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| CMS-PAS-SUS-23-014 | ||
| Search for supersymmetry in hadronic and leptonic final states with highly Lorentz-boosted objects at $ \sqrt{s} = $ 13 TeV | ||
| CMS Collaboration | ||
| 20 May 2025 | ||
| Abstract: A search for supersymmetry in final states with highly Lorentz-boosted top quarks, W, Z, Higgs bosons, or leptonic jets is presented. The search is based on proton-proton collision data at a center-of-mass energy of $ \sqrt{s}= $ 13 TeV, collected by the CMS experiment at CERN LHC during 2016, 2017, and 2018, corresponding to an integrated luminosity of 138 fb$ ^{-1} $. Candidates for boosted top quark and W, Z, or Higgs boson decays are identified using jet substructure techniques. In addition, leptonic decays of boosted standard model or supersymmetry particles are explored by identifying boosted leptonic jets. The analysis is performed in channels with zero leptons, an isolated lepton, or a nonisolated lepton. Signal events are discriminated from standard model background events using the razor kinematic variables, which characterize signals with massive particles decaying to visible particles and massive invisible particles as a peak above the smoothly falling background. Standard model backgrounds are estimated by deriving data over simulation correction factors in background-enriched control regions. Data are consistent with standard model expectations. The results are interpreted using several simplified supersymmetry models with pair production of gluinos, top squarks, bottom squarks, and electroweakinos, featuring both $ R $-parity-conserving and $ R $-parity-violating decay chains. | ||
| Links: CDS record (PDF) ; CADI line (restricted) ; | ||
| Figures | |
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Figure 1:
$ R $-parity conserving signal models considered in this analysis: Gluino pair production T5qqqqWH (top left), T5bbbbZH (top right) and T5ttcc (middle left); top squark pair production T6ttZH (middle right); chargino-neutralino production TChiWZ (bottom left) and chargino-chargino production TChiWW (bottom right). |
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Figure 1-a:
$ R $-parity conserving signal models considered in this analysis: Gluino pair production T5qqqqWH (top left), T5bbbbZH (top right) and T5ttcc (middle left); top squark pair production T6ttZH (middle right); chargino-neutralino production TChiWZ (bottom left) and chargino-chargino production TChiWW (bottom right). |
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Figure 1-b:
$ R $-parity conserving signal models considered in this analysis: Gluino pair production T5qqqqWH (top left), T5bbbbZH (top right) and T5ttcc (middle left); top squark pair production T6ttZH (middle right); chargino-neutralino production TChiWZ (bottom left) and chargino-chargino production TChiWW (bottom right). |
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Figure 1-c:
$ R $-parity conserving signal models considered in this analysis: Gluino pair production T5qqqqWH (top left), T5bbbbZH (top right) and T5ttcc (middle left); top squark pair production T6ttZH (middle right); chargino-neutralino production TChiWZ (bottom left) and chargino-chargino production TChiWW (bottom right). |
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Figure 1-d:
$ R $-parity conserving signal models considered in this analysis: Gluino pair production T5qqqqWH (top left), T5bbbbZH (top right) and T5ttcc (middle left); top squark pair production T6ttZH (middle right); chargino-neutralino production TChiWZ (bottom left) and chargino-chargino production TChiWW (bottom right). |
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Figure 1-e:
$ R $-parity conserving signal models considered in this analysis: Gluino pair production T5qqqqWH (top left), T5bbbbZH (top right) and T5ttcc (middle left); top squark pair production T6ttZH (middle right); chargino-neutralino production TChiWZ (bottom left) and chargino-chargino production TChiWW (bottom right). |
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Figure 1-f:
$ R $-parity conserving signal models considered in this analysis: Gluino pair production T5qqqqWH (top left), T5bbbbZH (top right) and T5ttcc (middle left); top squark pair production T6ttZH (middle right); chargino-neutralino production TChiWZ (bottom left) and chargino-chargino production TChiWW (bottom right). |
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Figure 2:
$ R $-parity violating signal models considered in this analysis. Bottom squark pair production decaying to $ R $-parity violating neutralino, R2bbqqlv (left); gluino pair production decaying to $ R $-parity violating top squark, R5ttbl (right). |
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Figure 2-a:
$ R $-parity violating signal models considered in this analysis. Bottom squark pair production decaying to $ R $-parity violating neutralino, R2bbqqlv (left); gluino pair production decaying to $ R $-parity violating top squark, R5ttbl (right). |
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Figure 2-b:
$ R $-parity violating signal models considered in this analysis. Bottom squark pair production decaying to $ R $-parity violating neutralino, R2bbqqlv (left); gluino pair production decaying to $ R $-parity violating top squark, R5ttbl (right). |
