A search is presented for the pair production of higgsinos $\tilde{\chi}$ in gauge-mediated supersymmetry models, where the lightest neutralinos $\tilde{\chi}_1^0$ decay into a light gravitino $\tilde{G}$ either via a Higgs $h$ or $Z$ boson. The search is performed with the ATLAS detector at the Large Hadron Collider using 139 fb$^{-1}$ of proton-proton collisions at a centre-of-mass energy of $\sqrt{s}$ = 13 TeV. It targets final states in which a Higgs boson decays into a photon pair, while the other Higgs or $Z$ boson decays into a $b\bar{b}$ pair, with missing transverse momentum associated with the two gravitinos. Search regions dependent on the amount of missing transverse momentum are defined by the requirements that the diphoton mass should be consistent with the mass of the Higgs boson, and the $b\bar{b}$ mass with the mass of the Higgs or $Z$ boson. The main backgrounds are estimated with data-driven methods using the sidebands of the diphoton mass distribution. No excesses beyond Standard Model expectations are observed and higgsinos with masses up to 320 GeV are excluded, assuming a branching fraction of 100% for $\tilde{\chi}_1^0\rightarrow h\tilde{G}$. This analysis excludes higgsinos with masses of 130 GeV for branching fractions to $h\tilde{G}$ as low as 36%, thus providing complementarity to previous ATLAS searches in final states with multiple leptons or multiple $b$-jets, targeting different decays of the electroweak bosons.
<b>- - - - - - - - Overview of HEPData Record - - - - - - - -</b> <b>Histograms:</b><ul> <li><a href=?table=Distribution1>Figure 3a: $m_{\gamma\gamma}$ Distribution in VR1</a> <li><a href=?table=Distribution2>Figure 3b: $E_{\mathrm{T}}^{\mathrm{miss}}$ Distribution in VR1</a> <li><a href=?table=Distribution3>Figure 3c: $m_{\gamma\gamma}$ Distribution in VR2</a> <li><a href=?table=Distribution4>Figure 3d: $E_{\mathrm{T}}^{\mathrm{miss}}$ Distribution in VR2</a> <li><a href=?table=Distribution5>Figure 4a: N-1 $m_{\gamma\gamma}$ Distribution for SR1h</a> <li><a href=?table=Distribution6>Figure 4b: N-1 $m_{\gamma\gamma}$ Distribution for SR1Z</a> <li><a href=?table=Distribution7>Figure 4c: N-1 $m_{\gamma\gamma}$ Distribution for SR2</a> <li><a href=?table=Distribution8>Auxiliary Figure 1: Signal and Validation Region Yields</a> </ul> <b>Tables:</b><ul> <li><a href=?table=YieldsTable1>Table 3: Signal Region Yields & Model-independent Limits</a> <li><a href=?table=Cutflow1>Auxiliary Table 1: Benchmark Signal Cutflows</a> </ul> <b>Cross section limits:</b><ul> <li><a href=?table=X-sectionU.L.1>Figure 5: 1D Cross-section Limits</a> <li><a href=?table=X-sectionU.L.2>Auxiliary Figure 3: 2D Cross-section Limits</a> </ul> <b>2D CL limits:</b><ul> <li><a href=?table=Exclusioncontour1>Figure 6: Expected Limit on $\mathrm{BF}(\tilde{\chi}_1^0\rightarrow h\tilde{G})$</a> <li><a href=?table=Exclusioncontour2>Figure 6: $+1\sigma$ Variation for Expected Limit on $\mathrm{BF}(\tilde{\chi}_1^0\rightarrow h\tilde{G})$</a> <li><a href=?table=Exclusioncontour3>Figure 6: $-1\sigma$ Variation for Expected Limit on $\mathrm{BF}(\tilde{\chi}_1^0\rightarrow h\tilde{G})$</a> <li><a href=?table=Exclusioncontour4>Figure 6: Observed Limit on $\mathrm{BF}(\tilde{\chi}_1^0\rightarrow h\tilde{G})$</a> <li><a href=?table=Exclusioncontour5>Figure 6: $+1\sigma$ Variation for Observed Limit on $\mathrm{BF}(\tilde{\chi}_1^0\rightarrow h\tilde{G})$</a> <li><a href=?table=Exclusioncontour6>Figure 6: $-1\sigma$ Variation for Observed Limit on $\mathrm{BF}(\tilde{\chi}_1^0\rightarrow h\tilde{G})$</a> </ul> <b>2D Acceptance and Efficiency maps:</b><ul> <li><a href=?table=Acceptance1>Auxiliary Figure 4a: Acceptances SR1h</a> <li><a href=?table=Acceptance2>Auxiliary Figure 4b: Acceptances SR1Z</a> <li><a href=?table=Acceptance3>Auxiliary Figure 4c: Acceptances SR2</a> <li><a href=?table=Efficiency1>Auxiliary Figure 5a: Efficiencies SR1h</a> <li><a href=?table=Efficiency2>Auxiliary Figure 5b: Efficiencies SR1Z</a> <li><a href=?table=Efficiency3>Auxiliary Figure 5c: Efficiencies SR2</a> </ul>
The J/$\psi$$\to$$\mu^+\mu^-\mu^+\mu^-$ decay has been observed with a statistical significance in excess of five standard deviations. The analysis is based on an event sample of proton-proton collisions at a center-of-mass energy of 13 TeV, collected by the CMS experiment in 2018 and corresponding to an integrated luminosity of 33.6 fb${-1}$. Normalizing to the J/$\psi$$\to$$\mu^+\mu^-$ decay mode leads to a branching fraction [10.1$^{+3.3}_{-2.7}$ (stat) $\pm$ 0.4 (syst) ]$\times$ 10$^{-7}$, a value that is consistent with the standard model prediction.
$\mathrm{J}\mspace{-2mu}/\mspace{-2mu}\psi \to \mu\mu\mu\mu$ branching fraction
$\mathcal{B}(\mathrm{J}\mspace{-2mu}/\mspace{-2mu}\psi \to \mu\mu\mu\mu)$ / $\mathcal{B}(\mathrm{J}\mspace{-2mu}/\mspace{-2mu}\psi \to \mu\mu)$ ratio
A search for exotic decays of the Higgs boson (H) with a mass of 125 GeV to a pair of light pseudoscalars $\mathrm{a}_1$ is performed in final states where one pseudoscalar decays to two b quarks and the other to a pair of muons or $\tau$ leptons. A data sample of proton-proton collisions at $\sqrt{s}$ = 13 TeV corresponding to an integrated luminosity of 138 fb$^{-1}$ recorded with the CMS detector is analyzed. No statistically significant excess is observed over the standard model backgrounds. Upper limits are set at 95% confidence level (CL) on the Higgs boson branching fraction to $\mu\mu$bb and to $\tau\tau$bb, via a pair of $\mathrm{a}_1$s. The limits depend on the pseudoscalar mass $m_{\mathrm{a}_1}$ and are observed to be in the range (0.17-3.3) $\times$ 10$^{-4}$ and (1.7-7.7) $\times$ 10$^{2}$ in the $\mu\mu$bb and $\tau\tau$bb final states, respectively. In the framework of models with two Higgs doublets and a complex scalar singlet (2HDM+S), the results of the two final states are combined to determine model-independent upper limits on the branching fraction $\mathcal{B}$(H $\to$ $\mathrm{a}_1\mathrm{a}_1$ $\to$ $\ell\ell$bb) at 95% CL, with $\ell$ being a muon or a $\tau$ lepton. For different types of 2HDM+S, upper bounds on the branching fraction $\mathcal{B}$(H $\to$ $\mathrm{a}_1\mathrm{a}_1$) are extracted from the combination of the two channels. In most of the Type II 2HDM+S parameter space, $\mathcal{B}($H $\to$ $\mathrm{a}_1\mathrm{a}_1$) values above 0.23 are excluded at 95% CL for $m_{\mathrm{a}_1}$ values between 15 and 60 GeV.
Observed and expected upper limits at 95% CL on B($\text{H} \rightarrow \text{a}_{1}\text{a}_{1} \rightarrow \mu\mu$bb) as functions of $m_{\text{a}_{1}}$. The inner and outer bands indicate the regions containing the distribution of limits located within 68 and 95% confidence intervals, respectively, of the expectation under the background-only hypothesis.
Observed and expected upper limits at 95% CL on B($\text{H} \rightarrow \text{a}_{1}\text{a}_{1} \rightarrow \tau\tau$bb) in percent as functions of $m_{\text{a}_{1}}$, for the combination of the $\mu\tau_{\text{h}}$, $e\tau_{\text{h}}$, and $e\mu$ channels. The inner and outer bands indicate the regions containing the distribution of limits located within 68 and 95% confidence intervals, respectively, of the expectation under the background-only hypothesis.
Observed and expected upper limits at 95% CL on B($\text{H} \rightarrow \text{a}_{1}\text{a}_{1} \rightarrow ll$bb) in percent, where $l$ stands for muons or $\tau$ leptons, obtained from the combination of the $\mu\mu$bb and $\tau\tau$bb channels. The results are obtained as functions $m_{\text{a}_{1}}$ for 2HDM+S models, independent of the type and tan $\beta$ parameter. The inner and outer bands indicate the regions containing the distribution of limits located within 68 and 95% confidence intervals, respectively, of the expectation under the background-only hypothesis.
Statistical combinations of searches for charginos and neutralinos using various decay channels are performed using $139\,$fb$^{-1}$ of $pp$ collision data at $\sqrt{s}=13\,$TeV with the ATLAS detector at the Large Hadron Collider. Searches targeting pure-wino chargino pair production, pure-wino chargino-neutralino production, or higgsino production decaying via Standard Model $W$, $Z$, or $h$ bosons are combined to extend the mass reach to the produced SUSY particles by 30-100 GeV. The depth of the sensitivity of the original searches is also improved by the combinations, lowering the 95% CL cross-section upper limits by 15%-40%.
Observed 95% CL exclusion limits on the simplified models of higgsino GGM scenarios.
Higgsinos with masses near the electroweak scale can solve the hierarchy problem and provide a dark matter candidate, while detecting them at the LHC remains challenging if their mass-splitting is $\mathcal{O}$(1 GeV). This Letter presents a novel search for nearly mass-degenerate higgsinos in events with an energetic jet, missing transverse momentum, and a low-momentum track with a significant transverse impact parameter using 140 fb$^{-1}$ of proton-proton collision data at $\sqrt{s}$ = 13 TeV collected by the ATLAS experiment. For the first time since LEP, a range of mass-splittings between the lightest charged and neutral higgsinos from 0.3 GeV to 0.9 GeV is excluded at 95% confidence level, with a maximum reach of approximately 170 GeV in the higgsino mass.
Expected and observed CLs values per signal point represented by the grey numbers. The expected (dashed) and observed (solid) 95% CL exclusion limits are overlaid along with $\pm 1\sigma_{\mathrm{exp}}$ (yellow band) from experimental systematic and statistical uncertainties, and with $\pm 1\sigma_{\mathrm{theory}}^{\mathrm{SUSY}}$ (red dotted lines) from signal cross-section uncertainties, respectively.
