CMS-PAS-HIG-20-016 | ||
Search for high mass resonances decaying into W$^{+}$W$^{-}$ in the dileptonic final state with 138 fb$^{-1}$ of proton-proton collisions at $\sqrt{s}=$ 13 TeV | ||
CMS Collaboration | ||
March 2022 | ||
Abstract: A search for high mass resonances decaying into a pair of W bosons is performed. The analysis considers the fully leptonic final state (e$\mu$, $\mu\mu$, ee). New techniques are implemented in the analysis to improve the sensitivity of the search, especially in the very high mass range. The search is performed in a mass range from 115 GeV to 5 TeV, and for various width hypotheses. Both the gluon-gluon-fusion and vector-boson-fusion signal production processes are considered. Interference effects between signal and background are also taken into account. The results are presented as 95% confidence level upper limits on the product of the cross section and branching ratio on the production of a high mass resonance, and exclusion limits are derived on various two-higgs-doublet models and minimal supersymmetric standard model benchmark scenarios. | ||
Links: CDS record (PDF) ; CADI line (restricted) ; |
Figures & Tables | Summary | Additional Figures | References | CMS Publications |
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Figures | |
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Figure 1:
DNN $m_{\mathrm{T}}$ distributions for the 2018 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 1-a:
DNN $m_{\mathrm{T}}$ distributions for the 2018 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 1-b:
DNN $m_{\mathrm{T}}$ distributions for the 2018 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 1-c:
DNN $m_{\mathrm{T}}$ distributions for the 2018 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 1-d:
DNN $m_{\mathrm{T}}$ distributions for the 2018 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 1-e:
DNN $m_{\mathrm{T}}$ distributions for the 2018 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 1-f:
DNN $m_{\mathrm{T}}$ distributions for the 2018 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 1-g:
DNN $m_{\mathrm{T}}$ distributions for the 2018 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 1-h:
DNN $m_{\mathrm{T}}$ distributions for the 2018 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 1-i:
DNN $m_{\mathrm{T}}$ distributions for the 2018 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 2:
DNN $m_{\mathrm{T}}$ distributions for the 2017 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 2-a:
DNN $m_{\mathrm{T}}$ distributions for the 2017 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 2-b:
DNN $m_{\mathrm{T}}$ distributions for the 2017 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 2-c:
DNN $m_{\mathrm{T}}$ distributions for the 2017 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 2-d:
DNN $m_{\mathrm{T}}$ distributions for the 2017 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 2-e:
DNN $m_{\mathrm{T}}$ distributions for the 2017 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 2-f:
DNN $m_{\mathrm{T}}$ distributions for the 2017 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 2-g:
DNN $m_{\mathrm{T}}$ distributions for the 2017 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 2-h:
DNN $m_{\mathrm{T}}$ distributions for the 2017 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 2-i:
DNN $m_{\mathrm{T}}$ distributions for the 2017 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 3:
DNN $m_{\mathrm{T}}$ distributions for the 2016 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 3-a:
DNN $m_{\mathrm{T}}$ distributions for the 2016 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 3-b:
DNN $m_{\mathrm{T}}$ distributions for the 2016 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 3-c:
DNN $m_{\mathrm{T}}$ distributions for the 2016 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 3-d:
DNN $m_{\mathrm{T}}$ distributions for the 2016 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 3-e:
DNN $m_{\mathrm{T}}$ distributions for the 2016 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 3-f:
DNN $m_{\mathrm{T}}$ distributions for the 2016 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 3-g:
DNN $m_{\mathrm{T}}$ distributions for the 2016 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 3-h:
DNN $m_{\mathrm{T}}$ distributions for the 2016 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 3-i:
DNN $m_{\mathrm{T}}$ distributions for the 2016 data set along with the background estimation and the prediction of a 1000 GeV signal, for events passing the e$ \mu $ (top), $\mu \mu $ (middle) and ee (bottom) signal region selections and entering the ggF (left), VBF (middle) and background (right) categories. |
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Figure 4:
Limits using the combined Run 2 data set for the $f_{VBF}=$ 0 (top left), $f_{VBF}=$ 1 (top right), floating $f_{VBF}$ (bottom left) and the SM $f_{VBF}$ scenarios (bottom right). |
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Figure 4-a:
Limits using the combined Run 2 data set for the $f_{VBF}=$ 0 (top left), $f_{VBF}=$ 1 (top right), floating $f_{VBF}$ (bottom left) and the SM $f_{VBF}$ scenarios (bottom right). |
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Figure 4-b:
Limits using the combined Run 2 data set for the $f_{VBF}=$ 0 (top left), $f_{VBF}=$ 1 (top right), floating $f_{VBF}$ (bottom left) and the SM $f_{VBF}$ scenarios (bottom right). |
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Figure 4-c:
Limits using the combined Run 2 data set for the $f_{VBF}=$ 0 (top left), $f_{VBF}=$ 1 (top right), floating $f_{VBF}$ (bottom left) and the SM $f_{VBF}$ scenarios (bottom right). |
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Figure 4-d:
Limits using the combined Run 2 data set for the $f_{VBF}=$ 0 (top left), $f_{VBF}=$ 1 (top right), floating $f_{VBF}$ (bottom left) and the SM $f_{VBF}$ scenarios (bottom right). |
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Figure 5:
Expected (left) and observed (right) upper limits as a function of the signal mass and the relative width. From top to bottom, the limits are shown for the $f_{VBF}=$ 0, $f_{VBF}=$ 1, floating $f_{VBF}$ and the SM $f_{VBF}$ scenarios. |
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Figure 5-a:
Expected (left) and observed (right) upper limits as a function of the signal mass and the relative width. From top to bottom, the limits are shown for the $f_{VBF}=$ 0, $f_{VBF}=$ 1, floating $f_{VBF}$ and the SM $f_{VBF}$ scenarios. |
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Figure 5-b:
Expected (left) and observed (right) upper limits as a function of the signal mass and the relative width. From top to bottom, the limits are shown for the $f_{VBF}=$ 0, $f_{VBF}=$ 1, floating $f_{VBF}$ and the SM $f_{VBF}$ scenarios. |
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Figure 5-c:
Expected (left) and observed (right) upper limits as a function of the signal mass and the relative width. From top to bottom, the limits are shown for the $f_{VBF}=$ 0, $f_{VBF}=$ 1, floating $f_{VBF}$ and the SM $f_{VBF}$ scenarios. |
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Figure 5-d:
Expected (left) and observed (right) upper limits as a function of the signal mass and the relative width. From top to bottom, the limits are shown for the $f_{VBF}=$ 0, $f_{VBF}=$ 1, floating $f_{VBF}$ and the SM $f_{VBF}$ scenarios. |