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Figure 3:
Data and estimated SM background distributions for $ (M_\mathrm{R}-800)\times(R^2-0.08) $ for VRs no 1-7 defined in Table 5, to validate the CFs in cases with explicit boosted object tagging: QV (top left), Qtop (top right), TV (middle left), Ttop (middle center), TH (middle right),.WV (bottom left), and Wtop (bottom right). CFs derived for the various background processes are applied event-by-event. Distributions are shown for the complete 2016-2018 data taking period, and include systematic uncertainties. |
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Figure 3-a:
Data and estimated SM background distributions for $ (M_\mathrm{R}-800)\times(R^2-0.08) $ for VRs no 1-7 defined in Table 5, to validate the CFs in cases with explicit boosted object tagging: QV (top left), Qtop (top right), TV (middle left), Ttop (middle center), TH (middle right),.WV (bottom left), and Wtop (bottom right). CFs derived for the various background processes are applied event-by-event. Distributions are shown for the complete 2016-2018 data taking period, and include systematic uncertainties. |
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Figure 3-b:
Data and estimated SM background distributions for $ (M_\mathrm{R}-800)\times(R^2-0.08) $ for VRs no 1-7 defined in Table 5, to validate the CFs in cases with explicit boosted object tagging: QV (top left), Qtop (top right), TV (middle left), Ttop (middle center), TH (middle right),.WV (bottom left), and Wtop (bottom right). CFs derived for the various background processes are applied event-by-event. Distributions are shown for the complete 2016-2018 data taking period, and include systematic uncertainties. |
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Figure 3-c:
Data and estimated SM background distributions for $ (M_\mathrm{R}-800)\times(R^2-0.08) $ for VRs no 1-7 defined in Table 5, to validate the CFs in cases with explicit boosted object tagging: QV (top left), Qtop (top right), TV (middle left), Ttop (middle center), TH (middle right),.WV (bottom left), and Wtop (bottom right). CFs derived for the various background processes are applied event-by-event. Distributions are shown for the complete 2016-2018 data taking period, and include systematic uncertainties. |
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Figure 3-d:
Data and estimated SM background distributions for $ (M_\mathrm{R}-800)\times(R^2-0.08) $ for VRs no 1-7 defined in Table 5, to validate the CFs in cases with explicit boosted object tagging: QV (top left), Qtop (top right), TV (middle left), Ttop (middle center), TH (middle right),.WV (bottom left), and Wtop (bottom right). CFs derived for the various background processes are applied event-by-event. Distributions are shown for the complete 2016-2018 data taking period, and include systematic uncertainties. |
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Figure 3-e:
Data and estimated SM background distributions for $ (M_\mathrm{R}-800)\times(R^2-0.08) $ for VRs no 1-7 defined in Table 5, to validate the CFs in cases with explicit boosted object tagging: QV (top left), Qtop (top right), TV (middle left), Ttop (middle center), TH (middle right),.WV (bottom left), and Wtop (bottom right). CFs derived for the various background processes are applied event-by-event. Distributions are shown for the complete 2016-2018 data taking period, and include systematic uncertainties. |
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Figure 3-f:
Data and estimated SM background distributions for $ (M_\mathrm{R}-800)\times(R^2-0.08) $ for VRs no 1-7 defined in Table 5, to validate the CFs in cases with explicit boosted object tagging: QV (top left), Qtop (top right), TV (middle left), Ttop (middle center), TH (middle right),.WV (bottom left), and Wtop (bottom right). CFs derived for the various background processes are applied event-by-event. Distributions are shown for the complete 2016-2018 data taking period, and include systematic uncertainties. |
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Figure 3-g:
Data and estimated SM background distributions for $ (M_\mathrm{R}-800)\times(R^2-0.08) $ for VRs no 1-7 defined in Table 5, to validate the CFs in cases with explicit boosted object tagging: QV (top left), Qtop (top right), TV (middle left), Ttop (middle center), TH (middle right),.WV (bottom left), and Wtop (bottom right). CFs derived for the various background processes are applied event-by-event. Distributions are shown for the complete 2016-2018 data taking period, and include systematic uncertainties. |
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Figure 4:
Data and estimated SM background distributions for $ (M_\mathrm{R}-800)\times(R^2-0.08) $ for VRs 8, 9, 10 defined in Table 5, to test CF validity under different kinematic conditions: Q' (left), S'V (center), and S'Top (right). CFs derived for the various background processes are applied event-by-event. Distributions are shown for the complete 2016-2018 data taking period, and include systematic uncertainties. |
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Figure 4-a:
Data and estimated SM background distributions for $ (M_\mathrm{R}-800)\times(R^2-0.08) $ for VRs 8, 9, 10 defined in Table 5, to test CF validity under different kinematic conditions: Q' (left), S'V (center), and S'Top (right). CFs derived for the various background processes are applied event-by-event. Distributions are shown for the complete 2016-2018 data taking period, and include systematic uncertainties. |
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Figure 4-b:
Data and estimated SM background distributions for $ (M_\mathrm{R}-800)\times(R^2-0.08) $ for VRs 8, 9, 10 defined in Table 5, to test CF validity under different kinematic conditions: Q' (left), S'V (center), and S'Top (right). CFs derived for the various background processes are applied event-by-event. Distributions are shown for the complete 2016-2018 data taking period, and include systematic uncertainties. |
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Figure 4-c:
Data and estimated SM background distributions for $ (M_\mathrm{R}-800)\times(R^2-0.08) $ for VRs 8, 9, 10 defined in Table 5, to test CF validity under different kinematic conditions: Q' (left), S'V (center), and S'Top (right). CFs derived for the various background processes are applied event-by-event. Distributions are shown for the complete 2016-2018 data taking period, and include systematic uncertainties. |
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Figure 5:
Data and estimated SM background distributions for $ (M_\mathrm{R}-800)\times(R^2-0.08) $ in VRs no 11, 12 defined in Table 5, to test the validity of CRs in cases with reverted $ \Delta\phi* $ or $ m_\mathrm{T} $, for the nonisolated leptonic regions: low $ \delta\phi^* $ (left), and low $ M_\mathrm{T} $ (right). CFs derived for the various background processes are applied event-by-event. Distributions are shown for the complete 2016-2018 data taking period, and include systematic uncertainties. |
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Figure 5-a:
Data and estimated SM background distributions for $ (M_\mathrm{R}-800)\times(R^2-0.08) $ in VRs no 11, 12 defined in Table 5, to test the validity of CRs in cases with reverted $ \Delta\phi* $ or $ m_\mathrm{T} $, for the nonisolated leptonic regions: low $ \delta\phi^* $ (left), and low $ M_\mathrm{T} $ (right). CFs derived for the various background processes are applied event-by-event. Distributions are shown for the complete 2016-2018 data taking period, and include systematic uncertainties. |
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Figure 5-b:
Data and estimated SM background distributions for $ (M_\mathrm{R}-800)\times(R^2-0.08) $ in VRs no 11, 12 defined in Table 5, to test the validity of CRs in cases with reverted $ \Delta\phi* $ or $ m_\mathrm{T} $, for the nonisolated leptonic regions: low $ \delta\phi^* $ (left), and low $ M_\mathrm{T} $ (right). CFs derived for the various background processes are applied event-by-event. Distributions are shown for the complete 2016-2018 data taking period, and include systematic uncertainties. |
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Figure 6:
The $ (M_\mathrm{R}-800) $x$ (R^2-0.08) $ distribution observed in data is shown along with the background prediction (post-fit) obtained for the SRs. Data/background prediction ratio is shown in the lower panels, where the gray band is the total (systematic and statistical) uncertainty on the background prediction. |
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Figure 7:
Observed 95%CL upper limits on the signal cross sections using asymptotic $ \text{CL}_\text{s} $ versus mother sparticle and lightest supersymmetric particle (lightest neutralino) masses for the $ R $-parity conserving models T5ttcc (top left), T5qqqqWH (top right), T5bbbbZH (middle left), T6ttZH (middle right), TChiWZ (bottom left), and TChiWW (bottom right). Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties. |
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Figure 7-a:
Observed 95%CL upper limits on the signal cross sections using asymptotic $ \text{CL}_\text{s} $ versus mother sparticle and lightest supersymmetric particle (lightest neutralino) masses for the $ R $-parity conserving models T5ttcc (top left), T5qqqqWH (top right), T5bbbbZH (middle left), T6ttZH (middle right), TChiWZ (bottom left), and TChiWW (bottom right). Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties. |
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Figure 7-b:
Observed 95%CL upper limits on the signal cross sections using asymptotic $ \text{CL}_\text{s} $ versus mother sparticle and lightest supersymmetric particle (lightest neutralino) masses for the $ R $-parity conserving models T5ttcc (top left), T5qqqqWH (top right), T5bbbbZH (middle left), T6ttZH (middle right), TChiWZ (bottom left), and TChiWW (bottom right). Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties. |
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Figure 7-c:
Observed 95%CL upper limits on the signal cross sections using asymptotic $ \text{CL}_\text{s} $ versus mother sparticle and lightest supersymmetric particle (lightest neutralino) masses for the $ R $-parity conserving models T5ttcc (top left), T5qqqqWH (top right), T5bbbbZH (middle left), T6ttZH (middle right), TChiWZ (bottom left), and TChiWW (bottom right). Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties. |
