1^0)$ planes. The dashed lines and the shaded bands are the expected limits and their $\pm1\sigma$ uncertainties. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty.

Exclusion limits for (a) $t\bar{t} + \phi $ scalar and (b) $t\bar{t} + a $ pseudoscalar models as a function of the mediator mass for a DM particle mass of $m(\chi)=1$ GeV. The limits are calculated at 95% CL and are expressed in terms of the ratio of the excluded cross-section to the nominal cross-section for a coupling assumption of $g = g_q = g_{\chi} = 1$. The solid (dashed) lines shows the observed (expected) exclusion limits.

Exclusion limits for (a) $t\bar{t} + \phi $ scalar and (b) $t\bar{t} + a $ pseudoscalar models as a function of the mediator mass for a DM particle mass of $m(\chi)=1$ GeV. The limits are calculated at 95% CL and are expressed in terms of the ratio of the excluded cross-section to the nominal cross-section for a coupling assumption of $g = g_q = g_{\chi} = 1$. The solid (dashed) lines shows the observed (expected) exclusion limits.

Exclusion limits for (a) $t\bar{t} + \phi $ scalar and (b) $t\bar{t} + a $ pseudoscalar models as a function of the mediator mass for a DM particle mass of $m(\chi)=1$ GeV. The limits are calculated at 95% CL and are expressed in terms of the ratio of the excluded cross-section to the nominal cross-section for a coupling assumption of $g = g_q = g_{\chi} = 1$. The solid (dashed) lines shows the observed (expected) exclusion limits.

Exclusion limits for (a) $t\bar{t} + \phi $ scalar and (b) $t\bar{t} + a $ pseudoscalar models as a function of the mediator mass for a DM particle mass of $m(\chi)=1$ GeV. The limits are calculated at 95% CL and are expressed in terms of the ratio of the excluded cross-section to the nominal cross-section for a coupling assumption of $g = g_q = g_{\chi} = 1$. The solid (dashed) lines shows the observed (expected) exclusion limits.

Two-body selection. Background fit results for $\mathrm{CR}^{\mathrm{2-body}}_{t\bar{t}}$, $\mathrm{CR}^{\mathrm{2-body}}_{t\bar{t}Z}$, $\mathrm{VR}^{\mathrm{2-body}}_{t\bar{t}, DF}$, $\mathrm{VR}^{\mathrm{2-body}}_{t\bar{t}, SF}$ and $\mathrm{VR}^{\mathrm{2-body}}_{t\bar{t} Z}$. ''Others'' includes contributions from $VVV$, $t\bar{t} t$, $t\bar{t}t\bar{t}$, $t\bar{t} W$, $t\bar{t} WW$, $t\bar{t} WZ$, $t\bar{t} H$, and $tZ$ processes. Combined statistical and systematic uncertainties are given. Entries marked `--' indicate a negligible background contribution (less than 0.001 events). The individual uncertainties can be correlated, and do not necessarily add up in quadrature to the total background uncertainty.

Three-body selection. Background fit results for $\mathrm{CR}^{\mathrm{3-body}}_{t\bar{t}}$, $\mathrm{CR}^{\mathrm{3-body}}_{VV}$, $\mathrm{CR}^{\mathrm{2-body}}_{t\bar{t}Z}$, $\mathrm{VR}^{\mathrm{3-body}}_{VV}$, $\mathrm{VR(1)}^{\mathrm{3-body}}_{t\bar{t}}$ and $\mathrm{VR(2)}^{\mathrm{3-body}}_{t\bar{t}}$. ''Others'' includes contributions from $VVV$, $t\bar{t} t$, $t\bar{t}t\bar{t}$, $t\bar{t} W$, $t\bar{t} WW$, $t\bar{t} WZ$, $t\bar{t} H$, and $tZ$ processes. Combined statistical and systematic uncertainties are given. Entries marked `--' indicate a negligible background contribution (less than 0.001 events). The individual uncertainties can be correlated, and do not necessarily add up in quadrature to the total background uncertainty.

Four-body selection. Background fit results for $\mathrm{CR}^{\mathrm{4-body}}_{t\bar{t}}$,$\mathrm{CR}^{\mathrm{4-body}}_{VV}$, $\mathrm{VR}^{\mathrm{4-body}}_{t\bar{t}}$, $VR^{4-body}_{VV}$ and $\mathrm{VR}^{\mathrm{4-body}}_{VV,lll}$. The ''Others'' category contains the contributions from $VVV$, $t\bar{t} t$, $t\bar{t}t\bar{t}$, $t\bar{t} W$, $t\bar{t} WW$, $t\bar{t} WZ$, $t\bar{t} H$, and $tZ$. Combined statistical and systematic uncertainties are given. Entries marked `--' indicate a negligible background contribution (less than 0.001 events). The individual uncertainties can be correlated, and do not necessarily add up in quadrature to the total background uncertainty.

Two-body selection. Background fit results for the different-flavour leptons binned SRs. The ''Others'' category contains the contributions from $VVV$, $t\bar{t} t$, $t\bar{t}t\bar{t}$, $t\bar{t} W$, $t\bar{t} WW$, $t\bar{t} WZ$, $t\bar{t} H$, and $tZ$. Combined statistical and systematic uncertainties are given. Entries marked `--' indicate a negligible background contribution (less than 0.001 events). The individual uncertainties can be correlated, and do not necessarily add up in quadrature to the total background uncertainty.

Two-body selection. Background fit results for the same-flavour leptons binned SRs. The ''Others'' category contains the contributions from $VVV$, $t\bar{t} t$, $t\bar{t}t\bar{t}$, $t\bar{t} W$, $t\bar{t} WW$, $t\bar{t} WZ$, $t\bar{t} H$, and $tZ$. Combined statistical and systematic uncertainties are given. The individual uncertainties can be correlated, and do not necessarily add up in quadrature to the total background uncertainty.

Three-body selection. Observed event yields and background fit results for the three-body selection SRs. The ''Others'' category contains contributions from $VVV$, $t\bar{t} t$, $t\bar{t}t\bar{t}$, $t\bar{t} W$, $t\bar{t} WW$, $t\bar{t} WZ$, $t\bar{t} H$, and $tZ$. Combined statistical and systematic uncertainties are given. Entries marked `--' indicate a negligible background contribution (less than 0.001 events). The individual uncertainties can be correlated, and do not necessarily add up in quadrature to the total background uncertainty.

Four-body selection. Observed event yields and background fit results for SR$^{\mathrm{4-body}}_{\mathrm{Small}\,\Delta m}$ and SR$^{\mathrm{4-body}}_{\mathrm{Large}\,\Delta m}$. The ''Others'' category contains the contributions from $VVV$, $t\bar{t} t$, $t\bar{t}t\bar{t}$, $t\bar{t} W$, $t\bar{t} WW$, $t\bar{t} WZ$, $t\bar{t} H$, and $tZ$. Combined statistical and systematic uncertainties are given. The individual uncertainties can be correlated, and do not necessarily add up in quadrature to the total background uncertainty.

Exclusion limits contours (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t^{(*)}\tilde{\chi}^0_1$ with 100% branching ratio in $\tilde{t}_1--\tilde{\chi}^0_1$ masses planes. The dashed lines and the shaded bands are the expected limit and its $\pm 1\sigma$ uncertainty. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty. The exclusion limits contours for the two-body, three-body and four-body selections are respectively shown in blue, green and red.

