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| CMS-PAS-SUS-21-006 | ||
| Search for supersymmetry in final states with disappearing tracks in proton-proton collisions at 13 TeV | ||
| CMS Collaboration | ||
| 24 May 2023 | ||
| Abstract: A search is presented for charged, long-lived supersymmetric particles in final states with one or more disappearing tracks. The search is based on a sample of proton-proton collisions at a center-of-mass energy of 13 TeV collected with the CMS detector at the CERN LHC between 2016 and 2018, corresponding to an integrated luminosity of 137 fb$ ^{-1} $. The search is performed over final states characterized by varying numbers of jets, b-tagged jets, electrons, and muons. The transverse length of signal-candidate tracks is used to characterize the lifetimes of wino-like and higgsino-like charginos produced in the context of the minimal supersymmetric standard model. The d$ E/ $d$ x $ energy loss of candidate tracks is used to increase the sensitivity to charginos with a large mass due to their typically small Lorentz boost in the CMS detector. The observed results are found to be statistically consistent with the background-only hypothesis. Limits on the pair production cross section of gluinos and squarks are presented in the framework of simplified models of supersymmetric particle production and decay, and for electroweakino production based on a model of higgsino dark matter. | ||
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Links:
CDS record (PDF) ;
CADI line (restricted) ;
These preliminary results are superseded in this paper, Submitted to PRD. The superseded preliminary plots can be found here. |
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| Figures | |
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Figure 1:
Representative production diagrams for the simplified models considered in this analysis. From left to right: T6btLL, T6tbLL, and T5btbtLL (top); and TChiWZ, TChiWW, and TChiW (bottom). |
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Figure 1-a:
Representative production diagrams for the simplified models considered in this analysis. From left to right: T6btLL, T6tbLL, and T5btbtLL (top); and TChiWZ, TChiWW, and TChiW (bottom). |
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Figure 1-b:
Representative production diagrams for the simplified models considered in this analysis. From left to right: T6btLL, T6tbLL, and T5btbtLL (top); and TChiWZ, TChiWW, and TChiW (bottom). |
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Figure 1-c:
Representative production diagrams for the simplified models considered in this analysis. From left to right: T6btLL, T6tbLL, and T5btbtLL (top); and TChiWZ, TChiWW, and TChiW (bottom). |
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Figure 1-d:
Representative production diagrams for the simplified models considered in this analysis. From left to right: T6btLL, T6tbLL, and T5btbtLL (top); and TChiWZ, TChiWW, and TChiW (bottom). |
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Figure 1-e:
Representative production diagrams for the simplified models considered in this analysis. From left to right: T6btLL, T6tbLL, and T5btbtLL (top); and TChiWZ, TChiWW, and TChiW (bottom). |
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Figure 1-f:
Representative production diagrams for the simplified models considered in this analysis. From left to right: T6btLL, T6tbLL, and T5btbtLL (top); and TChiWZ, TChiWW, and TChiW (bottom). |
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Figure 2:
Comparison of the $ p_{\mathrm{T}} $ distributions in the $ \kappa^{\text{low}}_{\text{high}} $ DY control region for the data and background prediction for long (top) and short (middle) showering tracks, and in the $ \kappa^{\mu\,\text{veto}}_{\mu\,\text{match}} $ DY control region for long muon tracks (bottom). The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the sideband region counts, added in quadrature with the systematic uncertainties. |
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Figure 2-a:
Comparison of the $ p_{\mathrm{T}} $ distributions in the $ \kappa^{\text{low}}_{\text{high}} $ DY control region for the data and background prediction for long (top) and short (middle) showering tracks, and in the $ \kappa^{\mu\,\text{veto}}_{\mu\,\text{match}} $ DY control region for long muon tracks (bottom). The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the sideband region counts, added in quadrature with the systematic uncertainties. |
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Figure 2-b:
Comparison of the $ p_{\mathrm{T}} $ distributions in the $ \kappa^{\text{low}}_{\text{high}} $ DY control region for the data and background prediction for long (top) and short (middle) showering tracks, and in the $ \kappa^{\mu\,\text{veto}}_{\mu\,\text{match}} $ DY control region for long muon tracks (bottom). The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the sideband region counts, added in quadrature with the systematic uncertainties. |
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Figure 2-c:
Comparison of the $ p_{\mathrm{T}} $ distributions in the $ \kappa^{\text{low}}_{\text{high}} $ DY control region for the data and background prediction for long (top) and short (middle) showering tracks, and in the $ \kappa^{\mu\,\text{veto}}_{\mu\,\text{match}} $ DY control region for long muon tracks (bottom). The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the sideband region counts, added in quadrature with the systematic uncertainties. |
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Figure 2-d:
Comparison of the $ p_{\mathrm{T}} $ distributions in the $ \kappa^{\text{low}}_{\text{high}} $ DY control region for the data and background prediction for long (top) and short (middle) showering tracks, and in the $ \kappa^{\mu\,\text{veto}}_{\mu\,\text{match}} $ DY control region for long muon tracks (bottom). The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the sideband region counts, added in quadrature with the systematic uncertainties. |
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Figure 2-e:
Comparison of the $ p_{\mathrm{T}} $ distributions in the $ \kappa^{\text{low}}_{\text{high}} $ DY control region for the data and background prediction for long (top) and short (middle) showering tracks, and in the $ \kappa^{\mu\,\text{veto}}_{\mu\,\text{match}} $ DY control region for long muon tracks (bottom). The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the sideband region counts, added in quadrature with the systematic uncertainties. |
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Figure 2-f:
Comparison of the $ p_{\mathrm{T}} $ distributions in the $ \kappa^{\text{low}}_{\text{high}} $ DY control region for the data and background prediction for long (top) and short (middle) showering tracks, and in the $ \kappa^{\mu\,\text{veto}}_{\mu\,\text{match}} $ DY control region for long muon tracks (bottom). The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the sideband region counts, added in quadrature with the systematic uncertainties. |
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Figure 3:
Comparison of the $ p_{\mathrm{T}} $ distributions in the high-$ m_{\mathrm{T}} $ validation control regions for the data and background prediction for long (top) and short (middle) showering tracks, and for long muon tracks (bottom). The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the sideband region counts, added in quadrature with the systematic uncertainties. |
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Figure 3-a:
Comparison of the $ p_{\mathrm{T}} $ distributions in the high-$ m_{\mathrm{T}} $ validation control regions for the data and background prediction for long (top) and short (middle) showering tracks, and for long muon tracks (bottom). The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the sideband region counts, added in quadrature with the systematic uncertainties. |
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Figure 3-b:
Comparison of the $ p_{\mathrm{T}} $ distributions in the high-$ m_{\mathrm{T}} $ validation control regions for the data and background prediction for long (top) and short (middle) showering tracks, and for long muon tracks (bottom). The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the sideband region counts, added in quadrature with the systematic uncertainties. |
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Figure 3-c:
Comparison of the $ p_{\mathrm{T}} $ distributions in the high-$ m_{\mathrm{T}} $ validation control regions for the data and background prediction for long (top) and short (middle) showering tracks, and for long muon tracks (bottom). The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the sideband region counts, added in quadrature with the systematic uncertainties. |
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Figure 3-d:
Comparison of the $ p_{\mathrm{T}} $ distributions in the high-$ m_{\mathrm{T}} $ validation control regions for the data and background prediction for long (top) and short (middle) showering tracks, and for long muon tracks (bottom). The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the sideband region counts, added in quadrature with the systematic uncertainties. |
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Figure 3-e:
Comparison of the $ p_{\mathrm{T}} $ distributions in the high-$ m_{\mathrm{T}} $ validation control regions for the data and background prediction for long (top) and short (middle) showering tracks, and for long muon tracks (bottom). The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the sideband region counts, added in quadrature with the systematic uncertainties. |
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Figure 3-f:
Comparison of the $ p_{\mathrm{T}} $ distributions in the high-$ m_{\mathrm{T}} $ validation control regions for the data and background prediction for long (top) and short (middle) showering tracks, and for long muon tracks (bottom). The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the sideband region counts, added in quadrature with the systematic uncertainties. |
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Figure 4:
Comparison of the $ p_{\mathrm{T}} $ distributions in the $ \theta^{\text{high}}_{\text{low}} $ QCD-enhanced control region for the data and background prediction for long (top) and short (bottom) tracks. The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 4-a:
Comparison of the $ p_{\mathrm{T}} $ distributions in the $ \theta^{\text{high}}_{\text{low}} $ QCD-enhanced control region for the data and background prediction for long (top) and short (bottom) tracks. The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 4-b:
Comparison of the $ p_{\mathrm{T}} $ distributions in the $ \theta^{\text{high}}_{\text{low}} $ QCD-enhanced control region for the data and background prediction for long (top) and short (bottom) tracks. The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 4-c:
Comparison of the $ p_{\mathrm{T}} $ distributions in the $ \theta^{\text{high}}_{\text{low}} $ QCD-enhanced control region for the data and background prediction for long (top) and short (bottom) tracks. The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 4-d:
Comparison of the $ p_{\mathrm{T}} $ distributions in the $ \theta^{\text{high}}_{\text{low}} $ QCD-enhanced control region for the data and background prediction for long (top) and short (bottom) tracks. The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 5:
Comparison of the $ p_{\mathrm{T}} $ distributions in events with one lepton and one DTk, in a control region with $ m_{\mathrm{T}} < $ 110 GeV and $ m_{\text{DTk},\ell} \not\in $ [65,110] GeV, for the data and background prediction for long (top) and short (bottom) tracks. The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 5-a:
Comparison of the $ p_{\mathrm{T}} $ distributions in events with one lepton and one DTk, in a control region with $ m_{\mathrm{T}} < $ 110 GeV and $ m_{\text{DTk},\ell} \not\in $ [65,110] GeV, for the data and background prediction for long (top) and short (bottom) tracks. The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 5-b:
Comparison of the $ p_{\mathrm{T}} $ distributions in events with one lepton and one DTk, in a control region with $ m_{\mathrm{T}} < $ 110 GeV and $ m_{\text{DTk},\ell} \not\in $ [65,110] GeV, for the data and background prediction for long (top) and short (bottom) tracks. The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 5-c:
Comparison of the $ p_{\mathrm{T}} $ distributions in events with one lepton and one DTk, in a control region with $ m_{\mathrm{T}} < $ 110 GeV and $ m_{\text{DTk},\ell} \not\in $ [65,110] GeV, for the data and background prediction for long (top) and short (bottom) tracks. The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 5-d:
Comparison of the $ p_{\mathrm{T}} $ distributions in events with one lepton and one DTk, in a control region with $ m_{\mathrm{T}} < $ 110 GeV and $ m_{\text{DTk},\ell} \not\in $ [65,110] GeV, for the data and background prediction for long (top) and short (bottom) tracks. The left (right) column corresponds to the Phase 0 (Phase 1) detector. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 6:
Comparison in the baseline region for the long-track DTk category between the data and predicted SM background for the $ N_{\text{jet}} $ (top left), $ N_{\mathrm{b}\text{-jet}} $ (top right), hard $ p_{\mathrm{T}}^\text{miss} $ (middle left), $ N_{\mathrm{e}} $ (middle right), $ N_{\mu} $ (bottom left), and $ m_{\text{DTk;\,\mathrm{d} E/\mathrm{d} x}} $ (bottom right) distributions. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 6-a:
Comparison in the baseline region for the long-track DTk category between the data and predicted SM background for the $ N_{\text{jet}} $ (top left), $ N_{\mathrm{b}\text{-jet}} $ (top right), hard $ p_{\mathrm{T}}^\text{miss} $ (middle left), $ N_{\mathrm{e}} $ (middle right), $ N_{\mu} $ (bottom left), and $ m_{\text{DTk;\,\mathrm{d} E/\mathrm{d} x}} $ (bottom right) distributions. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 6-b:
Comparison in the baseline region for the long-track DTk category between the data and predicted SM background for the $ N_{\text{jet}} $ (top left), $ N_{\mathrm{b}\text{-jet}} $ (top right), hard $ p_{\mathrm{T}}^\text{miss} $ (middle left), $ N_{\mathrm{e}} $ (middle right), $ N_{\mu} $ (bottom left), and $ m_{\text{DTk;\,\mathrm{d} E/\mathrm{d} x}} $ (bottom right) distributions. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 6-c:
Comparison in the baseline region for the long-track DTk category between the data and predicted SM background for the $ N_{\text{jet}} $ (top left), $ N_{\mathrm{b}\text{-jet}} $ (top right), hard $ p_{\mathrm{T}}^\text{miss} $ (middle left), $ N_{\mathrm{e}} $ (middle right), $ N_{\mu} $ (bottom left), and $ m_{\text{DTk;\,\mathrm{d} E/\mathrm{d} x}} $ (bottom right) distributions. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 6-d:
Comparison in the baseline region for the long-track DTk category between the data and predicted SM background for the $ N_{\text{jet}} $ (top left), $ N_{\mathrm{b}\text{-jet}} $ (top right), hard $ p_{\mathrm{T}}^\text{miss} $ (middle left), $ N_{\mathrm{e}} $ (middle right), $ N_{\mu} $ (bottom left), and $ m_{\text{DTk;\,\mathrm{d} E/\mathrm{d} x}} $ (bottom right) distributions. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 6-e:
Comparison in the baseline region for the long-track DTk category between the data and predicted SM background for the $ N_{\text{jet}} $ (top left), $ N_{\mathrm{b}\text{-jet}} $ (top right), hard $ p_{\mathrm{T}}^\text{miss} $ (middle left), $ N_{\mathrm{e}} $ (middle right), $ N_{\mu} $ (bottom left), and $ m_{\text{DTk;\,\mathrm{d} E/\mathrm{d} x}} $ (bottom right) distributions. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 6-f:
Comparison in the baseline region for the long-track DTk category between the data and predicted SM background for the $ N_{\text{jet}} $ (top left), $ N_{\mathrm{b}\text{-jet}} $ (top right), hard $ p_{\mathrm{T}}^\text{miss} $ (middle left), $ N_{\mathrm{e}} $ (middle right), $ N_{\mu} $ (bottom left), and $ m_{\text{DTk;\,\mathrm{d} E/\mathrm{d} x}} $ (bottom right) distributions. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 7:
Comparison in the baseline region for the short-track DTk category between the data and predicted SM background for the $ N_{\text{jet}} $ (top left), $ N_{\mathrm{b}\text{-jet}} $ (top right), $ p_{\mathrm{T}}^\text{miss} $ (middle left), $ N_{\mathrm{e}} $ (middle right), $ N_{\mu} $ (bottom left), and $ m_{\text{DTk;\,\mathrm{d} E/\mathrm{d} x}} $ (bottom right) distributions. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 7-a:
Comparison in the baseline region for the short-track DTk category between the data and predicted SM background for the $ N_{\text{jet}} $ (top left), $ N_{\mathrm{b}\text{-jet}} $ (top right), $ p_{\mathrm{T}}^\text{miss} $ (middle left), $ N_{\mathrm{e}} $ (middle right), $ N_{\mu} $ (bottom left), and $ m_{\text{DTk;\,\mathrm{d} E/\mathrm{d} x}} $ (bottom right) distributions. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 7-b:
Comparison in the baseline region for the short-track DTk category between the data and predicted SM background for the $ N_{\text{jet}} $ (top left), $ N_{\mathrm{b}\text{-jet}} $ (top right), $ p_{\mathrm{T}}^\text{miss} $ (middle left), $ N_{\mathrm{e}} $ (middle right), $ N_{\mu} $ (bottom left), and $ m_{\text{DTk;\,\mathrm{d} E/\mathrm{d} x}} $ (bottom right) distributions. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 7-c:
Comparison in the baseline region for the short-track DTk category between the data and predicted SM background for the $ N_{\text{jet}} $ (top left), $ N_{\mathrm{b}\text{-jet}} $ (top right), $ p_{\mathrm{T}}^\text{miss} $ (middle left), $ N_{\mathrm{e}} $ (middle right), $ N_{\mu} $ (bottom left), and $ m_{\text{DTk;\,\mathrm{d} E/\mathrm{d} x}} $ (bottom right) distributions. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 7-d:
Comparison in the baseline region for the short-track DTk category between the data and predicted SM background for the $ N_{\text{jet}} $ (top left), $ N_{\mathrm{b}\text{-jet}} $ (top right), $ p_{\mathrm{T}}^\text{miss} $ (middle left), $ N_{\mathrm{e}} $ (middle right), $ N_{\mu} $ (bottom left), and $ m_{\text{DTk;\,\mathrm{d} E/\mathrm{d} x}} $ (bottom right) distributions. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 7-e:
Comparison in the baseline region for the short-track DTk category between the data and predicted SM background for the $ N_{\text{jet}} $ (top left), $ N_{\mathrm{b}\text{-jet}} $ (top right), $ p_{\mathrm{T}}^\text{miss} $ (middle left), $ N_{\mathrm{e}} $ (middle right), $ N_{\mu} $ (bottom left), and $ m_{\text{DTk;\,\mathrm{d} E/\mathrm{d} x}} $ (bottom right) distributions. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 7-f:
Comparison in the baseline region for the short-track DTk category between the data and predicted SM background for the $ N_{\text{jet}} $ (top left), $ N_{\mathrm{b}\text{-jet}} $ (top right), $ p_{\mathrm{T}}^\text{miss} $ (middle left), $ N_{\mathrm{e}} $ (middle right), $ N_{\mu} $ (bottom left), and $ m_{\text{DTk;\,\mathrm{d} E/\mathrm{d} x}} $ (bottom right) distributions. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 8:
Comparison between the data and SM background predictions for the 49 signal regions. The uncertainty bars on the ratios in the lower panels indicate the fractional Poisson uncertainties in the observed counts. The gray bands show the fractional Poisson uncertainties in the control region counts, added in quadrature with the systematic uncertainties. |
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Figure 9:
Observed 95% CL upper limits on the signal cross sections versus the bottom or top squark and neutralino mass for the T6tbLL (upper row) and T6btLL (lower row) model for a chargino proper decay length $ c\tau $ of 10 (left column) or 200 (right column) cm. Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties, on the squark and neutralino masses. |
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Figure 9-a:
Observed 95% CL upper limits on the signal cross sections versus the bottom or top squark and neutralino mass for the T6tbLL (upper row) and T6btLL (lower row) model for a chargino proper decay length $ c\tau $ of 10 (left column) or 200 (right column) cm. Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties, on the squark and neutralino masses. |
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Figure 9-b:
Observed 95% CL upper limits on the signal cross sections versus the bottom or top squark and neutralino mass for the T6tbLL (upper row) and T6btLL (lower row) model for a chargino proper decay length $ c\tau $ of 10 (left column) or 200 (right column) cm. Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties, on the squark and neutralino masses. |
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Figure 9-c:
Observed 95% CL upper limits on the signal cross sections versus the bottom or top squark and neutralino mass for the T6tbLL (upper row) and T6btLL (lower row) model for a chargino proper decay length $ c\tau $ of 10 (left column) or 200 (right column) cm. Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties, on the squark and neutralino masses. |
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Figure 9-d:
Observed 95% CL upper limits on the signal cross sections versus the bottom or top squark and neutralino mass for the T6tbLL (upper row) and T6btLL (lower row) model for a chargino proper decay length $ c\tau $ of 10 (left column) or 200 (right column) cm. Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties, on the squark and neutralino masses. |
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Figure 10:
Observed 95% CL upper limits on the signal cross sections versus the gluino and neutralino mass for the T5btbtLL model for a chargino proper decay length $ c\tau $ of 10 (left column) and 200 (right column) cm. Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties, on the gluino and neutralino masses. |
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Figure 10-a:
Observed 95% CL upper limits on the signal cross sections versus the gluino and neutralino mass for the T5btbtLL model for a chargino proper decay length $ c\tau $ of 10 (left column) and 200 (right column) cm. Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties, on the gluino and neutralino masses. |
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Figure 10-b:
Observed 95% CL upper limits on the signal cross sections versus the gluino and neutralino mass for the T5btbtLL model for a chargino proper decay length $ c\tau $ of 10 (left column) and 200 (right column) cm. Also shown are the contours corresponding to the observed and expected lower limits, including their uncertainties, on the gluino and neutralino masses. |
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Figure 11:
Observed 95% CL upper limits on the signal cross sections versus the chargino-LSP mass difference and the mass of the chargino. The red solid line indicates the boundary where the upper limit equals the cross section of fully degenerate higgsino production [91,92]. The green line represents the set of model points corresponding to the pure higgsino model where only radiative corrections to the mass splitting are assumed [21]. |
| Tables | |
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Table 1:
Overview of the simplified models of supersymmetry considered in this analysis. |