This paper presents the measurement of fiducial and differential cross sections for both the inclusive and electroweak production of a same-sign $W$-boson pair in association with two jets ($W^\pm W^\pm jj$) using 139 fb$^{-1}$ of proton-proton collision data recorded at a centre-of-mass energy of $\sqrt{s}=13$ TeV by the ATLAS detector at the Large Hadron Collider. The analysis is performed by selecting two same-charge leptons, electron or muon, and at least two jets with large invariant mass and a large rapidity difference. The measured fiducial cross sections for electroweak and inclusive $W^\pm W^\pm jj$ production are $2.92 \pm 0.22\, \text{(stat.)} \pm 0.19\, \text{(syst.)}$ fb and $3.38 \pm 0.22\, \text{(stat.)} \pm 0.19\, \text{(syst.)}$ fb, respectively, in agreement with Standard Model predictions. The measurements are used to constrain anomalous quartic gauge couplings by extracting 95% confidence level intervals on dimension-8 operators. A search for doubly charged Higgs bosons $H^{\pm\pm}$ that are produced in vector-boson fusion processes and decay into a same-sign $W$ boson pair is performed. The largest deviation from the Standard Model occurs for an $H^{\pm\pm}$ mass near 450 GeV, with a global significance of 2.5 standard deviations.
Evolution of the one-dimensional expected and observed limits at 95% CL on the parameters corresponding to the quartic operators with label M1 as a function of the cut-off scale. The unitarity bounds as a function of the cut-off scale are defined for one non-zero Wilson coefficient.
This paper presents a study of $Z \to ll\gamma~$decays with the ATLAS detector at the Large Hadron Collider. The analysis uses a proton-proton data sample corresponding to an integrated luminosity of 20.2 fb$^{-1}$ collected at a centre-of-mass energy $\sqrt{s}$ = 8 TeV. Integrated fiducial cross-sections together with normalised differential fiducial cross-sections, sensitive to the kinematics of final-state QED radiation, are obtained. The results are found to be in agreement with state-of-the-art predictions for final-state QED radiation. First measurements of $Z \to ll\gamma\gamma$ decays are also reported.
Unfolded dR distribution for $Z \to \mu\mu\gamma$ process with bare leptons and bkg subtraction. $M_{ll}>20$ GeV. Nexp.un f. = 65362.4 $\pm$ 255.7 , NPowHeg truth =634214.
A search is presented for a third-generation leptoquark (LQ) coupled exclusively to a $\tau$ lepton and a b quark. The search is based on proton-proton collision data at a center-of-mass energy of 13 TeV recorded with the CMS detector, corresponding to an integrated luminosity of 138 fb$^{-1}$. Events with $\tau$ leptons and a varying number of jets originating from b quarks are considered, targeting the single and pair production of LQs, as well as nonresonant $t$-channel LQ exchange. An excess is observed in the data with respect to the background expectation in the combined analysis of all search regions. For a benchmark LQ mass of 2 TeV and an LQ-b-$\tau$ coupling strength of 2.5, the excess reaches a local significance of up to 2.8 standard deviations. Upper limits at the 95% confidence level are placed on the LQ production cross section in the LQ mass range 0.5-2.3 TeV, and up to 3 TeV for $t$-channel LQ exchange. Leptoquarks are excluded below masses of 1.22-1.88 TeV for different LQ models and varying coupling strengths up to 2.5. The study of nonresonant $\tau\tau$ production through $t$-channel LQ exchange allows lower limits on the LQ mass of up to 2.3 TeV to be obtained.
Postfit distributions of $S_\mathrm{T}^\mathrm{MET}$ in the $\mathrm{e}\mu$ channel of the 0b category for the combined 2016-2018 data set after a simultaneous fit of the background and vector LQ signal to the data. The number of events in each bin are divided by the respective bin width. The last bin includes the overflow.
A search for physics beyond the Standard Model inducing periodic signals in the dielectron and diphoton invariant mass spectra is presented using 139 fb$^{-1}$ of $\sqrt{s}=13$ TeV $pp$ collision data collected by the ATLAS experiment at the LHC. Novel search techniques based on continuous wavelet transforms are used to infer the frequency of periodic signals from the invariant mass spectra and neural network classifiers are used to enhance the sensitivity to periodic resonances. In the absence of a signal, exclusion limits are placed at the 95% confidence level in the two-dimensional parameter space of the clockwork gravity model. Model-independent searches for deviations from the background-only hypothesis are also performed.
The expected minus one standard deviation exclusion limit at 95% CL for the clockwork gravity model projected in the $k–M_{5}$ parameter space for the $\gamma\gamma$ channel for the case without mass thresholds.
A search for supersymmetry targeting the direct production of winos and higgsinos is conducted in final states with either two leptons ($e$ or $\mu$) with the same electric charge, or three leptons. The analysis uses 139 fb$^{-1}$ of $pp$ collision data at $\sqrt{s}=13$ TeV collected with the ATLAS detector during Run 2 of the Large Hadron Collider. No significant excess over the Standard Model expectation is observed. Simplified and complete models with and without $R$-parity conservation are considered. In topologies with intermediate states including either $Wh$ or $WZ$ pairs, wino masses up to 525 GeV and 250 GeV are excluded, respectively, for a bino of vanishing mass. Higgsino masses smaller than 440 GeV are excluded in a natural $R$-parity-violating model with bilinear terms. Upper limits on the production cross section of generic events beyond the Standard Model as low as 40 ab are obtained in signal regions optimised for these models and also for an $R$-parity-violating scenario with baryon-number-violating higgsino decays into top quarks and jets. The analysis significantly improves sensitivity to supersymmetric models and other processes beyond the Standard Model that may contribute to the considered final states.
A search is presented for displaced production of Higgs bosons or $Z$ bosons, originating from the decay of a neutral long-lived particle (LLP) and reconstructed in the decay modes $H\rightarrow \gamma\gamma$ and $Z\rightarrow ee$. The analysis uses the full Run 2 data set of proton$-$proton collisions delivered by the LHC at an energy of $\sqrt{s}=13$ TeV between 2015 and 2018 and recorded by the ATLAS detector, corresponding to an integrated luminosity of 139 fb$^{-1}$. Exploiting the capabilities of the ATLAS liquid argon calorimeter to precisely measure the arrival times and trajectories of electromagnetic objects, the analysis searches for the signature of pairs of photons or electrons which arise from a common displaced vertex and which arrive after some delay at the calorimeter. The results are interpreted in a gauge-mediated supersymmetry breaking model with pair-produced higgsinos that decay to LLPs, and each LLP subsequently decays into either a Higgs boson or a $Z$ boson. The final state includes at least two particles that escape direct detection, giving rise to missing transverse momentum. No significant excess is observed above the background expectation. The results are used to set upper limits on the cross section for higgsino pair production, up to a $\tilde\chi^0_1$ mass of 369 (704) GeV for decays with 100% branching ratio of $\tilde\chi^0_1$ to Higgs ($Z$) bosons for a $\tilde\chi^0_1$ lifetime of 2 ns. A model-independent limit is also set on the production of pairs of photons or electrons with a significant delay in arrival at the calorimeter.
The 95% CL limits on $\sigma(pp \rightarrow \tilde\chi^0_1 \tilde\chi^0_1$) in fb as a function of $\tilde\chi^0_1$ branching ratio to the SM Higgs boson, where the assumed cross-section is for higgsino production, and $\mathcal{B}$($\tilde\chi^0_1$ $\rightarrow Z +\tilde{G}$) = 1 - $\mathcal{B}$($\tilde\chi^0_1$ $\rightarrow H + \tilde{G}$). Several signal hypotheses are overlaid that are labelled by the $\tilde\chi^0_1$ mass, all with a fixed $\tilde\chi^0_1$ lifetime of 2 ns.
Differential and double-differential distributions of kinematic variables of leptons from decays of top-quark pairs ($t\bar{t}$) are measured using the full LHC Run 2 data sample collected with the ATLAS detector. The data were collected at a $pp$ collision energy of $\sqrt{s}=13$ TeV and correspond to an integrated luminosity of 140 fb$^{-1}$. The measurements use events containing an oppositely charged $e\mu$ pair and $b$-tagged jets. The results are compared with predictions from several Monte Carlo generators. While no prediction is found to be consistent with all distributions, a better agreement with measurements of the lepton $p_{\text{T}}$ distributions is obtained by reweighting the $t\bar{t}$ sample so as to reproduce the top-quark $p_{\text{T}}$ distribution from an NNLO calculation. The inclusive top-quark pair production cross-section is measured as well, both in a fiducial region and in the full phase-space. The total inclusive cross-section is found to be \[ \sigma_{t\bar{t}} = 829 \pm 1\;(\textrm{stat}) \pm 13\;(\textrm{syst}) \pm 8\;(\textrm{lumi}) \pm 2\; (\textrm{beam})\ \textrm{pb}, \] where the uncertainties are due to statistics, systematic effects, the integrated luminosity and the beam energy. This is in excellent agreement with the theoretical expectation.
Data bootstrap post unfolding for the differential absolute cross-section for $\textrm{p}_{\textrm{T}}^{e\mu}$. The replicas are obtained by reweighting each observed data event by a random integer generated according to Poisson statistics, using the BootstrapGenerator software package (https://gitlab.cern.ch/atlas-physics/sm/StandardModelTools_BootstrapGenerator/BootstrapGenerator), which implements a technique described in ATL-PHYS-PUB-2021-011 (https://cds.cern.ch/record/2759945). The ATLAS event number and run number of each event are used as seed to uniquely but reproducibly initialise the random number generator for each event. All the provided numbers originate from pseudo-data, including the 0th entry, and are in units of [fb/GeV]. The last bin of the distribution contains the overflow.
The production of a $W$ boson in association with a single charm quark is studied using 140 $\mathrm{fb}^{-1}$ of $\sqrt{s} = 13\,\mathrm{TeV}$ proton-proton collision data collected with the ATLAS detector at the Large Hadron Collider. The charm quark is tagged by a charmed hadron, reconstructed with a secondary-vertex fit. The $W$ boson is reconstructed from an electron/muon decay and the missing transverse momentum. The mesons reconstructed are $D^{\pm} \to K^\mp \pi^\pm \pi^\pm$ and $D^{*\pm} \to D^{0} \pi^\pm \to (K^\mp \pi^\pm) \pi^\pm$, where $p_{\text{T}}(e, \mu) > 30\,\mathrm{GeV}$, $|\eta(e, \mu)| < 2.5$, $p_{\text{T}}(D) > 8\,\mathrm{GeV}$, and $|\eta(D)| < 2.2$. The integrated and normalized differential cross-sections as a function of the pseudorapidity of the lepton from the $W$ boson decay, and of the transverse momentum of the meson, are extracted from the data using a profile likelihood fit. The measured fiducial cross-sections are $\sigma^{\mathrm{OS-SS}}_{\mathrm{fid}}(W^{-}{+}D^{+}) = 50.2\pm0.2\,\mathrm{(stat.)}\,^{+2.4}_{-2.3}\,\mathrm{(syst.)}\,\mathrm{pb}$, $\sigma^{\mathrm{OS-SS}}_{\mathrm{fid}}(W^{+}{+}D^{-}) = 48.5\pm0.2\,\mathrm{(stat.)}\,^{+2.3}_{-2.2}\,\mathrm{(syst.)}\,\mathrm{pb}$, $\sigma^{\mathrm{OS-SS}}_{\mathrm{fid}}(W^{-}{+}D^{*+}) = 51.1\pm0.4\,\mathrm{(stat.)}\,^{+1.9}_{-1.8}\,\mathrm{(syst.)}\,\mathrm{pb}$, and $\sigma^{\mathrm{OS-SS}}_{\mathrm{fid}}(W^{+}{+}D^{*-}) = 50.0\pm0.4\,\mathrm{(stat.)}\,^{+1.9}_{-1.8}\,\mathrm{(syst.)}\,\mathrm{pb}$. Results are compared with the predictions of next-to-leading-order quantum chromodynamics calculations performed using state-of-the-art parton distribution functions. The ratio of charm to anti-charm production cross-sections is studied to probe the $s$-$\bar{s}$ quark asymmetry and is found to be $R_c^\pm = 0.971\pm0.006\,\mathrm{(stat.)}\pm0.011\,\mathrm{(syst.)}$.