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Figure 5-e:
Expected (left) and observed (right) upper limits as a function of the signal mass and the relative width. From top to bottom, the limits are shown for the $f_{VBF}=$ 0, $f_{VBF}=$ 1, floating $f_{VBF}$ and the SM $f_{VBF}$ scenarios. |
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Figure 5-f:
Expected (left) and observed (right) upper limits as a function of the signal mass and the relative width. From top to bottom, the limits are shown for the $f_{VBF}=$ 0, $f_{VBF}=$ 1, floating $f_{VBF}$ and the SM $f_{VBF}$ scenarios. |
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Figure 5-g:
Expected (left) and observed (right) upper limits as a function of the signal mass and the relative width. From top to bottom, the limits are shown for the $f_{VBF}=$ 0, $f_{VBF}=$ 1, floating $f_{VBF}$ and the SM $f_{VBF}$ scenarios. |
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Figure 5-h:
Expected (left) and observed (right) upper limits as a function of the signal mass and the relative width. From top to bottom, the limits are shown for the $f_{VBF}=$ 0, $f_{VBF}=$ 1, floating $f_{VBF}$ and the SM $f_{VBF}$ scenarios. |
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Figure 6:
Expected exclusion limits for the MSSM scenarios. The limits are shown for the $ {M_{\mathrm{h}}^{125}} $ (top left), $ {M_{\mathrm{h}}^{125}(\tilde{\chi})} $ (top right), $ {M_{\mathrm{h}}^{125}(\tilde{\tau})} $ (middle left), $ {M_{\mathrm{h}}^{125}\text {(alignment)}} $ (middle right), $ {M_{\mathrm{h},\text {EFT}}^{125}} $ (bottom left) and $ {M_{\mathrm{h},\text {EFT}}^{125}(\tilde{\chi})} $ (bottom right) scenarios. |
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Figure 6-a:
Expected exclusion limits for the MSSM scenarios. The limits are shown for the $ {M_{\mathrm{h}}^{125}} $ (top left), $ {M_{\mathrm{h}}^{125}(\tilde{\chi})} $ (top right), $ {M_{\mathrm{h}}^{125}(\tilde{\tau})} $ (middle left), $ {M_{\mathrm{h}}^{125}\text {(alignment)}} $ (middle right), $ {M_{\mathrm{h},\text {EFT}}^{125}} $ (bottom left) and $ {M_{\mathrm{h},\text {EFT}}^{125}(\tilde{\chi})} $ (bottom right) scenarios. |
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Figure 6-b:
Expected exclusion limits for the MSSM scenarios. The limits are shown for the $ {M_{\mathrm{h}}^{125}} $ (top left), $ {M_{\mathrm{h}}^{125}(\tilde{\chi})} $ (top right), $ {M_{\mathrm{h}}^{125}(\tilde{\tau})} $ (middle left), $ {M_{\mathrm{h}}^{125}\text {(alignment)}} $ (middle right), $ {M_{\mathrm{h},\text {EFT}}^{125}} $ (bottom left) and $ {M_{\mathrm{h},\text {EFT}}^{125}(\tilde{\chi})} $ (bottom right) scenarios. |
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Figure 6-c:
Expected exclusion limits for the MSSM scenarios. The limits are shown for the $ {M_{\mathrm{h}}^{125}} $ (top left), $ {M_{\mathrm{h}}^{125}(\tilde{\chi})} $ (top right), $ {M_{\mathrm{h}}^{125}(\tilde{\tau})} $ (middle left), $ {M_{\mathrm{h}}^{125}\text {(alignment)}} $ (middle right), $ {M_{\mathrm{h},\text {EFT}}^{125}} $ (bottom left) and $ {M_{\mathrm{h},\text {EFT}}^{125}(\tilde{\chi})} $ (bottom right) scenarios. |
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Figure 6-d:
Expected exclusion limits for the MSSM scenarios. The limits are shown for the $ {M_{\mathrm{h}}^{125}} $ (top left), $ {M_{\mathrm{h}}^{125}(\tilde{\chi})} $ (top right), $ {M_{\mathrm{h}}^{125}(\tilde{\tau})} $ (middle left), $ {M_{\mathrm{h}}^{125}\text {(alignment)}} $ (middle right), $ {M_{\mathrm{h},\text {EFT}}^{125}} $ (bottom left) and $ {M_{\mathrm{h},\text {EFT}}^{125}(\tilde{\chi})} $ (bottom right) scenarios. |