Exclusion limits contours (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t^{(*)}\tilde{\chi}^0_1$ with 100% branching ratio in $\tilde{t}_1--\tilde{\chi}^0_1$ masses planes. The dashed lines and the shaded bands are the expected limit and its $\pm 1\sigma$ uncertainty. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty. The exclusion limits contours for the two-body, three-body and four-body selections are respectively shown in blue, green and red.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t \tilde{\chi}_1^0$ with 100% branching ratio, in $\tilde{t}_1$--$\tilde{\chi}_1^0$ masses plane. The dashed lines and the shaded bands are the expected limit and its $\pm1\sigma$ uncertainty. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty. The observed (a) and expected (b) CLs values are respectively shown.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t \tilde{\chi}_1^0$ with 100% branching ratio, in $\tilde{t}_1$--$\tilde{\chi}_1^0$ masses plane. The dashed lines and the shaded bands are the expected limit and its $\pm1\sigma$ uncertainty. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty. The observed (a) and expected (b) CLs values are respectively shown.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t \tilde{\chi}_1^0$ with 100% branching ratio, in $\tilde{t}_1$--$\tilde{\chi}_1^0$ masses plane. The dashed lines and the shaded bands are the expected limit and its $\pm1\sigma$ uncertainty. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty. The observed (a) and expected (b) CLs values are respectively shown.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow t \tilde{\chi}_1^0$ with 100% branching ratio, in $\tilde{t}_1$--$\tilde{\chi}_1^0$ masses plane. The dashed lines and the shaded bands are the expected limit and its $\pm1\sigma$ uncertainty. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty. The observed (a) and expected (b) CLs values are respectively shown.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b W \tilde{\chi}_1^0$ with 100% branching ratio, in $\tilde{t}_1$--$\tilde{\chi}_1^0$ masses plane. The dashed lines and the shaded bands are the expected limit and its $\pm1\sigma$ uncertainty. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty. The observed (a) and expected (b) CLs values are respectively shown.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b W \tilde{\chi}_1^0$ with 100% branching ratio, in $\tilde{t}_1$--$\tilde{\chi}_1^0$ masses plane. The dashed lines and the shaded bands are the expected limit and its $\pm1\sigma$ uncertainty. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty. The observed (a) and expected (b) CLs values are respectively shown.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b W \tilde{\chi}_1^0$ with 100% branching ratio, in $\tilde{t}_1$--$\tilde{\chi}_1^0$ masses plane. The dashed lines and the shaded bands are the expected limit and its $\pm1\sigma$ uncertainty. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm 1\sigma$ of the theoretical uncertainty. The observed (a) and expected (b) CLs values are respectively shown.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b W \tilde{\chi}_1^0$ with 100% branching ratio, in $\tilde{t}_1$--$\tilde{\chi}_1^0$ masses plane. The dashed lines and the shaded bands are the expected limit and its $\pm1\sigma$ uncertainty. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty. The observed (a) and expected (b) CLs values are respectively shown.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b l \nu \tilde{\chi}_1^0$ with 100% branching ratio, in $\tilde{t}_1$--$\tilde{\chi}_1^0$ masses plane. The dashed lines and the shaded bands are the expected limit and its $\pm1\sigma$ uncertainty. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty. The observed (a) and expected (b) CLs values are respectively shown.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b l \nu \tilde{\chi}_1^0$ with 100% branching ratio, in $\tilde{t}_1$--$\tilde{\chi}_1^0$ masses plane. The dashed lines and the shaded bands are the expected limit and its $\pm1\sigma$ uncertainty. The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty. The observed (a) and expected (b) CLs values are respectively shown.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b l \nu \tilde{\chi}_1^0$ with 100% branching ratio, in $\tilde{t}_1$--$\tilde{\chi}_1^0$ masses plane. The dashed lines and the shaded bands are the expected limit and its $\pm1\sigma$ uncertainty.The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty. The observed (a) and expected (b) CLs values are respectively shown.

Exclusion limit contour (95% CL) for a simplified model assuming $\tilde{t}_1$ pair production, decaying via $\tilde{t}_1 \rightarrow b l \nu \tilde{\chi}_1^0$ with 100% branching ratio, in $\tilde{t}_1$--$\tilde{\chi}_1^0$ masses plane. The dashed lines and the shaded bands are the expected limit and its $\pm1\sigma$ uncertainty.The thick solid lines are the observed limits for the central value of the signal cross-section. The expected and observed limits do not include the effect of the theoretical uncertainties in the signal cross-section. The dotted lines show the effect on the observed limit when varying the signal cross-section by $\pm1\sigma$ of the theoretical uncertainty. The observed (a) and expected (b) CLs values are respectively shown.

Exclusion limits for (a) $t\bar{t} + \phi $ scalar and (b) $t\bar{t} + a $ pseudoscalar models as a function of the DM particle mass for a mediator mass of 10 GeV. The limits are calculated at 95% CL and are expressed in terms of the ratio of the excluded cross-section to the nominal cross-section for a coupling assumption of $g = g_q = g_{\chi} = 1$. The solid (dashed) lines shows the observed (expected) exclusion limits.

Exclusion limits for (a) $t\bar{t} + \phi $ scalar and (b) $t\bar{t} + a $ pseudoscalar models as a function of the DM particle mass for a mediator mass of 10 GeV. The limits are calculated at 95% CL and are expressed in terms of the ratio of the excluded cross-section to the nominal cross-section for a coupling assumption of $g = g_q = g_{\chi} = 1$. The solid (dashed) lines shows the observed (expected) exclusion limits.

Exclusion limits for (a) $t\bar{t} + \phi $ scalar and (b) $t\bar{t} + a $ pseudoscalar models as a function of the DM particle mass for a mediator mass of 10 GeV. The limits are calculated at 95% CL and are expressed in terms of the ratio of the excluded cross-section to the nominal cross-section for a coupling assumption of $g = g_q = g_{\chi} = 1$. The solid (dashed) lines shows the observed (expected) exclusion limits.

Exclusion limits for (a) $t\bar{t} + \phi $ scalar and (b) $t\bar{t} + a $ pseudoscalar models as a function of the DM particle mass for a mediator mass of 10 GeV. The limits are calculated at 95% CL and are expressed in terms of the ratio of the excluded cross-section to the nominal cross-section for a coupling assumption of $g = g_q = g_{\chi} = 1$. The solid (dashed) lines shows the observed (expected) exclusion limits.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection efficiency (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Three-body selection efficiency (a) SR-DF$^{3-body}_{t}$, (b) SR-SF$^{3-body}_{t}$, (c) SR-DF$^{3-body}_{W}$, (d) SR-SF$^{3-body}_{W}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Three-body selection efficiency (a) SR-DF$^{3-body}_{t}$, (b) SR-SF$^{3-body}_{t}$, (c) SR-DF$^{3-body}_{W}$, (d) SR-SF$^{3-body}_{W}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Three-body selection efficiency (a) SR-DF$^{3-body}_{t}$, (b) SR-SF$^{3-body}_{t}$, (c) SR-DF$^{3-body}_{W}$, (d) SR-SF$^{3-body}_{W}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Three-body selection efficiency (a) SR-DF$^{3-body}_{t}$, (b) SR-SF$^{3-body}_{t}$, (c) SR-DF$^{3-body}_{W}$, (d) SR-SF$^{3-body}_{W}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Four-body selection Efficiency (a) SR$^{4-body}_{Small \Delta m}$ , (b) $SR^{4-body}_{Large \Delta m}$ for a simplified model assuming $\tilde{t}_1$ pair production.