Measured $|\eta(\ell)|$ differential fiducial cross-section times the single-lepton-flavor W boson branching ratio in the $W^{+}+D^{*-}$ channel with the full breakdown of uncertainties.
Measurements of differential cross sections are presented for inclusive isolated-photon production in $pp$ collisions at a centre-of-mass energy of 13 TeV provided by the LHC and using 139 fb$^{-1}$ of data recorded by the ATLAS experiment. The cross sections are measured as functions of the photon transverse energy in different regions of photon pseudorapidity. The photons are required to be isolated by means of a fixed-cone method with two different cone radii. The dependence of the inclusive-photon production on the photon isolation is investigated by measuring the fiducial cross sections as functions of the isolation-cone radius and the ratios of the differential cross sections with different radii in different regions of photon pseudorapidity. The results presented in this paper constitute an improvement with respect to those published by ATLAS earlier: the measurements are provided for different isolation radii and with a more granular segmentation in photon pseudorapidity that can be exploited in improving the determination of the proton parton distribution functions. These improvements provide a more in-depth test of the theoretical predictions. Next-to-leading-order QCD predictions from JETPHOX and SHERPA and next-to-next-to-leading-order QCD predictions from NNLOJET are compared to the measurements, using several parameterisations of the proton parton distribution functions. The measured cross sections are well described by the fixed-order QCD predictions within the experimental and theoretical uncertainties in most of the investigated phase-space region.
Predicted cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.56<|\eta^{\gamma}|<1.81$ and isolation cone radius $0.2$ at NNLO QCD.
A search for long-lived particles decaying into hadrons is presented. The analysis uses 139 fb$^{-1}$ of $pp$ collision data collected at $\sqrt{s} = 13$ TeV by the ATLAS detector at the LHC using events that contain multiple energetic jets and a displaced vertex. The search employs dedicated reconstruction techniques that significantly increase the sensitivity to long-lived particles decaying in the ATLAS inner detector. Background estimates for Standard Model processes and instrumental effects are extracted from data. The observed event yields are compatible with those expected from background processes. The results are used to set limits at 95% confidence level on model-independent cross sections for processes beyond the Standard Model, and on scenarios with pair-production of supersymmetric particles with long-lived electroweakinos that decay via a small $R$-parity-violating coupling. The pair-production of electroweakinos with masses below 1.5 TeV is excluded for mean proper lifetimes in the range from 0.03 ns to 1 ns. When produced in the decay of $m(\tilde{g})=2.4$ TeV gluinos, electroweakinos with $m(\tilde\chi^0_1)=1.5$ TeV are excluded with lifetimes in the range of 0.02 ns to 4 ns.
<b>Tables of Yields:</b> <a href="?table=validation_regions_yields_highpt_SR">Validation Regions Summary Yields, High-pT jet selections</a> <a href="?table=validation_regions_yields_trackless_SR">Validiation Regions Summary Yields, Trackless jet selections</a> <a href="?table=yields_highpt_SR_observed">Signal region (and sidebands) observed yields, High-pT jet selections</a> <a href="?table=yields_highpt_SR_expected">Signal region (and sidebands) expected yields, High-pT jet selections</a> <a href="?table=yields_trackless_SR_observed">Signal region (and sidebands) observed yields, Trackless jet selections</a> <a href="?table=yields_trackless_SR_expected">Signal region (and sidebands) expected yields, Trackless jet selections</a> <b>Exclusion Contours:</b> <a href="?table=excl_ewk_exp_nominal">EWK RPV signal; expected, nominal</a> <a href="?table=excl_ewk_exp_up">EWK RPV signal; expected, $+1\sigma$</a> <a href="?table=excl_ewk_exp_down">EWK RPV signal; expected, $-1\sigma$</a> <a href="?table=excl_ewk_obs_nominal">EWK RPV signal; observed, nominal</a> <a href="?table=excl_ewk_obs_up">EWK RPV signal; observed, $+1\sigma$</a> <a href="?table=excl_ewk_obs_down">EWK RPV signal; observed, $-1\sigma$</a> <a href="?table=excl_strong_mgluino_2400_GeV_exp_nominal">Strong RPV signal, m($\tilde{g}$)=2.4 TeV; expected, nominal</a> <a href="?table=excl_strong_mgluino_2400_GeV_exp_up">Strong RPV signal, m($\tilde{g}$)=2.4 TeV; expected, $+1\sigma$</a> <a href="?table=excl_strong_mgluino_2400_GeV_exp_down">Strong RPV signal, m($\tilde{g}$)=2.4 TeV; expected, $-1\sigma$</a> <a href="?table=excl_strong_mgluino_2400_GeV_obs_nominal">Strong RPV signal, m($\tilde{g}$)=2.4 TeV; observed, nominal</a> <a href="?table=excl_strong_mgluino_2400_GeV_obs_up">Strong RPV signal, m($\tilde{g}$)=2.4 TeV; observed, $+1\sigma$</a> <a href="?table=excl_strong_mgluino_2400_GeV_obs_down">Strong RPV signal, m($\tilde{g}$)=2.4 TeV; observed, $-1\sigma$</a> <a href="?table=excl_xsec_ewk">EWK RPV signal; cross-section limits for fixed lifetime values.</a> <a href="?table=excl_xsec_strong_mgluino_2400">Strong RPV signal, m($\tilde{g}$)=2.4 TeV; cross-section limits for fixed lifetime values.</a> <a href="?table=excl_strong_mgluino_2000_GeV_exp_nominal">Strong RPV signal, m($\tilde{g}$)=2.0 TeV; expected, nominal</a> <a href="?table=excl_strong_mgluino_2000_GeV_exp_up">Strong RPV signal, m($\tilde{g}$)=2.0 TeV; expected, $+1\sigma$</a> <a href="?table=excl_strong_mgluino_2000_GeV_exp_down">Strong RPV signal, m($\tilde{g}$)=2.0 TeV; expected, $-1\sigma$</a> <a href="?table=excl_strong_mgluino_2000_GeV_obs_nominal">Strong RPV signal, m($\tilde{g}$)=2.0 TeV; observed, nominal</a> <a href="?table=excl_strong_mgluino_2000_GeV_obs_up">Strong RPV signal, m($\tilde{g}$)=2.0 TeV; observed, $+1\sigma$</a> <a href="?table=excl_strong_mgluino_2000_GeV_obs_down">Strong RPV signal, m($\tilde{g}$)=2.0 TeV; observed, $-1\sigma$</a> <a href="?table=excl_strong_mgluino_2200_GeV_exp_nominal">Strong RPV signal, m($\tilde{g}$)=2.2 TeV; expected, nominal</a> <a href="?table=excl_strong_mgluino_2200_GeV_exp_up">Strong RPV signal, m($\tilde{g}$)=2.2 TeV; expected, $+1\sigma$</a> <a href="?table=excl_strong_mgluino_2200_GeV_exp_down">Strong RPV signal, m($\tilde{g}$)=2.2 TeV; expected, $-1\sigma$</a> <a href="?table=excl_strong_mgluino_2200_GeV_obs_nominal">Strong RPV signal, m($\tilde{g}$)=2.2 TeV; observed, nominal</a> <a href="?table=excl_strong_mgluino_2200_GeV_obs_up">Strong RPV signal, m($\tilde{g}$)=2.2 TeV; observed, $+1\sigma$</a> <a href="?table=excl_strong_mgluino_2200_GeV_obs_down">Strong RPV signal, m($\tilde{g}$)=2.2 TeV; observed, $-1\sigma$</a> <a href="?table=excl_strong_mchi0_50_GeV_exp_nominal">Strong RPV signal, m($\tilde{\chi}^{0}$)=0.1 TeV; expected, nominal</a> <a href="?table=excl_strong_mchi0_50_GeV_exp_up">Strong RPV signal, m($\tilde{\chi}^{0}$)=0.1 TeV; expected, $+1\sigma$</a> <a href="?table=excl_strong_mchi0_50_GeV_exp_down">Strong RPV signal, m($\tilde{\chi}^{0}$)=0.1 TeV; expected, $-1\sigma$</a> <a href="?table=excl_strong_mchi0_50_GeV_obs_nominal">Strong RPV signal, m($\tilde{\chi}^{0}$)=0.1 TeV; observed, nominal</a> <a href="?table=excl_strong_mchi0_50_GeV_obs_up">Strong RPV signal, m($\tilde{\chi}^{0}$)=0.1 TeV; observed, $+1\sigma$</a> <a href="?table=excl_strong_mchi0_50_GeV_obs_down">Strong RPV signal, m($\tilde{\chi}^{0}$)=0.1 TeV; observed, $-1\sigma$</a> <a href="?table=excl_strong_mchi0_450_GeV_exp_nominal">Strong RPV signal, m($\tilde{\chi}^{0}$)=0.5 TeV; expected, nominal</a> <a href="?table=excl_strong_mchi0_450_GeV_exp_up">Strong RPV signal, m($\tilde{\chi}^{0}$)=0.5 TeV; expected, $+1\sigma$</a> <a href="?table=excl_strong_mchi0_450_GeV_exp_down">Strong RPV signal, m($\tilde{\chi}^{0}$)=0.5 TeV; expected, $-1\sigma$</a> <a href="?table=excl_strong_mchi0_450_GeV_obs_nominal">Strong RPV signal, m($\tilde{\chi}^{0}$)=0.5 TeV; observed, nominal</a> <a href="?table=excl_strong_mchi0_450_GeV_obs_up">Strong RPV signal, m($\tilde{\chi}^{0}$)=0.5 TeV; observed, $+1\sigma$</a> <a href="?table=excl_strong_mchi0_450_GeV_obs_down">Strong RPV signal, m($\tilde{\chi}^{0}$)=0.5 TeV; observed, $-1\sigma$</a> <a href="?table=excl_strong_tau_0p01_ns_exp_nominal">Strong RPV signal, $\tau$=0.01 ns; expected, nominal</a> <a href="?table=excl_strong_tau_0p01_ns_exp_up">Strong RPV signal, $\tau$=0.01 ns; expected, $+1\sigma$</a> <a href="?table=excl_strong_tau_0p01_ns_exp_down">Strong RPV signal, $\tau$=0.01 ns; expected, $-1\sigma$</a> <a href="?table=excl_strong_tau_0p01_ns_obs_nominal">Strong RPV signal, $\tau$=0.01 ns; observed, nominal</a> <a href="?table=excl_strong_tau_0p01_ns_obs_up">Strong RPV signal, $\tau$=0.01 ns; observed, $+1\sigma$</a> <a href="?table=excl_strong_tau_0p01_ns_obs_down">Strong RPV signal, $\tau$=0.01 ns; observed, $-1\sigma$</a> <a href="?table=excl_strong_tau_0p1_ns_exp_nominal">Strong RPV signal, $\tau$=0.10 ns; expected, nominal</a> <a href="?table=excl_strong_tau_0p1_ns_exp_up">Strong RPV