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The differential cross section for isolated-photon production in $pp$ collisions is measured at a centre-of-mass energy of 13 TeV with the ATLAS detector at the LHC using an integrated luminosity of 36.1 fb$^{-1}$. The differential cross section is presented as a function of the photon transverse energy in different regions of photon pseudorapidity. The differential cross section as a function of the absolute value of the photon pseudorapidity is also presented in different regions of photon transverse energy. Next-to-leading-order QCD calculations from JETPHOX and SHERPA as well as next-to-next-to-leading-order QCD calculations from NNLOJET are compared with the measurement, using several parameterisations of the proton parton distribution functions. The predictions provide a good description of the data within the experimental and theoretical uncertainties.
The $\gamma n \to \pi^0 n$ differential cross section evaluated for 27 energy bins span the photon-energy range 290-813 MeV (W = 1.195-1.553 GeV) and the pion c.m. polar production angles, ranging from 18 deg to 162 deg, making use of model-dependent nuclear corrections to extract pi0 production data on the neutron from measurements on the deuteron target. Additionally, the total photoabsorption cross section was measured. The tagged photon beam produced by the 883-MeV electron beam of the Mainz Microtron MAMI was used for the 0-meson production. Our accumulation of 3.6 x 10^6 $\gamma n \to \pi^0 n$ events allowed a detailed study of the reaction dynamics. Our data are in reasonable agreement with previous A2 measurements and extend them to lower energies. The data are compared to predictions of previous SAID, MAID, and BnGa partial-wave analyses and to the latest SAID fit MA19 that included our data. Selected photon decay amplitudes $N^* \to \gamma n$ at the resonance poles are determined for the first time.
The result of a search for the pair production of the lightest supersymmetric partner of the bottom quark ($\tilde{b}_{1}$) using 139 fb$^{-1}$ of proton-proton data collected at $\sqrt{s} = 13$ TeV by the ATLAS detector is reported. In the supersymmetric scenarios considered both of the bottom-squarks decay into a $b$-quark and the second-lightest neutralino, $\tilde{b}_{1} \rightarrow b + \tilde{\chi}^{0}_{2}$. Each $\tilde{\chi}^{0}_{2}$ is assumed to subsequently decay with 100% branching ratio into a Higgs boson ($h$) like the one in the Standard Model and the lightest neutralino: $\tilde{\chi}^{0}_{2} \rightarrow h + \tilde{\chi}^{0}_{1}$. The $\tilde{\chi}^{0}_{1}$ is assumed to be the lightest supersymmetric particle (LSP) and is stable. Two signal mass configurations are targeted: the first has a constant LSP mass of 60 GeV; and the second has a constant mass difference between the $\tilde{\chi}^{0}_{2}$ and $\tilde{\chi}^{0}_{1}$ of 130 GeV. The final states considered contain no charged leptons, three or more $b$-jets, and large missing transverse momentum. No significant excess of events over the Standard Model background expectation is observed in any of the signal regions considered. Limits at the 95% confidence level are placed in the supersymmetric models considered, and bottom-squarks with mass up to 1.5 TeV are excluded.
Distributions of ${E}_{\mathrm{T}}^{\mathrm{miss}}$ after the background-only fit. The backgrounds which contribute only a small amount (diboson, W+jets and ttbar+W/Z/h) are grouped and labelled as `Other'.
Distributions of ${E}_{\mathrm{T}}^{\mathrm{miss}}$ after the background-only fit. The backgrounds which contribute only a small amount (diboson, W+jets and ttbar+W/Z/h) are grouped and labelled as `Other'.
Distributions of $m_{\mathrm{eff}}$ after the background-only fit. The backgrounds which contribute only a small amount (diboson, W+jets and ttbar+W/Z/h) are grouped and labelled as `Other'.
Distributions of $m_{\mathrm{eff}}$ after the background-only fit. The backgrounds which contribute only a small amount (diboson, W+jets and ttbar+W/Z/h) are grouped and labelled as `Other'.
Distributions of Object-based $E_{\mathrm{T}}^{\mathrm{miss}} {Sig.}$ after the background-only fit. The backgrounds which contribute only a small amount (diboson, W+jets and ttbar+W/Z/h) are grouped and labelled as `Other'.
Distributions of Object-based $E_{\mathrm{T}}^{\mathrm{miss}} {Sig.}$ after the background-only fit. The backgrounds which contribute only a small amount (diboson, W+jets and ttbar+W/Z/h) are grouped and labelled as `Other'.
Distributions of MaxMin alternative algorithm $m(h_{\mathrm{cand1}},h_{\mathrm{cand2}})_{\mathrm{avg}}$ after the background-only fit. The backgrounds which contribute only a small amount (diboson, W+jets and ttbar+W/Z/h) are grouped and labelled as `Other'.
Distributions of MaxMin alternative algorithm $m(h_{\mathrm{cand1}},h_{\mathrm{cand2}})_{\mathrm{avg}}$ after the background-only fit. The backgrounds which contribute only a small amount (diboson, W+jets and ttbar+W/Z/h) are grouped and labelled as `Other'.
Distributions of Leading jet $p_T$ after the background-only fit. The backgrounds which contribute only a small amount (diboson, W+jets and ttbar+W/Z/h) are grouped and labelled as `Other'.
Distributions of Leading jet $p_T$ after the background-only fit. The backgrounds which contribute only a small amount (diboson, W+jets and ttbar+W/Z/h) are grouped and labelled as `Other'.
Distributions of MaxMin algorithm $m_{hcand}$ after the background-only fit. The backgrounds which contribute only a small amount (diboson, W+jets and ttbar+W/Z/h) are grouped and labelled as `Other'.
Distributions of MaxMin algorithm $m_{hcand}$ after the background-only fit. The backgrounds which contribute only a small amount (diboson, W+jets and ttbar+W/Z/h) are grouped and labelled as `Other'.
Signal efficiency in SRA_M_m60 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRA_M_m60 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal acceptance in SRC_28 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRC_28 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRC_26 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRC_26 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRC_24 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRC_24 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRA_M_dm130 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRA_M_dm130 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRB for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRB for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRA_L_dm130 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRA_L_dm130 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRC_incl for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRC_incl for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRA_L_m60 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRA_L_m60 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRA_incl_dm130 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRA_incl_dm130 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRA_incl_m60 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRA_incl_m60 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal efficiency in SRA_H_m60 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRA_H_m60 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRA_L_dm130 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRA_L_dm130 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRB for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRB for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal acceptance in SRC_22 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRC_22 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal efficiency in SRA_H_dm130 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRA_H_dm130 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRC_24 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRC_24 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRC_26 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRC_26 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal acceptance in SRA_H_m60 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRA_H_m60 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal efficiency in SRA_incl_m60 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRA_incl_m60 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRC_22 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRC_22 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal acceptance in SRA_M_m60 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRA_M_m60 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal efficiency in SRC_28 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRC_28 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal acceptance in SRA_H_dm130 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal acceptance in SRA_H_dm130 for simplified models with $\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$ production
Signal efficiency in SRA_incl_dm130 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRA_incl_dm130 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRA_L_m60 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRA_L_m60 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRA_M_dm130 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRA_M_dm130 for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRC_incl for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Signal efficiency in SRC_incl for simplified models with '$\widetilde{b}\widetilde{b}$ $\rightarrow$ $b\bar{b} \widetilde{\chi}_2^0 \widetilde{\chi}_2^0$ $\rightarrow$ hh$\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$, h $\rightarrow$ $b\bar{b}$' production
Observed 95% CLs exclusion limit for the $\Delta M(\widetilde{\chi}_{2}^{0},\widetilde{\chi}_{1}^{0})$=130GeV signal grid for the best combined signal regions.
Observed 95% CLs exclusion limit for the $\Delta M(\widetilde{\chi}_{2}^{0},\widetilde{\chi}_{1}^{0})$=130GeV signal grid for the best combined signal regions.
Expected 95% CLs exclusion limit for the $\Delta M(\widetilde{\chi}_{2}^{0},\widetilde{\chi}_{1}^{0})$=130GeV signal grid for the best combined signal regions.
Expected 95% CLs exclusion limit for the $\Delta M(\widetilde{\chi}_{2}^{0},\widetilde{\chi}_{1}^{0})$=130GeV signal grid for the best combined signal regions.
Observed 95% CLs exclusion limit for the $M(\widetilde{\chi}_{1}^{0})$=60GeV signal grid for the best combined signal regions.
Observed 95% CLs exclusion limit for the $M(\widetilde{\chi}_{1}^{0})$=60GeV signal grid for the best combined signal regions.
Expected 95% CLs exclusion limit for the $\Delta M(\widetilde{\chi}_{2}^{0},\widetilde{\chi}_{1}^{0})$=130GeV signal grid for the best combined signal regions.
Expected 95% CLs exclusion limit for the $M(\widetilde{\chi}_{1}^{0})$=60GeV signal grid for the best combined signal regions.
Model dependent upper limit on the best combined signal regions considered in the $\Delta M(\widetilde{\chi}_{2}^{0},\widetilde{\chi}_{1}^{0})$=130GeV signal grid
Model dependent upper limit on the best combined signal regions considered in the $\Delta M(\widetilde{\chi}_{2}^{0},\widetilde{\chi}_{1}^{0})$=130GeV signal grid
Model dependet upper limits on the best combined signal regions considered in the $\Delta M(\widetilde{\chi}_{2}^{0},\widetilde{\chi}_{1}^{0})$=130GeV signal grid
Model dependet upper limits on the best combined signal regions considered in the $\Delta M(\widetilde{\chi}_{2}^{0},\widetilde{\chi}_{1}^{0})$=130GeV signal grid
Result of background only fit applied to signal regions. Event yields from the signal regions compared with SM MC predictions for the 3 highest contributing backgrounds separately and combined minor backgrounds.
Result of background only fit applied to signal regions. Event yields from the signal regions compared with SM MC predictions for the 3 highest contributing backgrounds separately and combined minor backgrounds.
Expected background event yields and dominant systematic uncertainties on background estimates in the A-type (inclusive), B-type and C-type (inclusive) regions.
Expected background event yields and dominant systematic uncertainties on background estimates in the A-type (inclusive), B-type and C-type (inclusive) regions.
Background-only fit results for the A- and B-type regions performed using 139$fb^{-1}$ of data. The quoted uncertainties on the fitted SM background include both the statistical and systematic uncertainties.
Background-only fit results for the A- and B-type regions performed using 139$fb^{-1}$ of data. The quoted uncertainties on the fitted SM background include both the statistical and systematic uncertainties.
Background-only fit results for the C-type region performed using 139$fb^{-1}$ of data. The quoted uncertainties on the fitted SM background include both the statistical and systematic uncertainties.
Background-only fit results for the C-type region performed using 139$fb^{-1}$ of data. The quoted uncertainties on the fitted SM background include both the statistical and systematic uncertainties.
Observed 95% CL upper limits on the visible cross sections σvis, the observed (S95obs) and expected (S95exp) 95% CL upper limits on the number of signal events with ± 1 σ excursions of the expectation, the CL of the background-only hypothesis, CLB, the discovery p-value (p0), truncated at 0.5, and the associated significance.
Observed 95% CL upper limits on the visible cross sections σvis, the observed (S95obs) and expected (S95exp) 95% CL upper limits on the number of signal events with ± 1 σ excursions of the expectation, the CL of the background-only hypothesis, CLB, the discovery p-value (p0), truncated at 0.5, and the associated significance.
Cutflow of the MC events scaled to 139 $fb^{-1}$ for the SRA selections, with a scalar bottom signal of m$(\widetilde{b}_{1},\widetilde{\chi}_2^0,\widetilde{\chi}_1^0) = (1100, 330, 200)$ GeV, considered.
Cutflow of the MC events scaled to 139 $fb^{-1}$ for the SRA selections, with a scalar bottom signal of m$(\widetilde{b}_{1},\widetilde{\chi}_2^0,\widetilde{\chi}_1^0) = (1100, 330, 200)$ GeV, considered.
Cutflow of the MC events scaled to 139 $fb^{-1}$ for the SRB selections, with a scalar bottom signal of m$(\widetilde{b}_{1},\widetilde{\chi}_2^0,\widetilde{\chi}_1^0) = (700, 680, 550)$ GeV, considered.
Cutflow of the MC events scaled to 139 $fb^{-1}$ for the SRB selections, with a scalar bottom signal of m$(\widetilde{b}_{1},\widetilde{\chi}_2^0,\widetilde{\chi}_1^0) = (700, 680, 550)$ GeV, considered.
Cutflow of the MC events scaled to 139 $fb^{-1}$ for the SRC selections, with a scalar bottom signal of m$(\widetilde{b}_{1},\widetilde{\chi}_2^0,\widetilde{\chi}_1^0) = (1200, 1150, 60)$ GeV, considered.
Cutflow of the MC events scaled to 139 $fb^{-1}$ for the SRC selections, with a scalar bottom signal of m$(\widetilde{b}_{1},\widetilde{\chi}_2^0,\widetilde{\chi}_1^0) = (1200, 1150, 60)$ GeV, considered.
Results are reported from a search for supersymmetric particles in the final state with multiple jets and large missing transverse momentum. The search uses a sample of proton-proton collisions at $\sqrt{s} =$ 13 TeV collected with the CMS detector in 2016-2018, corresponding to an integrated luminosity of 137 fb$^{-1}$, representing essentially the full LHC Run 2 data sample. The analysis is performed in a four-dimensional search region defined in terms of the number of jets, the number of tagged bottom quark jets, the scalar sum of jet transverse momenta, and the magnitude of the vector sum of jet transverse momenta. No significant excess in the event yield is observed relative to the expected background contributions from standard model processes. Limits on the pair production of gluinos and squarks are obtained in the framework of simplified models for supersymmetric particle production and decay processes. Assuming the lightest supersymmetric particle to be a neutralino, lower limits on the gluino mass as large as 2000 to 2310 GeV are obtained at 95% confidence level, while lower limits on the squark mass as large as 1190 to 1630 GeV are obtained, depending on the production scenario.