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Figure 7-d:
Observed 95%CL upper limits on the signal cross sections using asymptotic $ \text{CL}_\text{s} $ versus mother sparticle and lightest supersymmetric particle (lightest neutralino) masses for the $ R $-parity conserving models T5ttcc (top left), T5qqqqWH (top right), T5bbbbZH (middle left), T6ttZH (middle right), TChiWZ (bottom left), and TChiWW (bottom right). Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties. |
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Figure 7-e:
Observed 95%CL upper limits on the signal cross sections using asymptotic $ \text{CL}_\text{s} $ versus mother sparticle and lightest supersymmetric particle (lightest neutralino) masses for the $ R $-parity conserving models T5ttcc (top left), T5qqqqWH (top right), T5bbbbZH (middle left), T6ttZH (middle right), TChiWZ (bottom left), and TChiWW (bottom right). Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties. |
png pdf |
Figure 7-f:
Observed 95%CL upper limits on the signal cross sections using asymptotic $ \text{CL}_\text{s} $ versus mother sparticle and lightest supersymmetric particle (lightest neutralino) masses for the $ R $-parity conserving models T5ttcc (top left), T5qqqqWH (top right), T5bbbbZH (middle left), T6ttZH (middle right), TChiWZ (bottom left), and TChiWW (bottom right). Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties. |
png pdf |
Figure 8:
Observed 95%CL upper limits on the signal cross sections using asymptotic $ \text{CL}_\text{s} $ versus mother sparticle and lightest supersymmetric particle masses for the $ R $-parity violating models R2bbqqlv (left), and R5ttbl (right). Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties. |
png pdf |
Figure 8-a:
Observed 95%CL upper limits on the signal cross sections using asymptotic $ \text{CL}_\text{s} $ versus mother sparticle and lightest supersymmetric particle masses for the $ R $-parity violating models R2bbqqlv (left), and R5ttbl (right). Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties. |
png pdf |
Figure 8-b:
Observed 95%CL upper limits on the signal cross sections using asymptotic $ \text{CL}_\text{s} $ versus mother sparticle and lightest supersymmetric particle masses for the $ R $-parity violating models R2bbqqlv (left), and R5ttbl (right). Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties. |
| Tables | |
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Table 1:
Event preselection and SR categories |
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Table 2:
SRs and their selection criteria |
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Table 3:
SRs and their binning |
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Table 4:
CRs used for background estimation. The region names W4Z and T4Z are abbreviations for WforZ and TforZ. $ \mathrm{b}_l $, $ \mathrm{b}_m $: b-quark jets identified with loose and medium working points. CRs 9-14 have additional selection criteria, corresponding to the $ ' $, $ '' $, and $ ''' $ signs next to the CR name: $ ' $: Photon added to $ {\vec p}_{\mathrm{T}}^{\kern1pt\text{miss}} $, $ '' $: Leptons added to $ {\vec p}_{\mathrm{T}}^{\kern1pt\text{miss}} $ and $ |\text{mass}(\ell\ell) - \text{mass}(\mathrm{Z})| < $ 10 GeV, $ ''' $: Lepton added to $ {\vec p}_{\mathrm{T}}^{\kern1pt\text{miss}} $. |
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Table 5:
Event selection criteria defining the VRs for the CFs used in background estimation. $ \mathrm{b}_l $, $ \mathrm{b}_m $: b-quark jets identified with loose and medium working points. |
| Summary |
| A search for supersymmetry in hadronic and leptonic final states is presented, targeting events containing at least one boosted hadronic top quark, W, Z, or Higgs boson, or a boosted leptonic jet. The analysis is based on proton-proton collision data at $ \sqrt{s} = $ 13 TeV, corresponding to an integrated luminosity of 138 fb$ ^{-1} $, collected by the CMS experiment. Events are selected using the razor kinematic variables $ M_\mathrm{R} $ and $ R^2 $, and are categorized according to lepton multiplicity, jet and b-tagged jet multiplicities, and the number and type of tagged boosted objects. Standard model backgrounds are estimated using a data-driven method based on control regions, with correction factors derived from simultaneous fits and applied to the background simulation in the signal regions. The background modeling is validated in regions with kinematic properties similar to those of the signal regions. No significant deviations from the standard model expectations are observed. Upper limits at 95% confidence level are set on the production cross sections of various supersymmetric particle pairs. The analysis excludes gluino masses up to 2.35 TeV and top squark masses up to 1.45 TeV in representative $ R $-parity-conserving models. In $ R $-parity-violating scenarios, bottom squark masses are excluded up to 0.97 TeV and gluino masses up to 1.82 TeV. Electroweak production of nearly mass-degenerate charginos and neutralinos is excluded up to 1.05 TeV, depending on the decay topology. |
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