signal, $\tau$=0.10 ns; expected, $+1\sigma$</a> <a href="?table=excl_strong_tau_0p1_ns_exp_down">Strong RPV signal, $\tau$=0.10 ns; expected, $-1\sigma$</a> <a href="?table=excl_strong_tau_0p1_ns_obs_nominal">Strong RPV signal, $\tau$=0.10 ns; observed, nominal</a> <a href="?table=excl_strong_tau_0p1_ns_obs_up">Strong RPV signal, $\tau$=0.10 ns; observed, $+1\sigma$</a> <a href="?table=excl_strong_tau_0p1_ns_obs_down">Strong RPV signal, $\tau$=0.10 ns; observed, $-1\sigma$</a> <a href="?table=excl_strong_tau_1_ns_exp_nominal">Strong RPV signal, $\tau$=1.00 ns; expected, nominal</a> <a href="?table=excl_strong_tau_1_ns_exp_up">Strong RPV signal, $\tau$=1.00 ns; expected, $+1\sigma$</a> <a href="?table=excl_strong_tau_1_ns_exp_down">Strong RPV signal, $\tau$=1.00 ns; expected, $-1\sigma$</a> <a href="?table=excl_strong_tau_1_ns_obs_nominal">Strong RPV signal, $\tau$=1.00 ns; observed, nominal</a> <a href="?table=excl_strong_tau_1_ns_obs_up">Strong RPV signal, $\tau$=1.00 ns; observed, $+1\sigma$</a> <a href="?table=excl_strong_tau_1_ns_obs_down">Strong RPV signal, $\tau$=1.00 ns; observed, $-1\sigma$</a> <a href="?table=excl_strong_tau_10_ns_exp_nominal">Strong RPV signal, $\tau$=10.00 ns; expected, nominal</a> <a href="?table=excl_strong_tau_10_ns_exp_up">Strong RPV signal, $\tau$=10.00 ns; expected, $+1\sigma$</a> <a href="?table=excl_strong_tau_10_ns_exp_down">Strong RPV signal, $\tau$=10.00 ns; expected, $-1\sigma$</a> <a href="?table=excl_strong_tau_10_ns_obs_nominal">Strong RPV signal, $\tau$=10.00 ns; observed, nominal</a> <a href="?table=excl_strong_tau_10_ns_obs_up">Strong RPV signal, $\tau$=10.00 ns; observed, $+1\sigma$</a> <a href="?table=excl_strong_tau_10_ns_obs_down">Strong RPV signal, $\tau$=10.00 ns; observed, $-1\sigma$</a> <a href="?table=excl_xsec_strong_chi0_1250">Strong RPV signal, m($\tilde{\chi}^0_1$)=1.25 TeV; cross-section limits for fixed lifetime values.</a> <br/><b>Reinterpretation Material:</b> See the attached resource (purple button on the left) or directly <a href="https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/SUSY-2016-08/hepdata_info.pdf">this link</a> for information about acceptance definition and about how to use the efficiency histograms below. SLHA files are also available in the reource page of this HEPData record. <a href="?table=acceptance_highpt_strong"> Acceptance cutflow, High-pT SR, Strong production.</a> <a href="?table=acceptance_trackless_ewk"> Acceptance cutflow, Trackless SR, EWK production.</a> <a href="?table=acceptance_trackless_ewk_hf"> Acceptance cutflow, Trackless SR, EWK production with heavy-flavor.</a> <a href="?table=acceptance_highpt_ewk_hf"> Acceptance cutflow, Trackless SR, EWK production with heavy-flavor.</a> <a href="?table=event_efficiency_HighPt_R_1150_mm">Reinterpretation Material: Event-level Efficiency for HighPt SR selections, R < 1150 mm</a> <a href="?table=event_efficiency_HighPt_R_1150_3870_mm">Reinterpretation Material: Event-level Efficiency for HighPt SR selections, R [1150, 3870] mm</a> <a href="?table=event_efficiency_HighPt_R_3870_mm">Reinterpretation Material: Event-level Efficiency for HighPt SR selections, R > 3870 mm</a> <a href="?table=event_efficiency_Trackless_R_1150_mm">Reinterpretation Material: Event-level Efficiency for Trackless SR selections, R < 1150 mm</a> <a href="?table=event_efficiency_Trackless_R_1150_3870_mm">Reinterpretation Material: Event-level Efficiency for Trackless SR selections, R [1150, 3870] mm</a> <a href="?table=event_efficiency_Trackless_R_3870_mm">Reinterpretation Material: Event-level Efficiency for Trackless SR selections, R > 3870 mm</a> <a href="?table=vertex_efficiency_R_22_mm">Reinterpretation Material: Vertex-level Efficiency for R < 22 mm</a> <a href="?table=vertex_efficiency_R_22_25_mm">Reinterpretation Material: Vertex-level Efficiency for R [22, 25] mm</a> <a href="?table=vertex_efficiency_R_25_29_mm">Reinterpretation Material: Vertex-level Efficiency for R [25, 29] mm</a> <a href="?table=vertex_efficiency_R_29_38_mm">Reinterpretation Material: Vertex-level Efficiency for R [29, 38] mm</a> <a href="?table=vertex_efficiency_R_38_46_mm">Reinterpretation Material: Vertex-level Efficiency for R [38, 46] mm</a> <a href="?table=vertex_efficiency_R_46_73_mm">Reinterpretation Material: Vertex-level Efficiency for R [46, 73] mm</a> <a href="?table=vertex_efficiency_R_73_84_mm">Reinterpretation Material: Vertex-level Efficiency for R [73, 84] mm</a> <a href="?table=vertex_efficiency_R_84_111_mm">Reinterpretation Material: Vertex-level Efficiency for R [84, 111] mm</a> <a href="?table=vertex_efficiency_R_111_120_mm">Reinterpretation Material: Vertex-level Efficiency for R [111, 120] mm</a> <a href="?table=vertex_efficiency_R_120_145_mm">Reinterpretation Material: Vertex-level Efficiency for R [120, 145] mm</a> <a href="?table=vertex_efficiency_R_145_180_mm">Reinterpretation Material: Vertex-level Efficiency for R [145, 180] mm</a> <a href="?table=vertex_efficiency_R_180_300_mm">Reinterpretation Material: Vertex-level Efficiency for R [180, 300] mm</a> <br/><b>Cutflow Tables:</b> <a href="?table=cutflow_highpt_strong"> Cutflow (Acceptance x Efficiency), High-pT SR, Strong production.</a> <a href="?table=cutflow_trackless_ewk"> Cutflow (Acceptance x Efficiency), Trackless SR, EWK production.</a> <a href="?table=cutflow_trackless_ewk_hf"> Cutflow (Acceptance x Efficiency), Trackless SR, EWK production with heavy-flavor quarks.</a> <a href="?table=cutflow_highpt_ewk_hf"> Cutflow (Acceptance x Efficiency), High-pT SR, EWK production with heavy-flavor quarks.</a>
Reinterpretation Material: Vertex-level Efficiency for R < 22 mm
Reinterpretation Material: Vertex-level Efficiency for R [22, 25] mm
A measurement of single top-quark production in the s-channel is performed in proton$-$proton collisions at a centre-of-mass energy of 13 TeV with the ATLAS detector at the CERN Large Hadron Collider. The dataset corresponds to an integrated luminosity of 139 fb$^{-1}$. The analysis is performed on events with an electron or muon, missing transverse momentum and exactly two $b$-tagged jets in the final state. A discriminant based on matrix element calculations is used to separate single-top-quark s-channel events from the main background contributions, which are top-quark pair production and $W$-boson production in association with jets. The observed (expected) signal significance over the background-only hypothesis is 3.3 (3.9) standard deviations, and the measured cross-section is $\sigma=8.2^{+3.5}_{-2.9}$ pb, consistent with the Standard Model prediction of $\sigma^{\mathrm{SM}}=10.32^{+0.40}_{-0.36}$ pb.
Distribution of $m_{T}^{W}$ after the fit of the multijet backgrounds, in the muon channel, in the signal region, without applying the cut on $m_{T}^{W}$. Simulated events are normalised to the expected number of events given the integrated luminosity, after applying the normalisation factors obtained in the multijet fit. The last bin includes the overflow. The uncertainty band indicates the simulation's statistical uncertainty, the normalisation uncertainties for different processes ($40$ % for $W$+jets production, $30$ % for multijet background and $6$ % for top-quark processes) and the multijet background shape uncertainty in each bin, summed in quadrature. The lower panel of the figure shows the ratio of the data to the prediction.
A search is presented for vector-like T and B quark-antiquark pairs produced in proton-proton collisions at a center-of-mass energy of 13 TeV. Data were collected by the CMS experiment at the CERN LHC in 2016-2018, with an integrated luminosity of 138 fb$^{-1}$. Events are separated into single-lepton, same-sign charge dilepton, and multilepton channels. In the analysis of the single-lepton channel a multilayer neural network and jet identification techniques are employed to select signal events, while the same-sign dilepton and multilepton channels rely on the high-energy signature of the signal to distinguish it from standard model backgrounds. The data are consistent with standard model background predictions, and the production of vector-like quark pairs is excluded at 95% confidence level for T quark masses up to 1.54 TeV and B quark masses up to 1.56 TeV, depending on the branching fractions assumed, with maximal sensitivity to decay modes that include multiple top quarks. The limits obtained in this search are the strongest limits to date for $\mathrm{T\overline{T}}$ production, excluding masses below 1.48 TeV for all decays to third generation quarks, and are the strongest limits to date for $\mathrm{B\overline{B}}$ production with B quark decays to tW.
Distribution of the MLP T quark score in the SR for the $T\overline{T}$ search. The observed data, predicted $T\overline{T}$ signal with mass of 1.2 (1.5) TeV in the singlet scenario, and the background are all shown. Statistical and systematic uncertainties in the background prediction before performing the fit to data are also shown. The signal predictions of 1.2 TeV and 1.5 TeV signals have been scaled by factors of x10 and x20, respectively, for visibility.
