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A search for the electroweak production of charginos, neutralinos and sleptons decaying into final states involving two or three electrons or muons is presented. The analysis is based on 36.1 fb$^{-1}$ of $\sqrt{s}=13$ TeV proton--proton collisions recorded by the ATLAS detector at the Large Hadron Collider. Several scenarios based on simplified models are considered. These include the associated production of the next-to-lightest neutralino and the lightest chargino, followed by their decays into final states with leptons and the lightest neutralino via either sleptons or Standard Model gauge bosons; direct production of chargino pairs, which in turn decay into leptons and the lightest neutralino via intermediate sleptons; and slepton pair production, where each slepton decays directly into the lightest neutralino and a lepton. No significant deviations from the Standard Model expectation are observed and stringent limits at 95% confidence level are placed on the masses of relevant supersymmetric particles in each of these scenarios. For a massless lightest neutralino, masses up to 580 GeV are excluded for the associated production of the next-to-lightest neutralino and the lightest chargino, assuming gauge-boson mediated decays, whereas for slepton-pair production masses up to 500 GeV are excluded assuming three generations of mass-degenerate sleptons.
The mll distribution for data and the estimated SM backgrounds in the 2l+0jets channel for SR2-SF-loose. Two signal points are added for comparison.
The mT2 distribution for data and the estimated SM backgrounds in the 2l+0jets channel for SR2-SF-loose. Two signal points are added for comparison.
The mT2 distributions for data and the estimated SM backgrounds in the 2l+0jets channel for the SR2-DF-100 selection. Two signal points are added for comparison.
Distributions of ETmiss for data and the expected SM backgrounds in the 2l+jets channel for SR2-int/high, without the final ETmiss requirement applied. Two signal points are added for comparison.
Distributions of ETmiss for data and the expected SM backgrounds in the 2l+jets channel for SR2-low, without the final ETmiss requirement applied. Two signal points are added for comparison.
Distributions of ETmiss for data and the estimated SM backgrounds in the 3l channel for SR3-slep-a. Two signal points are added for comparison.
Distributions of ETmiss for data and the estimated SM backgrounds in the 3l channel for SR3-slep-b. Two signal points are added for comparison.
Distributions of the third leading lepton pT in SR3-slep-c,d,e. Two signal points are added for comparison.
Distributions of ETmiss for data and the estimated SM backgrounds in the 3l channel for SR3-WZ-0Ja,b,c. Two signal points are added for comparison.
Distributions of ETmiss for data and the estimated SM backgrounds in the 3l channel for SR3-WZ-1Ja. Two signal points are added for comparison.
Distributions of ETmiss for data and the estimated SM backgrounds in the 3l channel for SR3-WZ-1Jb. Two signal points are added for comparison.
Distributions of ETmiss for data and the estimated SM backgrounds in the 3l channel for SR3-WZ-1Jc. Two signal points are added for comparison.
Expected 95% CL exclusion limit for chargino-pair production.
Observed 95% CL exclusion limit for chargino-pair production.
Expected 95% CL exclusion limit for direct slepton production.
Observed 95% CL exclusion limit for direct slepton production.
Expected 95% CL exclusion limit for chargino-neutralino production with slepton-mediated decays.
Observed 95% CL exclusion limit for chargino-neutralino production with slepton-mediated decays.
Expected 95% CL exclusion limit for chargino-neutralino production with W/Z-mediated decays.
Observed 95% CL exclusion limit for chargino-neutralino production with W/Z-mediated decays.
The mT2 distributions for data and the estimated SM backgrounds in the exclusive SF signal regions of the 2l+0jets channel in the regions 111 < mll < 150 GeV (corresponding to SR2-SF-a,b,c,d). Two signal points are added for comparison.
The mT2 distributions for data and the estimated SM backgrounds in the exclusive SF signal regions of the 2l+0jets channel in the regions 150 < mll < 200 GeV (corresponding to SR2-SF-e,f,g,h). Two signal points are added for comparison.
The mT2 distributions for data and the estimated SM backgrounds in the exclusive SF signal regions of the 2l+0jets channel in the regions 200 < mll < 300 GeV (corresponding to SR2-SF-i,j,k,l). Two signal points are added for comparison.
The mT2 distributions for data and the estimated SM backgrounds in the exclusive SF signal regions of the 2l+0jets channel in the regions mll > 300 GeV (corresponding to SR2-SF-m). Two signal points are added for comparison.
Signal acceptance for C1C1 production in SR2-SFloose for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$ .
Signal efficiency for C1C1 production in SR2-SFloose for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.
Signal acceptance for C1C1 production in SR2-SFtight for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.
Signal efficiency for C1C1 production in SR2-SFtight for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.
Signal acceptance for C1C1 production in SR2-DF100 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.
Signal efficiency for C1C1 production in SR2-DF100 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.
Signal acceptance for C1C1 production in SR2-DF150 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.
Signal efficiency for C1C1 production in SR2-DF150 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.
Signal acceptance for C1C1 production in SR2-DF200 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.
Signal efficiency for C1C1 production in SR2-DF200 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.
Signal acceptance for C1C1 production in SR2-DF300 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.
Signal efficiency for C1C1 production in SR2-DF300 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.
Signal acceptance for direct Slepton production in SR2-SF-Loose for the process P P -> $\tilde{\ell}^\pm \tilde{\ell}^\mp$ -> $\ell^\pm \ell^\mp \widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal efficiency for direct Slepton production in SR2-SF-Loose for the process P P -> $\tilde{\ell}^\pm \tilde{\ell}^\mp$ -> $\ell^\pm \ell^\mp \widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal acceptance for direct Slepton production in SR2-SF-Tight for the process P P -> $\tilde{\ell}^\pm \tilde{\ell}^\mp$ -> $\ell^\pm \ell^\mp \widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal efficiency for direct Slepton production in SR2-SF-Tight for the process P P -> $\tilde{\ell}^\pm \tilde{\ell}^\mp$ -> $\ell^\pm \ell^\mp \widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal acceptance for C1N2 production in SR2-low for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->2j) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal efficiency for C1N2 production in SR2-low for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->2j) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal acceptance for C1N2 production in SR2-int for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->2j) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal efficiency for C1N2 production in SR2-int for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->2j) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal acceptance for C1N2 production in SR2-high for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->2j) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal efficiency for C1N2 production in SR2-high for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->2j) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal acceptance for Slep production in SR3-slepa for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.
Signal efficiency for Slep production in SR3-slepa for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.
Signal acceptance for Slep production in SR3-slepb for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.
Signal efficiency for Slep production in SR3-slepb for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.
Signal acceptance for Slep production in SR3-slepc for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.
Signal efficiency for Slep production in SR3-slepc for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.
Signal acceptance for Slep production in SR3-slepd for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.
Signal efficiency for Slep production in SR3-slepd for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.
Signal acceptance for Slep production in SR3-slepe for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.
Signal efficiency for Slep production in SR3-slepe for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.
Signal acceptance for WZ production in SR3-WZ-0Ja for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal efficiency for WZ production in SR3-WZ-0Ja for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal acceptance for WZ production in SR3-WZ-0Jb for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal efficiency for WZ production in SR3-WZ-0Jb for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal acceptance for WZ production in SR3-WZ-0Jc for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal efficiency for WZ production in SR3-WZ-0Jc for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal acceptance for WZ production in SR3-WZ-1Ja for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal efficiency for WZ production in SR3-WZ-1Ja for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal acceptance for WZ production in SR3-WZ-1Jb for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal efficiency for WZ production in SR3-WZ-1Jb for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal acceptance for WZ production in SR3-WZ-1Jc for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal efficiency for WZ production in SR3-WZ-1Jc for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
Signal regions contributing to the observed exclusion limit for chargino-neutralino production with W/Z-mediated decays.
