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CMS-PAS-B2G-25-013
Search for a light charged Higgs boson decaying to a W boson and a CP-odd Higgs boson in rare top quark decays in proton-proton collisions at $ \sqrt{s}= $ 13 and 13.6 TeV
Abstract: A search is presented for a light charged Higgs boson ($ \mathrm{H^+} $) and a CP-odd Higgs boson ($ \mathrm{A} $) in top quark pair production. The search targets the decay chain $ \mathrm{t} \to \mathrm{H^+}\mathrm{b} $, followed by $ \mathrm{H^+} \to \mathrm{W}^{+}\mathrm{A} \to \mathrm{W}^{+}\mu^{+}\mu^{-} $, with charge-conjugate processes implied. The analysis uses proton-proton collision data at $ \sqrt{s} = $ 13 and 13.6 TeV collected by the CMS experiment at the CERN LHC, corresponding to a total integrated luminosity of 200 fb$ ^{-1} $. Events with three leptons in the $ \mathrm{e}\mu\mu $ or $ \mu\mu\mu $ final state and at least two jets, including at least one jet identified as originating from a bottom quark, are selected. A graph-based deep neural network is used to suppress backgrounds containing a Z boson for signal hypotheses with $ m_{\mathrm{A}} $ near the Z boson mass. Mass hypotheses with $ m_{\mathrm{H^+}} $ between 70 and 160 GeV and $ m_{\mathrm{A}} $ between 15 GeV and $ (m_{\mathrm{H^+}} - 5 \mathrm{GeV}) $ are explored, covering for the first time the off-shell W boson regime. No significant excess over the standard model prediction is observed, and upper limits at 95% confidence level are set on the product of branching fractions $ \mathcal{B}(\mathrm{t} \to \mathrm{H^+}\mathrm{b}) \times \mathcal{B}(\mathrm{H^+} \to \mathrm{W}^{+}\mathrm{A}) \times \mathcal{B}(\mathrm{A} \to \mu^{+}\mu^{-}) $. The observed upper limits range from 0.5 $ \times 10^{-6} $ to 3.6 $ \times 10^{-6} $ away from the Z boson mass and from 0.8 $ \times 10^{-6} $ to 6.8 $ \times 10^{-6} $ near it.
Figures & Tables Summary References CMS Publications
Figures

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Figure 1:
Representative Feynman diagram for the signal process $ \mathrm{g}\mathrm{g} \to \mathrm{t}\overline{\mathrm{t}} \to (\mathrm{H^+}\mathrm{b})(\mathrm{W^-}\overline{\mathrm{b}}) $ with $ \mathrm{H^+} \to \mathrm{W^+}\mathrm{A} \to \mathrm{W^+}\mu^{+}\mu^{-} $.

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Figure 2:
Partial decay widths of the charged Higgs boson (left) and of the CP-odd Higgs boson (right) in the Type-I 2HDM at $ \tan\beta = $ 1, calculated with 2HDMC. The left panel shows the widths as functions of $ \mathit{m}_{\mathrm{H^+}} $, for $ \mathrm{H^+} \to \mathrm{W^+}\mathrm{A} $ with $ \mathit{m}_{\mathrm{A}} = $ 15 GeV, $ (\mathit{m}_{\mathrm{H^+}} - 30 \text{GeV}) $, and $ \mathit{m}_{\mathrm{H^+}} - \mathit{m}_{\mathrm{W}} $, together with the fermionic modes $ \mathrm{H^+} \to \tau^{+}\nu $, $ \mathrm{c}\overline{\mathrm{s}} $, and $ \mathrm{t}\overline{\mathrm{b}} $. The right panel shows the widths as functions of $ \mathit{m}_{\mathrm{A}} $ for $ \mathrm{A} \to \mathrm{b}\overline{\mathrm{b}} $, $ \mathrm{g}\mathrm{g} $, $ \tau^{+}\tau^{-} $, $ \mathrm{c}\overline{\mathrm{c}} $, and $ \mu^{+}\mu^{-} $.