Four-body selection Efficiency (a) SR$^{4-body}_{Small \Delta m}$ , (b) $SR^{4-body}_{Large \Delta\ m}$ for a simplified model assuming $\tilde{t}_1$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} +\phi$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ t \tilde{t} +\phi$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ t \tilde{t} +\phi$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ t \tilde{t} +\phi$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ t \tilde{t} +\phi$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $ t \tilde{t} +\phi$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + \phi$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection acceptance (a) SR-DF$^{2-body}_{[110,120)}$, (b) SR-DF1$^{2-body}_{[120,140)}$, (c) SR-DF2$^{2-body}_{[140,160)}$, (d) SR-DF3$^{2-body}_{[160,180)}$, (e) SR-DF4$^{2-body}_{[180,220)}$, (f) SR-DF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming t \tilde{t} + a$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection acceptance (a) SR-SF$^{2-body}_{[110,120)}$, (b) SR-SF1$^{2-body}_{[120,140)}$, (c) SR-SF2$^{2-body}_{[140,160)}$, (d) SR-SF3$^{2-body}_{[160,180)}$, (e) SR-SF4$^{2-body}_{[180,220)}$, (f) SR-SF5$^{2-body}_{[220,\infty)}$ for a simplified model assuming $t \tilde{t} + a$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Two-body selection acceptance (a) $SR^{2-body}_{[110,\infty)}$ , (b) $SR^{2-body}_{[120,\infty)}$ , (c) $SR^{2-body}_{[140,\infty)}$ , (d) $SR^{2-body}_{[160,\infty)}$ , (e) $SR^{2-body}_{[180,\infty)}$ , (f) $SR^{2-body}_{[200,\infty)}$ , (g) $SR^{2-body}_{[220,\infty)}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Three-body selection acceptance (a) SR-DF$^{3-body}_{t}$, (b) SR-SF$^{3-body}_{t}$, (c) SR-DF$^{3-body}_{W}$, (d) SR-SF$^{3-body}_{W}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Three-body selection acceptance (a) SR-DF$^{3-body}_{t}$, (b) SR-SF$^{3-body}_{t}$, (c) SR-DF$^{3-body}_{W}$, (d) SR-SF$^{3-body}_{W}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Three-body selection acceptance (a) SR-DF$^{3-body}_{t}$, (b) SR-SF$^{3-body}_{t}$, (c) SR-DF$^{3-body}_{W}$, (d) SR-SF$^{3-body}_{W}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Three-body selection acceptance (a) SR-DF$^{3-body}_{t}$, (b) SR-SF$^{3-body}_{t}$, (c) SR-DF$^{3-body}_{W}$, (d) SR-SF$^{3-body}_{W}$ for a simplified model assuming $ \tilde{t}_1$ pair production.

Four-body selection acceptance (a) SR$^{4-body}_{Small \Delta m}$ , (b) $SR^{4-body}_{Large \Delta m}$ for a simplified model assuming $\tilde{t}_1$ pair production.

Four-body selection acceptance (a) SR$^{4-body}_{Small \Delta m}$ , (b) $SR^{4-body}_{Large \Delta m}$ for a simplified model assuming $\tilde{t}_1$ pair production.

Two-body selection The numbers indicate the observed upper limits on the signal strenght for (a) a simplified model assuming $\tilde{t}_1$ pair production, (b) for $t\tilde{t} + a $ pseudoscalar models, (c) for $t\tilde{t} + \phi $ scalar models. In Figure (a), the red line corresponds to the observed limit.

Two-body selection The numbers indicate the observed upper limits on the signal strenght for (a) a simplified model assuming $\tilde{t}_1$ pair production, (b) for $t\tilde{t} + a $ pseudoscalar models, (c) for $t\tilde{t} + \phi $ scalar models. In Figure (a), the red line corresponds to the observed limit.

Two-body selection The numbers indicate the observed upper limits on the signal strenght for (a) a simplified model assuming $\tilde{t}_1$ pair production, (b) for $t\tilde{t} + a $ pseudoscalar models, (c) for $t\tilde{t} + \phi $ scalar models. In Figure (a), the red line corresponds to the observed limit.

Three-body selection The numbers indicate the upper limits on the signal strenght for a simplified model assuming $\tilde{t}_1$ pair production. For comparison, the red line corresponds to the observed limit.

Four-body selection The numbers indicate the upper limits on the signal strenght for a simplified model assuming $\tilde{t}_1$ pair production. For comparison, the red line corresponds to the observed limit.

Two-body selection The numbers indicate the upper limits on the signal cross-section for (a) a simplified model assuming $\tilde{t}_1$ pair production, (b) for $t\tilde{t} + a $ pseudoscalar models, (c) for $t\tilde{t} + \phi $ scalar models. In Figure (a), the red line corresponds to the observed limit.

Two-body selection The numbers indicate the upper limits on the signal cross-section for (a) a simplified model assuming $\tilde{t}_1$ pair production, (b) for $t\tilde{t} + a $ pseudoscalar models, (c) for $t\tilde{t} + \phi $ scalar models. In Figure (a), the red line corresponds to the observed limit.

Two-body selection The numbers indicate the upper limits on the signal cross-section for (a) a simplified model assuming $\tilde{t}_1$ pair production, (b) for $t\tilde{t} + a $ pseudoscalar models, (c) for $t\tilde{t} + \phi $ scalar models. In Figure (a), the red line corresponds to the observed limit.

Three-body selection The numbers indicate the upper limits on the signal cross-section for a simplified model assuming $\tilde{t}_1$ pair production. For comparison, the red line corresponds to the observed limit.

Four-body selection The numbers indicate the upper limits on the signal cross-section for a simplified model assuming $\tilde{t}_1$ pair production. For comparison, the red line corresponds to the observed limit.

Two-body selection. Background fit results for the $inclusive$ SRs. The Others category contains the contributions from $VVV$, $t\bar{t} t$, $t\bar{t}t\bar{t}$, $t\bar{t} W$, $t\bar{t} WW$, $t\bar{t} WZ$, $t\bar{t} H$, and $tZ$. Combined statistical and systematic uncertainties are given. Note that the individual uncertainties can be correlated, and do not necessarily add up quadratically to the total background uncertainty.

Cut flow for the simplified signal model $\tilde{t}_1 \rightarrow t^{(*)}\tilde{\chi}^0_1$ with $m(\tilde{t}_1)=600~ GeV$ and $m(\tilde{\chi}^0_1)=400~ GeV$ in the SRs for the two-body selection. The number of events is normalized to the cross-section and to an integrated luminosity of $139~fb^{-1}$.

Cut flow for the scalar signal model $t\bar{t} + \phi $ with $m(\phi)=150~ GeV$ and $m(\chi)=1~ GeV$ in the SRs for the two-body selection. The number of events is normalized to the cross-section and to an integrated luminosity of $139~fb^{-1}$.