Expected 95% CL exclusion limit for chargino-neutralino production with W/Z-mediated decays in the 2l+jets channel.
Observed 95% CL exclusion limit for chargino-neutralino production with W/Z-mediated decays in the 2l+jets channel.
Expected 95% CL exclusion limit for chargino-neutralino production with W/Z-mediated decays in the 3l channel.
Observed 95% CL exclusion limit for chargino-neutralino production with W/Z-mediated decays in the 2l+jets channel.
Expected 95% CL exclusion limit for left-handed slepton production.
Observed 95% CL exclusion limit for left-handed slepton production.
Expected 95% CL exclusion limit for right-handed slepton production.
Observed 95% CL exclusion limit for right-handed slepton production.
95% upper limit on production cross-section for chargino-pair production.
95% upper limit on production cross-section for direct slepton production.
95% upper limit on production cross-section for chargino-neutralino production with slepton-mediated decays.
95% upper limit on production cross-section for chargino-neutralino production with W/Z-mediated decays
<b>Cutflow 1</b> Event counts for a signal point in SR2-SF-loose for the process P P -> $\tilde{\ell}^\pm \tilde{\ell}^\mp$ -> $\ell^\pm \ell^\mp \widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
<b>Cutflow 2</b> Event counts for a signal point in SR2-SF-loose and SR2-DF-100 for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.
<b>Cutflow 3</b> Event counts for two signal points in SR2-int for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.
<b>Cutflow 4</b> Event counts for two signal points in SR2-low for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_1^\mp$ -> 2x $\ell \nu \widetilde{\chi}_1^0$.
<b>Cutflow 5</b> Event counts for two signal points in SR3-WZ-0Ja/b/c and SR3-WZ-1Ja/b/c for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $W$(->l $\nu$) $Z$(->2l) $\widetilde{\chi}_1^0 \widetilde{\chi}_1^0$.
<b>Cutflow 6</b> Event counts for two signal points in SR3-slepa-e for the process P P -> $\widetilde{\chi}_1^\pm \widetilde{\chi}_2^0$ -> $\tilde{\ell}_L \tilde{\ell}_L l (\tilde{\nu}\nu), l \tilde{\nu} \tilde{\ell}_L (\tilde{\nu}\nu)$ -> $l \nu \widetilde{\chi}_1^0 l l (\nu \nu) \widetilde{\chi}_1^0$.
A search for supersymmetry involving the pair production of gluinos decaying via third-generation squarks into the lightest neutralino ($\displaystyle\tilde\chi^0_1$) is reported. It uses LHC proton--proton collision data at a centre-of-mass energy $\sqrt{s} = 13$ TeV with an integrated luminosity of 36.1 fb$^{-1}$ collected with the ATLAS detector in 2015 and 2016. The search is performed in events containing large missing transverse momentum and several energetic jets, at least three of which must be identified as originating from $b$-quarks. To increase the sensitivity, the sample is divided into subsamples based on the presence or absence of electrons or muons. No excess is found above the predicted background. For $\displaystyle\tilde\chi^0_1$ masses below approximately 300 GeV, gluino masses of less than 1.97 (1.92) TeV are excluded at 95% confidence level in simplified models involving the pair production of gluinos that decay via top (bottom) squarks. An interpretation of the limits in terms of the branching ratios of the gluinos into third-generation squarks is also provided. These results improve upon the exclusion limits obtained with the 3.2 fb$^{-1}$ of data collected in 2015.
Observed 95% CL exclusion contour for Gtt model.
Observed 95% CL exclusion contour for Gtt model.
Observed 95% CL exclusion contour for Gtt model.
Observed 95% CL exclusion contour for Gtt model.
Expected 95% CL exclusion contour for Gtt model.
Expected 95% CL exclusion contour for Gtt model.
Expected 95% CL exclusion contour for Gtt model.
Expected 95% CL exclusion contour for Gtt model.
Observed 95% CL exclusion contour for Gbb model.
Observed 95% CL exclusion contour for Gbb model.
Observed 95% CL exclusion contour for Gbb model.
Observed 95% CL exclusion contour for Gbb model.
Expected 95% CL exclusion contour for Gbb model.
Expected 95% CL exclusion contour for Gbb model.
Expected 95% CL exclusion contour for Gbb model.
Expected 95% CL exclusion contour for Gbb model.
Expected 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Distribution of ETMISS for SR-Gbb-VC.
Distribution of ETMISS for SR-Gbb-VC.
Distribution of ETMISS for SR-Gbb-VC.
Distribution of ETMISS for SR-Gbb-VC.
Distribution of ETMISS for SR-Gtt-1l-B.
Distribution of ETMISS for SR-Gtt-1l-B.
Distribution of ETMISS for SR-Gtt-1l-B.
Distribution of ETMISS for SR-Gtt-1l-B.
Distribution of ETMISS for SR-1L-II.
Distribution of ETMISS for SR-1L-II.
Distribution of ETMISS for SR-1L-II.
Distribution of ETMISS for SR-1L-II.
Distribution of ETMISS for SR-0L-HI.
Distribution of ETMISS for SR-0L-HI.
Distribution of ETMISS for SR-0L-HI.
Distribution of ETMISS for SR-0L-HI.
Distribution of ETMISS for SR-0L-HH.
Distribution of ETMISS for SR-0L-HH.
Distribution of ETMISS for SR-0L-HH.
Distribution of ETMISS for SR-0L-HH.
Acceptances for Gbb model in SR-Gbb-B.
Acceptances for Gbb model in SR-Gbb-B.
Acceptances for Gbb model in SR-Gbb-B.
Acceptances for Gbb model in SR-Gbb-B.
Acceptances for Gbb model in SR-Gbb-M.
Acceptances for Gbb model in SR-Gbb-M.
Acceptances for Gbb model in SR-Gbb-M.
Acceptances for Gbb model in SR-Gbb-M.
Acceptances for Gbb model in SR-Gbb-C.
Acceptances for Gbb model in SR-Gbb-C.
Acceptances for Gbb model in SR-Gbb-C.
Acceptances for Gbb model in SR-Gbb-C.
Acceptances for Gbb model in SR-Gbb-VC.
Acceptances for Gbb model in SR-Gbb-VC.
Acceptances for Gbb model in SR-Gbb-VC.
Acceptances for Gbb model in SR-Gbb-VC.
Acceptances for Gtt model in SR-Gtt-0l-B.
Acceptances for Gtt model in SR-Gtt-0l-B.
Acceptances for Gtt model in SR-Gtt-0l-B.
Acceptances for Gtt model in SR-Gtt-0l-B.
Acceptances for Gtt model in SR-Gtt-0l-M.
Acceptances for Gtt model in SR-Gtt-0l-M.
Acceptances for Gtt model in SR-Gtt-0l-M.
Acceptances for Gtt model in SR-Gtt-0l-M.
Acceptances for Gtt model in SR-Gtt-0l-C.
Acceptances for Gtt model in SR-Gtt-0l-C.
Acceptances for Gtt model in SR-Gtt-0l-C.
Acceptances for Gtt model in SR-Gtt-0l-C.
Acceptances for Gtt model in SR-Gtt-1l-B.
Acceptances for Gtt model in SR-Gtt-1l-B.
Acceptances for Gtt model in SR-Gtt-1l-B.
Acceptances for Gtt model in SR-Gtt-1l-B.
Acceptances for Gtt model in SR-Gtt-1l-M.