Studies of the fragmentation of jets into charged particles in heavy-ion collisions can provide information about the mechanism of jet-quenching by the hot and dense QCD matter created in such collisions, the quark-gluon plasma. This paper presents a measurement of the angular distribution of charged particles around the jet axis in $\sqrt{s_{\mathrm{NN}}}=$ 5.02 TeV Pb+Pb and $pp$ collisions, using the ATLAS detector at the LHC. The Pb+Pb and $pp$ data sets have integrated luminosities of 0.49 nb$^{-1}$ and 25 pb$^{-1}$, respectively. The measurement is performed for jets reconstructed with the anti-$k_{t}$ algorithm with radius parameter $R = 0.4$ and is extended to an angular distance of $r= 0.8$ from the jet axis. Results are presented as a function of Pb+Pb collision centrality and distance from the jet axis for charged particles with transverse momenta in the 1$-$63 GeV range, matched to jets with transverse momenta in the 126$-$316 GeV range and an absolute value of jet rapidity of less than 1.7. Modifications to the measured distributions are quantified by taking a ratio to the measurements in $pp$ collisions. Yields of charged particles with transverse momenta below 4 GeV are observed to be increasingly enhanced as a function of angular distance from the jet axis, reaching a maximum at $r=0.6$. Charged particles with transverse momenta above 4 GeV have an enhanced yield in Pb+Pb collisions in the jet core for angular distances up to $r = 0.05$ from the jet axis, with a suppression at larger distances.
We report on the measurement of the beam asymmetry $\Sigma$ for the reactions $\vec{\gamma}p\rightarrow p\eta$ and $\vec{\gamma}p \rightarrow p\eta^{\prime}$ from the GlueX experiment, using an 8.2--8.8 GeV linearly polarized tagged photon beam incident on a liquid hydrogen target in Hall D at Jefferson Lab. These measurements are made as a function of momentum transfer $-t$, with significantly higher statistical precision than our earlier $\eta$ measurements, and are the first measurements of $\eta^{\prime}$ in this energy range. We compare the results to theoretical predictions based on $t$--channel quasi-particle exchange. We also compare the ratio of $\Sigma_{\eta}$ to $\Sigma_{\eta^{\prime}}$ to these models, as this ratio is predicted to be sensitive to the amount of $s\bar{s}$ exchange in the production. We find that photoproduction of both $\eta$ and $\eta^{\prime}$ is dominated by natural parity exchange with little dependence on $-t$.
A search for non-resonant Higgs boson pair production, as predicted by the Standard Model, is presented, where one of the Higgs bosons decays via the $H\rightarrow bb$ channel and the other via one of the $H \rightarrow WW^*/ZZ^*/\tau\tau$ channels. The analysis selection requires events to have at least two $b$-tagged jets and exactly two leptons (electrons or muons) with opposite electric charge in the final state. Candidate events consistent with Higgs boson pair production are selected using a multi-class neural network discriminant. The analysis uses 139 fb$^{-1}$ of $pp$ collision data recorded at a centre-of-mass energy of 13 TeV by the ATLAS detector at the Large Hadron Collider. An observed (expected) upper limit of 1.2 ($0.9^{+0.4}_{-0.3}$) pb is set on the non-resonant Higgs boson pair production cross-section at 95% confidence level, which is equivalent to 40 ($29^{+14}_{-9}$) times the value predicted in the Standard Model.
Single- and double-differential cross-section measurements are presented for the production of top-quark pairs, in the lepton + jets channel at particle and parton level. Two topologies, resolved and boosted, are considered and the results are presented as a function of several kinematic variables characterising the top and $t\bar{t}$ system and jet multiplicities. The study was performed using data from $pp$ collisions at centre-of-mass energy of 13 TeV collected in 2015 and 2016 by the ATLAS detector at the CERN Large Hadron Collider (LHC), corresponding to an integrated luminosity of $36~\mathrm{fb}^{-1}$. Due to the large $t\bar{t}$ cross-section at the LHC, such measurements allow a detailed study of the properties of top-quark production and decay, enabling precision tests of several Monte Carlo generators and fixed-order Standard Model predictions. Overall, there is good agreement between the theoretical predictions and the data.
Covariance matrix of the Absolute differential cross-section as function of $p_{T}^{t,2}$ at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $m^{t\bar{t}}$ at particle level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $|\Delta\phi(t,\bar{t})|$ at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $|\Delta\phi(t,\bar{t})|$ at particle level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute differential cross-section as a function of $H_{T}^{t\bar{t}}$ at particle level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $|y^{t\bar{t}}|$ at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $|y_{boost}^{t\bar{t}}|$ at particle level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $m^{t\bar{t}}$ in 400.0 GeV < $m^{t\bar{t}}$ < 550.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $m^{t\bar{t}}$ in 400.0 GeV < $m^{t\bar{t}}$ < 550.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $m^{t\bar{t}}$ in 400.0 GeV < $m^{t\bar{t}}$ < 550.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t,had}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t,had}$ vs $m^{t\bar{t}}$ in 550.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ at particle level in the resolved topology in 200.0 GeV < $m^{t\bar{t}}$ < 400.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 550.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 550.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 200.0 GeV < $m^{t\bar{t}}$ < 400.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ at particle level in the resolved topology in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 550.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $|p_{out}^{t,had}|$ vs $p_{T}^{t,had}$ in 60.0 GeV < $p_{T}^{t,had}$ < 120.0 GeV and the Relative double-differential cross-section as function of $|p_{out}^{t,had}|$ vs $p_{T}^{t,had}$ in 0.0 GeV < $p_{T}^{t,had}$ < 60.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $|p_{out}^{t,had}|$ vs $p_{T}^{t,had}$ in 60.0 GeV < $p_{T}^{t,had}$ < 120.0 GeV and the Relative double-differential cross-section as function of $|p_{out}^{t,had}|$ vs $p_{T}^{t,had}$ in 60.0 GeV < $p_{T}^{t,had}$ < 120.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $|p_{out}^{t,had}|$ vs $p_{T}^{t,had}$ in 200.0 GeV < $p_{T}^{t,had}$ < 300.0 GeV and the Relative double-differential cross-section as function of $|p_{out}^{t,had}|$ vs $p_{T}^{t,had}$ in 60.0 GeV < $p_{T}^{t,had}$ < 120.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $|p_{out}^{t,had}|$ vs $p_{T}^{t,had}$ in 0.0 GeV < $p_{T}^{t,had}$ < 60.0 GeV and the Absolute double-differential cross-section as function of $|p_{out}^{t,had}|$ vs $p_{T}^{t,had}$ in 0.0 GeV < $p_{T}^{t,had}$ < 60.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $|p_{out}^{t,had}|$ vs $p_{T}^{t,had}$ in 60.0 GeV < $p_{T}^{t,had}$ < 120.0 GeV and the Absolute double-differential cross-section as function of $|p_{out}^{t,had}|$ vs $p_{T}^{t,had}$ in 0.0 GeV < $p_{T}^{t,had}$ < 60.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t,had}$ vs $N^{jets}$ in $N^{jets}$ $\geq$ 7.0 and the Absolute double-differential cross-section as function of $p_{T}^{t,had}$ vs $N^{jets}$ in $N^{jets}$ = 4.0 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $|p_{out}^{t,had}|$ vs $N^{jets}$ in $N^{jets}$ = 6.0 and the Absolute double-differential cross-section as function of $|p_{out}^{t,had}|$ vs $N^{jets}$ in $N^{jets}$ = 4.0 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $\Delta\phi(t,\bar{t})$ vs $N^{jets}$ in 4.5 < $N^{jets}$ < 5.5 and the Relative double-differential cross-section as function of $\Delta\phi(t,\bar{t})$ vs $N^{jets}$ in 4.5 < $N^{jets}$ < 5.5 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $\Delta\phi(t,\bar{t})$ vs $N^{jets}$ in 6.5 < $N^{jets}$ < 7.5 and the Relative double-differential cross-section as function of $\Delta\phi(t,\bar{t})$ vs $N^{jets}$ in 6.5 < $N^{jets}$ < 7.5 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $\Delta\phi(t,\bar{t})$ vs $N^{jets}$ in 4.5 < $N^{jets}$ < 5.5 and the Absolute double-differential cross-section as function of $\Delta\phi(t,\bar{t})$ vs $N^{jets}$ in 3.5 < $N^{jets}$ < 4.5 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $\Delta\phi(t,\bar{t})$ vs $N^{jets}$ in 4.5 < $N^{jets}$ < 5.5 and the Absolute double-differential cross-section as function of $\Delta\phi(t,\bar{t})$ vs $N^{jets}$ in 4.5 < $N^{jets}$ < 5.5 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $H_{T}^{t\bar{t}}$ vs $N^{jets}$ in $N^{jets}$ = 4.0 and the Relative double-differential cross-section as function of $H_{T}^{t\bar{t}}$ vs $N^{jets}$ in $N^{jets}$ = 4.0 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $H_{T}^{t\bar{t}}$ vs $N^{jets}$ in $N^{jets}$ = 5.0 and the Relative double-differential cross-section as function of $H_{T}^{t\bar{t}}$ vs $N^{jets}$ in $N^{jets}$ = 4.0 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative double-differential cross-section as a function of $|y^{t,had}|$ vs $N^{jets}$ at particle level in the resolved topology in $N^{jets}$ = 4.0. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $|y^{t,had}|$ vs $N^{jets}$ at particle level in the resolved topology in $N^{jets}$ = 6.0. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Relative double-differential cross-section as function of $|y^{t,had}|$ vs $N^{jets}$ in $N^{jets}$ = 6.0 and the Relative double-differential cross-section as function of $|y^{t,had}|$ vs $N^{jets}$ in $N^{jets}$ = 6.0 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $|y^{t,had}|$ vs $N^{jets}$ in $N^{jets}$ = 4.0 and the Absolute double-differential cross-section as function of $|y^{t,had}|$ vs $N^{jets}$ in $N^{jets}$ = 4.0 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $|y^{t,had}|$ vs $N^{jets}$ in $N^{jets}$ $\geq$ 7.0 and the Absolute double-differential cross-section as function of $|y^{t,had}|$ vs $N^{jets}$ in $N^{jets}$ = 6.0 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $|y^{t\bar{t}}|$ vs $N^{jets}$ in $N^{jets}$ = 4.0 and the Relative double-differential cross-section as function of $|y^{t\bar{t}}|$ vs $N^{jets}$ in $N^{jets}$ = 4.0 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $|y^{t\bar{t}}|$ vs $N^{jets}$ in $N^{jets}$ = 5.0 and the Relative double-differential cross-section as function of $|y^{t\bar{t}}|$ vs $N^{jets}$ in $N^{jets}$ = 4.0 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $|y^{t\bar{t}}|$ vs $N^{jets}$ in $N^{jets}$ = 5.0 and the Absolute double-differential cross-section as function of $|y^{t\bar{t}}|$ vs $N^{jets}$ in $N^{jets}$ = 4.0 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $|y^{t\bar{t}}|$ vs $N^{jets}$ in $N^{jets}$ $\geq$ 7.0 and the Absolute double-differential cross-section as function of $|y^{t\bar{t}}|$ vs $N^{jets}$ in $N^{jets}$ $\geq$ 7.0 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $\chi_{tt}$ vs $N^{jets}$ in $N^{jets}$ = 5.0 and the Relative double-differential cross-section as function of $\chi_{tt}$ vs $N^{jets}$ in $N^{jets}$ = 4.0 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $\chi_{tt}$ vs $N^{jets}$ in $N^{jets}$ = 5.0 and the Relative double-differential cross-section as function of $\chi_{tt}$ vs $N^{jets}$ in $N^{jets}$ = 5.0 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute double-differential cross-section as a function of $\chi_{tt}$ vs $N^{jets}$ at particle level in the resolved topology in $N^{jets}$ = 4.0. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $|y^{t,had}|$ in 1.4 < $|y^{t,had}|$ < 2.5 and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $|y^{t,had}|$ in 1.4 < $|y^{t,had}|$ < 2.5 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at particle level in the resolved topology in 0.8 < $|y^{t\bar{t}}|$ < 1.2 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at particle level in the resolved topology in 0.0 < $|y^{t\bar{t}}|$ < 0.4 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at particle level in the resolved topology in 1.2 < $|y^{t\bar{t}}|$ < 2.5 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.2 < $|y^{t\bar{t}}|$ < 2.5 and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.4 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative double-differential cross-section as a function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at particle level in the resolved topology in 1.2 < $|y^{t\bar{t}}|$ < 2.5 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.2 < $|y^{t\bar{t}}|$ < 2.5 and the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.8 < $|y^{t\bar{t}}|$ < 1.2 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.2 < $|y^{t\bar{t}}|$ < 2.5 and the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.2 < $|y^{t\bar{t}}|$ < 2.5 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute double-differential cross-section as a function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at particle level in the resolved topology in 0.0 < $|y^{t\bar{t}}|$ < 0.4 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at particle level in the resolved topology in 0.4 < $|y^{t\bar{t}}|$ < 0.8 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at particle level in the resolved topology in 0.8 < $|y^{t\bar{t}}|$ < 1.2 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at particle level in the resolved topology in 1.2 < $|y^{t\bar{t}}|$ < 2.5 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.4 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.4 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.4 < $|y^{t\bar{t}}|$ < 0.8 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.4 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.4 < $|y^{t\bar{t}}|$ < 0.8 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.4 < $|y^{t\bar{t}}|$ < 0.8 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.8 < $|y^{t\bar{t}}|$ < 1.2 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.4 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.8 < $|y^{t\bar{t}}|$ < 1.2 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.4 < $|y^{t\bar{t}}|$ < 0.8 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.8 < $|y^{t\bar{t}}|$ < 1.2 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.8 < $|y^{t\bar{t}}|$ < 1.2 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.2 < $|y^{t\bar{t}}|$ < 2.5 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.4 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.2 < $|y^{t\bar{t}}|$ < 2.5 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.4 < $|y^{t\bar{t}}|$ < 0.8 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.2 < $|y^{t\bar{t}}|$ < 2.5 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.8 < $|y^{t\bar{t}}|$ < 1.2 at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative double-differential cross-section as a function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ at particle level in the resolved topology in 30.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ at particle level in the resolved topology in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 190.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ at particle level in the resolved topology in 190.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 30.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 30.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 30.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 30.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 30.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 30.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 190.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 30.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 190.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 30.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 190.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 190.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 190.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 30.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 190.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 30.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 190.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 190.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 190.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 190.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute double-differential cross-section as a function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ at particle level in the resolved topology in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 30.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ at particle level in the resolved topology in 30.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ at particle level in the resolved topology in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 190.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ at particle level in the resolved topology in 190.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 30.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 30.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 30.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 30.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 30.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 30.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 190.