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Figure 6-e:
Expected exclusion limits for the MSSM scenarios. The limits are shown for the $ {M_{\mathrm{h}}^{125}} $ (top left), $ {M_{\mathrm{h}}^{125}(\tilde{\chi})} $ (top right), $ {M_{\mathrm{h}}^{125}(\tilde{\tau})} $ (middle left), $ {M_{\mathrm{h}}^{125}\text {(alignment)}} $ (middle right), $ {M_{\mathrm{h},\text {EFT}}^{125}} $ (bottom left) and $ {M_{\mathrm{h},\text {EFT}}^{125}(\tilde{\chi})} $ (bottom right) scenarios. |
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Figure 6-f:
Expected exclusion limits for the MSSM scenarios. The limits are shown for the $ {M_{\mathrm{h}}^{125}} $ (top left), $ {M_{\mathrm{h}}^{125}(\tilde{\chi})} $ (top right), $ {M_{\mathrm{h}}^{125}(\tilde{\tau})} $ (middle left), $ {M_{\mathrm{h}}^{125}\text {(alignment)}} $ (middle right), $ {M_{\mathrm{h},\text {EFT}}^{125}} $ (bottom left) and $ {M_{\mathrm{h},\text {EFT}}^{125}(\tilde{\chi})} $ (bottom right) scenarios. |
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Figure 7:
Exclusion limits for a Type-II THDM (left) and a Type-I THDM (right) over the $m_\mathrm{H} $-$\tan\beta $-plane for $\cos(\beta -\alpha)=$ 0.1. |
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Figure 7-a:
Exclusion limits for a Type-II THDM (left) and a Type-I THDM (right) over the $m_\mathrm{H} $-$\tan\beta $-plane for $\cos(\beta -\alpha)=$ 0.1. |
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Figure 7-b:
Exclusion limits for a Type-II THDM (left) and a Type-I THDM (right) over the $m_\mathrm{H} $-$\tan\beta $-plane for $\cos(\beta -\alpha)=$ 0.1. |
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Figure 8:
Exclusion limits for a Type-II THDM (left) and a Type-I THDM (right) over the $\cos(\beta -\alpha)$-$\tan\beta $-plane. The limits are shown from top to bottom for $m_\mathrm{H} = $ 200 GeV, $m_\mathrm{H} = $ 300 GeV, $m_\mathrm{H} = $ 400 GeV and $m_\mathrm{H} = $ 500 GeV. |
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Figure 8-a:
Exclusion limits for a Type-II THDM (left) and a Type-I THDM (right) over the $\cos(\beta -\alpha)$-$\tan\beta $-plane. The limits are shown from top to bottom for $m_\mathrm{H} = $ 200 GeV, $m_\mathrm{H} = $ 300 GeV, $m_\mathrm{H} = $ 400 GeV and $m_\mathrm{H} = $ 500 GeV. |
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Figure 8-b:
Exclusion limits for a Type-II THDM (left) and a Type-I THDM (right) over the $\cos(\beta -\alpha)$-$\tan\beta $-plane. The limits are shown from top to bottom for $m_\mathrm{H} = $ 200 GeV, $m_\mathrm{H} = $ 300 GeV, $m_\mathrm{H} = $ 400 GeV and $m_\mathrm{H} = $ 500 GeV. |
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Figure 8-c:
Exclusion limits for a Type-II THDM (left) and a Type-I THDM (right) over the $\cos(\beta -\alpha)$-$\tan\beta $-plane. The limits are shown from top to bottom for $m_\mathrm{H} = $ 200 GeV, $m_\mathrm{H} = $ 300 GeV, $m_\mathrm{H} = $ 400 GeV and $m_\mathrm{H} = $ 500 GeV. |
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Figure 8-d:
Exclusion limits for a Type-II THDM (left) and a Type-I THDM (right) over the $\cos(\beta -\alpha)$-$\tan\beta $-plane. The limits are shown from top to bottom for $m_\mathrm{H} = $ 200 GeV, $m_\mathrm{H} = $ 300 GeV, $m_\mathrm{H} = $ 400 GeV and $m_\mathrm{H} = $ 500 GeV. |
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Figure 8-e:
Exclusion limits for a Type-II THDM (left) and a Type-I THDM (right) over the $\cos(\beta -\alpha)$-$\tan\beta $-plane. The limits are shown from top to bottom for $m_\mathrm{H} = $ 200 GeV, $m_\mathrm{H} = $ 300 GeV, $m_\mathrm{H} = $ 400 GeV and $m_\mathrm{H} = $ 500 GeV. |
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Figure 8-f:
Exclusion limits for a Type-II THDM (left) and a Type-I THDM (right) over the $\cos(\beta -\alpha)$-$\tan\beta $-plane. The limits are shown from top to bottom for $m_\mathrm{H} = $ 200 GeV, $m_\mathrm{H} = $ 300 GeV, $m_\mathrm{H} = $ 400 GeV and $m_\mathrm{H} = $ 500 GeV. |
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Figure 8-g:
Exclusion limits for a Type-II THDM (left) and a Type-I THDM (right) over the $\cos(\beta -\alpha)$-$\tan\beta $-plane. The limits are shown from top to bottom for $m_\mathrm{H} = $ 200 GeV, $m_\mathrm{H} = $ 300 GeV, $m_\mathrm{H} = $ 400 GeV and $m_\mathrm{H} = $ 500 GeV. |
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Figure 8-h:
Exclusion limits for a Type-II THDM (left) and a Type-I THDM (right) over the $\cos(\beta -\alpha)$-$\tan\beta $-plane. The limits are shown from top to bottom for $m_\mathrm{H} = $ 200 GeV, $m_\mathrm{H} = $ 300 GeV, $m_\mathrm{H} = $ 400 GeV and $m_\mathrm{H} = $ 500 GeV. |
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Figure 9:
Phase-2 extrapolated limits for the SM VBF fraction scenario, using the Run 2 uncertainties scenario (top left), the YR18 uncertainties scenario (top right) and the statistical uncertainties only scenario (bottom). |
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Figure 9-a:
Phase-2 extrapolated limits for the SM VBF fraction scenario, using the Run 2 uncertainties scenario (top left), the YR18 uncertainties scenario (top right) and the statistical uncertainties only scenario (bottom). |
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Figure 9-b:
Phase-2 extrapolated limits for the SM VBF fraction scenario, using the Run 2 uncertainties scenario (top left), the YR18 uncertainties scenario (top right) and the statistical uncertainties only scenario (bottom). |
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Figure 9-c:
Phase-2 extrapolated limits for the SM VBF fraction scenario, using the Run 2 uncertainties scenario (top left), the YR18 uncertainties scenario (top right) and the statistical uncertainties only scenario (bottom). |
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Figure 10:
Phase-2 extrapolated limits for the MSSM $ {M_{\mathrm{h}}^{125}} $ scenario (left) and a Type-II THDM over the $m_\mathrm{H} $-$\tan\beta $-plane (right). The limits are shown using the Run 2 uncertainties scenario (top), the YR18 uncertainties scenario (middle) and the statistical uncertainties only scenario (bottom). |
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Figure 10-a:
Phase-2 extrapolated limits for the MSSM $ {M_{\mathrm{h}}^{125}} $ scenario (left) and a Type-II THDM over the $m_\mathrm{H} $-$\tan\beta $-plane (right). The limits are shown using the Run 2 uncertainties scenario (top), the YR18 uncertainties scenario (middle) and the statistical uncertainties only scenario (bottom). |
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Figure 10-b:
Phase-2 extrapolated limits for the MSSM $ {M_{\mathrm{h}}^{125}} $ scenario (left) and a Type-II THDM over the $m_\mathrm{H} $-$\tan\beta $-plane (right). The limits are shown using the Run 2 uncertainties scenario (top), the YR18 uncertainties scenario (middle) and the statistical uncertainties only scenario (bottom). |
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Figure 10-c:
Phase-2 extrapolated limits for the MSSM $ {M_{\mathrm{h}}^{125}} $ scenario (left) and a Type-II THDM over the $m_\mathrm{H} $-$\tan\beta $-plane (right). The limits are shown using the Run 2 uncertainties scenario (top), the YR18 uncertainties scenario (middle) and the statistical uncertainties only scenario (bottom). |
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Figure 10-d:
Phase-2 extrapolated limits for the MSSM $ {M_{\mathrm{h}}^{125}} $ scenario (left) and a Type-II THDM over the $m_\mathrm{H} $-$\tan\beta $-plane (right). The limits are shown using the Run 2 uncertainties scenario (top), the YR18 uncertainties scenario (middle) and the statistical uncertainties only scenario (bottom). |
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Figure 10-e:
Phase-2 extrapolated limits for the MSSM $ {M_{\mathrm{h}}^{125}} $ scenario (left) and a Type-II THDM over the $m_\mathrm{H} $-$\tan\beta $-plane (right). The limits are shown using the Run 2 uncertainties scenario (top), the YR18 uncertainties scenario (middle) and the statistical uncertainties only scenario (bottom). |
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Figure 10-f:
Phase-2 extrapolated limits for the MSSM $ {M_{\mathrm{h}}^{125}} $ scenario (left) and a Type-II THDM over the $m_\mathrm{H} $-$\tan\beta $-plane (right). The limits are shown using the Run 2 uncertainties scenario (top), the YR18 uncertainties scenario (middle) and the statistical uncertainties only scenario (bottom). |
Tables | |
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Table 1:
Summary of the selection criteria. |
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Table 2:
Considered systematic uncertainties and their year-by-year correlations. |
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Table 3:
Summary of the signal hypotheses with highest local significance for each $f_{VBF}$ scenario. For each signal hypothesis the resonance mass, production cross sections, and the local and global significances are given. |
Summary |
We performed a search for a high mass Higgs boson decaying into a pair of W bosons in the dileptonic channel. We observe an upward fluctuation of data compared to the expected background. The signal hypothesis with the highest significance corresponds to a resonance mass of 650 GeV in the scenario where only VBF production is considered. The global significance of this excess is 2.6$\sigma$. The presence of a heavy SM-like Higgs boson is excluded at 95% CL up to 2100 GeV, assuming the relative contribution of ggF and VBF production is SM-like and also assuming only VBF production. The exclusion is up to about 800 GeV when considering only ggF production. In the case where the ratio between ggF and VBF production is left floating in the fit, an exclusion of up to 900 GeV is observed. In MSSM scenarios the analysis is sensitive at low values of $m_{\mathrm{A} }$ and $\tan\beta$ and the exclusion limits extend up to $m_{\mathrm{A} } = $ 450 GeV. For $m_{\mathrm{A} }$ between 150 GeV and 400 GeV, we exclude values of $\tan\beta$ between 10 and 3. The sensitivity is similar between the mmodh, mmodc, mmodt, mmodhEFT and mmodcEFT scenarios. In the mmoda scenario, the exclusion limits reach to about $m_{\mathrm{A} } = $ 400 GeV. In THDM scenarios, the limits show an exclusion of up to 750 GeV in THDMs of both Type-I and Type-II. For $\cos(\beta-\alpha)=$ 0.1, the limits in $\tan\beta$ extend up to 4 in Type-II and up to 5 in Type-I, with the sensitivity generally becoming lower for higher masses of H. The sensitivity over $\tan\beta$ varies more strongly as a function of $\cos(\beta-\alpha)$. Extrapolation studies were performed to evaluate the expected gain in sensitivity for the Phase-2 operations of the HL-LHC. The upper limits on the product of the cross section and branching ratio of a new resonance are expected to be improved by almost one order of magnitude. The expected exclusion range in MSSM scenarios increases by only about 50 GeV along the $m_{\mathrm{A} }$ axis. The increase in sensitivity is more noticeable for a general THDM, with the exclusion extending from 1000 GeV up to 1500 GeV for low values of $\tan\beta$. |