Acceptances for Gtt model in SR-Gtt-1l-M.
Acceptances for Gtt model in SR-Gtt-1l-M.
Acceptances for Gtt model in SR-Gtt-1l-M.
Acceptances for Gtt model in SR-Gtt-1l-C.
Acceptances for Gtt model in SR-Gtt-1l-C.
Acceptances for Gtt model in SR-Gtt-1l-C.
Acceptances for Gtt model in SR-Gtt-1l-C.
Experimental efficiencies for Gbb model in SR-Gbb-B.
Experimental efficiencies for Gbb model in SR-Gbb-B.
Experimental efficiencies for Gbb model in SR-Gbb-B.
Experimental efficiencies for Gbb model in SR-Gbb-B.
Experimental efficiencies for Gbb model in SR-Gbb-M.
Experimental efficiencies for Gbb model in SR-Gbb-M.
Experimental efficiencies for Gbb model in SR-Gbb-M.
Experimental efficiencies for Gbb model in SR-Gbb-M.
Experimental efficiencies for Gbb model in SR-Gbb-C.
Experimental efficiencies for Gbb model in SR-Gbb-C.
Experimental efficiencies for Gbb model in SR-Gbb-C.
Experimental efficiencies for Gbb model in SR-Gbb-C.
Experimental efficiencies for Gbb model in SR-Gbb-VC.
Experimental efficiencies for Gbb model in SR-Gbb-VC.
Experimental efficiencies for Gbb model in SR-Gbb-VC.
Experimental efficiencies for Gbb model in SR-Gbb-VC.
Experimental efficiencies for Gtt model in SR-Gtt-0l-B.
Experimental efficiencies for Gtt model in SR-Gtt-0l-B.
Experimental efficiencies for Gtt model in SR-Gtt-0l-B.
Experimental efficiencies for Gtt model in SR-Gtt-0l-B.
Experimental efficiencies for Gtt model in SR-Gtt-0l-M.
Experimental efficiencies for Gtt model in SR-Gtt-0l-M.
Experimental efficiencies for Gtt model in SR-Gtt-0l-M.
Experimental efficiencies for Gtt model in SR-Gtt-0l-M.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
Experimental efficiencies for Gtt model in SR-Gtt-1l-B.
Experimental efficiencies for Gtt model in SR-Gtt-1l-B.
Experimental efficiencies for Gtt model in SR-Gtt-1l-B.
Experimental efficiencies for Gtt model in SR-Gtt-1l-B.
Experimental efficiencies for Gtt model in SR-Gtt-1l-M.
Experimental efficiencies for Gtt model in SR-Gtt-1l-M.
Experimental efficiencies for Gtt model in SR-Gtt-1l-M.
Experimental efficiencies for Gtt model in SR-Gtt-1l-M.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-VC.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-VC.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-VC.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-VC.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-C.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Expected number of signal events after each step of the Gbb-0L-B selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-B selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-B selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-B selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-M selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-M selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-M selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-M selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-C selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-C selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-C selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-C selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-VC selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-VC selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-VC selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-VC selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gtt-1L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
A measurement of $b$-hadron pair production is presented, based on a data set corresponding to an integrated luminosity of 11.4 fb$^{-1}$ of proton--proton collisions recorded at $\sqrt{s}=8$ TeV with the ATLAS detector at the LHC. Events are selected in which a $b$-hadron is reconstructed in a decay channel containing $J/\psi \rightarrow \mu\mu$, and a second $b$-hadron is reconstructed in a decay channel containing a muon. Results are presented in a fiducial volume defined by kinematic requirements on three muons based on those used in the analysis. The fiducial cross section is measured to be $17.7 \pm 0.1 ($stat.$) \pm 2.0 ($syst.$)$ nb. A number of normalised differential cross sections are also measured, and compared to predictions from the Pythia8, Herwig++, MadGraph5\_aMC@NLO+Pythia8 and Sherpa event generators, providing new constraints on heavy flavour production.
Measurements of normalized differential cross-sections of top-quark pair production are presented as a function of the top-quark, $t\bar{t}$ system and event-level kinematic observables in proton-proton collisions at a centre-of-mass energy of $\sqrt{s}=8$ TeV}. The observables have been chosen to emphasize the $t\bar{t}$ production process and to be sensitive to effects of initial- and final-state radiation, to the different parton distribution functions, and to non-resonant processes and higher-order corrections. The dataset corresponds to an integrated luminosity of 20.3 fb$^{-1}$, recorded in 2012 with the ATLAS detector at the CERN Large Hadron Collider. Events are selected in the lepton+jets channel, requiring exactly one charged lepton and at least four jets with at least two of the jets tagged as originating from a $b$-quark. The measured spectra are corrected for detector effects and are compared to several Monte Carlo simulations. The results are in fair agreement with the predictions over a wide kinematic range. Nevertheless, most generators predict a harder top-quark transverse momentum distribution at high values than what is observed in the data. Predictions beyond NLO accuracy improve the agreement with data at high top-quark transverse momenta. Using the current settings and parton distribution functions, the rapidity distributions are not well modelled by any generator under consideration. However, the level of agreement is improved when more recent sets of parton distribution functions are used.
Absolute statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system invariant mass $m^{t\bar{t}}$.
Relative statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system invariant mass $m^{t\bar{t}}$.
Absolute systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system invariant mass $m^{t\bar{t}}$.
Relative systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system invariant mass $m^{t\bar{t}}$.
Absolute statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system transverse momentum $p_{T}^{t\bar{t}}$.
Relative statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system transverse momentum $p_{T}^{t\bar{t}}$.
Absolute systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system transverse momentum $p_{T}^{t\bar{t}}$.
Relative systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system transverse momentum $p_{T}^{t\bar{t}}$.
Absolute statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t$}$ system absolute rapidity $|y^{t\bar{t}}|$.
Relative statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t$}$ system absolute rapidity $|y^{t\bar{t}}|$.
Absolute systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t$}$ system absolute rapidity $|y^{t\bar{t}}|$.
Relative systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t$}$ system absolute rapidity $|y^{t\bar{t}}|$.
Absolute statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the hadronic top-quark transverse momentum $p_{T}^{t}$.
Relative statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the hadronic top-quark transverse momentum $p_{T}^{t}$.
Absolute systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the hadronic top-quark transverse momentum $p_{T}^{t}$.
Relative systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the hadronic top-quark transverse momentum $p_{T}^{t}$.
Absolute statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the hadronic top-quark absolute rapidity $|y^{t}|$.
Relative statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the hadronic top-quark absolute rapidity $|y^{t}|$.
Absolute systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the hadronic top-quark absolute rapidity $|y^{t}|$.
Relative systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the hadronic top-quark absolute rapidity $|y^{t}|$.
Absolute statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system out-of-plane momentum $|p_{out}^{t\bar{t}}|$.
Relative statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system out-of-plane momentum $|p_{out}^{t\bar{t}}|$.
Absolute systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system out-of-plane momentum $|p_{out}^{t\bar{t}}|$.
Relative systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system out-of-plane momentum $|p_{out}^{t\bar{t}}|$.
Absolute statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system azimuthal angle $\Delta \phi^{t\bar{t}}$.
Relative statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system azimuthal angle $\Delta \phi^{t\bar{t}}$.
Absolute systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system azimuthal angle $\Delta \phi^{t\bar{t}}$.
Relative systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the $t\bar{t}$ system azimuthal angle $\Delta \phi^{t\bar{t}}$.