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Figure 2-a:
Partial decay widths of the charged Higgs boson (left) and of the CP-odd Higgs boson (right) in the Type-I 2HDM at $ \tan\beta = $ 1, calculated with 2HDMC. The left panel shows the widths as functions of $ \mathit{m}_{\mathrm{H^+}} $, for $ \mathrm{H^+} \to \mathrm{W^+}\mathrm{A} $ with $ \mathit{m}_{\mathrm{A}} = $ 15 GeV, $ (\mathit{m}_{\mathrm{H^+}} - 30 \text{GeV}) $, and $ \mathit{m}_{\mathrm{H^+}} - \mathit{m}_{\mathrm{W}} $, together with the fermionic modes $ \mathrm{H^+} \to \tau^{+}\nu $, $ \mathrm{c}\overline{\mathrm{s}} $, and $ \mathrm{t}\overline{\mathrm{b}} $. The right panel shows the widths as functions of $ \mathit{m}_{\mathrm{A}} $ for $ \mathrm{A} \to \mathrm{b}\overline{\mathrm{b}} $, $ \mathrm{g}\mathrm{g} $, $ \tau^{+}\tau^{-} $, $ \mathrm{c}\overline{\mathrm{c}} $, and $ \mu^{+}\mu^{-} $.

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Figure 2-b:
Partial decay widths of the charged Higgs boson (left) and of the CP-odd Higgs boson (right) in the Type-I 2HDM at $ \tan\beta = $ 1, calculated with 2HDMC. The left panel shows the widths as functions of $ \mathit{m}_{\mathrm{H^+}} $, for $ \mathrm{H^+} \to \mathrm{W^+}\mathrm{A} $ with $ \mathit{m}_{\mathrm{A}} = $ 15 GeV, $ (\mathit{m}_{\mathrm{H^+}} - 30 \text{GeV}) $, and $ \mathit{m}_{\mathrm{H^+}} - \mathit{m}_{\mathrm{W}} $, together with the fermionic modes $ \mathrm{H^+} \to \tau^{+}\nu $, $ \mathrm{c}\overline{\mathrm{s}} $, and $ \mathrm{t}\overline{\mathrm{b}} $. The right panel shows the widths as functions of $ \mathit{m}_{\mathrm{A}} $ for $ \mathrm{A} \to \mathrm{b}\overline{\mathrm{b}} $, $ \mathrm{g}\mathrm{g} $, $ \tau^{+}\tau^{-} $, $ \mathrm{c}\overline{\mathrm{c}} $, and $ \mu^{+}\mu^{-} $.

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Figure 3:
Predicted signal branching fraction $ \mathcal{B}_\text{sig} \equiv \mathcal{B}(\mathrm{t} \to \mathrm{H^+}\mathrm{b}) \times \mathcal{B}(\mathrm{H^+} \to \mathrm{W^+}\mathrm{A}) \times \mathcal{B}(\mathrm{A} \to \mu^{+}\mu^{-}) $ in the Type-I 2HDM, calculated with 2HDMC, in the $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) $ plane at $ \tan\beta = $ 1 (left) and in the $ (\mathit{m}_{\mathrm{A}}, \tan\beta) $ plane at $ \mathit{m}_{\mathrm{H^+}} = $ 160 GeV (right).

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Figure 3-a:
Predicted signal branching fraction $ \mathcal{B}_\text{sig} \equiv \mathcal{B}(\mathrm{t} \to \mathrm{H^+}\mathrm{b}) \times \mathcal{B}(\mathrm{H^+} \to \mathrm{W^+}\mathrm{A}) \times \mathcal{B}(\mathrm{A} \to \mu^{+}\mu^{-}) $ in the Type-I 2HDM, calculated with 2HDMC, in the $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) $ plane at $ \tan\beta = $ 1 (left) and in the $ (\mathit{m}_{\mathrm{A}}, \tan\beta) $ plane at $ \mathit{m}_{\mathrm{H^+}} = $ 160 GeV (right).