The electroweak production of $Z(\nu\bar{\nu})\gamma$ in association with two jets is studied in a regime with a photon of high transverse momentum above 150 GeV using proton-proton collisions at a centre-of-mass energy of 13 TeV at the Large Hadron Collider. The analysis uses a data sample with an integrated luminosity of 139 fb$^{-1}$ collected by the ATLAS detector during the 2015-2018 LHC data-taking period. This process is an important probe of the electroweak symmetry breaking mechanism in the Standard Model and is sensitive to quartic gauge boson couplings via vector-boson scattering. The fiducial $Z(\nu\bar{\nu})\gamma jj$ cross section for electroweak production is measured to be 0.77$^{+0.34}_{-0.30}$ fb and is consistent with the Standard Model prediction. Evidence of electroweak $Z(\nu\bar{\nu})\gamma jj$ production is found with an observed significance of 3.2$\sigma$ for the background-only hypothesis, compared with an expected significance of 3.7$\sigma$. The combination of this result with the previously published ATLAS observation of electroweak $Z(\nu\bar{\nu})\gamma jj$ production yields an observed (expected) signal significance of 6.3$\sigma$ (6.6$\sigma$). Limits on anomalous quartic gauge boson couplings are obtained in the framework of effective field theory with dimension-8 operators.
These graphs indicate the effect of the main theory uncertainties, which are associated with the renormalisation and factorisation scales (dashed cyan), underlying event and parton showering (UE+PS) or generator choice (dash-dotted red), alternative PDF sets (dotted orange), combined NNPDF set variation and $\alpha_s$ uncertainty (loosely dash-dotted green). These are shown in the signal region for the $Z(\nu\bar{\nu})\gamma jj$ EWK process. The BDT classifier response was remapped into equal width bins for better representation. The uncertainty band corresponds to the uncertainty due to the limited number of MC events.
A measurement is presented of the production of Z bosons that decay into two electrons or muons in association with jets, in proton-proton collisions at a centre-of-mass energy of 13 TeV. The data were recorded by the CMS Collaboration at the LHC with an integrated luminosity of 35.9 fb$^{-1}$. The differential cross sections are measured as a function of the transverse momentum ($p_\mathrm{T}$) of the Z boson and the transverse momentum and rapidities of the five jets with largest $p_\mathrm{T}$. The jet multiplicity distribution is measured for up to eight jets. The hadronic activity in the events is estimated using the scalar sum of the $p_\mathrm{T}$ of all the jets. All measurements are unfolded to the stable particle-level and compared with predictions from various Monte Carlo event generators, as well as with expectations at leading and next-to-leading orders in perturbative quantum chromodynamics.
Measured cross section as a function of the transverse momenum of the first jet, $p_{\text{T}}(\text{j}_1)$, and breakdown of the relative uncertainty.
Cross-section measurements of top-quark pair production where the hadronically decaying top quark has transverse momentum greater than $355$ GeV and the other top quark decays into $\ell \nu b$ are presented using 139 fb$^{-1}$ of data collected by the ATLAS experiment during proton-proton collisions at the LHC. The fiducial cross-section at $\sqrt{s}=13$ TeV is measured to be $\sigma = 1.267 \pm 0.005 \pm 0.053$ pb, where the uncertainties reflect the limited number of data events and the systematic uncertainties, giving a total uncertainty of $4.2\%$. The cross-section is measured differentially as a function of variables characterising the $t\bar{t}$ system and additional radiation in the events. The results are compared with various Monte Carlo generators, including comparisons where the generators are reweighted to match a parton-level calculation at next-to-next-to-leading order. The reweighting improves the agreement between data and theory. The measured distribution of the top-quark transverse momentum is used to set limits on the Wilson coefficients of the dimension-six operators $O_{tG}$ and $O_{tq}^{(8)}$ in the effective field theory framework.
- - - - - - - - Overview of HEPData Record - - - - - - - - <br/><br/> <b>Fiducial phase space definitions:</b><br/> <ul> <li> NLEP = 1, either E or MU, PT > 27 GeV, ABS ETA < 2.5 <li> NJETS >= 2, R = 0.4, PT > 26 GeV, ABS ETA < 2.5 <li> NBJETS >= 2 <li> NJETS >= 1, R=1, PT > 355 GeV, ABS ETA < 2.0, top-tagged </ul><br/> <u>1D:</u><br/> Spectra:<br/> <ul><br/> <li>SIG (<a href="1651136742?version=1&table=Table 1">Table 1</a> ) <li>DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 2">Table 2</a> ) <li>1/SIG*DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 4">Table 4</a> ) <li>DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 5">Table 5</a> ) <li>1/SIG*DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 7">Table 7</a> ) <li>DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 8">Table 8</a> ) <li>1/SIG*DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 10">Table 10</a> ) <li>DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 11">Table 11</a> ) <li>1/SIG*DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 13">Table 13</a> ) <li>DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 14">Table 14</a> ) <li>1/SIG*DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 16">Table 16</a> ) <li>DSIG/DY_TTBAR (<a href="1651136742?version=1&table=Table 17">Table 17</a> ) <li>1/SIG*DSIG/DY_TTBAR (<a href="1651136742?version=1&table=Table 19">Table 19</a> ) <li>DSIG/DHT_TTBAR (<a href="1651136742?version=1&table=Table 20">Table 20</a> ) <li>1/SIG*DSIG/DHT_TTBAR (<a href="1651136742?version=1&table=Table 22">Table 22</a> ) <li>DSIG/DDPHIOPI_THAD_BLEP (<a href="1651136742?version=1&table=Table 23">Table 23</a> ) <li>1/SIG*DSIG/DDPHIOPI_THAD_BLEP (<a href="1651136742?version=1&table=Table 25">Table 25</a> ) <li>DSIG/DPT_TTBAR (<a href="1651136742?version=1&table=Table 26">Table 26</a> ) <li>1/SIG*DSIG/DPT_TTBAR (<a href="1651136742?version=1&table=Table 28">Table 28</a> ) <li>DSIG/DDPHIOPI_TTBAR (<a href="1651136742?version=1&table=Table 29">Table 29</a> ) <li>1/SIG*DSIG/DDPHIOPI_TTBAR (<a href="1651136742?version=1&table=Table 31">Table 31</a> ) <li>DSIG/DHT (<a href="1651136742?version=1&table=Table 32">Table 32</a> ) <li>1/SIG*DSIG/DHT (<a href="1651136742?version=1&table=Table 34">Table 34</a> ) <li>DSIG/DNJETS (<a href="1651136742?version=1&table=Table 35">Table 35</a> ) <li>1/SIG*DSIG/DNJETS (<a href="1651136742?version=1&table=Table 37">Table 37</a> ) <li>DSIG/DPT_J1 (<a href="1651136742?version=1&table=Table 38">Table 38</a> ) <li>1/SIG*DSIG/DPT_J1 (<a href="1651136742?version=1&table=Table 40">Table 40</a> ) <li>DSIG/DM_J1_THAD (<a href="1651136742?version=1&table=Table 41">Table 41</a> ) <li>1/SIG*DSIG/DM_J1_THAD (<a href="1651136742?version=1&table=Table 43">Table 43</a> ) <li>DSIG/DDPHIOPI_THAD_J1 (<a href="1651136742?version=1&table=Table 44">Table 44</a> ) <li>1/SIG*DSIG/DDPHIOPI_THAD_J1 (<a href="1651136742?version=1&table=Table 46">Table 46</a> ) <li>DSIG/DDPHIOPI_THAD_J2 (<a href="1651136742?version=1&table=Table 47">Table 47</a> ) <li>1/SIG*DSIG/DDPHIOPI_THAD_J2 (<a href="1651136742?version=1&table=Table 49">Table 49</a> ) <li>DSIG/DDPHIOPI_J1_J2 (<a href="1651136742?version=1&table=Table 50">Table 50</a> ) <li>1/SIG*DSIG/DDPHIOPI_J1_J2 (<a href="1651136742?version=1&table=Table 52">Table 52</a> ) <li>DSIG/DPT_J2 (<a href="1651136742?version=1&table=Table 53">Table 53</a> ) <li>1/SIG*DSIG/DPT_J2 (<a href="1651136742?version=1&table=Table 55">Table 55</a> ) </ul><br/> Statistical covariance matrices: <ul> <li>DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 3">Table 3</a> ) <li>DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 6">Table 6</a> ) <li>DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 9">Table 9</a> ) <li>DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 12">Table 12</a> ) <li>DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 15">Table 15</a> ) <li>DSIG/DY_TTBAR (<a href="1651136742?version=1&table=Table 18">Table 18</a> ) <li>DSIG/DHT_TTBAR (<a href="1651136742?version=1&table=Table 21">Table 21</a> ) <li>DSIG/DDPHIOPI_THAD_BLEP (<a href="1651136742?version=1&table=Table 24">Table 24</a> ) <li>DSIG/DPT_TTBAR (<a href="1651136742?version=1&table=Table 27">Table 27</a> ) <li>DSIG/DDPHIOPI_TTBAR (<a href="1651136742?version=1&table=Table 30">Table 30</a> ) <li>DSIG/DHT (<a href="1651136742?version=1&table=Table 33">Table 33</a> ) <li>DSIG/DNJETS (<a href="1651136742?version=1&table=Table 36">Table 36</a> ) <li>DSIG/DPT_J1 (<a href="1651136742?version=1&table=Table 39">Table 39</a> ) <li>DSIG/DM_J1_THAD (<a href="1651136742?version=1&table=Table 42">Table 42</a> ) <li>DSIG/DDPHIOPI_THAD_J1 (<a href="1651136742?version=1&table=Table 45">Table 45</a> ) <li>DSIG/DDPHIOPI_THAD_J2 (<a href="1651136742?version=1&table=Table 48">Table 48</a> ) <li>DSIG/DDPHIOPI_J1_J2 (<a href="1651136742?version=1&table=Table 51">Table 51</a> ) <li>DSIG/DPT_J2 (<a href="1651136742?version=1&table=Table 54">Table 54</a> ) </ul><br/> Inter-spectra statistical covariance matrices: <ul> <li>Statistical covariance between DSIG/DPT_THAD and DSIG/DSIG (<a href="1651136742?version=1&table=Table 104">Table 104</a> ) <li>Statistical covariance between DSIG/DPT_TLEP and DSIG/DSIG (<a href="1651136742?version=1&table=Table 105">Table 105</a> ) <li>Statistical covariance between DSIG/DPT_TLEP and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 106">Table 106</a> ) <li>Statistical covariance between DSIG/DM_TTBAR and DSIG/DSIG (<a href="1651136742?version=1&table=Table 107">Table 107</a> ) <li>Statistical covariance between DSIG/DM_TTBAR and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 108">Table 108</a> ) <li>Statistical covariance between DSIG/DM_TTBAR and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 109">Table 109</a> ) <li>Statistical covariance between DSIG/DABS_Y_THAD and DSIG/DSIG (<a href="1651136742?version=1&table=Table 110">Table 110</a> ) <li>Statistical covariance between DSIG/DABS_Y_THAD and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 111">Table 111</a> ) <li>Statistical covariance between DSIG/DABS_Y_THAD and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 112">Table 112</a> ) <li>Statistical covariance between DSIG/DABS_Y_THAD and DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 113">Table 113</a> ) <li>Statistical covariance between DSIG/DABS_Y_TLEP and DSIG/DSIG (<a href="1651136742?version=1&table=Table 114">Table 114</a> ) <li>Statistical covariance between DSIG/DABS_Y_TLEP and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 115">Table 115</a> ) <li>Statistical covariance between DSIG/DABS_Y_TLEP and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 116">Table 116</a> ) <li>Statistical covariance between DSIG/DABS_Y_TLEP and DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 117">Table 117</a> ) <li>Statistical covariance between DSIG/DABS_Y_TLEP and DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 118">Table 118</a> ) <li>Statistical covariance between DSIG/DY_TTBAR and DSIG/DSIG (<a href="1651136742?version=1&table=Table 119">Table 119</a> ) <li>Statistical covariance between DSIG/DY_TTBAR and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 120">Table 120</a> ) <li>Statistical covariance between DSIG/DY_TTBAR