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| CMS-EXO-22-008 ; CERN-EP-2023-220 | ||
| Search for narrow trijet resonances in proton-proton collisions at $ \sqrt{s} = $ 13 TeV | ||
| CMS Collaboration | ||
| 21 October 2023 | ||
| Submitted to Phys. Rev. Lett. | ||
| Abstract: The first search for narrow resonances decaying to three well-separated hadronic jets is presented. The search uses proton-proton collision data corresponding to an integrated luminosity of 138 fb$ ^{-1} $ at $ \sqrt{s}= $ 13 TeV, collected at the CERN LHC. No significant deviations from the background predictions are observed between 1.75-9.00 TeV. The results provide the first mass limits on a right-handed boson $ \mathrm{Z}_{R} $ decaying to three gluons, an excited quark decaying via a vector boson to three quarks, as well as updated limits on a Kaluza-Klein gluon decaying via a radion to three gluons. | ||
| Links: e-print arXiv:2310.14023 [hep-ex] (PDF) ; CDS record ; inSPIRE record ; HepData record ; Physics Briefing ; CADI line (restricted) ; | ||
| Figures | Summary | Additional Figures | References | CMS Publications |
|---|
| Figures | |
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Figure 1:
The observed $ m_{\mathrm{jjj}} $ distribution and the background-only fit to the data using the $ f_A $ fit function. Uncertainties in the fit that correspond to the 68% confidence level are depicted with the red band. The expected $ m_{\mathrm{jjj}} $ distributions for $ \mathrm{Z}_{R} $ signal masses of 2.0, 4.0, 6.0, and 8.0 TeV, with nominal width of $ {\sim} 3% $, are also shown. For illustration purposes, the normalizations correspond to $ \sigma\mathcal{B} $ values of 200, 50, 20, and 20 fb, respectively. Only 2016 data are shown for $ m_{\mathrm{jjj}} < $ 1.76 TeV because of the higher trigger thresholds in 2017 and 2018. In the bottom panel, the blue hatched bars show the difference between the observed data and the background prediction divided by the statistical uncertainty, along with expectations for the example $ \mathrm{Z}_{R} $ signal points. |
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Figure 2:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to\mathrm{g}\mathrm{g}\mathrm{g})\mathcal{A} $ for the nominal (left) and narrow-width (right) scenarios. Only 2016 data are used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions assuming SM-like couplings are depicted with red curves. |
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Figure 2-a:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to\mathrm{g}\mathrm{g}\mathrm{g})\mathcal{A} $ for the nominal scenario. Only 2016 data are used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions assuming SM-like couplings are depicted with red curves. |
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Figure 2-b:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to\mathrm{g}\mathrm{g}\mathrm{g})\mathcal{A} $ for the narrow-width scenario. Only 2016 data are used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions assuming SM-like couplings are depicted with red curves. |
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Figure 3:
Observed limits at 95% CL as a function of $ m_{\mathrm{X}} $ and $ \rho_{\mathrm{m}} $ on $ \sigma\mathcal{B}(\mathrm{X}\to{\mathrm{Y}}(\mathrm{g}\mathrm{g})\mathrm{g})\mathcal{A} $ (left) and $ \sigma\mathcal{B}(\mathrm{X}\to{\mathrm{Y}}(\mathrm{q}\mathrm{q})\mathrm{q})\mathcal{A} $ (right). Only 2016 data are used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. The legend shows the model parameters for the chosen benchmark [23,24], and their corresponding mass exclusion ranges are depicted with areas inside the black hatched contours. |
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Figure 3-a:
Observed limits at 95% CL as a function of $ m_{\mathrm{X}} $ and $ \rho_{\mathrm{m}} $ on $ \sigma\mathcal{B}(\mathrm{X}\to{\mathrm{Y}}(\mathrm{g}\mathrm{g})\mathrm{g})\mathcal{A} $. Only 2016 data are used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. The legend shows the model parameters for the chosen benchmark [23], and their corresponding mass exclusion ranges are depicted with areas inside the black hatched contours. |
png pdf |
Figure 3-b:
Observed limits at 95% CL as a function of $ m_{\mathrm{X}} $ and $ \rho_{\mathrm{m}} $ on $ \sigma\mathcal{B}(\mathrm{X}\to{\mathrm{Y}}(\mathrm{q}\mathrm{q})\mathrm{q})\mathcal{A} $. Only 2016 data are used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. The legend shows the model parameters for the chosen benchmark [24], and their corresponding mass exclusion ranges are depicted with areas inside the black hatched contours. |
| Summary |
| In summary, the first generic search for new particles decaying to three hadronic jets has been presented. The search uses proton-proton collision data at $ \sqrt{s}= $ 13 TeV recorded by the CMS experiment in 2016-2018, corresponding to an integrated luminosity of 138 fb$^{-1}$. The three-jet invariant mass spectrum is scanned for narrow peaks corresponding to new particles. No significant excesses above the standard model background expectations are observed. Limits are set on the product of the production cross section, branching fraction, and acceptance to three resolved jets. The results are interpreted in the context of a new right-handed boson $ \mathrm{Z}_{R} $ decaying to three gluons, a Kaluza-Klein gluon $\mathrm{G}_{\mathrm{KK}}$ decaying via an intermediate radion to three gluons ($ \mathrm{g}\mathrm{g}\mathrm{g} $), and an excited quark decaying via a vector boson to three quarks ($ \mathrm{q}\mathrm{q}\mathrm{q} $). This is the first search for the three-body decay of high-mass resonances ($ \mathrm{X} $) into three resolved jets at the LHC, and also the first search for $ \mathrm{X} $ that decays into three resolved jets through an intermediate resonance ($\mathrm{Y}$) with a mass ratio $ m_{{\mathrm{Y}}}/m_{\mathrm{X}} $ between 0.3-0.8 for the $ \mathrm{g}\mathrm{g}\mathrm{g} $ decay mode and 0.2-0.8 for the $ \mathrm{q}\mathrm{q}\mathrm{q} $ decay mode, significantly extending the model parameter space explored by a previous search [20]. |
| Additional Figures | |
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Additional Figure 1:
Efficiencies of the selection requirements on the benchmark signal processes: $ \mathrm{Z}_{R}\to\mathrm{g}\mathrm{g}\mathrm{g} $ with nominal width $ \Gamma_{\mathrm{Z}_{R}}/ m_{\mathrm{Z}_{R}}\sim3% $ (top left), $ \mathrm{Z}_{R}\to\mathrm{g}\mathrm{g}\mathrm{g} $ with narrow width $ \Gamma_{\mathrm{Z}_{R}}/ m_{\mathrm{Z}_{R}}\sim0.01% $ (top right), $ g_{\mathrm{KK}} \to\varphi(\mathrm{g}\mathrm{g})\mathrm{g} $ (bottom left), and $ \mathrm{q}^{*}\to \text{V}(\mathrm{q}\mathrm{q})\mathrm{q} $ (bottom right). $ \varphi $ is the radion and V is a beyond-the-SM vector boson. The efficiencies for 2016, 2017, and 2018 data-taking conditions are shown separately. The bottom two figures also show efficiencies for different $ \rho_{m} $ scenarios for cascade decays with intermediate resonances. |
png pdf |
Additional Figure 1-a:
Efficiencies of the selection requirements on the benchmark signal processes: $ \mathrm{Z}_{R}\to\mathrm{g}\mathrm{g}\mathrm{g} $ with nominal width $ \Gamma_{\mathrm{Z}_{R}}/ m_{\mathrm{Z}_{R}}\sim3% $ (top left), $ \mathrm{Z}_{R}\to\mathrm{g}\mathrm{g}\mathrm{g} $ with narrow width $ \Gamma_{\mathrm{Z}_{R}}/ m_{\mathrm{Z}_{R}}\sim0.01% $ (top right), $ g_{\mathrm{KK}} \to\varphi(\mathrm{g}\mathrm{g})\mathrm{g} $ (bottom left), and $ \mathrm{q}^{*}\to \text{V}(\mathrm{q}\mathrm{q})\mathrm{q} $ (bottom right). $ \varphi $ is the radion and V is a beyond-the-SM vector boson. The efficiencies for 2016, 2017, and 2018 data-taking conditions are shown separately. The bottom two figures also show efficiencies for different $ \rho_{m} $ scenarios for cascade decays with intermediate resonances. |