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Table 2:
Selection criteria on the BDT classifier and on the calorimetric energy $ E_{\text{dep}} $ associated with a disappearing track candidate for the search regions (SR) and for the control regions (CR) discussed in Section 8. |
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Table 3:
Definition of the search regions (SR) for the hadronic channel. The low (L) and high (H) categories refer to the ranges $ \mathrm{d} E/\mathrm{d} x\leq $ 4.0 and $ \mathrm{d} E/\mathrm{d} x > $ 4.0 MeV/cm, respectively. |
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Table 4:
Definition of the search regions (SR) for the muon, electron, and $ N_{\mathrm{DTk}}\geq $ 2 channels. The low (L) and high (H) categories refer to the ranges $ \mathrm{d} E/\mathrm{d} x\leq $ 4.0 and $ \mathrm{d} E/\mathrm{d} x > $ 4.0 MeV/cm, respectively. |
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Table 5:
The transfer factors $ \kappa^{\text{low}}_{\text{high}} $ and $ \kappa^{\mu\,\text{veto}}_{\mu\,\text{match}} $ used for the evaluation of the real-particle backgrounds. The ``Real shower'' columns refer to the $ \kappa^{\text{low}}_{\text{high}} $ factors while the ``Real muon'' columns refer to the $ \kappa^{\mu\,\text{veto}}_{\mu\,\text{match}} $ factors. The real-particle muon background is negligible for the short category of DTk tracks. The uncertainties are statistical. |
png pdf |
Table 6:
The transfer factor $ \theta^{\text{high}}_{\text{low}} $ used for the evaluation of the fake-track background. The uncertainties are statistical. |
png pdf |
Table 7:
Top: The considered sources of systematic uncertainty in the predicted signal yield and the corresponding range of values over the 49 search regions. Bottom: The ranges for the total prefit uncertainty in the predicted background counts. A value of 0 is reported when the relative uncertainty is determined to be less than 0.5%. |
png pdf |
Table 8:
The predicted prefit background counts and uncertainties in the 49 search regions. Statistical and bin-wise systematic uncertainties are added in quadrature. The control region counts corresponding to each background prediction are given in the column to the left of the respective background column. The numbers in parentheses for the signal points indicate the squark mass $ m_{\tilde{\mathrm{q}}} $ in GeV, the LSP mass $ m_{\tilde{\chi}_{1}^{0}} $ in GeV, and $ c\tau $ for the chargino $ \tilde{\chi}_{1}^{\pm} $ in cm, respectively. |
| Summary |
| A search for semi-stable charginos based on 137 fb$ ^{-1} $ of data collected in proton-proton collisions at $ \sqrt{s}= $ 13 TeV is presented. Event yields are studied in 49 non-overlapping search regions defined by the number of electrons, muons, jets, and b-tagged jets, and the missing transverse momentum $ p_{\mathrm{T}}^\text{miss} $, in final states with at least one identified disappearing track. Further categorization of the search regions is based on the approximate length of the track and on its d$ E$/d$ x $ energy loss in the inner tracking detector. The analysis targets a wide variety of possible production modes appearing in simplified models of R-parity conserving supersymmetry, including gluino, top squark, bottom squark, and electroweakino pair production. A machine learning-based classifier is employed to optimally select disappearing tracks while rejecting tracks originating from failures in the reconstruction or from combinatoric effects. Background contributions to the search regions are evaluated based on the observed yields in data control regions. The observed yields in the search regions are found to be consistent with the background-only predictions, and thus no evidence for supersymmetry is found. In the context of the examined models, bottom squarks, top squarks, and gluinos with masses as large as 1500, 1600, and 2300 GeV, respectively, are excluded. For bottom squark pair production, charginos and the lightest supersymmetric particle (LSP) are excluded up to masses of 850 (1150) GeV for a chargino proper decay length $ c\tau $ of 10 (200) cm. For top squark pair production, the corresponding limit on the chargino and LSP mass is 1050 (1450) GeV. These results extend the maximum limit on the LSP mass in the compressed phase space scenario by hundreds of GeV compared to the previous study [17], and extend the reach of sensitivity into mass regions where a pure higgsino-like or wino-like LSP can account for the observed dark matter relic density. Limits are also determined for a pure higgsino dark matter model [21]. In the context of this latter model, charginos and LSPs are excluded up to 200 GeV. |
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