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 190.0 GeV at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t,had}|$ and the absolute differential cross-section as function of $p_{T}^{t,had}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $p_{T}^{t,2}$ and the absolute differential cross-section as function of $p_{T}^{t,had}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $p_{T}^{t,1}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $p_{T}^{t,2}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|p_{out}^{t,had}|$ and the absolute differential cross-section as function of $p_{T}^{t,2}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|p_{out}^{t,had}|$ and the absolute differential cross-section as function of $m^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|p_{out}^{t,had}|$ and the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|p_{out}^{t,had}|$ and the absolute differential cross-section as function of $|p_{out}^{t,had}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|\Delta\phi(t,\bar{t})|$ and the absolute differential cross-section as function of $p_{T}^{t,had}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|\Delta\phi(t,\bar{t})|$ and the absolute differential cross-section as function of $|y^{t,had}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|\Delta\phi(t,\bar{t})|$ and the absolute differential cross-section as function of $p_{T}^{t,1}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|\Delta\phi(t,\bar{t})|$ and the absolute differential cross-section as function of $p_{T}^{t,2}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|\Delta\phi(t,\bar{t})|$ and the absolute differential cross-section as function of $m^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|\Delta\phi(t,\bar{t})|$ and the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|\Delta\phi(t,\bar{t})|$ and the absolute differential cross-section as function of $|p_{out}^{t,had}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|\Delta\phi(t,\bar{t})|$ and the absolute differential cross-section as function of $|\Delta\phi(t,\bar{t})|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $p_{T}^{t,had}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $|y^{t,had}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $p_{T}^{t,1}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $p_{T}^{t,2}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $m^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $|p_{out}^{t,had}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $|\Delta\phi(t,\bar{t})|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $N^{extra jets}$ and the absolute differential cross-section as function of $p_{T}^{t,had}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $N^{extra jets}$ and the absolute differential cross-section as function of $|y^{t,had}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $N^{extra jets}$ and the absolute differential cross-section as function of $p_{T}^{t,1}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $N^{extra jets}$ and the absolute differential cross-section as function of $p_{T}^{t,2}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $N^{extra jets}$ and the absolute differential cross-section as function of $m^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $N^{extra jets}$ and the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $N^{extra jets}$ and the absolute differential cross-section as function of $|p_{out}^{t,had}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $N^{extra jets}$ and the absolute differential cross-section as function of $|\Delta\phi(t,\bar{t})|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $N^{extra jets}$ and the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $N^{extra jets}$ and the absolute differential cross-section as function of $N^{extra jets}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t\bar{t}}|$ and the absolute differential cross-section as function of $p_{T}^{t,had}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t\bar{t}}|$ and the absolute differential cross-section as function of $|y^{t,had}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t\bar{t}}|$ and the absolute differential cross-section as function of $p_{T}^{t,1}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t\bar{t}}|$ and the absolute differential cross-section as function of $p_{T}^{t,2}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t\bar{t}}|$ and the absolute differential cross-section as function of $m^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t\bar{t}}|$ and the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t\bar{t}}|$ and the absolute differential cross-section as function of $|p_{out}^{t,had}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t\bar{t}}|$ and the absolute differential cross-section as function of $|\Delta\phi(t,\bar{t})|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t\bar{t}}|$ and the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t\bar{t}}|$ and the absolute differential cross-section as function of $|y^{t\bar{t}}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $p_{T}^{t,had}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $|y^{t,had}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $p_{T}^{t,1}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $p_{T}^{t,2}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $m^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $|p_{out}^{t,had}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $|\Delta\phi(t,\bar{t})|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $N^{extra jets}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $|y^{t\bar{t}}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi^{t\bar{t}}$ and the absolute differential cross-section as function of $p_{T}^{t,had}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi^{t\bar{t}}$ and the absolute differential cross-section as function of $|y^{t,had}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi^{t\bar{t}}$ and the absolute differential cross-section as function of $p_{T}^{t,1}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi^{t\bar{t}}$ and the absolute differential cross-section as function of $p_{T}^{t,2}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi^{t\bar{t}}$ and the absolute differential cross-section as function of $m^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi^{t\bar{t}}$ and the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi^{t\bar{t}}$ and the absolute differential cross-section as function of $|p_{out}^{t,had}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi^{t\bar{t}}$ and the absolute differential cross-section as function of $|\Delta\phi(t,\bar{t})|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi^{t\bar{t}}$ and the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi^{t\bar{t}}$ and the absolute differential cross-section as function of $N^{extra jets}$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi^{t\bar{t}}$ and the absolute differential cross-section as function of $|y^{t\bar{t}}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi^{t\bar{t}}$ and the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ at particle level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi^{t\bar{t}}$ and the absolute differential cross-section as function of $\chi^{t\bar{t}}$ at particle level in the resolved topology.
Relative differential cross-section as a function of $p_{T}^{t}$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $p_{T}^{t}$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $p_{T}^{t}$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $p_{T}^{t}$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $|y^{t}|$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $|y^{t}|$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $|y^{t}|$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $|y^{t}|$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $m^{t\bar{t}}$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $m^{t\bar{t}}$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $m^{t\bar{t}}$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $m^{t\bar{t}}$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $p_{T}^{t\bar{t}}$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $p_{T}^{t\bar{t}}$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $p_{T}^{t\bar{t}}$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $|y^{t\bar{t}}|$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $|y^{t\bar{t}}|$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $|y^{t\bar{t}}|$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $|y^{t\bar{t}}|$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $|y_{boost}^{t\bar{t}}|$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $|y_{boost}^{t\bar{t}}|$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $H_{T}^{t\bar{t}}$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $H_{T}^{t\bar{t}}$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $H_{T}^{t\bar{t}}$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $\chi_{tt}$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $\chi_{tt}$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $\chi_{tt}$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $\chi_{tt}$ at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative double-differential cross-section as a function of $p_{T}^{t}$ vs $|y^{t}|$ at parton level in the resolved topology in 0.0 < $|y^{t}|$ < 0.75 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t}$ vs $|y^{t}|$ at parton level in the resolved topology in 0.75 < $|y^{t}|$ < 1.5 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t}$ vs $|y^{t}|$ at parton level in the resolved topology in 1.5 < $|y^{t}|$ < 2.5 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.0 < $|y^{t}|$ < 0.75 and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.0 < $|y^{t}|$ < 0.75 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.75 < $|y^{t}|$ < 1.5 and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.0 < $|y^{t}|$ < 0.75 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.75 < $|y^{t}|$ < 1.5 and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.75 < $|y^{t}|$ < 1.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 1.5 < $|y^{t}|$ < 2.5 and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.0 < $|y^{t}|$ < 0.75 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 1.5 < $|y^{t}|$ < 2.5 and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.75 < $|y^{t}|$ < 1.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 1.5 < $|y^{t}|$ < 2.5 and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 1.5 < $|y^{t}|$ < 2.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute double-differential cross-section as a function of $p_{T}^{t}$ vs $|y^{t}|$ at parton level in the resolved topology in 0.0 < $|y^{t}|$ < 0.75 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t}$ vs $|y^{t}|$ at parton level in the resolved topology in 0.75 < $|y^{t}|$ < 1.5 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t}$ vs $|y^{t}|$ at parton level in the resolved topology in 1.5 < $|y^{t}|$ < 2.5 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.0 < $|y^{t}|$ < 0.75 and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.0 < $|y^{t}|$ < 0.75 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.75 < $|y^{t}|$ < 1.5 and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.0 < $|y^{t}|$ < 0.75 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.75 < $|y^{t}|$ < 1.5 and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.75 < $|y^{t}|$ < 1.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 1.5 < $|y^{t}|$ < 2.5 and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.0 < $|y^{t}|$ < 0.75 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 1.5 < $|y^{t}|$ < 2.5 and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 0.75 < $|y^{t}|$ < 1.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 1.5 < $|y^{t}|$ < 2.5 and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $|y^{t}|$ in 1.5 < $|y^{t}|$ < 2.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative double-differential cross-section as a function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ at parton level in the resolved topology in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ at parton level in the resolved topology in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 180.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ at parton level in the resolved topology in 180.0 GeV < $p_{T}^{t\bar{t}}$ < 330.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ at parton level in the resolved topology in 330.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 180.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 180.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 180.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 180.0 GeV < $p_{T}^{t\bar{t}}$ < 330.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 180.0 GeV < $p_{T}^{t\bar{t}}$ < 330.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 180.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 180.0 GeV < $p_{T}^{t\bar{t}}$ < 330.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 180.0 GeV < $p_{T}^{t\bar{t}}$ < 330.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 330.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 330.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 180.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 330.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 180.0 GeV < $p_{T}^{t\bar{t}}$ < 330.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 330.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 330.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute double-differential cross-section as a function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ at parton level in the resolved topology in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ at parton level in the resolved topology in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 180.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ at parton level in the resolved topology in 180.0 GeV < $p_{T}^{t\bar{t}}$ < 330.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ at parton level in the resolved topology in 330.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 180.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 180.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 180.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 180.0 GeV < $p_{T}^{t\bar{t}}$ < 330.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 180.0 GeV < $p_{T}^{t\bar{t}}$ < 330.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 180.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 180.0 GeV < $p_{T}^{t\bar{t}}$ < 330.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 180.0 GeV < $p_{T}^{t\bar{t}}$ < 330.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 330.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 80.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 330.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 80.0 GeV < $p_{T}^{t\bar{t}}$ < 180.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 330.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 180.0 GeV < $p_{T}^{t\bar{t}}$ < 330.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 330.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $p_{T}^{t\bar{t}}$ in 330.0 GeV < $p_{T}^{t\bar{t}}$ < 800.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative double-differential cross-section as a function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ at parton level in the resolved topology in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ at parton level in the resolved topology in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ at parton level in the resolved topology in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ at parton level in the resolved topology in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute double-differential cross-section as a function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ at parton level in the resolved topology in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ at parton level in the resolved topology in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ at parton level in the resolved topology in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 0.0 GeV < $|y^{t\bar{t}}|$ < 0.5 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 0.5 GeV < $|y^{t\bar{t}}|$ < 1.1 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 1.1 GeV < $|y^{t\bar{t}}|$ < 1.7 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 1.7 GeV < $|y^{t\bar{t}}|$ < 2.5 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 GeV < $|y^{t\bar{t}}|$ < 0.5 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 GeV < $|y^{t\bar{t}}|$ < 0.5 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 GeV < $|y^{t\bar{t}}|$ < 1.1 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 GeV < $|y^{t\bar{t}}|$ < 0.5 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 GeV < $|y^{t\bar{t}}|$ < 1.1 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 GeV < $|y^{t\bar{t}}|$ < 1.1 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 GeV < $|y^{t\bar{t}}|$ < 1.7 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 GeV < $|y^{t\bar{t}}|$ < 0.5 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 GeV < $|y^{t\bar{t}}|$ < 1.7 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 GeV < $|y^{t\bar{t}}|$ < 1.1 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 GeV < $|y^{t\bar{t}}|$ < 1.7 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 GeV < $|y^{t\bar{t}}|$ < 1.7 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 GeV < $|y^{t\bar{t}}|$ < 2.5 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 GeV < $|y^{t\bar{t}}|$ < 0.5 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 GeV < $|y^{t\bar{t}}|$ < 2.5 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 GeV < $|y^{t\bar{t}}|$ < 1.1 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 GeV < $|y^{t\bar{t}}|$ < 2.5 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 GeV < $|y^{t\bar{t}}|$ < 1.7 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 GeV < $|y^{t\bar{t}}|$ < 2.5 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 GeV < $|y^{t\bar{t}}|$ < 2.5 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 0.0 GeV < $|y^{t\bar{t}}|$ < 0.5 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 0.5 GeV < $|y^{t\bar{t}}|$ < 1.1 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 1.1 GeV < $|y^{t\bar{t}}|$ < 1.7 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 1.7 GeV < $|y^{t\bar{t}}|$ < 2.5 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 GeV < $|y^{t\bar{t}}|$ < 0.5 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 GeV < $|y^{t\bar{t}}|$ < 0.5 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 GeV < $|y^{t\bar{t}}|$ < 1.1 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 GeV < $|y^{t\bar{t}}|$ < 0.5 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 GeV < $|y^{t\bar{t}}|$ < 1.1 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 GeV < $|y^{t\bar{t}}|$ < 1.1 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 GeV < $|y^{t\bar{t}}|$ < 1.7 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 GeV < $|y^{t\bar{t}}|$ < 0.5 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 GeV < $|y^{t\bar{t}}|$ < 1.7 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 GeV < $|y^{t\bar{t}}|$ < 1.1 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 GeV < $|y^{t\bar{t}}|$ < 1.7 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 GeV < $|y^{t\bar{t}}|$ < 1.7 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 GeV < $|y^{t\bar{t}}|$ < 2.5 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 GeV < $|y^{t\bar{t}}|$ < 0.5 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 GeV < $|y^{t\bar{t}}|$ < 2.5 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 GeV < $|y^{t\bar{t}}|$ < 1.7 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 GeV < $|y^{t\bar{t}}|$ < 2.5 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 GeV < $|y^{t\bar{t}}|$ < 2.5 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ at parton level in the resolved topology in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ at parton level in the resolved topology in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ at parton level in the resolved topology in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ at parton level in the resolved topology in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ at parton level in the resolved topology in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ at parton level in the resolved topology in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ at parton level in the resolved topology in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ at parton level in the resolved topology in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 325.0 GeV < $m^{t\bar{t}}$ < 500.