png pdf |
Additional Figure 1-b:
Efficiencies of the selection requirements on the benchmark signal processes: $ \mathrm{Z}_{R}\to\mathrm{g}\mathrm{g}\mathrm{g} $ with nominal width $ \Gamma_{\mathrm{Z}_{R}}/ m_{\mathrm{Z}_{R}}\sim3% $ (top left), $ \mathrm{Z}_{R}\to\mathrm{g}\mathrm{g}\mathrm{g} $ with narrow width $ \Gamma_{\mathrm{Z}_{R}}/ m_{\mathrm{Z}_{R}}\sim0.01% $ (top right), $ g_{\mathrm{KK}} \to\varphi(\mathrm{g}\mathrm{g})\mathrm{g} $ (bottom left), and $ \mathrm{q}^{*}\to \text{V}(\mathrm{q}\mathrm{q})\mathrm{q} $ (bottom right). $ \varphi $ is the radion and V is a beyond-the-SM vector boson. The efficiencies for 2016, 2017, and 2018 data-taking conditions are shown separately. The bottom two figures also show efficiencies for different $ \rho_{m} $ scenarios for cascade decays with intermediate resonances. |
png pdf |
Additional Figure 1-c:
Efficiencies of the selection requirements on the benchmark signal processes: $ \mathrm{Z}_{R}\to\mathrm{g}\mathrm{g}\mathrm{g} $ with nominal width $ \Gamma_{\mathrm{Z}_{R}}/ m_{\mathrm{Z}_{R}}\sim3% $ (top left), $ \mathrm{Z}_{R}\to\mathrm{g}\mathrm{g}\mathrm{g} $ with narrow width $ \Gamma_{\mathrm{Z}_{R}}/ m_{\mathrm{Z}_{R}}\sim0.01% $ (top right), $ g_{\mathrm{KK}} \to\varphi(\mathrm{g}\mathrm{g})\mathrm{g} $ (bottom left), and $ \mathrm{q}^{*}\to \text{V}(\mathrm{q}\mathrm{q})\mathrm{q} $ (bottom right). $ \varphi $ is the radion and V is a beyond-the-SM vector boson. The efficiencies for 2016, 2017, and 2018 data-taking conditions are shown separately. The bottom two figures also show efficiencies for different $ \rho_{m} $ scenarios for cascade decays with intermediate resonances. |
png pdf |
Additional Figure 1-d:
Efficiencies of the selection requirements on the benchmark signal processes: $ \mathrm{Z}_{R}\to\mathrm{g}\mathrm{g}\mathrm{g} $ with nominal width $ \Gamma_{\mathrm{Z}_{R}}/ m_{\mathrm{Z}_{R}}\sim3% $ (top left), $ \mathrm{Z}_{R}\to\mathrm{g}\mathrm{g}\mathrm{g} $ with narrow width $ \Gamma_{\mathrm{Z}_{R}}/ m_{\mathrm{Z}_{R}}\sim0.01% $ (top right), $ g_{\mathrm{KK}} \to\varphi(\mathrm{g}\mathrm{g})\mathrm{g} $ (bottom left), and $ \mathrm{q}^{*}\to \text{V}(\mathrm{q}\mathrm{q})\mathrm{q} $ (bottom right). $ \varphi $ is the radion and V is a beyond-the-SM vector boson. The efficiencies for 2016, 2017, and 2018 data-taking conditions are shown separately. The bottom two figures also show efficiencies for different $ \rho_{m} $ scenarios for cascade decays with intermediate resonances. |
png pdf |
Additional Figure 2:
Acceptance of the signal selection requirement $ m_{\mathrm{X}}^{GEN}/m_{\mathrm{X}}^{input} > $ 85% on the benchmark signal process $ \mathrm{Z}_{R}\to\mathrm{g}\mathrm{g}\mathrm{g} $ (top), $ g_{\mathrm{KK}} \to\varphi(\mathrm{g}\mathrm{g})\mathrm{g} $ (bottom left), and $ \mathrm{q}^{*}\to \text{V}(\mathrm{q}\mathrm{q})\mathrm{q} $ (bottom right). $ m_{\mathrm{X}}^{\text{GEN}} $ is the mass of the new resonances generated by the MC simulation. $ m_{\mathrm{X}}^{\text{input}} $ is the resonance mass point under consideration. The acceptance is defined as $ \mathcal{A} = $ N (events with $ m_{\mathrm{X}}^{\text{GEN}}/m_{\mathrm{X}}^{\text{input}} > $ 85%) / $ N $(events generated in the full phase space defined by the CMS default generator settings). |
png pdf |
Additional Figure 2-a:
Acceptance of the signal selection requirement $ m_{\mathrm{X}}^{GEN}/m_{\mathrm{X}}^{input} > $ 85% on the benchmark signal process $ \mathrm{Z}_{R}\to\mathrm{g}\mathrm{g}\mathrm{g} $ (top), $ g_{\mathrm{KK}} \to\varphi(\mathrm{g}\mathrm{g})\mathrm{g} $ (bottom left), and $ \mathrm{q}^{*}\to \text{V}(\mathrm{q}\mathrm{q})\mathrm{q} $ (bottom right). $ m_{\mathrm{X}}^{\text{GEN}} $ is the mass of the new resonances generated by the MC simulation. $ m_{\mathrm{X}}^{\text{input}} $ is the resonance mass point under consideration. The acceptance is defined as $ \mathcal{A} = $ N (events with $ m_{\mathrm{X}}^{\text{GEN}}/m_{\mathrm{X}}^{\text{input}} > $ 85%) / $ N $(events generated in the full phase space defined by the CMS default generator settings). |
png pdf |
Additional Figure 2-b:
Acceptance of the signal selection requirement $ m_{\mathrm{X}}^{GEN}/m_{\mathrm{X}}^{input} > $ 85% on the benchmark signal process $ \mathrm{Z}_{R}\to\mathrm{g}\mathrm{g}\mathrm{g} $ (top), $ g_{\mathrm{KK}} \to\varphi(\mathrm{g}\mathrm{g})\mathrm{g} $ (bottom left), and $ \mathrm{q}^{*}\to \text{V}(\mathrm{q}\mathrm{q})\mathrm{q} $ (bottom right). $ m_{\mathrm{X}}^{\text{GEN}} $ is the mass of the new resonances generated by the MC simulation. $ m_{\mathrm{X}}^{\text{input}} $ is the resonance mass point under consideration. The acceptance is defined as $ \mathcal{A} = $ N (events with $ m_{\mathrm{X}}^{\text{GEN}}/m_{\mathrm{X}}^{\text{input}} > $ 85%) / $ N $(events generated in the full phase space defined by the CMS default generator settings). |
png pdf |
Additional Figure 2-c:
Acceptance of the signal selection requirement $ m_{\mathrm{X}}^{GEN}/m_{\mathrm{X}}^{input} > $ 85% on the benchmark signal process $ \mathrm{Z}_{R}\to\mathrm{g}\mathrm{g}\mathrm{g} $ (top), $ g_{\mathrm{KK}} \to\varphi(\mathrm{g}\mathrm{g})\mathrm{g} $ (bottom left), and $ \mathrm{q}^{*}\to \text{V}(\mathrm{q}\mathrm{q})\mathrm{q} $ (bottom right). $ m_{\mathrm{X}}^{\text{GEN}} $ is the mass of the new resonances generated by the MC simulation. $ m_{\mathrm{X}}^{\text{input}} $ is the resonance mass point under consideration. The acceptance is defined as $ \mathcal{A} = $ N (events with $ m_{\mathrm{X}}^{\text{GEN}}/m_{\mathrm{X}}^{\text{input}} > $ 85%) / $ N $(events generated in the full phase space defined by the CMS default generator settings). |
png pdf |
Additional Figure 3:
The observed local significance for a $ \mathrm{g}\mathrm{g}\mathrm{g} $ resonance versus X mass, shown for resonances with nominal width (blue) and narrow width (red). The most significant excesses correspond to 2.1 (2.2) standard deviations. |
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Additional Figure 4:
The observed local significance versus $ m_{\mathrm{X}} $ and $ \rho_{m} $ for resonances decaying via a cascade. The largest deviations are observed at $ \rho_{m} = 0.3, m_{\mathrm{X}} = $ 4.1 TeV for $ \mathrm{X}\to \mathrm{Y} (\mathrm{g}\mathrm{g})\mathrm{g} $ and $ \rho_{m} =$ 0.7, $ m_{\mathrm{X}} = $ 3.9 TeV for $ \mathrm{X}\to \mathrm{Y} (\mathrm{q}\mathrm{q})\mathrm{q} $. The corresponding local (global) significance values are 2.2 (0.4) and 2.1 (0.3) standard deviations, respectively. |
png pdf |
Additional Figure 4-a:
The observed local significance versus $ m_{\mathrm{X}} $ and $ \rho_{m} $ for resonances decaying via a cascade. The largest deviations are observed at $ \rho_{m} = 0.3, m_{\mathrm{X}} = $ 4.1 TeV for $ \mathrm{X}\to \mathrm{Y} (\mathrm{g}\mathrm{g})\mathrm{g} $ and $ \rho_{m} =$ 0.7, $ m_{\mathrm{X}} = $ 3.9 TeV for $ \mathrm{X}\to \mathrm{Y} (\mathrm{q}\mathrm{q})\mathrm{q} $. The corresponding local (global) significance values are 2.2 (0.4) and 2.1 (0.3) standard deviations, respectively. |
png pdf |
Additional Figure 4-b:
The observed local significance versus $ m_{\mathrm{X}} $ and $ \rho_{m} $ for resonances decaying via a cascade. The largest deviations are observed at $ \rho_{m} = 0.3, m_{\mathrm{X}} = $ 4.1 TeV for $ \mathrm{X}\to \mathrm{Y} (\mathrm{g}\mathrm{g})\mathrm{g} $ and $ \rho_{m} =$ 0.7, $ m_{\mathrm{X}} = $ 3.9 TeV for $ \mathrm{X}\to \mathrm{Y} (\mathrm{q}\mathrm{q})\mathrm{q} $. The corresponding local (global) significance values are 2.2 (0.4) and 2.1 (0.3) standard deviations, respectively. |