Cut flow for the pseudoscalar signal model $t\bar{t} + a $ with $m(a)=150~ GeV$ and $m(\chi)=1~ GeV$ in the SRs for the two-body selection. The number of events is normalized to the cross-section and to an integrated luminosity of $139~fb^{-1}$.

Cut flow for the simplified signal model $\tilde{t}_1 \rightarrow bW\tilde{\chi}^0_1$ with $m(\tilde{t}_1)=550~ GeV$ and $m(\tilde{\chi}^0_1)=385~ GeV$ in the SRs for the three-body selection. The number of events is normalized to the cross-section and to an integrated luminosity of $139~fb^{-1}$.

Cut flow for the simplified signal model $\tilde{t}_1 \rightarrow bW\tilde{\chi}^0_1$ with $m(\tilde{t}_1)=550~ GeV$ and $m(\tilde{\chi}^0_1)=400~ GeV$ in the SRs for the three-body selection. The number of events is normalized to the cross-section and to an integrated luminosity of $139~fb^{-1}$.

Cut flow for the simplified signal model $\tilde{t}_1 \rightarrow bW\tilde{\chi}^0_1$ with $m(\tilde{t}_1)=550~ GeV$ and $m(\tilde{\chi}^0_1)=430~ GeV$ in the SRs for the three-body selection. The number of events is normalized to the cross-section and to an integrated luminosity of $139~fb^{-1}$.

Cut flow for the simplified signal model $\tilde{t}_1 \rightarrow bW\tilde{\chi}^0_1$ with $m(\tilde{t}_1)=550~ GeV$ and $m(\tilde{\chi}^0_1)=460~ GeV$ in the SRs for the three-body selection. The number of events is normalized to the cross-section and to an integrated luminosity of $139~fb^{-1}$.

Cut flow for the simplified signal model $\tilde{t}_1 \rightarrow b l \nu \tilde{\chi}^0_1$ with $m(\tilde{t}_1)=400~ GeV$ and $m(\tilde{\chi}^0_1)=380~ GeV$ in the SRs for the four-body selection. The number of events is normalized to the cross-section and to an integrated luminosity of $139~fb^{-1}$.

Cut flow for the simplified signal model $\tilde{t}_1 \rightarrow b l \nu \tilde{\chi}^0_1$ with $m(\tilde{t}_1)=460~ GeV$ and $m(\tilde{\chi}^0_1)=415~ GeV$ in the SRs for the four-body selection. The number of events is normalized to the cross-section and to an integrated luminosity of $139~fb^{-1}$.

Cut flow for the simplified signal model $\tilde{t}_1 \rightarrow b l \nu \tilde{\chi}^0_1$ with $m(\tilde{t}_1)=400~ GeV$ and $m(\tilde{\chi}^0_1)=320~ GeV$ in the SRs for the four-body selection. The number of events is normalized to the cross-section and to an integrated luminosity of $139~fb^{-1}$.

$\langle n_{ch} \rangle$, central jet.

$\langle \zeta \rangle$, forward jet.

$\langle \zeta \rangle$, forward jet.

$\langle \zeta \rangle$, central jet.

$\langle \zeta \rangle$, central jet.

$\langle p_{T}^{rel} / GeV \rangle$, forward jet.

$\langle p_{T}^{rel} / GeV \rangle$, forward jet.

$\langle p_{T}^{rel} / GeV \rangle$, central jet.

$\langle p_{T}^{rel} / GeV \rangle$, central jet.

$\langle r \rangle$, forward jet.

$\langle r \rangle$, forward jet.

$\langle r \rangle$, central jet.

$\langle r \rangle$, central jet.

$\langle n_{ch} \rangle$, both jets.

$\langle n_{ch} \rangle$, both jets.

$\langle \zeta \rangle$, combined jet.

$\langle \zeta \rangle$, combined jet.

$\langle p_{T}^{rel} / GeV \rangle$, both jets.

$\langle p_{T}^{rel} / GeV \rangle$, both jets.

$\langle r \rangle$, both jets.

$\langle r \rangle$, both jets.

$n_{ch}$ , 100 GeV < Jet p_{T} < 200 GeV, both jets.

$n_{ch}$ , 100 GeV < Jet p_{T} < 200 GeV, both jets.

$n_{ch}$ , 200 GeV < Jet p_{T} < 300 GeV, both jets.

$n_{ch}$ , 200 GeV < Jet p_{T} < 300 GeV, both jets.

$n_{ch}$ , 300 GeV < Jet p_{T} < 400 GeV, both jets.

$n_{ch}$ , 300 GeV < Jet p_{T} < 400 GeV, both jets.

$n_{ch}$ , 400 GeV < Jet p_{T} < 500 GeV, both jets.

$n_{ch}$ , 400 GeV < Jet p_{T} < 500 GeV, both jets.

$n_{ch}$ , 500 GeV < Jet p_{T} < 600 GeV, both jets.

$n_{ch}$ , 500 GeV < Jet p_{T} < 600 GeV, both jets.

$n_{ch}$ , 600 GeV < Jet p_{T} < 700 GeV, both jets.

$n_{ch}$ , 600 GeV < Jet p_{T} < 700 GeV, both jets.

$n_{ch}$ , 700 GeV < Jet p_{T} < 800 GeV, both jets.

$n_{ch}$ , 700 GeV < Jet p_{T} < 800 GeV, both jets.

$n_{ch}$ , 800 GeV < Jet p_{T} < 900 GeV, both jets.

$n_{ch}$ , 800 GeV < Jet p_{T} < 900 GeV, both jets.

$n_{ch}$ , 900 GeV < Jet p_{T} < 1000 GeV, both jets.

$n_{ch}$ , 900 GeV < Jet p_{T} < 1000 GeV, both jets.

$n_{ch}$ , 1000 GeV < Jet p_{T} < 1200 GeV, both jets.

$n_{ch}$ , 1000 GeV < Jet p_{T} < 1200 GeV, both jets.

$n_{ch}$ , 1200 GeV < Jet p_{T} < 1400 GeV, both jets.

$n_{ch}$ , 1200 GeV < Jet p_{T} < 1400 GeV, both jets.

$n_{ch}$ , 1400 GeV < Jet p_{T} < 1600 GeV, both jets.

$n_{ch}$ , 1400 GeV < Jet p_{T} < 1600 GeV, both jets.

$n_{ch}$ , 1600 GeV < Jet p_{T} < 2000 GeV, both jets.

$n_{ch}$ , 1600 GeV < Jet p_{T} < 2000 GeV, both jets.

$n_{ch}$ , 2000 GeV < Jet p_{T} < 2500 GeV, both jets.

$n_{ch}$ , 2000 GeV < Jet p_{T} < 2500 GeV, both jets.

$r$ , 100 GeV < Jet p_{T} < 200 GeV, both jets.

$r$ , 100 GeV < Jet p_{T} < 200 GeV, both jets.

$r$ , 200 GeV < Jet p_{T} < 300 GeV, both jets.

$r$ , 200 GeV < Jet p_{T} < 300 GeV, both jets.

$r$ , 300 GeV < Jet p_{T} < 400 GeV, both jets.