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 500.0 GeV < $m^{t\bar{t}}$ < 700.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 700.0 GeV < $m^{t\bar{t}}$ < 1000.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV and the Absolute double-differential cross-section as function of $p_{T}^{t\bar{t}}$ vs $m^{t\bar{t}}$ in 1000.0 GeV < $m^{t\bar{t}}$ < 2000.0 GeV at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Relative double-differential cross-section as a function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 0.0 < $|y^{t\bar{t}}|$ < 0.5 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 0.5 < $|y^{t\bar{t}}|$ < 1.1 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 1.1 < $|y^{t\bar{t}}|$ < 1.7 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 1.7 < $|y^{t\bar{t}}|$ < 2.5 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.5 and the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 < $|y^{t\bar{t}}|$ < 1.1 and the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 < $|y^{t\bar{t}}|$ < 1.1 and the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 < $|y^{t\bar{t}}|$ < 1.1 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 < $|y^{t\bar{t}}|$ < 1.7 and the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 < $|y^{t\bar{t}}|$ < 1.7 and the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 < $|y^{t\bar{t}}|$ < 1.1 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 < $|y^{t\bar{t}}|$ < 1.7 and the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 < $|y^{t\bar{t}}|$ < 1.7 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 < $|y^{t\bar{t}}|$ < 2.5 and the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 < $|y^{t\bar{t}}|$ < 2.5 and the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 < $|y^{t\bar{t}}|$ < 1.1 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 < $|y^{t\bar{t}}|$ < 2.5 and the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 < $|y^{t\bar{t}}|$ < 1.7 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 < $|y^{t\bar{t}}|$ < 2.5 and the Relative double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 < $|y^{t\bar{t}}|$ < 2.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Absolute double-differential cross-section as a function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 0.0 < $|y^{t\bar{t}}|$ < 0.5 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 0.5 < $|y^{t\bar{t}}|$ < 1.1 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 1.1 < $|y^{t\bar{t}}|$ < 1.7 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute double-differential cross-section as a function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ at parton level in the resolved topology in 1.7 < $|y^{t\bar{t}}|$ < 2.5 . Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.5 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 < $|y^{t\bar{t}}|$ < 1.1 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 < $|y^{t\bar{t}}|$ < 1.1 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 < $|y^{t\bar{t}}|$ < 1.1 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 < $|y^{t\bar{t}}|$ < 1.7 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 < $|y^{t\bar{t}}|$ < 1.7 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 < $|y^{t\bar{t}}|$ < 1.1 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 < $|y^{t\bar{t}}|$ < 1.7 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 < $|y^{t\bar{t}}|$ < 1.7 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 < $|y^{t\bar{t}}|$ < 2.5 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.0 < $|y^{t\bar{t}}|$ < 0.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 < $|y^{t\bar{t}}|$ < 2.5 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 0.5 < $|y^{t\bar{t}}|$ < 1.1 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 < $|y^{t\bar{t}}|$ < 2.5 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.1 < $|y^{t\bar{t}}|$ < 1.7 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 < $|y^{t\bar{t}}|$ < 2.5 and the Absolute double-differential cross-section as function of $m^{t\bar{t}}$ vs $|y^{t\bar{t}}|$ in 1.7 < $|y^{t\bar{t}}|$ < 2.5 at parton level in the resolved topology, accounting for the statistical and systematic uncertainties.
Statistical correlation matrix between the absolute differential cross-section as function of $p_{T}^{t}$ and the absolute differential cross-section as function of $p_{T}^{t}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t}|$ and the absolute differential cross-section as function of $p_{T}^{t}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t}|$ and the absolute differential cross-section as function of $|y^{t}|$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $m^{t\bar{t}}$ and the absolute differential cross-section as function of $p_{T}^{t}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $m^{t\bar{t}}$ and the absolute differential cross-section as function of $|y^{t}|$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $m^{t\bar{t}}$ and the absolute differential cross-section as function of $m^{t\bar{t}}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $p_{T}^{t}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $|y^{t}|$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $m^{t\bar{t}}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t\bar{t}}|$ and the absolute differential cross-section as function of $p_{T}^{t}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t\bar{t}}|$ and the absolute differential cross-section as function of $|y^{t}|$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t\bar{t}}|$ and the absolute differential cross-section as function of $m^{t\bar{t}}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t\bar{t}}|$ and the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y^{t\bar{t}}|$ and the absolute differential cross-section as function of $|y^{t\bar{t}}|$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $p_{T}^{t}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $|y^{t}|$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $m^{t\bar{t}}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $|y^{t\bar{t}}|$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ and the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $p_{T}^{t}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $|y^{t}|$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $m^{t\bar{t}}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $|y^{t\bar{t}}|$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ and the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi_{tt}$ and the absolute differential cross-section as function of $p_{T}^{t}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi_{tt}$ and the absolute differential cross-section as function of $|y^{t}|$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi_{tt}$ and the absolute differential cross-section as function of $m^{t\bar{t}}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi_{tt}$ and the absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi_{tt}$ and the absolute differential cross-section as function of $|y^{t\bar{t}}|$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi_{tt}$ and the absolute differential cross-section as function of $|y_{boost}^{t\bar{t}}|$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi_{tt}$ and the absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ at parton level in the resolved topology.
Statistical correlation matrix between the absolute differential cross-section as function of $\chi_{tt}$ and the absolute differential cross-section as function of $\chi_{tt}$ at parton level in the resolved topology.
Absolute differential cross-section as a function of $p_{T}^{t}$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute differential cross-section as a function of $y^{t}$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute differential cross-section as a function of $m^{t\bar{t}}$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute differential cross-section as a function of $p_{T}^{t\bar{t}}$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Absolute differential cross-section as a function of $y^{t\bar{t}}$ at parton level in the resolved topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative differential cross-section as a function of $p_{T}^{t,had}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $p_{T}^{t,had}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $p_{T}^{t,had}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $p_{T}^{t,had}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $|y^{t,had}|$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $|y^{t,had}|$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $|y^{t,had}|$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $|y^{t,had}|$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $p_{T}^{t,1}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $p_{T}^{t,1}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $p_{T}^{t,1}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $p_{T}^{t,1}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $p_{T}^{t,2}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $p_{T}^{t,2}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $p_{T}^{t,2}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $p_{T}^{t,2}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $p_{T}^{t\bar{t}}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $p_{T}^{t\bar{t}}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $p_{T}^{t\bar{t}}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $p_{T}^{t\bar{t}}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $|y^{t\bar{t}}|$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $|y^{t\bar{t}}|$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $|y^{t\bar{t}}|$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $|y^{t\bar{t}}|$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $m^{t\bar{t}}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $m^{t\bar{t}}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $m^{t\bar{t}}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $m^{t\bar{t}}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $\chi^{t\bar{t}}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $\chi^{t\bar{t}}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $\chi^{t\bar{t}}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $\chi^{t\bar{t}}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $|p_{out}^{t,lep}|$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $|p_{out}^{t,lep}|$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $|p_{out}^{t,lep}|$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $|p_{out}^{t,lep}|$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $H_{T}^{t\bar{t}}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $H_{T}^{t\bar{t}}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $H_{T}^{t\bar{t}}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $H_{T}^{t\bar{t}}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $N^{extra jets}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $N^{extra jets}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $N^{extra jets}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $N^{extra jets}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Relative differential cross-section as a function of $N^{subjets}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $N^{subjets}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Absolute differential cross-section as a function of $N^{subjets}$ at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Absolute differential cross-section as function of $N^{subjets}$ at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Total cross-section at particle level in the boosted topology. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ at particle level in the boosted topology in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 40.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ at particle level in the boosted topology in 40.0 GeV < $p_{T}^{t\bar{t}}$ < 150.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Relative double-differential cross-section as a function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ at particle level in the boosted topology in 150.0 GeV < $p_{T}^{t\bar{t}}$ < 1000.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 40.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 40.0 GeV at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 40.0 GeV < $p_{T}^{t\bar{t}}$ < 150.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 40.0 GeV at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 40.0 GeV < $p_{T}^{t\bar{t}}$ < 150.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 40.0 GeV < $p_{T}^{t\bar{t}}$ < 150.0 GeV at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 150.0 GeV < $p_{T}^{t\bar{t}}$ < 1000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 40.0 GeV at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 150.0 GeV < $p_{T}^{t\bar{t}}$ < 1000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 40.0 GeV < $p_{T}^{t\bar{t}}$ < 150.0 GeV at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Covariance matrix between the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 150.0 GeV < $p_{T}^{t\bar{t}}$ < 1000.0 GeV and the Relative double-differential cross-section as function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ in 150.0 GeV < $p_{T}^{t\bar{t}}$ < 1000.0 GeV at particle level in the boosted topology, accounting for the statistical and systematic uncertainties.
Absolute double-differential cross-section as a function of $p_{T}^{t,had}$ vs $p_{T}^{t\bar{t}}$ at particle level in the boosted topology in 0.0 GeV < $p_{T}^{t\bar{t}}$ < 40.0 GeV. Note that the values shown here are obtained by propagating the individual uncertainties to the measured cross-sections, while the covariance matrices are evaluated using pseudo-experiments as described in the text. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Covariance matrix of the Relative differential cross-section as function of $m^{t\bar{t}}$ at parton level in the boosted topology, accounting for the statistical and systematic uncertainties.
A search for flavour-changing neutral current (FCNC) events via the coupling of a top quark, a photon, and an up or charm quark is presented using 81 fb$^{-1}$ of proton-proton collision data taken at a centre-of-mass energy of 13 TeV with the ATLAS detector at the LHC. Events with a photon, an electron or muon, a $b$-tagged jet, and missing transverse momentum are selected. A neural network based on kinematic variables differentiates between events from signal and background processes. The data are consistent with the background-only hypothesis, and limits are set on the strength of the $tq\gamma$ coupling in an effective field theory. These are also interpreted as 95% CL upper limits on the cross section for FCNC $t\gamma$ production via a left-handed (right-handed) $tu\gamma$ coupling of 36 fb (78 fb) and on the branching ratio for $t\rightarrow \gamma u$ of $2.8\times 10^{-5}$ ($6.1\times 10^{-5}$). In addition, they are interpreted as 95% CL upper limits on the cross section for FCNC $t\gamma$ production via a left-handed (right-handed) $tc\gamma$ coupling of 40 fb (33 fb) and on the branching ratio for $t\rightarrow \gamma c$ of $22\times 10^{-5}$ ($18\times 10^{-5}$).
A search for the electroweak production of charginos and sleptons decaying into final states with two electrons or muons is presented. The analysis is based on 139 fb$^{-1}$ of proton-proton collisions recorded by the ATLAS detector at the Large Hadron Collider at $\sqrt{s}=13$ TeV. Three $R$-parity-conserving scenarios where the lightest neutralino is the lightest supersymmetric particle are considered: the production of chargino pairs with decays via either $W$ bosons or sleptons, and the direct production of slepton pairs. The analysis is optimised for the first of these scenarios, but the results are also interpreted in the others. No significant deviations from the Standard Model expectations are observed and limits at 95 % confidence level are set on the masses of relevant supersymmetric particles in each of the scenarios. For a massless lightest neutralino, masses up to 420 GeV are excluded for the production of the lightest-chargino pairs assuming $W$-boson-mediated decays and up to 1 TeV for slepton-mediated decays, whereas for slepton-pair production masses up to 700 GeV are excluded assuming three generations of mass-degenerate sleptons.