Additional Figures | |
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Additional Figure 1:
Phase-2 extrapolated limits for the VBF-only scenario, using the Run 2 uncertainties scenario (top left), the YR18 uncertainties scenario (top right) and the statistical uncertainties only scenario (bottom). |
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Additional Figure 1-a:
Phase-2 extrapolated limits for the VBF-only scenario, using the Run 2 uncertainties scenario. |
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Additional Figure 1-b:
Phase-2 extrapolated limits for the VBF-only scenario, using the YR18 uncertainties scenario. |
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Additional Figure 1-c:
Phase-2 extrapolated limits for the VBF-only scenario, using the statistical uncertainties only scenario. |
png pdf |
Additional Figure 2:
Phase-2 extrapolated limits for the ggF-only scenario, using the Run 2 uncertainties scenario (top left), the YR18 uncertainties scenario (top right) and the statistical uncertainties only scenario (bottom). |
png pdf |
Additional Figure 2-a:
Phase-2 extrapolated limits for the ggF-only scenario, using the Run 2 uncertainties scenario. |
png pdf |
Additional Figure 2-b:
Phase-2 extrapolated limits for the ggF-only scenario, using the YR18 uncertainties scenario. |
png pdf |
Additional Figure 2-c:
Phase-2 extrapolated limits for the ggF-only scenario, using the statistical uncertainties only scenario. |
png pdf |
Additional Figure 3:
Phase-2 extrapolated limits for the floating VBF fraction scenario, using the Run 2 uncertainties scenario (top left), the YR18 uncertainties scenario (top right) and the statistical uncertainties only scenario (bottom). |
png pdf |
Additional Figure 3-a:
Phase-2 extrapolated limits for the floating VBF fraction scenario, using the Run 2 uncertainties scenario. |
png pdf |
Additional Figure 3-b:
Phase-2 extrapolated limits for the floating VBF fraction scenario, using the YR18 uncertainties scenario. |
png pdf |
Additional Figure 3-c:
Phase-2 extrapolated limits for the floating VBF fraction scenario, using the statistical uncertainties only scenario. |
png pdf |
Additional Figure 4:
Phase-2 extrapolated limits for the MSSM $M_{\mathrm{h}}^{125}$(alignment) scenario (left) and $M_{\mathrm{h},\text {EFT}}^{125}$ scenario (right). The limits are shown using the Run 2 uncertainties scenario (top), the YR18 uncertainties scenario (middle) and the statistical uncertainties only scenario (bottom). |
png pdf |
Additional Figure 4-a:
Phase-2 extrapolated limits for the MSSM $M_{\mathrm{h}}^{125}$(alignment) scenario. The limits are shown using the Run 2 uncertainties scenario. |
png pdf |
Additional Figure 4-b:
Phase-2 extrapolated limits for the MSSM $M_{\mathrm{h},\text {EFT}}^{125}$ scenario. The limits are shown using the Run 2 uncertainties scenario. |
png pdf |
Additional Figure 4-c:
Phase-2 extrapolated limits for the MSSM $M_{\mathrm{h}}^{125}$(alignment) scenario. The limits are shown using the YR18 uncertainties scenario. |
png pdf |
Additional Figure 4-d:
Phase-2 extrapolated limits for the MSSM $M_{\mathrm{h},\text {EFT}}^{125}$ scenario. The limits are shown using the YR18 uncertainties scenario. |
png pdf |
Additional Figure 4-e:
Phase-2 extrapolated limits for the MSSM $M_{\mathrm{h}}^{125}$(alignment) scenario. The limits are shown using the statistical uncertainties only scenario. |
png pdf |
Additional Figure 4-f:
Phase-2 extrapolated limits for the MSSM $M_{\mathrm{h},\text {EFT}}^{125}$ scenario. The limits are shown using the statistical uncertainties only scenario. |
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Compact Muon Solenoid LHC, CERN |