Absolute statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the scalar sum of the hadronic and leptonic top-quark transverse momenta $H_{T}^{t\bar{t}}$.
Relative statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the scalar sum of the hadronic and leptonic top-quark transverse momenta $H_{T}^{t\bar{t}}$.
Absolute systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the scalar sum of the hadronic and leptonic top-quark transverse momenta $H_{T}^{t\bar{t}}$.
Relative systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the the scalar sum of the hadronic and leptonic top-quark transverse momenta $H_{T}^{t\bar{t}}$.
Absolute statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the longitudinal boost $y_{boost}^{t\bar{t}}$.
Relative statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the longitudinal boost $y_{boost}^{t\bar{t}}$.
Absolute systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the longitudinal boost $y_{boost}^{t\bar{t}}$.
Relative systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the longitudinal boost $y_{boost}^{t\bar{t}}$.
Absolute statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the production angle $\chi^{t\bar{t}}$.
Relative statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the production angle $\chi^{t\bar{t}}$.
Absolute systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the production angle $\chi^{t\bar{t}}$.
Relative systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the production angle $\chi^{t\bar{t}}$.
Absolute statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the ratio of the hadronic W and the hadronic top transverse momenta $R_{Wt}$.
Relative statistics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the ratio of the hadronic W and the hadronic top transverse momenta $R_{Wt}$.
Absolute systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the ratio of the hadronic W and the hadronic top transverse momenta $R_{Wt}$.
Relative systematics-only correlation matrix of the fiducial phase-space differential cross-section as a function of the ratio of the hadronic W and the hadronic top transverse momenta $R_{Wt}$.
Absolute statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system invariant mass $m^{t\bar{t}}$.
Relative statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system invariant mass $m^{t\bar{t}}$.
Absolute systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system invariant mass $m^{t\bar{t}}$.
Relative systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system invariant mass $m^{t\bar{t}}$.
Absolute statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system transverse momentum $p_{T}^{t\bar{t}}$.
Relative statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system transverse momentum $p_{T}^{t\bar{t}}$.
Absolute systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system transverse momentum $p_{T}^{t\bar{t}}$.
Relative systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system transverse momentum $p_{T}^{t\bar{t}}$.
Absolute statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t$}$ system absolute rapidity $|y^{t\bar{t}}|$.
Relative statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t$}$ system absolute rapidity $|y^{t\bar{t}}|$.
Absolute systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t$}$ system absolute rapidity $|y^{t\bar{t}}|$.
Relative systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t$}$ system absolute rapidity $|y^{t\bar{t}}|$.
Absolute statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the hadronic top-quark transverse momentum $p_{T}^{t}$.
Relative statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the hadronic top-quark transverse momentum $p_{T}^{t}$.
Absolute systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the hadronic top-quark transverse momentum $p_{T}^{t}$.
Relative systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the hadronic top-quark transverse momentum $p_{T}^{t}$.
Absolute statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the hadronic top-quark absolute rapidity $|y^{t}|$.
Relative statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the hadronic top-quark absolute rapidity $|y^{t}|$.
Absolute systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the hadronic top-quark absolute rapidity $|y^{t}|$.
Relative systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the hadronic top-quark absolute rapidity $|y^{t}|$.
Absolute statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system out-of-plane momentum $|p_{out}^{t\bar{t}}|$.
Relative statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system out-of-plane momentum $|p_{out}^{t\bar{t}}|$.
Absolute systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system out-of-plane momentum $|p_{out}^{t\bar{t}}|$.
Relative systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system out-of-plane momentum $|p_{out}^{t\bar{t}}|$.
Absolute statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system azimuthal angle $\Delta \phi^{t\bar{t}}$.
Relative statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system azimuthal angle $\Delta \phi^{t\bar{t}}$.
Absolute systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system azimuthal angle $\Delta \phi^{t\bar{t}}$.
Relative systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the $t\bar{t}$ system azimuthal angle $\Delta \phi^{t\bar{t}}$.
Absolute statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the scalar sum of the hadronic and leptonic top-quark transverse momenta $H_{T}^{t\bar{t}}$.
Relative statistics-only correlation matrix of the full phase-space differential cross-section as a function of the the scalar sum of the hadronic and leptonic top-quark transverse momenta $H_{T}^{t\bar{t}}$.
Absolute systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the scalar sum of the hadronic and leptonic top-quark transverse momenta $H_{T}^{t\bar{t}}$.
Relative systematics-only correlation matrix of the full phase-space differential cross-section as a function of the the scalar sum of the hadronic and leptonic top-quark transverse momenta $H_{T}^{t\bar{t}}$.
Absolute statistics-only correlation matrix of the full phase-space differential cross-section as a function of the longitudinal boost $y_{boost}^{t\bar{t}}$.
Relative statistics-only correlation matrix of the full phase-space differential cross-section as a function of the longitudinal boost $y_{boost}^{t\bar{t}}$.
Absolute systematics-only correlation matrix of the full phase-space differential cross-section as a function of the longitudinal boost $y_{boost}^{t\bar{t}}$.
Relative systematics-only correlation matrix of the full phase-space differential cross-section as a function of the longitudinal boost $y_{boost}^{t\bar{t}}$.
Absolute statistics-only correlation matrix of the full phase-space differential cross-section as a function of the production angle $\chi^{t\bar{t}}$.
Relative statistics-only correlation matrix of the full phase-space differential cross-section as a function of the production angle $\chi^{t\bar{t}}$.
Absolute systematics-only correlation matrix of the full phase-space differential cross-section as a function of the production angle $\chi^{t\bar{t}}$.
Relative systematics-only correlation matrix of the full phase-space differential cross-section as a function of the production angle $\chi^{t\bar{t}}$.