- - - - - - - - Overview of HEPData Record - - - - - - - - <br/><br/> <b>Background Fit results:</b> <ul> <li><a href="89413?version=1&table=Backgroundfit1">CRs</a> <li><a href="89413?version=1&table=Backgroundfit2">VRs</a> <li><a href="89413?version=1&table=Backgroundfit5">inclusive DF-0J SRs</a> <li><a href="89413?version=1&table=Backgroundfit6">inclusive DF-1J SRs</a> <li><a href="89413?version=1&table=Backgroundfit3">inclusive SF-0J SRs</a> <li><a href="89413?version=1&table=Backgroundfit4">inclusive SF-1J SRs</a> </ul> <b>Kinematic distributions in VRs:</b> <ul> <li><a href="89413?version=1&table=VRkinematics1">$m_{T2}$ in VR-top-low</a> <li><a href="89413?version=1&table=VRkinematics2">$m_{T2}$ in VR-top-high</a> <li><a href="89413?version=1&table=VRkinematics3">$E_T^{miss}$ in VR-WW-0J</a> <li><a href="89413?version=1&table=VRkinematics4">$E_T^{miss}$ in VR-WW-1J</a> <li><a href="89413?version=1&table=VRkinematics5">$E_T^{miss}$ sig in VR-VZ</a> <li><a href="89413?version=1&table=VRkinematics6">$E_T^{miss}$ sig in VR-top-WW</a> </ul> <b>Kinematic distributions in SRs:</b> <ul> <li><a href="89413?version=1&table=SRkinematics1">$m_{T2}$ in SR-SF-0J</a> <li><a href="89413?version=1&table=SRkinematics2">$m_{T2}$ in SR-SF-1J</a> <li><a href="89413?version=1&table=SRkinematics3">$m_{T2}$ in SR-DF-0J</a> <li><a href="89413?version=1&table=SRkinematics4">$m_{T2}$ in SR-DF-1J</a> </ul> <b>Systematic uncertaities:</b> <ul> <li><a href="89413?version=1&table=Systematic uncertainties">dominant systematic uncertainties in the inclusive SRs</a> </ul> <b>Exclusion contours:</b> <ul> <li><a href="89413?version=1&table=Exclusioncontour(obs)1">expected exclusion contour direct chargino-pair production via W decay grid</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)1">observed exclusion contour direct chargino-pair production via W decay grid</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)2">expected exclusion contour direct chargino-pair production via slepton decay grid</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)2">observed exclusion contour direct chargino-pair production via slepton decay grid</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)3">expected exclusion contour direct slepton-pair production grid</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)3">observed exclusion contour direct slepton-pair production grid</a> </ul> <br/><br/><b>AUXILIARY MATERIAL</b><br/> <b>Background Fit in binned SRs:</b> <ul> <li><a href="89413?version=1&table=Backgroundfit7">binned DF-0J SRs</a> <li><a href="89413?version=1&table=Backgroundfit8">binned DF-1J SRs</a> <li><a href="89413?version=1&table=Backgroundfit9">binned SF-0J SRs</a> <li><a href="89413?version=1&table=Backgroundfit10">binned SF-1J SRs</a> </ul> <b>Exclusion contours:</b> <ul> <li><a href="89413?version=1&table=Exclusioncontour(obs)4">expected exclusion contour left-handed slepton-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)4">observed exclusion contour left-handed slepton-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)5">expected exclusion contour right-handed slepton-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)5">observed exclusion contour right-handed slepton-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)6">expected exclusion contour selectron-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)6">observed exclusion contour selectron-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)7">expected exclusion contour left-handed selectron-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)7">observed exclusion contour left-handed selectron-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)8">expected exclusion contour right-handed selectron-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)8">observed exclusion contour right-handed selectron-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)9">expected exclusion contour smuon-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)9">observed exclusion contour smuon-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)10">expected exclusion contour left-handed smuon-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)10">observed exclusion contour left-handed smuon-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)11">expected exclusion contour right-handed smuon-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)11">observed exclusion contour right-handed smuon-pair production</a> </ul> <b>Cross section upper limits:</b> <ul> <li><a href="89413?version=1&table=xsecupperlimits1">upper limits on signal cross section for direct chargino-pair production via W decay</a> <li><a href="89413?version=1&table=xsecupperlimits2">upper limits on signal cross section for direct chargino-pair production via slepton decay</a> <li><a href="89413?version=1&table=xsecupperlimits3">upper limits on signal cross section for direct slepton-pair production</a> </ul> <b>Acceptances and Efficiencies for direct chargino-pair production via W decay grid </b> <ul> <li> <b>Acceptance</b> <br/> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[100,inf)forC1C1WWgrid">SR-DF-0J-[100,inf) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[160,inf)forC1C1WWgrid">SR-DF-0J-[160,inf) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[100,120)forC1C1WWgrid">SR-DF-0J-[100,120) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[120,160)forC1C1WWgrid">SR-DF-0J-[120,160) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[100,105)forC1C1WWgrid">SR-DF-0J-[100,105) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[105,110)forC1C1WWgrid">SR-DF-0J-[105,110) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[110,120)forC1C1WWgrid">SR-DF-0J-[110,120) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[120,140)forC1C1WWgrid">SR-DF-0J-[120,140) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[140,160)forC1C1WWgrid">SR-DF-0J-[140,160) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[160,180)forC1C1WWgrid">SR-DF-0J-[160,180) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[180,220)forC1C1WWgrid">SR-DF-0J-[180,220) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[220,260)forC1C1WWgrid">SR-DF-0J-[220,260) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[260,inf)forC1C1WWgrid">SR-DF-0J-[260,inf) </a><br/> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[100,inf)forC1C1WWgrid">SR-DF-1J-[100,inf) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[160,inf)forC1C1WWgrid">SR-DF-1J-[160,inf) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[100,120)forC1C1WWgrid">SR-DF-1J-[100,120) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[120,160)forC1C1WWgrid">SR-DF-1J-[120,160) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[100,105)forC1C1WWgrid">SR-DF-1J-[100,105) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[105,110)forC1C1WWgrid">SR-DF-1J-[105,110) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[110,120)forC1C1WWgrid">SR-DF-1J-[110,120) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[120,140)forC1C1WWgrid">SR-DF-1J-[120,140) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[140,160)forC1C1WWgrid">SR-DF-1J-[140,160) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[160,180)forC1C1WWgrid">SR-DF-1J-[160,180) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[180,220)forC1C1WWgrid">SR-DF-1J-[180,220) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[220,260)forC1C1WWgrid">SR-DF-1J-[220,260) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[260,inf)forC1C1WWgrid">SR-DF-1J-[260,inf) </a><br/> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[100,inf)forC1C1WWgrid">SR-SF-0J-[100,inf) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[160,inf)forC1C1WWgrid">SR-SF-0J-[160,inf) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[100,120)forC1C1WWgrid">SR-SF-0J-[100,120) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[120,160)forC1C1WWgrid">SR-SF-0J-[120,160) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[100,105)forC1C1WWgrid">SR-SF-0J-[100,105) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[105,110)forC1C1WWgrid">SR-SF-0J-[105,110) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[110,120)forC1C1WWgrid">SR-SF-0J-[110,120) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[120,140)forC1C1WWgrid">SR-SF-0J-[120,140) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[140,160)forC1C1WWgrid">SR-SF-0J-[140,160) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[160,180)forC1C1WWgrid">SR-SF-0J-[160,180) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[180,220)forC1C1WWgrid">SR-SF-0J-[180,220) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[220,260)forC1C1WWgrid">SR-SF-0J-[220,260) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[260,inf)forC1C1WWgrid">SR-SF-0J-[260,inf) </a><br/> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[100,inf)forC1C1WWgrid">SR-SF-1J-[100,inf) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[160,inf)forC1C1WWgrid">SR-SF-1J-[160,inf) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[100,120)forC1C1WWgrid">SR-SF-1J-[100,120) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[120,160)forC1C1WWgrid">SR-SF-1J-[120,160) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[100,105)forC1C1WWgrid">SR-SF-1J-[100,105) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[105,110)forC1C1WWgrid">SR-SF-1J-[105,110) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[110,120)forC1C1WWgrid">SR-SF-1J-[110,120) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[120,140)forC1C1WWgrid">SR-SF-1J-[120,140) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[140,160)forC1C1WWgrid">SR-SF-1J-[140,160) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[160,180)forC1C1WWgrid">SR-SF-1J-[160,180) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[180,220)forC1C1WWgrid">SR-SF-1J-[180,220) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[220,260)forC1C1WWgrid">SR-SF-1J-[220,260) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[260,inf)forC1C1WWgrid">SR-SF-1J-[260,inf) </a><br/> <li> <b>Efficiency</b> <br/> <a href="89413?version=1&table=EfficiencySR-DF-0J-[100,inf)forC1C1WWgrid">SR-DF-0J-[100,inf) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[160,inf)forC1C1WWgrid">SR-DF-0J-[160,inf) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[100,120)forC1C1WWgrid">SR-DF-0J-[100,120) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[120,160)forC1C1WWgrid">SR-DF-0J-[120,160) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[100,105)forC1C1WWgrid">SR-DF-0J-[100,105) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[105,110)forC1C1WWgrid">SR-DF-0J-[105,110) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[110,120)forC1C1WWgrid">SR-DF-0J-[110,120) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[120,140)forC1C1WWgrid">SR-DF-0J-[120,140) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[140,160)forC1C1WWgrid">SR-DF-0J-[140,160) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[160,180)forC1C1WWgrid">SR-DF-0J-[160,180) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[180,220)forC1C1WWgrid">SR-DF-0J-[180,220) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[220,260)forC1C1WWgrid">SR-DF-0J-[220,260) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[260,inf)forC1C1WWgrid">SR-DF-0J-[260,inf) </a><br/> <a href="89413?version=1&table=EfficiencySR-DF-1J-[100,inf)forC1C1WWgrid">SR-DF-1J-[100,inf) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[160,inf)forC1C1WWgrid">SR-DF-1J-[160,inf) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[100,120)forC1C1WWgrid">SR-DF-1J-[100,120) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[120,160)forC1C1WWgrid">SR-DF-1J-[120,160) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[100,105)forC1C1WWgrid">SR-DF-1J-[100,105) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[105,110)forC1C1WWgrid">SR-DF-1J-[105,110) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[110,120)forC1C1WWgrid">SR-DF-1J-[110,120) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[120,140)forC1C1WWgrid">SR-DF-1J-[120,140) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[140,160)forC1C1WWgrid">SR-DF-1J-[140,160) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[160,180)forC1C1WWgrid">SR-DF-1J-[160,180) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[180,220)forC1C1WWgrid">SR-DF-1J-[180,220) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[220,260)forC1C1WWgrid">SR-DF-1J-[220,260) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[260,inf)forC1C1WWgrid">SR-DF-1J-[260,inf) </a><br/> <a href="89413?version=1&table=EfficiencySR-SF-0J-[100,inf)forC1C1WWgrid">SR-SF-0J-[100,inf) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[160,inf)forC1C1WWgrid">SR-SF-0J-[160,inf) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[100,120)forC1C1WWgrid">SR-SF-0J-[100,120) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[120,160)forC1C1WWgrid">SR-SF-0J-[120,160) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[100,105)forC1C1WWgrid">SR-SF-0J-[100,105) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[105,110)forC1C1WWgrid">SR-SF-0J-[105,110) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[110,120)forC1C1WWgrid">SR-SF-0J-[110,120) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[120,140)forC1C1WWgrid">SR-SF-0J-[120,140) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[140,160)forC1C1WWgrid">SR-SF-0J-[140,160) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[160,180)forC1C1WWgrid">SR-SF-0J-[160,180) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[180,220)forC1C1WWgrid">SR-SF-0J-[180,220) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[220,260)forC1C1WWgrid">SR-SF-0J-[220,260) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[260,inf)forC1C1WWgrid">SR-SF-0J-[260,inf) </a><br/> <a href="89413?version=1&table=EfficiencySR-SF-1J-[100,inf)forC1C1WWgrid">SR-SF-1J-[100,inf) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[160,inf)forC1C1WWgrid">SR-SF-1J-[160,inf) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[100,120)forC1C1WWgrid">SR-SF-1J-[100,120) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[120,160)forC1C1WWgrid">SR-SF-1J-[120,160) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[100,105)forC1C1WWgrid">SR-SF-1J-[100,105) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[105,110)forC1C1WWgrid">SR-SF-1J-[105,110) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[110,120)forC1C1WWgrid">SR-SF-1J-[110,120) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[120,140)forC1C1WWgrid">SR-SF-1J-[120,140) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[140,160)forC1C1WWgrid">SR-SF-1J-[140,160) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[160,180)forC1C1WWgrid">SR-SF-1J-[160,180) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[180,220)forC1C1WWgrid">SR-SF-1J-[180,220) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[220,260)forC1C1WWgrid">SR-SF-1J-[220,260) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[260,inf)forC1C1WWgrid">SR-SF-1J-[260,inf) </a><br/> </ul> <b>Cutflow:</b> <ul> <li><a href="89413?version=1&table=Cutflow1">Cutflow for direct chargino-pair production via W decay $m(\tilde{\chi}^{\pm}_1,\tilde{\chi}^{0}_1)=(300,50) GeV$</a> <li><a href="89413?version=1&table=Cutflow1">Cutflow for direct chargino-pair production via slepton decay $m(\tilde{\chi}^{\pm}_1,\tilde{l},\tilde{\chi}^{0}_1)=(600,300,1) GeV$</a> <li><a href="89413?version=1&table=Cutflow1">Cutflow for direct slepton-pair production $m(\tilde{l},\tilde{\chi}^{0}_1)=(400,200) GeV$</a> </ul> <b>Truth Code snippets</b> are available under "Resources" (purple button on the left)