$r$ , 300 GeV < Jet p_{T} < 400 GeV, both jets.

$r$ , 400 GeV < Jet p_{T} < 500 GeV, both jets.

$r$ , 400 GeV < Jet p_{T} < 500 GeV, both jets.

$r$ , 500 GeV < Jet p_{T} < 600 GeV, both jets.

$r$ , 500 GeV < Jet p_{T} < 600 GeV, both jets.

$r$ , 600 GeV < Jet p_{T} < 700 GeV, both jets.

$r$ , 600 GeV < Jet p_{T} < 700 GeV, both jets.

$r$ , 700 GeV < Jet p_{T} < 800 GeV, both jets.

$r$ , 700 GeV < Jet p_{T} < 800 GeV, both jets.

$r$ , 800 GeV < Jet p_{T} < 900 GeV, both jets.

$r$ , 800 GeV < Jet p_{T} < 900 GeV, both jets.

$r$ , 900 GeV < Jet p_{T} < 1000 GeV, both jets.

$r$ , 900 GeV < Jet p_{T} < 1000 GeV, both jets.

$r$ , 1000 GeV < Jet p_{T} < 1200 GeV, both jets.

$r$ , 1000 GeV < Jet p_{T} < 1200 GeV, both jets.

$r$ , 1200 GeV < Jet p_{T} < 1400 GeV, both jets.

$r$ , 1200 GeV < Jet p_{T} < 1400 GeV, both jets.

$r$ , 1400 GeV < Jet p_{T} < 1600 GeV, both jets.

$r$ , 1400 GeV < Jet p_{T} < 1600 GeV, both jets.

$r$ , 1600 GeV < Jet p_{T} < 2000 GeV, both jets.

$r$ , 1600 GeV < Jet p_{T} < 2000 GeV, both jets.

$r$ , 2000 GeV < Jet p_{T} < 2500 GeV, both jets.

$r$ , 2000 GeV < Jet p_{T} < 2500 GeV, both jets.

$\zeta$ , 100 GeV < Jet p_{T} < 200 GeV, both jets.

$\zeta$ , 100 GeV < Jet p_{T} < 200 GeV, both jets.

$\zeta$ , 200 GeV < Jet p_{T} < 300 GeV, both jets.

$\zeta$ , 200 GeV < Jet p_{T} < 300 GeV, both jets.

$\zeta$ , 300 GeV < Jet p_{T} < 400 GeV, both jets.

$\zeta$ , 300 GeV < Jet p_{T} < 400 GeV, both jets.

$\zeta$ , 400 GeV < Jet p_{T} < 500 GeV, both jets.

$\zeta$ , 400 GeV < Jet p_{T} < 500 GeV, both jets.

$\zeta$ , 500 GeV < Jet p_{T} < 600 GeV, both jets.

$\zeta$ , 500 GeV < Jet p_{T} < 600 GeV, both jets.

$\zeta$ , 600 GeV < Jet p_{T} < 700 GeV, both jets.

$\zeta$ , 600 GeV < Jet p_{T} < 700 GeV, both jets.

$\zeta$ , 700 GeV < Jet p_{T} < 800 GeV, both jets.

$\zeta$ , 700 GeV < Jet p_{T} < 800 GeV, both jets.

$\zeta$ , 800 GeV < Jet p_{T} < 900 GeV, both jets.

$\zeta$ , 800 GeV < Jet p_{T} < 900 GeV, both jets.

$\zeta$ , 900 GeV < Jet p_{T} < 1000 GeV, both jets.

$\zeta$ , 900 GeV < Jet p_{T} < 1000 GeV, both jets.

$\zeta$ , 1000 GeV < Jet p_{T} < 1200 GeV, both jets.

$\zeta$ , 1000 GeV < Jet p_{T} < 1200 GeV, both jets.

$\zeta$ , 1200 GeV < Jet p_{T} < 1400 GeV, both jets.

$\zeta$ , 1200 GeV < Jet p_{T} < 1400 GeV, both jets.

$\zeta$ , 1400 GeV < Jet p_{T} < 1600 GeV, both jets.

$\zeta$ , 1400 GeV < Jet p_{T} < 1600 GeV, both jets.

$\zeta$ , 1600 GeV < Jet p_{T} < 2000 GeV, both jets.

$\zeta$ , 1600 GeV < Jet p_{T} < 2000 GeV, both jets.

$\zeta$ , 2000 GeV < Jet p_{T} < 2500 GeV, both jets.

$\zeta$ , 2000 GeV < Jet p_{T} < 2500 GeV, both jets.

$p_{T}^{rel} / GeV$ , 100 GeV < Jet p_{T} < 200 GeV, both jets.

$p_{T}^{rel} / GeV$ , 100 GeV < Jet p_{T} < 200 GeV, both jets.

$p_{T}^{rel} / GeV$ , 200 GeV < Jet p_{T} < 300 GeV, both jets.

$p_{T}^{rel} / GeV$ , 200 GeV < Jet p_{T} < 300 GeV, both jets.

$p_{T}^{rel} / GeV$ , 300 GeV < Jet p_{T} < 400 GeV, both jets.

$p_{T}^{rel} / GeV$ , 300 GeV < Jet p_{T} < 400 GeV, both jets.

$p_{T}^{rel} / GeV$ , 400 GeV < Jet p_{T} < 500 GeV, both jets.

$p_{T}^{rel} / GeV$ , 400 GeV < Jet p_{T} < 500 GeV, both jets.

$p_{T}^{rel} / GeV$ , 500 GeV < Jet p_{T} < 600 GeV, both jets.

$p_{T}^{rel} / GeV$ , 500 GeV < Jet p_{T} < 600 GeV, both jets.

$p_{T}^{rel} / GeV$ , 600 GeV < Jet p_{T} < 700 GeV, both jets.

$p_{T}^{rel} / GeV$ , 600 GeV < Jet p_{T} < 700 GeV, both jets.

$p_{T}^{rel} / GeV$ , 700 GeV < Jet p_{T} < 800 GeV, both jets.

$p_{T}^{rel} / GeV$ , 700 GeV < Jet p_{T} < 800 GeV, both jets.

$p_{T}^{rel} / GeV$ , 800 GeV < Jet p_{T} < 900 GeV, both jets.

$p_{T}^{rel} / GeV$ , 800 GeV < Jet p_{T} < 900 GeV, both jets.

$p_{T}^{rel} / GeV$ , 900 GeV < Jet p_{T} < 1000 GeV, both jets.

$p_{T}^{rel} / GeV$ , 900 GeV < Jet p_{T} < 1000 GeV, both jets.

$p_{T}^{rel} / GeV$ , 1000 GeV < Jet p_{T} < 1200 GeV, both jets.

$p_{T}^{rel} / GeV$ , 1000 GeV < Jet p_{T} < 1200 GeV, both jets.

$p_{T}^{rel} / GeV$ , 1200 GeV < Jet p_{T} < 1400 GeV, both jets.

$p_{T}^{rel} / GeV$ , 1200 GeV < Jet p_{T} < 1400 GeV, both jets.

$p_{T}^{rel} / GeV$ , 1400 GeV < Jet p_{T} < 1600 GeV, both jets.

$p_{T}^{rel} / GeV$ , 1400 GeV < Jet p_{T} < 1600 GeV, both jets.