and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 121">Table 121</a> ) <li>Statistical covariance between DSIG/DY_TTBAR and DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 122">Table 122</a> ) <li>Statistical covariance between DSIG/DY_TTBAR and DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 123">Table 123</a> ) <li>Statistical covariance between DSIG/DY_TTBAR and DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 124">Table 124</a> ) <li>Statistical covariance between DSIG/DHT_TTBAR and DSIG/DSIG (<a href="1651136742?version=1&table=Table 125">Table 125</a> ) <li>Statistical covariance between DSIG/DHT_TTBAR and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 126">Table 126</a> ) <li>Statistical covariance between DSIG/DHT_TTBAR and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 127">Table 127</a> ) <li>Statistical covariance between DSIG/DHT_TTBAR and DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 128">Table 128</a> ) <li>Statistical covariance between DSIG/DHT_TTBAR and DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 129">Table 129</a> ) <li>Statistical covariance between DSIG/DHT_TTBAR and DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 130">Table 130</a> ) <li>Statistical covariance between DSIG/DHT_TTBAR and DSIG/DY_TTBAR (<a href="1651136742?version=1&table=Table 131">Table 131</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_BLEP and DSIG/DSIG (<a href="1651136742?version=1&table=Table 132">Table 132</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_BLEP and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 133">Table 133</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_BLEP and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 134">Table 134</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_BLEP and DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 135">Table 135</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_BLEP and DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 136">Table 136</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_BLEP and DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 137">Table 137</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_BLEP and DSIG/DY_TTBAR (<a href="1651136742?version=1&table=Table 138">Table 138</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_BLEP and DSIG/DHT_TTBAR (<a href="1651136742?version=1&table=Table 139">Table 139</a> ) <li>Statistical covariance between DSIG/DPT_TTBAR and DSIG/DSIG (<a href="1651136742?version=1&table=Table 140">Table 140</a> ) <li>Statistical covariance between DSIG/DPT_TTBAR and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 141">Table 141</a> ) <li>Statistical covariance between DSIG/DPT_TTBAR and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 142">Table 142</a> ) <li>Statistical covariance between DSIG/DPT_TTBAR and DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 143">Table 143</a> ) <li>Statistical covariance between DSIG/DPT_TTBAR and DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 144">Table 144</a> ) <li>Statistical covariance between DSIG/DPT_TTBAR and DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 145">Table 145</a> ) <li>Statistical covariance between DSIG/DPT_TTBAR and DSIG/DY_TTBAR (<a href="1651136742?version=1&table=Table 146">Table 146</a> ) <li>Statistical covariance between DSIG/DPT_TTBAR and DSIG/DHT_TTBAR (<a href="1651136742?version=1&table=Table 147">Table 147</a> ) <li>Statistical covariance between DSIG/DPT_TTBAR and DSIG/DDPHIOPI_THAD_BLEP (<a href="1651136742?version=1&table=Table 148">Table 148</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_TTBAR and DSIG/DSIG (<a href="1651136742?version=1&table=Table 149">Table 149</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_TTBAR and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 150">Table 150</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_TTBAR and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 151">Table 151</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_TTBAR and DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 152">Table 152</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_TTBAR and DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 153">Table 153</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_TTBAR and DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 154">Table 154</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_TTBAR and DSIG/DY_TTBAR (<a href="1651136742?version=1&table=Table 155">Table 155</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_TTBAR and DSIG/DHT_TTBAR (<a href="1651136742?version=1&table=Table 156">Table 156</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_TTBAR and DSIG/DDPHIOPI_THAD_BLEP (<a href="1651136742?version=1&table=Table 157">Table 157</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_TTBAR and DSIG/DPT_TTBAR (<a href="1651136742?version=1&table=Table 158">Table 158</a> ) <li>Statistical covariance between DSIG/DHT and DSIG/DSIG (<a href="1651136742?version=1&table=Table 159">Table 159</a> ) <li>Statistical covariance between DSIG/DHT and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 160">Table 160</a> ) <li>Statistical covariance between DSIG/DHT and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 161">Table 161</a> ) <li>Statistical covariance between DSIG/DHT and DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 162">Table 162</a> ) <li>Statistical covariance between DSIG/DHT and DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 163">Table 163</a> ) <li>Statistical covariance between DSIG/DHT and DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 164">Table 164</a> ) <li>Statistical covariance between DSIG/DHT and DSIG/DY_TTBAR (<a href="1651136742?version=1&table=Table 165">Table 165</a> ) <li>Statistical covariance between DSIG/DHT and DSIG/DHT_TTBAR (<a href="1651136742?version=1&table=Table 166">Table 166</a> ) <li>Statistical covariance between DSIG/DHT and DSIG/DDPHIOPI_THAD_BLEP (<a href="1651136742?version=1&table=Table 167">Table 167</a> ) <li>Statistical covariance between DSIG/DHT and DSIG/DPT_TTBAR (<a href="1651136742?version=1&table=Table 168">Table 168</a> ) <li>Statistical covariance between DSIG/DHT and DSIG/DDPHIOPI_TTBAR (<a href="1651136742?version=1&table=Table 169">Table 169</a> ) <li>Statistical covariance between DSIG/DNJETS and DSIG/DSIG (<a href="1651136742?version=1&table=Table 170">Table 170</a> ) <li>Statistical covariance between DSIG/DNJETS and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 171">Table 171</a> ) <li>Statistical covariance between DSIG/DNJETS and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 172">Table 172</a> ) <li>Statistical covariance between DSIG/DNJETS and DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 173">Table 173</a> ) <li>Statistical covariance between DSIG/DNJETS and DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 174">Table 174</a> ) <li>Statistical covariance between DSIG/DNJETS and DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 175">Table 175</a> ) <li>Statistical covariance between DSIG/DNJETS and DSIG/DY_TTBAR (<a href="1651136742?version=1&table=Table 176">Table 176</a> ) <li>Statistical covariance between DSIG/DNJETS and DSIG/DHT_TTBAR (<a href="1651136742?version=1&table=Table 177">Table 177</a> ) <li>Statistical covariance between DSIG/DNJETS and DSIG/DDPHIOPI_THAD_BLEP (<a href="1651136742?version=1&table=Table 178">Table 178</a> ) <li>Statistical covariance between DSIG/DNJETS and DSIG/DPT_TTBAR (<a href="1651136742?version=1&table=Table 179">Table 179</a> ) <li>Statistical covariance between DSIG/DNJETS and DSIG/DDPHIOPI_TTBAR (<a href="1651136742?version=1&table=Table 180">Table 180</a> ) <li>Statistical covariance between DSIG/DNJETS and DSIG/DHT (<a href="1651136742?version=1&table=Table 181">Table 181</a> ) <li>Statistical covariance between DSIG/DPT_J1 and DSIG/DSIG (<a href="1651136742?version=1&table=Table 182">Table 182</a> ) <li>Statistical covariance between DSIG/DPT_J1 and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 183">Table 183</a> ) <li>Statistical covariance between DSIG/DPT_J1 and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 184">Table 184</a> ) <li>Statistical covariance between DSIG/DPT_J1 and DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 185">Table 185</a> ) <li>Statistical covariance between DSIG/DPT_J1 and DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 186">Table 186</a> ) <li>Statistical covariance between DSIG/DPT_J1 and DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 187">Table 187</a> ) <li>Statistical covariance between DSIG/DPT_J1 and DSIG/DY_TTBAR (<a href="1651136742?version=1&table=Table 188">Table 188</a> ) <li>Statistical covariance between DSIG/DPT_J1 and DSIG/DHT_TTBAR (<a href="1651136742?version=1&table=Table 189">Table 189</a> ) <li>Statistical covariance between DSIG/DPT_J1 and DSIG/DDPHIOPI_THAD_BLEP (<a href="1651136742?version=1&table=Table 190">Table 190</a> ) <li>Statistical covariance between DSIG/DPT_J1 and DSIG/DPT_TTBAR (<a href="1651136742?version=1&table=Table 191">Table 191</a> ) <li>Statistical covariance between DSIG/DPT_J1 and DSIG/DDPHIOPI_TTBAR (<a href="1651136742?version=1&table=Table 192">Table 192</a> ) <li>Statistical covariance between DSIG/DPT_J1 and DSIG/DHT (<a href="1651136742?version=1&table=Table 193">Table 193</a> ) <li>Statistical covariance between DSIG/DPT_J1 and DSIG/DNJETS (<a href="1651136742?version=1&table=Table 194">Table 194</a> ) <li>Statistical covariance between DSIG/DM_J1_THAD and DSIG/DSIG (<a href="1651136742?version=1&table=Table 195">Table 195</a> ) <li>Statistical covariance between DSIG/DM_J1_THAD and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 196">Table 196</a> ) <li>Statistical covariance between DSIG/DM_J1_THAD and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 197">Table 197</a> ) <li>Statistical covariance between DSIG/DM_J1_THAD and DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 198">Table 198</a> ) <li>Statistical covariance between DSIG/DM_J1_THAD and DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 199">Table 199</a> ) <li>Statistical covariance between DSIG/DM_J1_THAD and DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 200">Table 200</a> ) <li>Statistical covariance between DSIG/DM_J1_THAD and DSIG/DY_TTBAR (<a href="1651136742?version=1&table=Table 201">Table 201</a> ) <li>Statistical covariance between DSIG/DM_J1_THAD and DSIG/DHT_TTBAR (<a href="1651136742?version=1&table=Table 202">Table 202</a> ) <li>Statistical covariance between DSIG/DM_J1_THAD and DSIG/DDPHIOPI_THAD_BLEP (<a href="1651136742?version=1&table=Table 203">Table 203</a> ) <li>Statistical covariance between DSIG/DM_J1_THAD and DSIG/DPT_TTBAR (<a href="1651136742?version=1&table=Table 204">Table 204</a> ) <li>Statistical covariance between DSIG/DM_J1_THAD and DSIG/DDPHIOPI_TTBAR (<a href="1651136742?version=1&table=Table 205">Table 205</a> ) <li>Statistical covariance between DSIG/DM_J1_THAD and DSIG/DHT (<a href="1651136742?version=1&table=Table 206">Table 206</a> ) <li>Statistical covariance between DSIG/DM_J1_THAD and DSIG/DNJETS (<a href="1651136742?version=1&table=Table 207">Table 207</a> ) <li>Statistical covariance between DSIG/DM_J1_THAD and DSIG/DPT_J1 (<a href="1651136742?version=1&table=Table 208">Table 208</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J1 and DSIG/DSIG (<a href="1651136742?version=1&table=Table 209">Table 209</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J1 and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 210">Table 210</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J1 and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 211">Table 211</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J1 and DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 212">Table 212</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J1 and DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 213">Table 213</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J1 and DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 214">Table 214</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J1 and DSIG/DY_TTBAR (<a href="1651136742?version=1&table=Table 215">Table 215</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J1 and DSIG/DHT_TTBAR (<a href="1651136742?version=1&table=Table 216">Table 216</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J1 and DSIG/DDPHIOPI_THAD_BLEP (<a href="1651136742?version=1&table=Table 217">Table 217</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J1 and DSIG/DPT_TTBAR (<a href="1651136742?version=1&table=Table 218">Table 218</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J1 and DSIG/DDPHIOPI_TTBAR (<a href="1651136742?version=1&table=Table 219">Table 219</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J1 and DSIG/DHT (<a href="1651136742?version=1&table=Table 220">Table 220</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J1 and DSIG/DNJETS (<a href="1651136742?version=1&table=Table 221">Table 221</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J1 and DSIG/DPT_J1 (<a href="1651136742?version=1&table=Table 222">Table 222</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J1 and DSIG/DM_J1_THAD (<a href="1651136742?version=1&table=Table 223">Table 223</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DSIG (<a href="1651136742?version=1&table=Table 224">Table 224</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 225">Table 225</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 226">Table 226</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 227">Table 227</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 228">Table 228</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 229">Table 229</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DY_TTBAR (<a href="1651136742?version=1&table=Table 230">Table 230</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DHT_TTBAR (<a href="1651136742?version=1&table=Table 231">Table 231</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DDPHIOPI_THAD_BLEP (<a href="1651136742?version=1&table=Table 232">Table 232</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DPT_TTBAR (<a href="1651136742?version=1&table=Table 233">Table 233</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DDPHIOPI_TTBAR (<a href="1651136742?version=1&table=Table 234">Table 234</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DHT (<a href="1651136742?version=1&table=Table 235">Table 235</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DNJETS (<a href="1651136742?version=1&table=Table 236">Table 236</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DPT_J1 (<a href="1651136742?version=1&table=Table 237">Table 237</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DM_J1_THAD (<a href="1651136742?version=1&table=Table 238">Table 238</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_THAD_J2 and DSIG/DDPHIOPI_THAD_J1 (<a href="1651136742?version=1&table=Table 239">Table 239</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DSIG (<a href="1651136742?version=1&table=Table 240">Table 240</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 241">Table 241</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 242">Table 242</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 243">Table 243</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 244">Table 244</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 245">Table 245</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DY_TTBAR (<a href="1651136742?version=1&table=Table 246">Table 246</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DHT_TTBAR (<a href="1651136742?version=1&table=Table 247">Table 247</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DDPHIOPI_THAD_BLEP (<a href="1651136742?version=1&table=Table 248">Table 248</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DPT_TTBAR (<a href="1651136742?version=1&table=Table 249">Table 249</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DDPHIOPI_TTBAR (<a href="1651136742?version=1&table=Table 250">Table 250</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DHT (<a href="1651136742?version=1&table=Table 251">Table 251</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DNJETS (<a href="1651136742?version=1&table=Table 252">Table 252</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DPT_J1 (<a href="1651136742?version=1&table=Table 253">Table 253</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DM_J1_THAD (<a href="1651136742?version=1&table=Table 254">Table 254</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DDPHIOPI_THAD_J1 (<a href="1651136742?version=1&table=Table 255">Table 255</a> ) <li>Statistical covariance between DSIG/DDPHIOPI_J1_J2 and DSIG/DDPHIOPI_THAD_J2 (<a href="1651136742?version=1&table=Table 256">Table 256</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DSIG (<a href="1651136742?version=1&table=Table 257">Table 257</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DPT_THAD (<a href="1651136742?version=1&table=Table 258">Table 258</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DPT_TLEP (<a href="1651136742?version=1&table=Table 259">Table 259</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DM_TTBAR (<a href="1651136742?version=1&table=Table 260">Table 260</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DABS_Y_THAD (<a href="1651136742?version=1&table=Table 261">Table 261</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DABS_Y_TLEP (<a href="1651136742?version=1&table=Table 262">Table 262</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DY_TTBAR (<a href="1651136742?version=1&table=Table 263">Table 263</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DHT_TTBAR (<a href="1651136742?version=1&table=Table 264">Table 264</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DDPHIOPI_THAD_BLEP (<a href="1651136742?version=1&table=Table 265">Table 265</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DPT_TTBAR (<a href="1651136742?version=1&table=Table 266">Table 266</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DDPHIOPI_TTBAR (<a href="1651136742?version=1&table=Table 267">Table 267</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DHT (<a href="1651136742?version=1&table=Table 268">Table 268</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DNJETS (<a href="1651136742?version=1&table=Table 269">Table 269</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DPT_J1 (<a href="1651136742?version=1&table=Table 270">Table 270</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DM_J1_THAD (<a href="1651136742?version=1&table=Table 271">Table 271</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DDPHIOPI_THAD_J1 (<a href="1651136742?version=1&table=Table 272">Table 272</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DDPHIOPI_THAD_J2 (<a href="1651136742?version=1&table=Table 273">Table 273</a> ) <li>Statistical covariance between DSIG/DPT_J2 and DSIG/DDPHIOPI_J1_J2 (<a href="1651136742?version=1&table=Table 274">Table 274</a> ) </ul><br/> <u>2D:</u><br/> Spectra: <ul> <li>1/SIG*D2SIG/DPT_J1/DNJETS (NJETS = 1) (<a href="1651136742?version=1&table=Table 56">Table 56</a> ) <li>1/SIG*D2SIG/DPT_J1/DNJETS (NJETS = 2) (<a href="1651136742?version=1&table=Table 57">Table 57</a> ) <li>1/SIG*D2SIG/DPT_J1/DNJETS (NJETS $\geq$ 3) (<a href="1651136742?version=1&table=Table 58">Table 58</a> ) <li>D2SIG/DPT_J1/DNJETS (NJETS = 1) (<a href="1651136742?version=1&table=Table 59">Table 59</a> ) <li>D2SIG/DPT_J1/DNJETS (NJETS = 2) (<a href="1651136742?version=1&table=Table 60">Table 60</a> ) <li>D2SIG/DPT_J1/DNJETS (NJETS $\geq$ 3) (<a href="1651136742?version=1&table=Table 61">Table 61</a> ) <li>1/SIG*D2SIG/DPT_J1/DPT_THAD ( 355.0 GeV < PT_THAD < 398.0 GeV) (<a href="1651136742?version=1&table=Table 68">Table 68</a> ) <li>1/SIG*D2SIG/DPT_J1/DPT_THAD ( 398.0 GeV < PT_THAD < 496.0 GeV) (<a href="1651136742?version=1&table=Table 69">Table 69</a> ) <li>1/SIG*D2SIG/DPT_J1/DPT_THAD ( 496.0 GeV < PT_THAD < 2000.0 GeV) (<a href="1651136742?version=1&table=Table 70">Table 70</a> ) <li>D2SIG/DPT_J1/DPT_THAD ( 355.0 GeV < PT_THAD < 398.0 GeV) (<a href="1651136742?version=1&table=Table 71">Table 71</a> ) <li>D2SIG/DPT_J1/DPT_THAD ( 398.0 GeV < PT_THAD < 496.0 GeV) (<a href="1651136742?version=1&table=Table 72">Table 72</a> ) <li>D2SIG/DPT_J1/DPT_THAD ( 496.0 GeV < PT_THAD < 2000.0 GeV) (<a href="1651136742?version=1&table=Table 73">Table 73</a> ) <li>1/SIG*D2SIG/DDPHIOPI_THAD_J1/DPT_THAD ( 355.0 GeV < PT_THAD < 398.0 GeV) (<a href="1651136742?version=1&table=Table 80">Table 80</a> ) <li>1/SIG*D2SIG/DDPHIOPI_THAD_J1/DPT_THAD ( 398.0 GeV < PT_THAD < 496.0 GeV) (<a href="1651136742?version=1&table=Table 81">Table 81</a> ) <li>1/SIG*D2SIG/DDPHIOPI_THAD_J1/DPT_THAD ( 496.0 GeV < PT_THAD < 2000.0 GeV) (<a href="1651136742?version=1&table=Table 82">Table 82</a> ) <li>D2SIG/DDPHIOPI_THAD_J1/DPT_THAD ( 355.0 GeV < PT_THAD < 398.0 GeV) (<a href="1651136742?version=1&table=Table 83">Table 83</a> ) <li>D2SIG/DDPHIOPI_THAD_J1/DPT_THAD ( 398.0 GeV < PT_THAD < 496.0 GeV) (<a href="1651136742?version=1&table=Table 84">Table 84</a> ) <li>D2SIG/DDPHIOPI_THAD_J1/DPT_THAD ( 496.0 GeV < PT_THAD < 2000.0 GeV) (<a href="1651136742?version=1&table=Table 85">Table 85</a> ) <li>1/SIG*D2SIG/DDPHIOPI_THAD_J1/DNJETS (NJETS = 1) (<a href="1651136742?version=1&table=Table 92">Table 92</a> ) <li>1/SIG*D2SIG/DDPHIOPI_THAD_J1/DNJETS (NJETS = 2) (<a href="1651136742?version=1&table=Table 93">Table 93</a> ) <li>1/SIG*D2SIG/DDPHIOPI_THAD_J1/DNJETS (NJETS $\geq$ 3) (<a href="1651136742?version=1&table=Table 94">Table 94</a> ) <li>D2SIG/DDPHIOPI_THAD_J1/DNJETS (NJETS = 1) (<a href="1651136742?version=1&table=Table 95">Table 95</a> ) <li>D2SIG/DDPHIOPI_THAD_J1/DNJETS (NJETS = 2) (<a href="1651136742?version=1&table=Table 96">Table 96</a> ) <li>D2SIG/DDPHIOPI_THAD_J1/DNJETS (NJETS $\geq$ 3) (<a href="1651136742?version=1&table=Table 97">Table 97</a> ) </ul><br/> Statistical covariance matrices: <ul> <li>Statistical covariance matrix for D2SIG/DPT_J1/DNJETS between the 1st and 1st bins of NJETS (<a href="1651136742?version=1&table=Table 62">Table 62</a> ) <li>Statistical covariance matrix for D2SIG/DPT_J1/DNJETS between the 2nd and 1st bins of NJETS (<a href="1651136742?version=1&table=Table 63">Table 63</a> ) <li>Statistical covariance matrix for D2SIG/DPT_J1/DNJETS between the 2nd and 2nd bins of NJETS (<a href="1651136742?version=1&table=Table 64">Table 64</a> ) <li>Statistical covariance matrix for D2SIG/DPT_J1/DNJETS between the 3rd and 1st bins of NJETS (<a href="1651136742?version=1&table=Table 65">Table 65</a> ) <li>Statistical covariance matrix for D2SIG/DPT_J1/DNJETS between the 3rd and 2nd bins of NJETS (<a href="1651136742?version=1&table=Table 66">Table 66</a> ) <li>Statistical covariance