- - - - - - - - Overview of HEPData Record - - - - - - - - <br/><br/> <b>Background Fit results:</b> <ul> <li><a href="89413?version=1&table=Backgroundfit1">CRs</a> <li><a href="89413?version=1&table=Backgroundfit2">VRs</a> <li><a href="89413?version=1&table=Backgroundfit5">inclusive DF-0J SRs</a> <li><a href="89413?version=1&table=Backgroundfit6">inclusive DF-1J SRs</a> <li><a href="89413?version=1&table=Backgroundfit3">inclusive SF-0J SRs</a> <li><a href="89413?version=1&table=Backgroundfit4">inclusive SF-1J SRs</a> </ul> <b>Kinematic distributions in VRs:</b> <ul> <li><a href="89413?version=1&table=VRkinematics1">$m_{T2}$ in VR-top-low</a> <li><a href="89413?version=1&table=VRkinematics2">$m_{T2}$ in VR-top-high</a> <li><a href="89413?version=1&table=VRkinematics3">$E_T^{miss}$ in VR-WW-0J</a> <li><a href="89413?version=1&table=VRkinematics4">$E_T^{miss}$ in VR-WW-1J</a> <li><a href="89413?version=1&table=VRkinematics5">$E_T^{miss}$ sig in VR-VZ</a> <li><a href="89413?version=1&table=VRkinematics6">$E_T^{miss}$ sig in VR-top-WW</a> </ul> <b>Kinematic distributions in SRs:</b> <ul> <li><a href="89413?version=1&table=SRkinematics1">$m_{T2}$ in SR-SF-0J</a> <li><a href="89413?version=1&table=SRkinematics2">$m_{T2}$ in SR-SF-1J</a> <li><a href="89413?version=1&table=SRkinematics3">$m_{T2}$ in SR-DF-0J</a> <li><a href="89413?version=1&table=SRkinematics4">$m_{T2}$ in SR-DF-1J</a> </ul> <b>Systematic uncertaities:</b> <ul> <li><a href="89413?version=1&table=Systematic uncertainties">dominant systematic uncertainties in the inclusive SRs</a> </ul> <b>Exclusion contours:</b> <ul> <li><a href="89413?version=1&table=Exclusioncontour(obs)1">expected exclusion contour direct chargino-pair production via W decay grid</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)1">observed exclusion contour direct chargino-pair production via W decay grid</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)2">expected exclusion contour direct chargino-pair production via slepton decay grid</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)2">observed exclusion contour direct chargino-pair production via slepton decay grid</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)3">expected exclusion contour direct slepton-pair production grid</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)3">observed exclusion contour direct slepton-pair production grid</a> </ul> <br/><br/><b>AUXILIARY MATERIAL</b><br/> <b>Background Fit in binned SRs:</b> <ul> <li><a href="89413?version=1&table=Backgroundfit7">binned DF-0J SRs</a> <li><a href="89413?version=1&table=Backgroundfit8">binned DF-1J SRs</a> <li><a href="89413?version=1&table=Backgroundfit9">binned SF-0J SRs</a> <li><a href="89413?version=1&table=Backgroundfit10">binned SF-1J SRs</a> </ul> <b>Exclusion contours:</b> <ul> <li><a href="89413?version=1&table=Exclusioncontour(obs)4">expected exclusion contour left-handed slepton-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)4">observed exclusion contour left-handed slepton-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)5">expected exclusion contour right-handed slepton-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)5">observed exclusion contour right-handed slepton-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)6">expected exclusion contour selectron-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)6">observed exclusion contour selectron-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)7">expected exclusion contour left-handed selectron-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)7">observed exclusion contour left-handed selectron-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)8">expected exclusion contour right-handed selectron-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)8">observed exclusion contour right-handed selectron-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)9">expected exclusion contour smuon-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)9">observed exclusion contour smuon-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)10">expected exclusion contour left-handed smuon-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)10">observed exclusion contour left-handed smuon-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(obs)11">expected exclusion contour right-handed smuon-pair production</a> <li><a href="89413?version=1&table=Exclusioncontour(exp)11">observed exclusion contour right-handed smuon-pair production</a> </ul> <b>Cross section upper limits:</b> <ul> <li><a href="89413?version=1&table=xsecupperlimits1">upper limits on signal cross section for direct chargino-pair production via W decay</a> <li><a href="89413?version=1&table=xsecupperlimits2">upper limits on signal cross section for direct chargino-pair production via slepton decay</a> <li><a href="89413?version=1&table=xsecupperlimits3">upper limits on signal cross section for direct slepton-pair production</a> </ul> <b>Acceptances and Efficiencies for direct chargino-pair production via W decay grid </b> <ul> <li> <b>Acceptance</b> <br/> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[100,inf)forC1C1WWgrid">SR-DF-0J-[100,inf) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[160,inf)forC1C1WWgrid">SR-DF-0J-[160,inf) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[100,120)forC1C1WWgrid">SR-DF-0J-[100,120) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[120,160)forC1C1WWgrid">SR-DF-0J-[120,160) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[100,105)forC1C1WWgrid">SR-DF-0J-[100,105) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[105,110)forC1C1WWgrid">SR-DF-0J-[105,110) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[110,120)forC1C1WWgrid">SR-DF-0J-[110,120) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[120,140)forC1C1WWgrid">SR-DF-0J-[120,140) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[140,160)forC1C1WWgrid">SR-DF-0J-[140,160) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[160,180)forC1C1WWgrid">SR-DF-0J-[160,180) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[180,220)forC1C1WWgrid">SR-DF-0J-[180,220) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[220,260)forC1C1WWgrid">SR-DF-0J-[220,260) </a> <a href="89413?version=1&table=AcceptanceSR-DF-0J-[260,inf)forC1C1WWgrid">SR-DF-0J-[260,inf) </a><br/> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[100,inf)forC1C1WWgrid">SR-DF-1J-[100,inf) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[160,inf)forC1C1WWgrid">SR-DF-1J-[160,inf) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[100,120)forC1C1WWgrid">SR-DF-1J-[100,120) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[120,160)forC1C1WWgrid">SR-DF-1J-[120,160) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[100,105)forC1C1WWgrid">SR-DF-1J-[100,105) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[105,110)forC1C1WWgrid">SR-DF-1J-[105,110) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[110,120)forC1C1WWgrid">SR-DF-1J-[110,120) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[120,140)forC1C1WWgrid">SR-DF-1J-[120,140) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[140,160)forC1C1WWgrid">SR-DF-1J-[140,160) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[160,180)forC1C1WWgrid">SR-DF-1J-[160,180) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[180,220)forC1C1WWgrid">SR-DF-1J-[180,220) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[220,260)forC1C1WWgrid">SR-DF-1J-[220,260) </a> <a href="89413?version=1&table=AcceptanceSR-DF-1J-[260,inf)forC1C1WWgrid">SR-DF-1J-[260,inf) </a><br/> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[100,inf)forC1C1WWgrid">SR-SF-0J-[100,inf) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[160,inf)forC1C1WWgrid">SR-SF-0J-[160,inf) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[100,120)forC1C1WWgrid">SR-SF-0J-[100,120) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[120,160)forC1C1WWgrid">SR-SF-0J-[120,160) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[100,105)forC1C1WWgrid">SR-SF-0J-[100,105) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[105,110)forC1C1WWgrid">SR-SF-0J-[105,110) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[110,120)forC1C1WWgrid">SR-SF-0J-[110,120) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[120,140)forC1C1WWgrid">SR-SF-0J-[120,140) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[140,160)forC1C1WWgrid">SR-SF-0J-[140,160) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[160,180)forC1C1WWgrid">SR-SF-0J-[160,180) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[180,220)forC1C1WWgrid">SR-SF-0J-[180,220) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[220,260)forC1C1WWgrid">SR-SF-0J-[220,260) </a> <a href="89413?version=1&table=AcceptanceSR-SF-0J-[260,inf)forC1C1WWgrid">SR-SF-0J-[260,inf) </a><br/> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[100,inf)forC1C1WWgrid">SR-SF-1J-[100,inf) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[160,inf)forC1C1WWgrid">SR-SF-1J-[160,inf) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[100,120)forC1C1WWgrid">SR-SF-1J-[100,120) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[120,160)forC1C1WWgrid">SR-SF-1J-[120,160) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[100,105)forC1C1WWgrid">SR-SF-1J-[100,105) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[105,110)forC1C1WWgrid">SR-SF-1J-[105,110) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[110,120)forC1C1WWgrid">SR-SF-1J-[110,120) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[120,140)forC1C1WWgrid">SR-SF-1J-[120,140) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[140,160)forC1C1WWgrid">SR-SF-1J-[140,160) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[160,180)forC1C1WWgrid">SR-SF-1J-[160,180) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[180,220)forC1C1WWgrid">SR-SF-1J-[180,220) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[220,260)forC1C1WWgrid">SR-SF-1J-[220,260) </a> <a href="89413?version=1&table=AcceptanceSR-SF-1J-[260,inf)forC1C1WWgrid">SR-SF-1J-[260,inf) </a><br/> <li> <b>Efficiency</b> <br/> <a href="89413?version=1&table=EfficiencySR-DF-0J-[100,inf)forC1C1WWgrid">SR-DF-0J-[100,inf) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[160,inf)forC1C1WWgrid">SR-DF-0J-[160,inf) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[100,120)forC1C1WWgrid">SR-DF-0J-[100,120) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[120,160)forC1C1WWgrid">SR-DF-0J-[120,160) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[100,105)forC1C1WWgrid">SR-DF-0J-[100,105) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[105,110)forC1C1WWgrid">SR-DF-0J-[105,110) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[110,120)forC1C1WWgrid">SR-DF-0J-[110,120) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[120,140)forC1C1WWgrid">SR-DF-0J-[120,140) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[140,160)forC1C1WWgrid">SR-DF-0J-[140,160) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[160,180)forC1C1WWgrid">SR-DF-0J-[160,180) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[180,220)forC1C1WWgrid">SR-DF-0J-[180,220) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[220,260)forC1C1WWgrid">SR-DF-0J-[220,260) </a> <a href="89413?version=1&table=EfficiencySR-DF-0J-[260,inf)forC1C1WWgrid">SR-DF-0J-[260,inf) </a><br/> <a href="89413?version=1&table=EfficiencySR-DF-1J-[100,inf)forC1C1WWgrid">SR-DF-1J-[100,inf) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[160,inf)forC1C1WWgrid">SR-DF-1J-[160,inf) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[100,120)forC1C1WWgrid">SR-DF-1J-[100,120) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[120,160)forC1C1WWgrid">SR-DF-1J-[120,160) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[100,105)forC1C1WWgrid">SR-DF-1J-[100,105) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[105,110)forC1C1WWgrid">SR-DF-1J-[105,110) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[110,120)forC1C1WWgrid">SR-DF-1J-[110,120) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[120,140)forC1C1WWgrid">SR-DF-1J-[120,140) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[140,160)forC1C1WWgrid">SR-DF-1J-[140,160) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[160,180)forC1C1WWgrid">SR-DF-1J-[160,180) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[180,220)forC1C1WWgrid">SR-DF-1J-[180,220) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[220,260)forC1C1WWgrid">SR-DF-1J-[220,260) </a> <a