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and |$p_{out}^{t\bar{t}}$| (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $\chi^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $\Delta\phi^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15]
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $H_T^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $y_{boost}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $|y^{t,had}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5]
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $p_{T}^{t,had}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $\chi^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $\Delta\phi^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15]
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $H_T^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $y_{boost}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $|y^{t,had}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5]
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t,had}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $\Delta\phi^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15]
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $H_T^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $y_{boost}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $|y^{t,had}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5]
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t,had}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $H_T^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $H_T^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV Columns: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV
Statistical correlation matrix between $H_T^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $y_{boost}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV Columns: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV
Statistical correlation matrix between $H_T^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $|y^{t,had}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV Columns: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5]
Statistical correlation matrix between $H_T^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t,had}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV Columns: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV
Statistical correlation matrix between $H_T^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between $H_T^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $H_T^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $y_{boost}$ (rows) in the 4-jet inclusive configuration and $y_{boost}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV Columns: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV
Statistical correlation matrix between $y_{boost}$ (rows) in the 4-jet inclusive configuration and $|y^{t,had}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV Columns: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5]
Statistical correlation matrix between $y_{boost}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t,had}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV Columns: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV
Statistical correlation matrix between $y_{boost}$ (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between $y_{boost}$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $y_{boost}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $|y^{t,had}|$ (rows) in the 4-jet inclusive configuration and $|y^{t,had}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5] Columns: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5]
Statistical correlation matrix between $|y^{t,had}|$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t,had}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5] Columns: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV
Statistical correlation matrix between $|y^{t,had}|$ (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5] Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between $|y^{t,had}|$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5] Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $|y^{t,had}|$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5] Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $p_{T}^{t,had}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t,had}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV Columns: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV
Statistical correlation matrix between $p_{T}^{t,had}$ (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between $p_{T}^{t,had}$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $p_{T}^{t,had}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $|y^{t\bar{t}}|$ (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5] Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between $|y^{t\bar{t}}|$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5] Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $|y^{t\bar{t}}|$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5] Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $m^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $m^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $p_{T}^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from absolute spectra through the Bootstrap Method. The binning is the following: Rows: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and |$p_{out}^{t\bar{t}}$| (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $\chi^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $\Delta\phi^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15]
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $H_T^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $y_{boost}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $|y^{t,had}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5]
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $p_{T}^{t,had}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between |$p_{out}^{t\bar{t}}$| (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-40, 40-80, 80-120, 120-170, 170-230, 230-600] GeV Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $\chi^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $\Delta\phi^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15]
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $H_T^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $y_{boost}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $|y^{t,had}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5]
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t,had}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $\chi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [1-1.4, 1.4-1.9, 1.9-2.5, 2.5-3.2, 3.2-4.2, 4.2-5.5, 5.5-7.2, 7.2-9.3, 9.3-12, 12-20] GeV Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $\Delta\phi^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15]
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $H_T^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $y_{boost}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $|y^{t,had}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5]
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t,had}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $\Delta\phi^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0.0-2.0, 2.0-2.75, 2.75-3.0, 3.0-3.15] Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $H_T^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $H_T^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV Columns: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV
Statistical correlation matrix between $H_T^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $y_{boost}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV Columns: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV
Statistical correlation matrix between $H_T^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $|y^{t,had}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV Columns: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5]
Statistical correlation matrix between $H_T^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t,had}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV Columns: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV
Statistical correlation matrix between $H_T^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between $H_T^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $H_T^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-90, 90-140, 140-195, 195-255, 255-320, 320-385, 385-455, 455-530, 530-610, 610-695, 695-780, 780-865, 865-950, 950-1041, 1041-1500] GeV Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $y_{boost}$ (rows) in the 4-jet inclusive configuration and $y_{boost}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV Columns: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV
Statistical correlation matrix between $y_{boost}$ (rows) in the 4-jet inclusive configuration and $|y^{t,had}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV Columns: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5]
Statistical correlation matrix between $y_{boost}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t,had}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV Columns: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV
Statistical correlation matrix between $y_{boost}$ (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between $y_{boost}$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $y_{boost}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1, 1-1.1, 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-2] GeV Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $|y^{t,had}|$ (rows) in the 4-jet inclusive configuration and $|y^{t,had}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5] Columns: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5]
Statistical correlation matrix between $|y^{t,had}|$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t,had}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5] Columns: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV
Statistical correlation matrix between $|y^{t,had}|$ (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5] Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between $|y^{t,had}|$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5] Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $|y^{t,had}|$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.4, 0.4-0.8, 0.8-1.2, 1.2-1.6, 1.6-2.5] Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $p_{T}^{t,had}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t,had}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV Columns: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV
Statistical correlation matrix between $p_{T}^{t,had}$ (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between $p_{T}^{t,had}$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $p_{T}^{t,had}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-60, 60-100, 100-150, 150-200, 200-260, 260-320, 320-400, 400-500] GeV Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $|y^{t\bar{t}}|$ (rows) in the 4-jet inclusive configuration and $|y^{t\bar{t}}|$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5] Columns: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5]
Statistical correlation matrix between $|y^{t\bar{t}}|$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5] Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $|y^{t\bar{t}}|$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-0.3, 0.3-0.6, 0.6-0.9, 0.9-1.3, 1.3-2.5] Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $m^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $m^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV Columns: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV
Statistical correlation matrix between $m^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [345-400, 400-470, 470-550, 550-650, 650-800, 800-1100, 1100-1600] GeV Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
Statistical correlation matrix between $p_{T}^{t\bar{t}}$ (rows) in the 4-jet inclusive configuration and $p_{T}^{t\bar{t}}$ (columns) in the 4-jet inclusive configuration, obtained at parton level from relative spectra through the Bootstrap Method. The binning is the following: Rows: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV Columns: [0-20, 20-45, 45-75, 75-120, 120-190, 190-300] GeV
A search is conducted for new resonances decaying into a $W$ or $Z$ boson and a 125 GeV Higgs boson in the $\nu\bar{\nu}b\bar{b}$, $\ell^{\pm}{\nu}b\bar{b}$, and $\ell^+\ell^-b\bar{b}$ final states, where $\ell ^{\pm}= e^{\pm}$ or $\mu^{\pm}$, in $pp$ collisions at $\sqrt s = 13$ TeV. The data used correspond to a total integrated luminosity of 36.1 fb$^{-1}$ collected with the ATLAS detector at the Large Hadron Collider during the 2015 and 2016 data-taking periods. The search is conducted by examining the reconstructed invariant or transverse mass distributions of $Wh$ and $Zh$ candidates for evidence of a localised excess in the mass range of 220 GeV up to 5 TeV. No significant excess is observed and the results are interpreted in terms of constraints on the production cross-section times branching fraction of heavy $W^\prime$ and $Z^\prime$ resonances in heavy-vector-triplet models and the CP-odd scalar boson $A$ in two-Higgs-doublet models. Upper limits are placed at the 95 % confidence level and range between $9.0\times 10^{-4}$ pb and $8.1\times 10^{-1}$ pb depending on the model and mass of the resonance.
Upper limits on Zprime to Z h production cross section x branching fraction in pb
Upper limits on Zprime to Z h production cross section x branching fraction in pb
Upper limits on Wprime to W h production cross section x branching fraction in pb
Upper limits on Wprime to W h production cross section x branching fraction in pb
Upper limits for the scaling factor of the production cross section for V’ times its branching fraction to Wh/Zh in Model A.
Upper limits for the scaling factor of the production cross section for V’ times its branching fraction to Wh/Zh in Model A.
Upper limits on A to Z h production cross section x branching fraction in pb (gluon fusion production)
Upper limits on A to Z h production cross section x branching fraction in pb (gluon fusion production)
Upper limits on A to Z h production cross section x branching fraction in pb ( production with associated b-quarks)
Upper limits on A to Z h production cross section x branching fraction in pb ( production with associated b-quarks)
Acceptance * Reconstruction efficiency for pp-> Zprime
Acceptance * Reconstruction efficiency for pp-> Zprime
Acceptance * Reconstruction efficiency for pp-> Zprime
Acceptance * Reconstruction efficiency for pp-> Zprime
Acceptance * Reconstruction efficiency for pp-> Wprime
Acceptance * Reconstruction efficiency for pp-> Wprime
Acceptance * Reconstruction efficiency for pp-> A (gluon fusion)
Acceptance * Reconstruction efficiency for pp-> A (gluon fusion)
Acceptance * Reconstruction efficiency for pp-> A (gluon fusion)
Acceptance * Reconstruction efficiency for pp-> A (gluon fusion)
Acceptance * Reconstruction efficiency for pp-> A (b-quark associated)
Acceptance * Reconstruction efficiency for pp-> A (b-quark associated)
Acceptance * Reconstruction efficiency for pp-> A (b-quark associated)
Acceptance * Reconstruction efficiency for pp-> A (b-quark associated)
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 10%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 10%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 20%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 20%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 30%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 30%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 40%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 40%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 50%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 50%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 60%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 60%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 70%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 70%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 80%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 80%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 90%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 0% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 90%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 1% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 1% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 2% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 2% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 3% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 3% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 4% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 4% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 5% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 5% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 6% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 6% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 7% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 7% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 8% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 8% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 9% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 9% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 10% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 10% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 11% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Upper limits at the 95% CL on the product of the production cross-section for pp->A and the branching fractions for A->Zh and h->bb evaluated by combining the 0-lepton and 2-lepton channels. The signal is smeared by a Breit-Wigner function with A boson width of 11% , assuming a combination of the gluon--gluon fusion and b-quark associated production modes with a bbA fraction of 0%.