matrix for D2SIG/DPT_J1/DNJETS between the 3rd and 3rd bins of NJETS (<a href="1651136742?version=1&table=Table 67">Table 67</a> ) <li>Statistical covariance matrix for D2SIG/DPT_J1/DPT_THAD between the 1st and 1st bins of PT_THAD (<a href="1651136742?version=1&table=Table 74">Table 74</a> ) <li>Statistical covariance matrix for D2SIG/DPT_J1/DPT_THAD between the 2nd and 1st bins of PT_THAD (<a href="1651136742?version=1&table=Table 75">Table 75</a> ) <li>Statistical covariance matrix for D2SIG/DPT_J1/DPT_THAD between the 2nd and 2nd bins of PT_THAD (<a href="1651136742?version=1&table=Table 76">Table 76</a> ) <li>Statistical covariance matrix for D2SIG/DPT_J1/DPT_THAD between the 3rd and 1st bins of PT_THAD (<a href="1651136742?version=1&table=Table 77">Table 77</a> ) <li>Statistical covariance matrix for D2SIG/DPT_J1/DPT_THAD between the 3rd and 2nd bins of PT_THAD (<a href="1651136742?version=1&table=Table 78">Table 78</a> ) <li>Statistical covariance matrix for D2SIG/DPT_J1/DPT_THAD between the 3rd and 3rd bins of PT_THAD (<a href="1651136742?version=1&table=Table 79">Table 79</a> ) <li>Statistical covariance matrix for D2SIG/DDPHIOPI_THAD_J1/DPT_THAD between the 1st and 1st bins of PT_THAD (<a href="1651136742?version=1&table=Table 86">Table 86</a> ) <li>Statistical covariance matrix for D2SIG/DDPHIOPI_THAD_J1/DPT_THAD between the 2nd and 1st bins of PT_THAD (<a href="1651136742?version=1&table=Table 87">Table 87</a> ) <li>Statistical covariance matrix for D2SIG/DDPHIOPI_THAD_J1/DPT_THAD between the 2nd and 2nd bins of PT_THAD (<a href="1651136742?version=1&table=Table 88">Table 88</a> ) <li>Statistical covariance matrix for D2SIG/DDPHIOPI_THAD_J1/DPT_THAD between the 3rd and 1st bins of PT_THAD (<a href="1651136742?version=1&table=Table 89">Table 89</a> ) <li>Statistical covariance matrix for D2SIG/DDPHIOPI_THAD_J1/DPT_THAD between the 3rd and 2nd bins of PT_THAD (<a href="1651136742?version=1&table=Table 90">Table 90</a> ) <li>Statistical covariance matrix for D2SIG/DDPHIOPI_THAD_J1/DPT_THAD between the 3rd and 3rd bins of PT_THAD (<a href="1651136742?version=1&table=Table 91">Table 91</a> ) <li>Statistical covariance matrix for D2SIG/DDPHIOPI_THAD_J1/DNJETS between the 1st and 1st bins of NJETS (<a href="1651136742?version=1&table=Table 98">Table 98</a> ) <li>Statistical covariance matrix for D2SIG/DDPHIOPI_THAD_J1/DNJETS between the 2nd and 1st bins of NJETS (<a href="1651136742?version=1&table=Table 99">Table 99</a> ) <li>Statistical covariance matrix for D2SIG/DDPHIOPI_THAD_J1/DNJETS between the 2nd and 2nd bins of NJETS (<a href="1651136742?version=1&table=Table 100">Table 100</a> ) <li>Statistical covariance matrix for D2SIG/DDPHIOPI_THAD_J1/DNJETS between the 3rd and 1st bins of NJETS (<a href="1651136742?version=1&table=Table 101">Table 101</a> ) <li>Statistical covariance matrix for D2SIG/DDPHIOPI_THAD_J1/DNJETS between the 3rd and 2nd bins of NJETS (<a href="1651136742?version=1&table=Table 102">Table 102</a> ) <li>Statistical covariance matrix for D2SIG/DDPHIOPI_THAD_J1/DNJETS between the 3rd and 3rd bins of NJETS (<a href="1651136742?version=1&table=Table 103">Table 103</a> ) </ul><br/>
Relative differential cross-section as a function of $H_T^{t\bar{t}}$ at particle level in the boosted topology. The measured differential cross-section is compared with the prediction obtained with the Powheg+Pythia8 Monte Carlo generator.
Results are presented from a search for physics beyond the standard model in proton-proton collisions at $\sqrt{s} =$ 13 TeV in channels with two Higgs bosons, each decaying via the process H $\to$$\mathrm{b\bar{b}}$, and large missing transverse momentum. The search uses a data sample corresponding to an integrated luminosity of 137 fb$^{-1}$ collected by the CMS experiment at the CERN LHC. The search is motivated by models of supersymmetry that predict the production of neutralinos, the neutral partners of the electroweak gauge and Higgs bosons. The observed event yields in the signal regions are found to be consistent with the standard model background expectations. The results are interpreted using simplified models of supersymmetry. For the electroweak production of nearly mass-degenerate higgsinos, each of whose decay chains yields a neutralino ($\tilde{\chi}^0_1$) that in turn decays to a massless goldstino and a Higgs boson, $\tilde{\chi}^0_1$ masses in the range 175 to 1025 GeV are excluded at 95% confidence level. For the strong production of gluino pairs decaying via a slightly lighter $\tilde{\chi}^0_2$ to H and a light $\tilde{\chi}^0_1$, gluino masses below 2330 GeV are excluded.
Pre-fit background covariance matrix $\sigma_{xy}$ for the 22 analysis bins, ordered as in Fig. 10.
Pre-fit background correlation matrix $\rho_{xy}$ for the 22 analysis bins, ordered as in Fig. 10.
Efficiency vs $m(\widetilde{\chi}^0_1)$ for SMS model TChiHH-G. The denominator includes all 22 signal regions, and assumes $\mathcal{B}(\mathrm{H}$-->$\mathrm{b}\overline{\mathrm{b}})=100\%$.
A search is presented for single production of a vector-like T quark with charge 2/3 $e$, in the decay channel featuring a top quark and a Z boson, with the top quark decaying hadronically and the Z boson decaying to neutrinos. The search uses data collected by the CMS experiment in proton-proton collisions at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 137 fb$^{-1}$ recorded at the CERN LHC in 2016-2018. The search is sensitive to a T quark mass between 0.6 and 1.8 TeV with decay widths ranging from negligibly small up to 30% of the T quark mass. Reconstruction strategies for the top quark are based on the degree of Lorentz boosting of its final state. At 95% confidence level, the upper limit on the product of the cross section and branching fraction for a T quark of small decay width varies between 15 and 602 fb, depending on its mass. For a T quark with decay widths between 10 and 30% of its mass, this upper limit ranges between 16 and 836 fb. For most of the studied range, the results provide the best limits to date. This is the first search for single T quark production based on the full Run 2 data set of the LHC.
Distribution of the transverse mass $M_T$ reconstructed from the top quark and the missing transverse energy in the merged validation region with 0 forward jets. Data are compared to backgrounds are after the data-driven extraction is performed.
The first collider search for dark matter arising from a strongly coupled hidden sector is presented and uses a data sample corresponding to 138 fb$^{-1}$, collected with the CMS detector at the CERN LHC, at $\sqrt{s} =$ 13 TeV. The hidden sector is hypothesized to couple to the standard model (SM) via a heavy leptophobic Z' mediator produced as a resonance in proton-proton collisions. The mediator decay results in two "semivisible" jets, containing both visible matter and invisible dark matter. The final state therefore includes moderate missing energy aligned with one of the jets, a signature ignored by most dark matter searches. No structure in the dijet transverse mass spectra compatible with the signal is observed. Assuming the Z' has a universal coupling of 0.25 to the SM quarks, an inclusive search, relevant to any model that exhibits this kinematic behavior, excludes mediator masses of 1.5-4.0 TeV at 95% confidence level, depending on the other signal model parameters. To enhance the sensitivity of the search for this particular class of hidden sector models, a boosted decision tree (BDT) is trained using jet substructure variables to distinguish between semivisible jets and SM jets from background processes. When the BDT is employed to identify each jet in the dijet system as semivisible, the mediator mass exclusion increases to 5.1 TeV, for wider ranges of the other signal model parameters. These limits exclude a wide range of strongly coupled hidden sector models for the first time.
The normalized distributions of the BDT input variable $m_{\text{SD}}$ for the two highest $p_{\text{T}}$ jets from the simulated SM backgrounds and several signal models. Each sample's jet $p_{\text{T}}$ distribution is weighted to match a reference distribution (see text). The last bin of each histogram includes the overflow events.
The normalized distributions of the BDT input variable $m_{\text{SD}}$ for the two highest $p_{\text{T}}$ jets from the simulated SM backgrounds and several signal models. Each sample's jet $p_{\text{T}}$ distribution is weighted to match a reference distribution (see text). The last bin of each histogram includes the overflow events.
The normalized distributions of the BDT input variable $m_{\text{SD}}$ for the two highest $p_{\text{T}}$ jets from the simulated SM backgrounds and several signal models. Each sample's jet $p_{\text{T}}$ distribution is weighted to match a reference distribution (see text). The last bin of each histogram includes the overflow events.
A precision measurement of the $Z$ boson production cross-section at $\sqrt{s} = 13$ TeV in the forward region is presented, using $pp$ collision data collected by the LHCb detector, corresponding to an integrated luminosity of 5.1 fb$^{-1}$. The production cross-section is measured using $Z\rightarrow\mu^+\mu^-$ events within the fiducial region defined as pseudorapidity $2.0<\eta<4.5$ and transverse momentum $p_{T}>20$ GeV/$c$ for both muons and dimuon invariant mass $60<M_{\mu\mu}<120$ GeV/$c^2$. The integrated cross-section is determined to be $\sigma (Z \rightarrow \mu^+ \mu^-)$ = 196.4 $\pm$ 0.2 $\pm$ 1.6 $\pm$ 3.9~pb, where the first uncertainty is statistical, the second is systematic, and the third is due to the luminosity determination. The measured results are in agreement with theoretical predictions within uncertainties.
Systematic uncertainties in the double differential cross-sections in interval regions of $y^{Z}$ and $p_{T}^{Z}$, presented in percentage. The contributions from efficiency (Eff), background (BKG), final state radiation (FSR), closure test (Closure), and alignment and calibration (Alignment) are shown.
The associated production of a Higgs boson and a top-quark pair is measured in events characterised by the presence of one or two electrons or muons. The Higgs boson decay into a $b$-quark pair is used. The analysed data, corresponding to an integrated luminosity of 139 fb$^{-1}$, were collected in proton-proton collisions at the Large Hadron Collider between 2015 and 2018 at a centre-of-mass energy of $\sqrt{s}=13$ TeV. The measured signal strength, defined as the ratio of the measured signal yield to that predicted by the Standard Model, is $0.35^{+0.36}_{-0.34}$. This result is compatible with the Standard Model prediction and corresponds to an observed (expected) significance of 1.0 (2.7) standard deviations. The signal strength is also measured differentially in bins of the Higgs boson transverse momentum in the simplified template cross-section framework, including a bin for specially selected boosted Higgs bosons with transverse momentum above 300 GeV.
The ratios $S/B$ (black solid line, referring to the vertical axis on the left) and $S/\sqrt{B}$ (red dashed line, referring to the vertical axis on the right) for each category in the inclusive analysis in the dilepton channel (left) and in the single-lepton channels (right), where $S$ ($B$) is the number of selected signal (background) events predicted by the simulation and normalised to a luminosity of 139 fb$^{-1}$ .
Forum