href="89413?version=1&table=EfficiencySR-DF-1J-[260,inf)forC1C1WWgrid">SR-DF-1J-[260,inf) </a><br/> <a href="89413?version=1&table=EfficiencySR-SF-0J-[100,inf)forC1C1WWgrid">SR-SF-0J-[100,inf) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[160,inf)forC1C1WWgrid">SR-SF-0J-[160,inf) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[100,120)forC1C1WWgrid">SR-SF-0J-[100,120) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[120,160)forC1C1WWgrid">SR-SF-0J-[120,160) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[100,105)forC1C1WWgrid">SR-SF-0J-[100,105) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[105,110)forC1C1WWgrid">SR-SF-0J-[105,110) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[110,120)forC1C1WWgrid">SR-SF-0J-[110,120) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[120,140)forC1C1WWgrid">SR-SF-0J-[120,140) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[140,160)forC1C1WWgrid">SR-SF-0J-[140,160) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[160,180)forC1C1WWgrid">SR-SF-0J-[160,180) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[180,220)forC1C1WWgrid">SR-SF-0J-[180,220) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[220,260)forC1C1WWgrid">SR-SF-0J-[220,260) </a> <a href="89413?version=1&table=EfficiencySR-SF-0J-[260,inf)forC1C1WWgrid">SR-SF-0J-[260,inf) </a><br/> <a href="89413?version=1&table=EfficiencySR-SF-1J-[100,inf)forC1C1WWgrid">SR-SF-1J-[100,inf) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[160,inf)forC1C1WWgrid">SR-SF-1J-[160,inf) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[100,120)forC1C1WWgrid">SR-SF-1J-[100,120) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[120,160)forC1C1WWgrid">SR-SF-1J-[120,160) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[100,105)forC1C1WWgrid">SR-SF-1J-[100,105) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[105,110)forC1C1WWgrid">SR-SF-1J-[105,110) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[110,120)forC1C1WWgrid">SR-SF-1J-[110,120) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[120,140)forC1C1WWgrid">SR-SF-1J-[120,140) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[140,160)forC1C1WWgrid">SR-SF-1J-[140,160) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[160,180)forC1C1WWgrid">SR-SF-1J-[160,180) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[180,220)forC1C1WWgrid">SR-SF-1J-[180,220) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[220,260)forC1C1WWgrid">SR-SF-1J-[220,260) </a> <a href="89413?version=1&table=EfficiencySR-SF-1J-[260,inf)forC1C1WWgrid">SR-SF-1J-[260,inf) </a><br/> </ul> <b>Cutflow:</b> <ul> <li><a href="89413?version=1&table=Cutflow1">Cutflow for direct chargino-pair production via W decay $m(\tilde{\chi}^{\pm}_1,\tilde{\chi}^{0}_1)=(300,50) GeV$</a> <li><a href="89413?version=1&table=Cutflow1">Cutflow for direct chargino-pair production via slepton decay $m(\tilde{\chi}^{\pm}_1,\tilde{l},\tilde{\chi}^{0}_1)=(600,300,1) GeV$</a> <li><a href="89413?version=1&table=Cutflow1">Cutflow for direct slepton-pair production $m(\tilde{l},\tilde{\chi}^{0}_1)=(400,200) GeV$</a> </ul> <b>SimpleAnalysis framework implementation</b> of the search SRs is available under "Resources" (purple button on the left)
- - - - - - - - Overview of HEPData Record - - - - - - - - <br/><br/> <b>Background Fit results:</b> <ul> <li><a href="89413?version=3&table=Background fit 1">CRs</a> <li><a href="89413?version=3&table=Background fit 2">VRs</a> <li><a href="89413?version=3&table=Background fit 5">inclusive DF-0J SRs</a> <li><a href="89413?version=3&table=Background fit 6">inclusive DF-1J SRs</a> <li><a href="89413?version=3&table=Background fit 3">inclusive SF-0J SRs</a> <li><a href="89413?version=3&table=Background fit 4">inclusive SF-1J SRs</a> </ul> <b>Kinematic distributions in VRs:</b> <ul> <li><a href="89413?version=3&table=VR kinematics 1">$m_{T2}$ in VR-top-low</a> <li><a href="89413?version=3&table=VR kinematics 2">$m_{T2}$ in VR-top-high</a> <li><a href="89413?version=3&table=VR kinematics 3">$E_T^{miss}$ in VR-WW-0J</a> <li><a href="89413?version=3&table=VR kinematics 4">$E_T^{miss}$ in VR-WW-1J</a> <li><a href="89413?version=3&table=VR kinematics 5">$E_T^{miss}$ sig in VR-VZ</a> <li><a href="89413?version=3&table=VR kinematics 6">$E_T^{miss}$ sig in VR-top-WW</a> </ul> <b>Kinematic distributions in SRs:</b> <ul> <li><a href="89413?version=3&table=SR kinematics 1">$m_{T2}$ in SR-SF-0J</a> <li><a href="89413?version=3&table=SR kinematics 2">$m_{T2}$ in SR-SF-1J</a> <li><a href="89413?version=3&table=SR kinematics 3">$m_{T2}$ in SR-DF-0J</a> <li><a href="89413?version=3&table=SR kinematics 4">$m_{T2}$ in SR-DF-1J</a> </ul> <b>Systematic uncertaities:</b> <ul> <li><a href="89413?version=3&table=Systematic uncertainties">dominant systematic uncertainties in the inclusive SRs</a> </ul> <b>Exclusion contours:</b> <ul> <li><a href="89413?version=3&table=Exclusion contour (exp) 1">expected exclusion contour direct chargino-pair production via W decay grid</a> <li><a href="89413?version=3&table=Exclusion contour (obs) 1">observed exclusion contour direct chargino-pair production via W decay grid</a> <li><a href="89413?version=3&table=Exclusion contour (exp) 2">expected exclusion contour direct chargino-pair production via slepton decay grid</a> <li><a href="89413?version=3&table=Exclusion contour (obs) 2">observed exclusion contour direct chargino-pair production via slepton decay grid</a> <li><a href="89413?version=3&table=Exclusion contour (exp) 3">expected exclusion contour direct slepton-pair production grid</a> <li><a href="89413?version=3&table=Exclusion contour (obs) 3">observed exclusion contour direct slepton-pair production grid</a> </ul> <br/><br/><b>AUXILIARY MATERIAL</b><br/> <b>Background Fit in binned SRs:</b> <ul> <li><a href="89413?version=3&table=Background fit 7">binned DF-0J SRs</a> <li><a href="89413?version=3&table=Background fit 8">binned DF-1J SRs</a> <li><a href="89413?version=3&table=Background fit 9">binned SF-0J SRs</a> <li><a href="89413?version=3&table=Background fit 10">binned SF-1J SRs</a> </ul> <b>Exclusion contours:</b> <ul> <li><a href="89413?version=3&table=Exclusion contour (exp) 4">expected exclusion contour left-handed slepton-pair production</a> <li><a href="89413?version=3&table=Exclusion contour (obs) 4">observed exclusion contour left-handed slepton-pair production</a> <li><a href="89413?version=3&table=Exclusion contour (exp) 5">expected exclusion contour right-handed slepton-pair production</a> <li><a href="89413?version=3&table=Exclusion contour (obs) 5">observed exclusion contour right-handed slepton-pair production</a> <li><a href="89413?version=3&table=Exclusion contour (exp) 6">expected exclusion contour selectron-pair production</a> <li><a href="89413?version=3&table=Exclusion contour (obs) 6">observed exclusion contour selectron-pair production</a> <li><a href="89413?version=3&table=Exclusion contour (exp) 7">expected exclusion contour left-handed selectron-pair production</a> <li><a href="89413?version=3&table=Exclusion contour (obs) 7">observed exclusion contour left-handed selectron-pair production</a> <li><a href="89413?version=3&table=Exclusion contour (exp) 8">expected exclusion contour right-handed selectron-pair production</a> <li><a href="89413?version=3&table=Exclusion contour (obs) 8">observed exclusion contour right-handed selectron-pair production</a> <li><a href="89413?version=3&table=Exclusion contour (exp) 9">expected exclusion contour smuon-pair production</a> <li><a href="89413?version=3&table=Exclusion contour (obs) 9">observed exclusion contour smuon-pair production</a> <li><a href="89413?version=3&table=Exclusion contour (exp) 10">expected exclusion contour left-handed smuon-pair production</a> <li><a href="89413?version=3&table=Exclusion contour (obs) 10">observed exclusion contour left-handed smuon-pair production</a> <li><a href="89413?version=3&table=Exclusion contour (exp) 11">expected exclusion contour right-handed smuon-pair production</a> <li><a href="89413?version=3&table=Exclusion contour (obs) 11">observed exclusion contour right-handed smuon-pair production</a> </ul> <b>Cross section upper limits:</b> <ul> <li><a href="89413?version=3&table=xsec upper limits 1">upper limits on signal cross section for direct chargino-pair production via W decay</a> <li><a href="89413?version=3&table=xsec upper limits 2">upper limits on signal cross section for direct chargino-pair production via slepton decay</a> <li><a href="89413?version=3&table=xsec upper limits 3">upper limits on signal cross section for direct slepton-pair production</a> </ul> <b>Acceptances and Efficiencies for direct chargino-pair production via W decay grid </b> <ul> <li> <b>Acceptance</b> <br/> <a href="89413?version=3&table=Acceptance SR-DF-0J-[100,inf) for C1C1WW grid">SR-DF-0J-[100,inf) </a> <a href="89413?version=3&table=Acceptance SR-DF-0J-[160,inf) for C1C1WW grid">SR-DF-0J-[160,inf) </a> <a href="89413?version=3&table=Acceptance SR-DF-0J-[100,120) for C1C1WW grid">SR-DF-0J-[100,120) </a> <a href="89413?version=3&table=Acceptance SR-DF-0J-[120,160) for C1C1WW grid">SR-DF-0J-[120,160) </a> <a href="89413?version=3&table=Acceptance SR-DF-0J-[100,105) for C1C1WW grid">SR-DF-0J-[100,105) </a> <a href="89413?version=3&table=Acceptance SR-DF-0J-[105,110) for C1C1WW grid">SR-DF-0J-[105,110) </a> <a href="89413?version=3&table=Acceptance SR-DF-0J-[110,120) for C1C1WW grid">SR-DF-0J-[110,120) </a> <a href="89413?version=3&table=Acceptance SR-DF-0J-[120,140) for C1C1WW grid">SR-DF-0J-[120,140) </a> <a href="89413?version=3&table=Acceptance SR-DF-0J-[140,160) for C1C1WW grid">SR-DF-0J-[140,160) </a> <a href="89413?version=3&table=Acceptance SR-DF-0J-[160,180) for C1C1WW grid">SR-DF-0J-[160,180) </a> <a href="89413?version=3&table=Acceptance SR-DF-0J-[180,220) for C1C1WW grid">SR-DF-0J-[180,220) </a> <a href="89413?version=3&table=Acceptance SR-DF-0J-[220,260) for C1C1WW grid">SR-DF-0J-[220,260) </a> <a href="89413?version=3&table=Acceptance SR-DF-0J-[260,inf) for C1C1WW grid">SR-DF-0J-[260,inf) </a><br/> <a href="89413?version=3&table=Acceptance SR-DF-1J-[100,inf) for C1C1WW grid">SR-DF-1J-[100,inf) </a> <a href="89413?version=3&table=Acceptance SR-DF-1J-[160,inf) for C1C1WW grid">SR-DF-1J-[160,inf) </a> <a href="89413?version=3&table=Acceptance SR-DF-1J-[100,120) for C1C1WW grid">SR-DF-1J-[100,120) </a> <a href="89413?version=3&table=Acceptance SR-DF-1J-[120,160) for C1C1WW grid">SR-DF-1J-[120,160) </a> <a href="89413?version=3&table=Acceptance SR-DF-1J-[100,105) for C1C1WW grid">SR-DF-1J-[100,105) </a> <a href="89413?version=3&table=Acceptance SR-DF-1J-[105,110) for C1C1WW grid">SR-DF-1J-[105,110) </a> <a href="89413?version=3&table=Acceptance SR-DF-1J-[110,120) for C1C1WW grid">SR-DF-1J-[110,120) </a> <a href="89413?version=3&table=Acceptance SR-DF-1J-[120,140) for C1C1WW grid">SR-DF-1J-[120,140) </a> <a href="89413?version=3&table=Acceptance SR-DF-1J-[140,160) for C1C1WW grid">SR-DF-1J-[140,160) </a> <a href="89413?version=3&table=Acceptance SR-DF-1J-[160,180) for C1C1WW grid">SR-DF-1J-[160,180) </a> <a href="89413?version=3&table=Acceptance SR-DF-1J-[180,220) for C1C1WW grid">SR-DF-1J-[180,220) </a> <a href="89413?version=3&table=Acceptance SR-DF-1J-[220,260) for C1C1WW grid">SR-DF-1J-[220,260) </a> <a href="89413?version=3&table=Acceptance SR-DF-1J-[260,inf) for C1C1WW grid">SR-DF-1J-[260,inf) </a><br/> <a href="89413?version=3&table=Acceptance SR-SF-0J-[100,inf) for C1C1WW grid">SR-SF-0J-[100,inf) </a> <a href="89413?version=3&table=Acceptance SR-SF-0J-[160,inf) for C1C1WW grid">SR-SF-0J-[160,inf) </a> <a href="89413?version=3&table=Acceptance SR-SF-0J-[100,120) for C1C1WW grid">SR-SF-0J-[100,120) </a> <a href="89413?version=3&table=Acceptance SR-SF-0J-[120,160) for C1C1WW grid">SR-SF-0J-[120,160) </a> <a href="89413?version=3&table=Acceptance SR-SF-0J-[100,105) for C1C1WW grid">SR-SF-0J-[100,105) </a> <a href="89413?version=3&table=Acceptance SR-SF-0J-[105,110) for C1C1WW grid">SR-SF-0J-[105,110) </a> <a href="89413?version=3&table=Acceptance SR-SF-0J-[110,120) for C1C1WW grid">SR-SF-0J-[110,120) </a> <a href="89413?version=3&table=Acceptance SR-SF-0J-[120,140) for C1C1WW grid">SR-SF-0J-[120,140) </a> <a href="89413?version=3&table=Acceptance SR-SF-0J-[140,160) for C1C1WW grid">SR-SF-0J-[140,160) </a> <a href="89413?version=3&table=Acceptance SR-SF-0J-[160,180) for C1C1WW grid">SR-SF-0J-[160,180) </a> <a href="89413?version=3&table=Acceptance SR-SF-0J-[180,220) for C1C1WW grid">SR-SF-0J-[180,220) </a> <a href="89413?version=3&table=Acceptance SR-SF-0J-[220,260) for C1C1WW grid">SR-SF-0J-[220,260) </a> <a href="89413?version=3&table=Acceptance SR-SF-0J-[260,inf) for C1C1WW grid">SR-SF-0J-[260,inf) </a><br/> <a href="89413?version=3&table=Acceptance SR-SF-1J-[100,inf) for C1C1WW grid">SR-SF-1J-[100,inf) </a> <a href="89413?version=3&table=Acceptance SR-SF-1J-[160,inf) for C1C1WW grid">SR-SF-1J-[160,inf) </a> <a href="89413?version=3&table=Acceptance SR-SF-1J-[100,120) for C1C1WW grid">SR-SF-1J-[100,120) </a> <a href="89413?version=3&table=Acceptance SR-SF-1J-[120,160) for C1C1WW grid">SR-SF-1J-[120,160) </a> <a href="89413?version=3&table=Acceptance SR-SF-1J-[100,105) for C1C1WW grid">SR-SF-1J-[100,105) </a> <a href="89413?version=3&table=Acceptance SR-SF-1J-[105,110) for C1C1WW grid">SR-SF-1J-[105,110) </a> <a href="89413?version=3&table=Acceptance SR-SF-1J-[110,120) for C1C1WW grid">SR-SF-1J-[110,120) </a> <a href="89413?version=3&table=Acceptance SR-SF-1J-[120,140) for C1C1WW grid">SR-SF-1J-[120,140) </a> <a href="89413?version=3&table=Acceptance SR-SF-1J-[140,160) for C1C1WW grid">SR-SF-1J-[140,160) </a> <a href="89413?version=3&table=Acceptance SR-SF-1J-[160,180) for C1C1WW grid">SR-SF-1J-[160,180) </a> <a href="89413?version=3&table=Acceptance SR-SF-1J-[180,220) for C1C1WW grid">SR-SF-1J-[180,220) </a> <a href="89413?version=3&table=Acceptance SR-SF-1J-[220,260) for C1C1WW grid">SR-SF-1J-[220,260) </a> <a href="89413?version=3&table=Acceptance SR-SF-1J-[260,inf) for C1C1WW grid">SR-SF-1J-[260,inf) </a><br/> <li> <b>Efficiency</b> <br/> <a