Event distributions of mT,Vh for the 0-lepton channel in the resolved 1-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.
Event distributions of mT,Vh for the 0-lepton channel in the resolved 2-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.
Event distributions of m,Vh for the 1-lepton channel in the resolved 1-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.
Event distributions of m,Vh for the 1-lepton channel in the resolved 2-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.
Event distributions of mT,Vh for the 2-lepton channel in the resolved 1-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.
Event distributions of m,Vh for the 2-lepton channel in the resolved 2-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.
Event distributions of mT,Vh for the 0-lepton channel in the boosted 1-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.
Event distributions of mT,Vh for the 0-lepton channel in the boosted 2-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.
Event distributions of m,Vh for the 1-lepton channel in the boosted 1-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.
Event distributions of m,Vh for the 1-lepton channel in the boosted 2-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.
Event distributions of m,Vh for the 2-lepton channel in the boosted 1-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.
Event distributions of m,Vh for the 2-lepton channel in the boosted 2-btag category. The background prediction is shown after a background-only maximum-likelihood fit to the data.
A search for strongly produced supersymmetric particles using signatures involving multiple energetic jets and either two isolated same-sign leptons ($e$ or $\mu$), or at least three isolated leptons, is presented. The analysis relies on the identification of $b$-jets and high missing transverse momentum to achieve good sensitivity. A data sample of proton--proton collisions at $\sqrt{s}= 13$ TeV recorded with the ATLAS detector at the Large Hadron Collider in 2015 and 2016, corresponding to a total integrated luminosity of 36.1 fb$^{-1}$, is used for the search. No significant excess over the Standard Model prediction is observed. The results are interpreted in several simplified supersymmetric models featuring $R$-parity conservation or $R$-parity violation, extending the exclusion limits from previous searches. In models considering gluino pair production, gluino masses are excluded up to 1.87 TeV at 95% confidence level. When bottom squarks are pair-produced and decay to a chargino and a top quark, models with bottom squark masses below 700 GeV and light neutralinos are excluded at 95% confidence level. In addition, model-independent limits are set on a possible contribution of new phenomena to the signal region yields.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L2bS, in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via an offshell top squark, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1500 GeV and $m(\tilde \chi_1^0)$ = 800 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L2bH, in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via an offshell top squark, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1700 GeV and $m(\tilde \chi_1^0)$ = 200 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2Lsoft1b, in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via offshell top squark and top quark, $\tilde g\to t\bar{b}W^{-}\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1200 GeV and $m(\tilde \chi_1^0)$ = 940 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2Lsoft2b, in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via offshell top squark and top quark, $\tilde g\to t\bar{b}W^{-}\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1200 GeV and $m(\tilde \chi_1^0)$ = 900 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L0bS, in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1200 GeV, $m(\tilde \chi_1^\pm)$ = 1050 GeV, $m(\tilde \chi_2^0)$ = 975 GeV and $m(\tilde \chi_1^0)$ = 900 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L0bH, in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1600 GeV, $m(\tilde \chi_1^\pm)$ = 850 GeV, $m(\tilde \chi_2^0)$ = 475 GeV and $m(\tilde \chi_1^0)$ = 100 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc3L0bS, in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade involving sleptons, $\tilde g\to q\bar{q}\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde\ell\ell/\tilde\nu\nu$ and $\tilde\ell/\tilde\nu\to \ell/\nu\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1400 GeV, $m(\tilde \chi_2^0)$ = 1250 GeV, $m(\tilde\ell)=m(\tilde\nu)$ = 1175 GeV and $m(\tilde \chi_1^0)$ = 1100 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc3L0bH, in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade involving sleptons, $\tilde g\to q\bar{q}\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde\ell\ell/\tilde\nu\nu$ and $\tilde\ell/\tilde\nu\to \ell/\nu\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1800 GeV, $m(\tilde \chi_2^0)$ = 950 GeV, $m(\tilde\ell)=m(\tilde\nu)$ = 475 GeV and $m(\tilde \chi_1^0)$ = 100 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L1bH, in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$, $\lambda^{''}_{311}$ or $\lambda^{''}_{322}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar s\bar d /\bar d \bar d/\bar s \bar s$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1400 GeV, $m(\tilde{t}^{}_{1})$ = 800 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L0b, in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, which in turn decays via non-zero baryon- and lepton-number-violating RPV couplings $\lambda^{'}_{ijk}$, $\tilde g\to q\bar{q}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to q\bar{q}^{'}\ell$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1400 GeV, $m(\tilde{\chi}_1^0)$ = 500 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L2bH, in a SUSY scenario where gluinos are produced in pairs and decay directly into a pair of top-antitop quarks and the lightest neutralino, which in turn decays into light quarks via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{ijk}$, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to qqq$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1800 GeV, $m(\tilde{\chi}_1^0)$ = 200 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L2bS, in a SUSY scenario where pairs of down-down squark-rights are produced and decay into a pair of top and bottom quarks via a non-zero baryon-number-violating RPV coupling $\lambda^{''}_{331}$, $\tilde{d}^{}_\mathrm{R}\to \bar t\bar b$. The masses of the superpartners involved in the process are set to $m(\tilde{d}^{}_\mathrm{R})$ = 600 GeV, $m(\tilde g)$ = 2000 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L1bS, in a SUSY scenario where pairs of down-down squarks are produced and decay into a pair of top and a light quarks via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$ or $\lambda^{''}_{322}$, $\tilde{d}^{}_\mathrm{R}\to \bar t\bar s/\bar t\bar d$. The masses of the superpartners involved in the process are set to $m(\tilde{d}^{}_\mathrm{R})$ = 600 GeV, $m(\tilde g)$ = 2000 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L1bM, in a SUSY scenario where pairs of down-down squarks are produced and decay into a pair of top and a light quarks via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$ or $\lambda^{''}_{322}$, $\tilde{d}^{}_\mathrm{R}\to \bar t\bar s/\bar t\bar d$. The masses of the superpartners involved in the process are set to $m(\tilde{d}^{}_\mathrm{R})$ = 1000 GeV, $m(\tilde g)$ = 2000 GeV. Only statistical uncertainties are shown.
The differential cross-section for the production of a $W$ boson in association with a top quark is measured for several particle-level observables. The measurements are performed using 36.1 fb$^{-1}$ of $pp$ collision data collected with the ATLAS detector at the LHC in 2015 and 2016. Differential cross-sections are measured in a fiducial phase space defined by the presence of two charged leptons and exactly one jet matched to a $b$-hadron, and are normalised with the fiducial cross-section. Results are found to be in good agreement with predictions from several Monte Carlo event generators.
Fiducial region definition.
This paper presents a search for direct electroweak gaugino or gluino pair production with a chargino nearly mass-degenerate with a stable neutralino. It is based on an integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ of $pp$ collisions at $\sqrt{s} = 13$ TeV collected by the ATLAS experiment at the LHC. The final state of interest is a disappearing track accompanied by at least one jet with high transverse momentum from initial-state radiation or by four jets from the gluino decay chain. The use of short track segments reconstructed from the innermost tracking layers significantly improves the sensitivity to short chargino lifetimes. The results are found to be consistent with Standard Model predictions. Exclusion limits are set at 95% confidence level on the mass of charginos and gluinos for different chargino lifetimes. For a pure wino with a lifetime of about 0.2 ns, chargino masses up to 460 GeV are excluded. For the strong production channel, gluino masses up to 1.65 TeV are excluded assuming a chargino mass of 460 GeV and lifetime of 0.2 ns.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Model dependent upper limits on cross-section (fb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Model dependent upper limits on cross-section (pb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Model dependent upper limits on cross-section (pb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Model dependent upper limits on cross-section (pb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.
Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.
Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.
Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.
Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.
Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.
Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.
Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.
The generator-level acceptance after reconstruction, for selecting and reconstructing charginos as a function of the chargino $eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the electroweak channel as a function of the chargino $eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the electroweak channel as a function of the chargino $eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the electroweak channel as a function of the chargino $eta$ and chargino decay radius (at generator level).
The generator-level acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the electroweak channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the electroweak channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the electroweak channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The generator-level acceptance after reconstruction, for selecting and reconstructing charginos as a function of the chargino $\eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level).
The generator-level acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.
Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.
Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.
Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.
Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anticorrelation between different backgrounds.
Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anti-correlation between different backgrounds.
Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anti-correlation between different backgrounds.
Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anti-correlation between different backgrounds.
Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracket background events is small.
Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracklet background events is small.
Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracklet background events is small.
Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracklet background events is small.
Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.
Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.
Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.
Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.
Detailed measurements of $t$-channel single top-quark production are presented. They use 20.2 fb$^{-1}$ of data collected by the ATLAS experiment in proton-proton collisions at a centre-of-mass energy of 8 TeV at the LHC. Total, fiducial and differential cross-sections are measured for both top-quark and top-antiquark production. The fiducial cross-section is measured with a precision of 5.8 % (top quark) and 7.8 % (top antiquark), respectively. The total cross-sections are measured to be $\sigma_{\mathrm{tot}}(tq) = 56.7^{+4.3}_{-3.8}\;$pb for top-quark production and $\sigma_{\mathrm{tot}}(\bar{t}q) = 32.9^{+3.0}_{-2.7}\;$pb for top-antiquark production, in agreement with the Standard Model prediction. In addition, the ratio of top-quark to top-antiquark production cross-sections is determined to be $R_t=1.72 \pm 0.09$, with an improved relative precision of 4.9 % since several systematic uncertainties cancel in the ratio. The differential cross-sections as a function of the transverse momentum and rapidity of both the top quark and the top antiquark are measured at both the parton and particle levels. The transverse momentum and rapidity differential cross-sections of the accompanying jet from the $t$-channel scattering are measured at particle level. All measurements are compared to various Monte Carlo predictions as well as to fixed-order QCD calculations where available.
Predicted and observed event yields for the signal region (SR). The multijet background prediction is obtained from a binned maximum-likelihood fit to the $E_{\mathrm{T}}^{\mathrm{miss}}$ distribution. All the other predictions are derived using theoretical cross-sections, given for the backgrounds in Sect. 6 and for the signal in Sect. 1. The quoted uncertainties are in the predicted cross-sections or in the number of multijet events, in case of the multijet process.
Predicted and observed event yields for the signal region (SR). The multijet background prediction is obtained from a binned maximum-likelihood fit to the $E_{\mathrm{T}}^{\mathrm{miss}}$ distribution. All the other predictions are derived using theoretical cross-sections, given for the backgrounds in Sect. 6 and for the signal in Sect. 1. The quoted uncertainties are in the predicted cross-sections or in the number of multijet events, in case of the multijet process.
Definition of the fiducial phase space.
Definition of the fiducial phase space.
The seven input variables to the NN ordered by their discriminating power. The jet that is not $b$-tagged is referred to as $\textit{untagged}~$jet.
The seven input variables to the NN ordered by their discriminating power. The jet that is not $b$-tagged is referred to as $\textit{untagged}~$jet.
Event yields for the different processes estimated with the fit to the $O_\mathrm{NN}$ distribution compared to the numbers of observed events. Only the statistical uncertainties are quoted. The $Z,VV+\mathrm{jets}$ contributions and the multijet background are fixed in the fit; therefore no uncertainty is quoted for these processes.
Event yields for the different processes estimated with the fit to the $O_\mathrm{NN}$ distribution compared to the numbers of observed events. Only the statistical uncertainties are quoted. The $Z,VV+\mathrm{jets}$ contributions and the multijet background are fixed in the fit; therefore no uncertainty is quoted for these processes.
Detailed list of the contribution from each source of uncertainty to the total uncertainty in the measured values of $\sigma_{\mathrm{fid}}(tq)$ and $\sigma_{\mathrm{fid}}(\bar tq)$. The estimation of the systematic uncertainties has a statistical uncertainty of $0.3\%$. Uncertainties contributing less than $0.5\%$ are marked with ‘<0.5’.
Detailed list of the contribution from each source of uncertainty to the total uncertainty in the measured values of $\sigma_{\mathrm{fid}}(tq)$ and $\sigma_{\mathrm{fid}}(\bar tq)$. The estimation of the systematic uncertainties has a statistical uncertainty of $0.3\%$. Uncertainties contributing less than $0.5\%$ are marked with ‘<0.5’.
Significant contributions to the total relative uncertainty in the measured value of $R_{t}$. The estimation of the systematic uncertainties has a statistical uncertainty of $0.3~\%$. Uncertainties contributing less than $0.5~\%$ are not shown.
Significant contributions to the total relative uncertainty in the measured value of $R_{t}$. The estimation of the systematic uncertainties has a statistical uncertainty of $0.3~\%$. Uncertainties contributing less than $0.5~\%$ are not shown.
Slopes $a$ of the mass dependence of the measured cross$-$sections.
Slopes $a$ of the mass dependence of the measured cross$-$sections.
Predicted (post-fit) and observed event yields for the signal region (SR), after the requirement on the neural network discriminant, $O_{\mathrm{NN}}~>~0.8$. The multijet background prediction is obtained from the fit to the $E_{\mathrm{T}}^{\mathrm{miss}}$ distribution described in Section 6, while all the other predictions and uncertainties are derived from the total cross$-$section measurement. In some cases there is no uncertainty quoted. In these cases the uncertainty is < 0.5.
Predicted (post-fit) and observed event yields for the signal region (SR), after the requirement on the neural network discriminant, $O_{\mathrm{NN}}~>~0.8$. The multijet background prediction is obtained from the fit to the $E_{\mathrm{T}}^{\mathrm{miss}}$ distribution described in Section 6, while all the other predictions and uncertainties are derived from the total cross$-$section measurement. In some cases there is no uncertainty quoted. In these cases the uncertainty is < 0.5.
Predicted (post-fit) and observed event yields for the signal region (SR), after the requirement on the second neural network discriminant, $O_{\mathrm{NN2}}~>~0.8$. The multijet background prediction is obtained from the fit to the $E_{\mathrm{T}}^{\mathrm{miss}}$ distribution described in Section 6, while all the other predictions and uncertainties are derived from the total cross$-$section measurement. In some cases there is no uncertainty quoted. In these cases the uncertainty is < 0.5.
Predicted (post-fit) and observed event yields for the signal region (SR), after the requirement on the second neural network discriminant, $O_{\mathrm{NN2}}~>~0.8$. The multijet background prediction is obtained from the fit to the $E_{\mathrm{T}}^{\mathrm{miss}}$ distribution described in Section 6, while all the other predictions and uncertainties are derived from the total cross$-$section measurement. In some cases there is no uncertainty quoted. In these cases the uncertainty is < 0.5.