$p_{T}^{rel} / GeV$ , 1600 GeV < Jet p_{T} < 2000 GeV, both jets.

$p_{T}^{rel} / GeV$ , 1600 GeV < Jet p_{T} < 2000 GeV, both jets.

$p_{T}^{rel} / GeV$ , 2000 GeV < Jet p_{T} < 2500 GeV, both jets.

$p_{T}^{rel} / GeV$ , 2000 GeV < Jet p_{T} < 2500 GeV, both jets.

$n_{ch}$ , 100 GeV < Jet p_{T} < 200 GeV, more forward jet.

$n_{ch}$ , 100 GeV < Jet p_{T} < 200 GeV, more forward jet.

$n_{ch}$ , 200 GeV < Jet p_{T} < 300 GeV, more forward jet.

$n_{ch}$ , 200 GeV < Jet p_{T} < 300 GeV, more forward jet.

$n_{ch}$ , 300 GeV < Jet p_{T} < 400 GeV, more forward jet.

$n_{ch}$ , 300 GeV < Jet p_{T} < 400 GeV, more forward jet.

$n_{ch}$ , 400 GeV < Jet p_{T} < 500 GeV, more forward jet.

$n_{ch}$ , 400 GeV < Jet p_{T} < 500 GeV, more forward jet.

$n_{ch}$ , 500 GeV < Jet p_{T} < 600 GeV, more forward jet.

$n_{ch}$ , 500 GeV < Jet p_{T} < 600 GeV, more forward jet.

$n_{ch}$ , 600 GeV < Jet p_{T} < 700 GeV, more forward jet.

$n_{ch}$ , 600 GeV < Jet p_{T} < 700 GeV, more forward jet.

$n_{ch}$ , 700 GeV < Jet p_{T} < 800 GeV, more forward jet.

$n_{ch}$ , 700 GeV < Jet p_{T} < 800 GeV, more forward jet.

$n_{ch}$ , 800 GeV < Jet p_{T} < 900 GeV, more forward jet.

$n_{ch}$ , 800 GeV < Jet p_{T} < 900 GeV, more forward jet.

$n_{ch}$ , 900 GeV < Jet p_{T} < 1000 GeV, more forward jet.

$n_{ch}$ , 900 GeV < Jet p_{T} < 1000 GeV, more forward jet.

$n_{ch}$ , 1000 GeV < Jet p_{T} < 1200 GeV, more forward jet.

$n_{ch}$ , 1000 GeV < Jet p_{T} < 1200 GeV, more forward jet.

$n_{ch}$ , 1200 GeV < Jet p_{T} < 1400 GeV, more forward jet.

$n_{ch}$ , 1200 GeV < Jet p_{T} < 1400 GeV, more forward jet.

$n_{ch}$ , 1400 GeV < Jet p_{T} < 1600 GeV, more forward jet.

$n_{ch}$ , 1400 GeV < Jet p_{T} < 1600 GeV, more forward jet.

$n_{ch}$ , 1600 GeV < Jet p_{T} < 2000 GeV, more forward jet.

$n_{ch}$ , 1600 GeV < Jet p_{T} < 2000 GeV, more forward jet.

$n_{ch}$ , 2000 GeV < Jet p_{T} < 2500 GeV, more forward jet.

$n_{ch}$ , 2000 GeV < Jet p_{T} < 2500 GeV, more forward jet.

$r$ , 100 GeV < Jet p_{T} < 200 GeV, more forward jet.

$r$ , 100 GeV < Jet p_{T} < 200 GeV, more forward jet.

$r$ , 200 GeV < Jet p_{T} < 300 GeV, more forward jet.

$r$ , 200 GeV < Jet p_{T} < 300 GeV, more forward jet.

$r$ , 300 GeV < Jet p_{T} < 400 GeV, more forward jet.

$r$ , 300 GeV < Jet p_{T} < 400 GeV, more forward jet.

$r$ , 400 GeV < Jet p_{T} < 500 GeV, more forward jet.

$r$ , 400 GeV < Jet p_{T} < 500 GeV, more forward jet.

$r$ , 500 GeV < Jet p_{T} < 600 GeV, more forward jet.

$r$ , 500 GeV < Jet p_{T} < 600 GeV, more forward jet.

$r$ , 600 GeV < Jet p_{T} < 700 GeV, more forward jet.

$r$ , 600 GeV < Jet p_{T} < 700 GeV, more forward jet.

$r$ , 700 GeV < Jet p_{T} < 800 GeV, more forward jet.

$r$ , 700 GeV < Jet p_{T} < 800 GeV, more forward jet.

$r$ , 800 GeV < Jet p_{T} < 900 GeV, more forward jet.

$r$ , 800 GeV < Jet p_{T} < 900 GeV, more forward jet.

$r$ , 900 GeV < Jet p_{T} < 1000 GeV, more forward jet.

$r$ , 900 GeV < Jet p_{T} < 1000 GeV, more forward jet.

$r$ , 1000 GeV < Jet p_{T} < 1200 GeV, more forward jet.

$r$ , 1000 GeV < Jet p_{T} < 1200 GeV, more forward jet.

$r$ , 1200 GeV < Jet p_{T} < 1400 GeV, more forward jet.

$r$ , 1200 GeV < Jet p_{T} < 1400 GeV, more forward jet.

$r$ , 1400 GeV < Jet p_{T} < 1600 GeV, more forward jet.

$r$ , 1400 GeV < Jet p_{T} < 1600 GeV, more forward jet.

$r$ , 1600 GeV < Jet p_{T} < 2000 GeV, more forward jet.

$r$ , 1600 GeV < Jet p_{T} < 2000 GeV, more forward jet.

$r$ , 2000 GeV < Jet p_{T} < 2500 GeV, more forward jet.

$r$ , 2000 GeV < Jet p_{T} < 2500 GeV, more forward jet.

$\zeta$ , 100 GeV < Jet p_{T} < 200 GeV, more forward jet.

$\zeta$ , 100 GeV < Jet p_{T} < 200 GeV, more forward jet.

$\zeta$ , 200 GeV < Jet p_{T} < 300 GeV, more forward jet.

$\zeta$ , 200 GeV < Jet p_{T} < 300 GeV, more forward jet.

$\zeta$ , 300 GeV < Jet p_{T} < 400 GeV, more forward jet.

$\zeta$ , 300 GeV < Jet p_{T} < 400 GeV, more forward jet.

$\zeta$ , 400 GeV < Jet p_{T} < 500 GeV, more forward jet.

$\zeta$ , 400 GeV < Jet p_{T} < 500 GeV, more forward jet.

$\zeta$ , 500 GeV < Jet p_{T} < 600 GeV, more forward jet.

$\zeta$ , 500 GeV < Jet p_{T} < 600 GeV, more forward jet.

$\zeta$ , 600 GeV < Jet p_{T} < 700 GeV, more forward jet.

$\zeta$ , 600 GeV < Jet p_{T} < 700 GeV, more forward jet.

$\zeta$ , 700 GeV < Jet p_{T} < 800 GeV, more forward jet.

$\zeta$ , 700 GeV < Jet p_{T} < 800 GeV, more forward jet.

$\zeta$ , 800 GeV < Jet p_{T} < 900 GeV, more forward jet.