png pdf |
Additional Figure 5:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{g}\mathrm{g})\mathrm{g})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ g_{\mathrm{KK}} $ model. |
png pdf |
Additional Figure 5-a:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{g}\mathrm{g})\mathrm{g})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ g_{\mathrm{KK}} $ model. |
png pdf |
Additional Figure 5-b:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{g}\mathrm{g})\mathrm{g})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ g_{\mathrm{KK}} $ model. |
png pdf |
Additional Figure 5-c:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{g}\mathrm{g})\mathrm{g})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ g_{\mathrm{KK}} $ model. |
png pdf |
Additional Figure 5-d:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{g}\mathrm{g})\mathrm{g})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ g_{\mathrm{KK}} $ model. |
png pdf |
Additional Figure 5-e:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{g}\mathrm{g})\mathrm{g})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ g_{\mathrm{KK}} $ model. |
png pdf |
Additional Figure 5-f:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{g}\mathrm{g})\mathrm{g})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ g_{\mathrm{KK}} $ model. |
png pdf |
Additional Figure 5-g:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{g}\mathrm{g})\mathrm{g})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ g_{\mathrm{KK}} $ model. |
png pdf |
Additional Figure 6:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{q}\mathrm{q})\mathrm{q})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ \mathrm{q}^{*} $ model. |
png pdf |
Additional Figure 6-a:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{q}\mathrm{q})\mathrm{q})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ \mathrm{q}^{*} $ model. |
png pdf |
Additional Figure 6-b:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{q}\mathrm{q})\mathrm{q})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ \mathrm{q}^{*} $ model. |
png pdf |
Additional Figure 6-c:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{q}\mathrm{q})\mathrm{q})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ \mathrm{q}^{*} $ model. |
png pdf |
Additional Figure 6-d:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{q}\mathrm{q})\mathrm{q})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ \mathrm{q}^{*} $ model. |
png pdf |
Additional Figure 6-e:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{q}\mathrm{q})\mathrm{q})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ \mathrm{q}^{*} $ model. |
png pdf |
Additional Figure 6-f:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{q}\mathrm{q})\mathrm{q})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ \mathrm{q}^{*} $ model. |
png pdf |
Additional Figure 6-g:
Limits at 95% CL on $ \sigma\mathcal{B}(\mathrm{X}\to \mathrm{Y} (\mathrm{q}\mathrm{q})\mathrm{q})\mathcal{A} $ for resonances X in different $ \rho_{m} $ scenarios. Only 2016 data is used to derive limits below 2.0 TeV because of the higher trigger thresholds in 2017 and 2018. Theoretical predictions are also shown for the benchmark $ \mathrm{q}^{*} $ model. |
png pdf jpg |
Additional Figure 7:
Three-dimensional display of the event with the highest $ m_{\mathrm{jjj}} $ of 7.20 TeV. Energy deposited in the electromagnetic (green) and hadronic (blue) calorimeters and the reconstructed tracks of charged particles (yellow) are shown. Reconstructed three most energetic jets are represented by the yellow cones. |
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