href="89413?version=3&table=Efficiency SR-DF-0J-[100,inf) for C1C1WW grid">SR-DF-0J-[100,inf) </a> <a href="89413?version=3&table=Efficiency SR-DF-0J-[160,inf) for C1C1WW grid">SR-DF-0J-[160,inf) </a> <a href="89413?version=3&table=Efficiency SR-DF-0J-[100,120) for C1C1WW grid">SR-DF-0J-[100,120) </a> <a href="89413?version=3&table=Efficiency SR-DF-0J-[120,160) for C1C1WW grid">SR-DF-0J-[120,160) </a> <a href="89413?version=3&table=Efficiency SR-DF-0J-[100,105) for C1C1WW grid">SR-DF-0J-[100,105) </a> <a href="89413?version=3&table=Efficiency SR-DF-0J-[105,110) for C1C1WW grid">SR-DF-0J-[105,110) </a> <a href="89413?version=3&table=Efficiency SR-DF-0J-[110,120) for C1C1WW grid">SR-DF-0J-[110,120) </a> <a href="89413?version=3&table=Efficiency SR-DF-0J-[120,140) for C1C1WW grid">SR-DF-0J-[120,140) </a> <a href="89413?version=3&table=Efficiency SR-DF-0J-[140,160) for C1C1WW grid">SR-DF-0J-[140,160) </a> <a href="89413?version=3&table=Efficiency SR-DF-0J-[160,180) for C1C1WW grid">SR-DF-0J-[160,180) </a> <a href="89413?version=3&table=Efficiency SR-DF-0J-[180,220) for C1C1WW grid">SR-DF-0J-[180,220) </a> <a href="89413?version=3&table=Efficiency SR-DF-0J-[220,260) for C1C1WW grid">SR-DF-0J-[220,260) </a> <a href="89413?version=3&table=Efficiency SR-DF-0J-[260,inf) for C1C1WW grid">SR-DF-0J-[260,inf) </a><br/> <a href="89413?version=3&table=Efficiency SR-DF-1J-[100,inf) for C1C1WW grid">SR-DF-1J-[100,inf) </a> <a href="89413?version=3&table=Efficiency SR-DF-1J-[160,inf) for C1C1WW grid">SR-DF-1J-[160,inf) </a> <a href="89413?version=3&table=Efficiency SR-DF-1J-[100,120) for C1C1WW grid">SR-DF-1J-[100,120) </a> <a href="89413?version=3&table=Efficiency SR-DF-1J-[120,160) for C1C1WW grid">SR-DF-1J-[120,160) </a> <a href="89413?version=3&table=Efficiency SR-DF-1J-[100,105) for C1C1WW grid">SR-DF-1J-[100,105) </a> <a href="89413?version=3&table=Efficiency SR-DF-1J-[105,110) for C1C1WW grid">SR-DF-1J-[105,110) </a> <a href="89413?version=3&table=Efficiency SR-DF-1J-[110,120) for C1C1WW grid">SR-DF-1J-[110,120) </a> <a href="89413?version=3&table=Efficiency SR-DF-1J-[120,140) for C1C1WW grid">SR-DF-1J-[120,140) </a> <a href="89413?version=3&table=Efficiency SR-DF-1J-[140,160) for C1C1WW grid">SR-DF-1J-[140,160) </a> <a href="89413?version=3&table=Efficiency SR-DF-1J-[160,180) for C1C1WW grid">SR-DF-1J-[160,180) </a> <a href="89413?version=3&table=Efficiency SR-DF-1J-[180,220) for C1C1WW grid">SR-DF-1J-[180,220) </a> <a href="89413?version=3&table=Efficiency SR-DF-1J-[220,260) for C1C1WW grid">SR-DF-1J-[220,260) </a> <a href="89413?version=3&table=Efficiency SR-DF-1J-[260,inf) for C1C1WW grid">SR-DF-1J-[260,inf) </a><br/> <a href="89413?version=3&table=Efficiency SR-SF-0J-[100,inf) for C1C1WW grid">SR-SF-0J-[100,inf) </a> <a href="89413?version=3&table=Efficiency SR-SF-0J-[160,inf) for C1C1WW grid">SR-SF-0J-[160,inf) </a> <a href="89413?version=3&table=Efficiency SR-SF-0J-[100,120) for C1C1WW grid">SR-SF-0J-[100,120) </a> <a href="89413?version=3&table=Efficiency SR-SF-0J-[120,160) for C1C1WW grid">SR-SF-0J-[120,160) </a> <a href="89413?version=3&table=Efficiency SR-SF-0J-[100,105) for C1C1WW grid">SR-SF-0J-[100,105) </a> <a href="89413?version=3&table=Efficiency SR-SF-0J-[105,110) for C1C1WW grid">SR-SF-0J-[105,110) </a> <a href="89413?version=3&table=Efficiency SR-SF-0J-[110,120) for C1C1WW grid">SR-SF-0J-[110,120) </a> <a href="89413?version=3&table=Efficiency SR-SF-0J-[120,140) for C1C1WW grid">SR-SF-0J-[120,140) </a> <a href="89413?version=3&table=Efficiency SR-SF-0J-[140,160) for C1C1WW grid">SR-SF-0J-[140,160) </a> <a href="89413?version=3&table=Efficiency SR-SF-0J-[160,180) for C1C1WW grid">SR-SF-0J-[160,180) </a> <a href="89413?version=3&table=Efficiency SR-SF-0J-[180,220) for C1C1WW grid">SR-SF-0J-[180,220) </a> <a href="89413?version=3&table=Efficiency SR-SF-0J-[220,260) for C1C1WW grid">SR-SF-0J-[220,260) </a> <a href="89413?version=3&table=Efficiency SR-SF-0J-[260,inf) for C1C1WW grid">SR-SF-0J-[260,inf) </a><br/> <a href="89413?version=3&table=Efficiency SR-SF-1J-[100,inf) for C1C1WW grid">SR-SF-1J-[100,inf) </a> <a href="89413?version=3&table=Efficiency SR-SF-1J-[160,inf) for C1C1WW grid">SR-SF-1J-[160,inf) </a> <a href="89413?version=3&table=Efficiency SR-SF-1J-[100,120) for C1C1WW grid">SR-SF-1J-[100,120) </a> <a href="89413?version=3&table=Efficiency SR-SF-1J-[120,160) for C1C1WW grid">SR-SF-1J-[120,160) </a> <a href="89413?version=3&table=Efficiency SR-SF-1J-[100,105) for C1C1WW grid">SR-SF-1J-[100,105) </a> <a href="89413?version=3&table=Efficiency SR-SF-1J-[105,110) for C1C1WW grid">SR-SF-1J-[105,110) </a> <a href="89413?version=3&table=Efficiency SR-SF-1J-[110,120) for C1C1WW grid">SR-SF-1J-[110,120) </a> <a href="89413?version=3&table=Efficiency SR-SF-1J-[120,140) for C1C1WW grid">SR-SF-1J-[120,140) </a> <a href="89413?version=3&table=Efficiency SR-SF-1J-[140,160) for C1C1WW grid">SR-SF-1J-[140,160) </a> <a href="89413?version=3&table=Efficiency SR-SF-1J-[160,180) for C1C1WW grid">SR-SF-1J-[160,180) </a> <a href="89413?version=3&table=Efficiency SR-SF-1J-[180,220) for C1C1WW grid">SR-SF-1J-[180,220) </a> <a href="89413?version=3&table=Efficiency SR-SF-1J-[220,260) for C1C1WW grid">SR-SF-1J-[220,260) </a> <a href="89413?version=3&table=Efficiency SR-SF-1J-[260,inf) for C1C1WW grid">SR-SF-1J-[260,inf) </a><br/> </ul> <b>Cutflow:</b> <ul> <li><a href="89413?version=3&table=Cutflow 1">Cutflow for direct chargino-pair production via W decay $m(\tilde{\chi}^{\pm}_1,\tilde{\chi}^{0}_1)=(300,50) GeV$</a> <li><a href="89413?version=3&table=Cutflow 2">Cutflow for direct chargino-pair production via slepton decay $m(\tilde{\chi}^{\pm}_1,\tilde{l},\tilde{\chi}^{0}_1)=(600,300,1) GeV$</a> <li><a href="89413?version=3&table=Cutflow 3">Cutflow for direct slepton-pair production $m(\tilde{l},\tilde{\chi}^{0}_1)=(400,200) GeV$</a> </ul> <b>SimpleAnalysis framework implementation</b> of the search SRs is available under "Resources" (purple button on the left)
Observed events and predicted background yields from the fit for the CRs. For backgrounds whose normalisation is extracted from the fit, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit for the CRs. For backgrounds whose normalisation is extracted from the fit, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit for the CRs. For backgrounds whose normalisation is extracted from the fit, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields in the VRs. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields in the VRs. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields in the VRs. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Distributions of $m_{T2}$ in VR-top-low for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $m_{T2}$ in VR-top-low for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $m_{T2}$ in VR-top-low for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $m_{T2}$ in VR-top-high for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $m_{T2}$ in VR-top-high for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $m_{T2}$ in VR-top-high for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ in VR-WW-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ in VR-WW-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ in VR-WW-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ in VR-WW-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ in VR-WW-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ in VR-WW-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ significance in VR-VZ for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ significance in VR-VZ for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ significance in VR-VZ for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ significance in VR-top-WW for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ significance in VR-top-WW for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Distributions of $E_T^{miss}$ significance in VR-top-WW for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.
Breakdown of the dominant systematic uncertainties on background estimates in the inclusive SRs requiring $m_{T2}$>100 GeV after performing the profile likelihood fit. Note that the individual uncertainties can be correlated, and do not necessarily add up quadratically to the total background uncertainty. The percentages show the size of the uncertainty relative to the total expected background. "Top theoretical uncertainties" refers to $t\bar t$ theoretical uncertainties and the uncertainty associated to $Wt-t\bar t$ interference added quadratically.
Breakdown of the dominant systematic uncertainties on background estimates in the inclusive SRs requiring $m_{T2}$>100 GeV after performing the profile likelihood fit. Note that the individual uncertainties can be correlated, and do not necessarily add up quadratically to the total background uncertainty. The percentages show the size of the uncertainty relative to the total expected background. "Top theoretical uncertainties" refers to $t\bar t$ theoretical uncertainties and the uncertainty associated to $Wt-t\bar t$ interference added quadratically.
Breakdown of the dominant systematic uncertainties on background estimates in the inclusive SRs requiring $m_{T2}$>100 GeV after performing the profile likelihood fit. Note that the individual uncertainties can be correlated, and do not necessarily add up quadratically to the total background uncertainty. The percentages show the size of the uncertainty relative to the total expected background. "Top theoretical uncertainties" refers to $t\bar t$ theoretical uncertainties and the uncertainty associated to $Wt-t\bar t$ interference added quadratically.
Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Distributions of $m_{T2}$ in SRSF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRSF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRSF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRSF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRSF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRSF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRDF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRDF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRDF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRDF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRDF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Distributions of $m_{T2}$ in SRDF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.
Observed exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.
Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.
Observed exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.
Observed exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.
Expected exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.
Upper limits on signal cross-section (fb) for chargino-pair production with W -boson-mediated decays.
Upper limits on signal cross-section (fb) for chargino-pair production with W -boson-mediated decays.
Upper limits on signal cross-section (fb) for chargino-pair production with W -boson-mediated decays.
Upper limits on signal cross-section (fb) for chargino-pair production with slepton/sneutrino-mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed.
Upper limits on signal cross-section (fb) for chargino-pair production with slepton/sneutrino-mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed.
Upper limits on signal cross-section (fb) for chargino-pair production with slepton/sneutrino-mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed.
Upper limits on signal cross-section (fb) for slepton-pair production.
Upper limits on signal cross-section (fb) for slepton-pair production.
Upper limits on signal cross-section (fb) for slepton-pair production.
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).
Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).
Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).
Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via $W^{\pm}W^{\mp}$. The masses of the two charginos are 300 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 50 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via $W^{\pm}W^{\mp}$. The masses of the two charginos are 300 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 50 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via $W^{\pm}W^{\mp}$. The masses of the two charginos are 300 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 50 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via slepton-neutrino/sneutrino-lepton pair. The masses of the two charginos are 600 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 1 GeV. The slepton/sneutrino masses are 300 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via slepton-neutrino/sneutrino-lepton pair. The masses of the two charginos are 600 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 1 GeV. The slepton/sneutrino masses are 300 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via slepton-neutrino/sneutrino-lepton pair. The masses of the two charginos are 600 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 1 GeV. The slepton/sneutrino masses are 300 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde\ell\tilde\ell$ are produced. Only $\tilde{e}$ and $\tilde{\mu}$ are considered in this model. The masses of the two sleptons are 400 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 200 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde\ell\tilde\ell$ are produced. Only $\tilde{e}$ and $\tilde{\mu}$ are considered in this model. The masses of the two sleptons are 400 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 200 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
Cutflow for supersymmetric model where $\tilde\ell\tilde\ell$ are produced. Only $\tilde{e}$ and $\tilde{\mu}$ are considered in this model. The masses of the two sleptons are 400 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 200 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.
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