$\zeta$ , 800 GeV < Jet p_{T} < 900 GeV, more forward jet.

$\zeta$ , 900 GeV < Jet p_{T} < 1000 GeV, more forward jet.

$\zeta$ , 900 GeV < Jet p_{T} < 1000 GeV, more forward jet.

$\zeta$ , 1000 GeV < Jet p_{T} < 1200 GeV, more forward jet.

$\zeta$ , 1000 GeV < Jet p_{T} < 1200 GeV, more forward jet.

$\zeta$ , 1200 GeV < Jet p_{T} < 1400 GeV, more forward jet.

$\zeta$ , 1200 GeV < Jet p_{T} < 1400 GeV, more forward jet.

$\zeta$ , 1400 GeV < Jet p_{T} < 1600 GeV, more forward jet.

$\zeta$ , 1400 GeV < Jet p_{T} < 1600 GeV, more forward jet.

$\zeta$ , 1600 GeV < Jet p_{T} < 2000 GeV, more forward jet.

$\zeta$ , 1600 GeV < Jet p_{T} < 2000 GeV, more forward jet.

$\zeta$ , 2000 GeV < Jet p_{T} < 2500 GeV, more forward jet.

$\zeta$ , 2000 GeV < Jet p_{T} < 2500 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 100 GeV < Jet p_{T} < 200 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 100 GeV < Jet p_{T} < 200 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 200 GeV < Jet p_{T} < 300 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 200 GeV < Jet p_{T} < 300 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 300 GeV < Jet p_{T} < 400 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 300 GeV < Jet p_{T} < 400 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 400 GeV < Jet p_{T} < 500 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 400 GeV < Jet p_{T} < 500 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 500 GeV < Jet p_{T} < 600 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 500 GeV < Jet p_{T} < 600 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 600 GeV < Jet p_{T} < 700 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 600 GeV < Jet p_{T} < 700 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 700 GeV < Jet p_{T} < 800 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 700 GeV < Jet p_{T} < 800 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 800 GeV < Jet p_{T} < 900 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 800 GeV < Jet p_{T} < 900 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 900 GeV < Jet p_{T} < 1000 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 900 GeV < Jet p_{T} < 1000 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 1000 GeV < Jet p_{T} < 1200 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 1000 GeV < Jet p_{T} < 1200 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 1200 GeV < Jet p_{T} < 1400 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 1200 GeV < Jet p_{T} < 1400 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 1400 GeV < Jet p_{T} < 1600 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 1400 GeV < Jet p_{T} < 1600 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 1600 GeV < Jet p_{T} < 2000 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 1600 GeV < Jet p_{T} < 2000 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 2000 GeV < Jet p_{T} < 2500 GeV, more forward jet.

$p_{T}^{rel} / GeV$ , 2000 GeV < Jet p_{T} < 2500 GeV, more forward jet.

$n_{ch}$ , 100 GeV < Jet p_{T} < 200 GeV, more central jet.

$n_{ch}$ , 100 GeV < Jet p_{T} < 200 GeV, more central jet.

$n_{ch}$ , 200 GeV < Jet p_{T} < 300 GeV, more central jet.

$n_{ch}$ , 200 GeV < Jet p_{T} < 300 GeV, more central jet.

$n_{ch}$ , 300 GeV < Jet p_{T} < 400 GeV, more central jet.

$n_{ch}$ , 300 GeV < Jet p_{T} < 400 GeV, more central jet.

$n_{ch}$ , 400 GeV < Jet p_{T} < 500 GeV, more central jet.

$n_{ch}$ , 400 GeV < Jet p_{T} < 500 GeV, more central jet.

$n_{ch}$ , 500 GeV < Jet p_{T} < 600 GeV, more central jet.

$n_{ch}$ , 500 GeV < Jet p_{T} < 600 GeV, more central jet.

$n_{ch}$ , 600 GeV < Jet p_{T} < 700 GeV, more central jet.

$n_{ch}$ , 600 GeV < Jet p_{T} < 700 GeV, more central jet.

$n_{ch}$ , 700 GeV < Jet p_{T} < 800 GeV, more central jet.

$n_{ch}$ , 700 GeV < Jet p_{T} < 800 GeV, more central jet.

$n_{ch}$ , 800 GeV < Jet p_{T} < 900 GeV, more central jet.

$n_{ch}$ , 800 GeV < Jet p_{T} < 900 GeV, more central jet.

$n_{ch}$ , 900 GeV < Jet p_{T} < 1000 GeV, more central jet.

$n_{ch}$ , 900 GeV < Jet p_{T} < 1000 GeV, more central jet.

$n_{ch}$ , 1000 GeV < Jet p_{T} < 1200 GeV, more central jet.

$n_{ch}$ , 1000 GeV < Jet p_{T} < 1200 GeV, more central jet.

$n_{ch}$ , 1200 GeV < Jet p_{T} < 1400 GeV, more central jet.

$n_{ch}$ , 1200 GeV < Jet p_{T} < 1400 GeV, more central jet.

$n_{ch}$ , 1400 GeV < Jet p_{T} < 1600 GeV, more central jet.

$n_{ch}$ , 1400 GeV < Jet p_{T} < 1600 GeV, more central jet.

$n_{ch}$ , 1600 GeV < Jet p_{T} < 2000 GeV, more central jet.

$n_{ch}$ , 1600 GeV < Jet p_{T} < 2000 GeV, more central jet.

$n_{ch}$ , 2000 GeV < Jet p_{T} < 2500 GeV, more central jet.

$n_{ch}$ , 2000 GeV < Jet p_{T} < 2500 GeV, more central jet.

$r$ , 100 GeV < Jet p_{T} < 200 GeV, more central jet.

$r$ , 100 GeV < Jet p_{T} < 200 GeV, more central jet.

$r$ , 200 GeV < Jet p_{T} < 300 GeV, more central jet.

$r$ , 200 GeV < Jet p_{T} < 300 GeV, more central jet.

$r$ , 300 GeV < Jet p_{T} < 400 GeV, more central jet.

$r$ , 300 GeV < Jet p_{T} < 400 GeV, more central jet.

$r$ , 400 GeV < Jet p_{T} < 500 GeV, more central jet.

$r$ , 400 GeV < Jet p_{T} < 500 GeV, more central jet.

$r$ , 500 GeV < Jet p_{T} < 600 GeV, more central jet.

$r$ , 500 GeV < Jet p_{T} < 600 GeV, more central jet.

$r$ , 600 GeV < Jet p_{T} < 700 GeV, more central jet.

$r$ , 600 GeV < Jet p_{T} < 700 GeV, more central jet.

$r$ , 700 GeV < Jet p_{T} < 800 GeV, more central jet.

$r$ , 700 GeV < Jet p_{T} < 800 GeV, more central jet.

$r$ , 800 GeV < Jet p_{T} < 900 GeV, more central jet.

$r$ , 800 GeV < Jet p_{T} < 900 GeV, more central jet.

$r$ , 900 GeV < Jet p_{T} < 1000 GeV, more central jet.

$r$ , 900 GeV < Jet p_{T} < 1000 GeV, more central jet.

$r$ , 1000 GeV < Jet p_{T} < 1200 GeV, more central jet.

$r$ , 1000 GeV < Jet p_{T} < 1200 GeV, more central jet.