Migration matrix for $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at the particle level. The pseudo top quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Migration matrix for $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at the particle level. The pseudo top quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Migration matrix for $p_{\mathrm{T}}(t)$ at the parton level. The parton-level quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Migration matrix for $p_{\mathrm{T}}(t)$ at the parton level. The parton-level quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Migration matrix for $|y(\hat{t\hspace{-0.2mm}})|$ at the particle level. The pseudo top quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Migration matrix for $|y(\hat{t\hspace{-0.2mm}})|$ at the particle level. The pseudo top quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Migration matrix for $|y(t)|$ at the parton level. The parton-level quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Migration matrix for $|y(t)|$ at the parton level. The parton-level quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Uncertainties in the normalisations of the different backgrounds for all processes, as derived from the total cross-section measurement.
Uncertainties in the normalisations of the different backgrounds for all processes, as derived from the total cross-section measurement.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $p_{\mathrm{T}}(t)$ at parton level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $p_{\mathrm{T}}(t)$ at parton level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $p_{\mathrm{T}}(t)$ at parton level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $p_{\mathrm{T}}(t)$ at parton level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $|y(t)|$ at parton level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $|y(t)|$ at parton level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $|y(t)|$ at parton level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $|y(t)|$ at parton level.
Statistical correlation matrix for the absolute differential cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ for $tq$ events(at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ for $ \bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ for $tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ for $\bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ for $tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ for $ \bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ for $tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ for $\bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ for $tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ for $\bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ for $tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ for $\bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ for $tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ for $\bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ for $tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ for $\bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $p_{\mathrm{T}}(t)$ for $tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $p_{\mathrm{T}}(t)$ for $ \bar tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $p_{\mathrm{T}}(t)$ for $tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $p_{\mathrm{T}}(t)$ for $ \bar tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $|y(t)|$ for $tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $|y(t)|$ for $\bar tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $|y(t)|$ for $tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $|y(t)|$ for $\bar tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Fiducial acceptance $A_{\mathrm{fid}}$ for different $t$-channel single top-quark MC samples. $^{\mathrm{(a)}}$ Calculation taken from AcerMC $+$ $\mathrm{P{\scriptsize YTHIA}6}$. $^{\mathrm{(b)}}$ Calculation taken from $\mathrm{P{\scriptsize OWHEG}}$-$\mathrm{B{\scriptsize OX}}$ $+$ $\mathrm{P{\scriptsize YTHIA}6}$.
Fiducial acceptance $A_{\mathrm{fid}}$ for different $t$-channel single top-antiquark MC samples. $^{\mathrm{(a)}}$ Calculation taken from AcerMC $+$ $\mathrm{P{\scriptsize YTHIA}6}$. $^{\mathrm{(b)}}$ Calculation taken from $\mathrm{P{\scriptsize OWHEG}}$-$\mathrm{B{\scriptsize OX}}$ $+$ $\mathrm{P{\scriptsize YTHIA}6}$.
Uncertainties for the absolute differential $tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level per bin ([0,35,50,75,100,150,200,300] GeV) in percent of $\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level per bin ([0,35,50,75,100,150,200,300] GeV) in percent of $\left( \dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $\bar tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level per bin ([0,35,50,75,100,150,300] GeV) in percent of $\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})}$.
Uncertainties for the normalised differential $\bar tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level per bin ([0,35,50,75,100,150,300] GeV) in percent of $\left( \dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})}$.
Uncertainties for the absolute differential $tq$ cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level per bin ([0,0.15,0.3,0.45,0.7,1.0,1.3,2.2]) in percent of $\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}|y(\hat{t\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $tq$ cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level per bin ([0,0.15,0.3,0.45,0.7,1.0,1.3,2.2]) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}|y(\hat{t\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $\bar tq$ cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level per bin ([0,0.15,0.3,0.45,0.7,1.0,1.3,2.2]) in percent of $\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}|y(\hat{t\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $\bar tq$ cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level per bin ([0,0.15,0.3,0.45,0.7,1.0,1.3,2.2]) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}|y(\hat{t\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level per bin ([30,45,60,75,100,150,300] GeV) in percent of $\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level per bin ([30,45,60,75,100,150,300] GeV) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $\bar tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level per bin ([30,45,60,75,100,150,300] GeV) in percent of $\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $\bar tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level per bin ([30,45,60,75,100,150,300] GeV) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $tq$ cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level per bin ([0.0, 1.2, 1.7, 2.2, 2.7, 3.3, 4.5]) in percent of $\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}|y(\hat{j\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $tq$ cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level per bin ([0.0, 1.2, 1.7, 2.2, 2.7, 3.3, 4.5]) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}|y(\hat{j\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $\bar tq$ cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level per bin ([0.0, 1.2, 1.7, 2.2, 2.7, 3.3, 4.5]) in percent of $\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}|y(\hat{j\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $\bar tq$ cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level per bin ([0.0, 1.2, 1.7, 2.2, 2.7, 3.3, 4.5]) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}|y(\hat{j\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $tq$ cross-section as a function of $p_{\mathrm{T}}(t)$ at parton level per bin ([0,50,100,150,200,300] GeV) in percent of $\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}p_{\mathrm{T}}(t)}$.
Uncertainties for the normalised differential $tq$ cross-section as a function of $p_{\mathrm{T}}(t)$ at parton level per bin ([0,50,100,150,200,300] GeV) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}p_{\mathrm{T}}(t)}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $\bar tq $ cross-section as a function of $p_{\mathrm{T}}(t)$ at parton level per bin ([0,50,100,150,300] GeV) in percent of $\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}p_{\mathrm{T}}(t)}$.
Uncertainties for the normalised differential $\bar tq $ cross-section as a function of $p_{\mathrm{T}}(t)$ at parton level per bin ([0,50,100,150,300] GeV) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}p_{\mathrm{T}}(t)}$.
Uncertainties for the absolute differential $ tq $ cross-section as a function of $|y(t)|$ at parton level per bin ([0,0.3,0.7,1.3,2.2]) in percent of $\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}|y(t)|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $ tq $ cross-section as a function of $|y(t)|$ at parton level per bin ([0,0.3,0.7,1.3,2.2]) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}|y(t)|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $ \bar tq $ cross-section as a function of $|y(t)|$ at parton level per bin ([0,0.3,0.7,1.3,2.2]) in percent of $\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}|y(t)|}$.
Uncertainties for the normalised differential $ \bar tq $ cross-section as a function of $|y(t)|$ at parton level per bin ([0,0.3,0.7,1.3,2.2]) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}|y(t)|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
This paper presents a measurement of the triple-differential cross section for the Drell--Yan process $Z/\gamma^*\rightarrow \ell^+\ell^-$ where $\ell$ is an electron or a muon. The measurement is performed for invariant masses of the lepton pairs, $m_{\ell\ell}$, between $46$ and $200$ GeV using a sample of $20.2$ fb$^{-1}$ of $pp$ collisions data at a centre-of-mass energy of $\sqrt{s}=8$ TeV collected by the ATLAS detector at the LHC in 2012. The data are presented in bins of invariant mass, absolute dilepton rapidity, $|y_{\ell\ell}|$, and the angular variable $\cos\theta^{*}$ between the outgoing lepton and the incoming quark in the Collins--Soper frame. The measurements are performed in the range $|y_{\ell\ell}|<2.4$ in the muon channel, and extended to $|y_{\ell\ell}|<3.6$ in the electron channel. The cross sections are used to determine the $Z$ boson forward-backward asymmetry as a function of $|y_{\ell\ell}|$ and $m_{\ell\ell}$. The measurements achieve high-precision, below the percent level in the pole region, excluding the uncertainty in the integrated luminosity, and are in agreement with predictions. These precision data are sensitive to the parton distribution functions and the effective weak mixing angle.
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