$r$ , 1200 GeV < Jet p_{T} < 1400 GeV, more central jet.

$r$ , 1200 GeV < Jet p_{T} < 1400 GeV, more central jet.

$r$ , 1400 GeV < Jet p_{T} < 1600 GeV, more central jet.

$r$ , 1400 GeV < Jet p_{T} < 1600 GeV, more central jet.

$r$ , 1600 GeV < Jet p_{T} < 2000 GeV, more central jet.

$r$ , 1600 GeV < Jet p_{T} < 2000 GeV, more central jet.

$r$ , 2000 GeV < Jet p_{T} < 2500 GeV, more central jet.

$r$ , 2000 GeV < Jet p_{T} < 2500 GeV, more central jet.

$\zeta$ , 100 GeV < Jet p_{T} < 200 GeV, more central jet.

$\zeta$ , 100 GeV < Jet p_{T} < 200 GeV, more central jet.

$\zeta$ , 200 GeV < Jet p_{T} < 300 GeV, more central jet.

$\zeta$ , 200 GeV < Jet p_{T} < 300 GeV, more central jet.

$\zeta$ , 300 GeV < Jet p_{T} < 400 GeV, more central jet.

$\zeta$ , 300 GeV < Jet p_{T} < 400 GeV, more central jet.

$\zeta$ , 400 GeV < Jet p_{T} < 500 GeV, more central jet.

$\zeta$ , 400 GeV < Jet p_{T} < 500 GeV, more central jet.

$\zeta$ , 500 GeV < Jet p_{T} < 600 GeV, more central jet.

$\zeta$ , 500 GeV < Jet p_{T} < 600 GeV, more central jet.

$\zeta$ , 600 GeV < Jet p_{T} < 700 GeV, more central jet.

$\zeta$ , 600 GeV < Jet p_{T} < 700 GeV, more central jet.

$\zeta$ , 700 GeV < Jet p_{T} < 800 GeV, more central jet.

$\zeta$ , 700 GeV < Jet p_{T} < 800 GeV, more central jet.

$\zeta$ , 800 GeV < Jet p_{T} < 900 GeV, more central jet.

$\zeta$ , 800 GeV < Jet p_{T} < 900 GeV, more central jet.

$\zeta$ , 900 GeV < Jet p_{T} < 1000 GeV, more central jet.

$\zeta$ , 900 GeV < Jet p_{T} < 1000 GeV, more central jet.

$\zeta$ , 1000 GeV < Jet p_{T} < 1200 GeV, more central jet.

$\zeta$ , 1000 GeV < Jet p_{T} < 1200 GeV, more central jet.

$\zeta$ , 1200 GeV < Jet p_{T} < 1400 GeV, more central jet.

$\zeta$ , 1200 GeV < Jet p_{T} < 1400 GeV, more central jet.

$\zeta$ , 1400 GeV < Jet p_{T} < 1600 GeV, more central jet.

$\zeta$ , 1400 GeV < Jet p_{T} < 1600 GeV, more central jet.

$\zeta$ , 1600 GeV < Jet p_{T} < 2000 GeV, more central jet.

$\zeta$ , 1600 GeV < Jet p_{T} < 2000 GeV, more central jet.

$\zeta$ , 2000 GeV < Jet p_{T} < 2500 GeV, more central jet.

$\zeta$ , 2000 GeV < Jet p_{T} < 2500 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 100 GeV < Jet p_{T} < 200 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 100 GeV < Jet p_{T} < 200 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 200 GeV < Jet p_{T} < 300 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 200 GeV < Jet p_{T} < 300 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 300 GeV < Jet p_{T} < 400 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 300 GeV < Jet p_{T} < 400 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 400 GeV < Jet p_{T} < 500 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 400 GeV < Jet p_{T} < 500 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 500 GeV < Jet p_{T} < 600 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 500 GeV < Jet p_{T} < 600 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 600 GeV < Jet p_{T} < 700 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 600 GeV < Jet p_{T} < 700 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 700 GeV < Jet p_{T} < 800 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 700 GeV < Jet p_{T} < 800 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 800 GeV < Jet p_{T} < 900 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 800 GeV < Jet p_{T} < 900 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 900 GeV < Jet p_{T} < 1000 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 900 GeV < Jet p_{T} < 1000 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 1000 GeV < Jet p_{T} < 1200 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 1000 GeV < Jet p_{T} < 1200 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 1200 GeV < Jet p_{T} < 1400 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 1200 GeV < Jet p_{T} < 1400 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 1400 GeV < Jet p_{T} < 1600 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 1400 GeV < Jet p_{T} < 1600 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 1600 GeV < Jet p_{T} < 2000 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 1600 GeV < Jet p_{T} < 2000 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 2000 GeV < Jet p_{T} < 2500 GeV, more central jet.

$p_{T}^{rel} / GeV$ , 2000 GeV < Jet p_{T} < 2500 GeV, more central jet.

The total uncertainty covariance matrix for the average number of tracks per jet $p_T$ bin. The covariance matrix is the sum of the covariance matrices for each source of systematic and statistical uncertainty. Note that the overall sign for the systematic uncertainty covariances is arbitrary.

The total uncertainty covariance matrix for the average fragmentation function per jet $p_T$ bin. The covariance matrix is the sum of the covariance matrices for each source of systematic and statistical uncertainty. Note that the overall sign for the systematic uncertainty covariances is arbitrary.

The total uncertainty covariance matrix for the average relative $p_T$ per jet $p_T$ bin. The covariance matrix is the sum of the covariance matrices for each source of systematic and statistical uncertainty. Note that the overall sign for the systematic uncertainty covariances is arbitrary.

The total uncertainty covariance matrix for the average r per jet $p_T$ bin. The covariance matrix is the sum of the covariance matrices for each source of systematic and statistical uncertainty. Note that the overall sign for the systematic uncertainty covariances is arbitrary.

The total uncertainty covariance matrix for the number of tracks. The first half of the bins on a given axis correspond to the more central jet while the second half correspond to the more forward jet. See Fig. 4 in the paper for more information about the binning. The covariance matrix is the sum of the covariance matrices for each source of systematic and statistical uncertainty. Note that the overall sign for the systematic uncertainty covariances is arbitrary.

The total uncertainty covariance matrix for the fragmentation function. The first half of the bins on a given axis correspond to the more central jet while the second half correspond to the more forward jet. See Fig. 4 in the paper for more information about the binning. The covariance matrix is the sum of the covariance matrices for each source of systematic and statistical uncertainty. Note that the overall sign for the systematic uncertainty covariances is arbitrary.

The total uncertainty covariance matrix for the relative $p_T$. The first half of the bins on a given axis correspond to the more central jet while the second half correspond to the more forward jet. See Fig. 4 in the paper for more information about the binning. The covariance matrix is the sum of the covariance matrices for each source of systematic and statistical uncertainty. Note that the overall sign for the systematic uncertainty covariances is arbitrary.

The total uncertainty covariance matrix for the r. The first half of the bins on a given axis correspond to the more central jet while the second half correspond to the more forward jet. See Fig. 4 in the paper for more information about the binning. The covariance matrix is the sum of the covariance matrices for each source of systematic and statistical uncertainty. Note that the overall sign for the systematic uncertainty covariances is arbitrary.