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Figure 3-b:
Predicted signal branching fraction $ \mathcal{B}_\text{sig} \equiv \mathcal{B}(\mathrm{t} \to \mathrm{H^+}\mathrm{b}) \times \mathcal{B}(\mathrm{H^+} \to \mathrm{W^+}\mathrm{A}) \times \mathcal{B}(\mathrm{A} \to \mu^{+}\mu^{-}) $ in the Type-I 2HDM, calculated with 2HDMC, in the $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) $ plane at $ \tan\beta = $ 1 (left) and in the $ (\mathit{m}_{\mathrm{A}}, \tan\beta) $ plane at $ \mathit{m}_{\mathrm{H^+}} = $ 160 GeV (right).

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Figure 4:
Dimuon invariant mass distributions after the baseline selection. The left panel shows the OS dimuon mass in the $ \mathrm{e}\mu\mu $ channel, and the center and right panels show $ \mathit{m}(\mu^{+}\mu^{-})_ < $ and $ \mathit{m}(\mu^{+}\mu^{-})_ > $ in the $ \mu\mu\mu $ channel, respectively. The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. Selected signal mass hypotheses with $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (70, 15) $, $ (100, 60) $, $ (130, 90) $, and $ (160, 155) \text{GeV} $ are overlaid, normalized to a signal cross section of 30 fb at 13 TeV and scaled by the ratio of $ \mathrm{t} \overline{\mathrm{t}} $ cross sections at 13.6 and 13 TeV for the Run 3 data. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 4-a:
Dimuon invariant mass distributions after the baseline selection. The left panel shows the OS dimuon mass in the $ \mathrm{e}\mu\mu $ channel, and the center and right panels show $ \mathit{m}(\mu^{+}\mu^{-})_ < $ and $ \mathit{m}(\mu^{+}\mu^{-})_ > $ in the $ \mu\mu\mu $ channel, respectively. The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. Selected signal mass hypotheses with $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (70, 15) $, $ (100, 60) $, $ (130, 90) $, and $ (160, 155) \text{GeV} $ are overlaid, normalized to a signal cross section of 30 fb at 13 TeV and scaled by the ratio of $ \mathrm{t} \overline{\mathrm{t}} $ cross sections at 13.6 and 13 TeV for the Run 3 data. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 4-b:
Dimuon invariant mass distributions after the baseline selection. The left panel shows the OS dimuon mass in the $ \mathrm{e}\mu\mu $ channel, and the center and right panels show $ \mathit{m}(\mu^{+}\mu^{-})_ < $ and $ \mathit{m}(\mu^{+}\mu^{-})_ > $ in the $ \mu\mu\mu $ channel, respectively. The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. Selected signal mass hypotheses with $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (70, 15) $, $ (100, 60) $, $ (130, 90) $, and $ (160, 155) \text{GeV} $ are overlaid, normalized to a signal cross section of 30 fb at 13 TeV and scaled by the ratio of $ \mathrm{t} \overline{\mathrm{t}} $ cross sections at 13.6 and 13 TeV for the Run 3 data. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 4-c:
Dimuon invariant mass distributions after the baseline selection. The left panel shows the OS dimuon mass in the $ \mathrm{e}\mu\mu $ channel, and the center and right panels show $ \mathit{m}(\mu^{+}\mu^{-})_ < $ and $ \mathit{m}(\mu^{+}\mu^{-})_ > $ in the $ \mu\mu\mu $ channel, respectively. The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. Selected signal mass hypotheses with $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (70, 15) $, $ (100, 60) $, $ (130, 90) $, and $ (160, 155) \text{GeV} $ are overlaid, normalized to a signal cross section of 30 fb at 13 TeV and scaled by the ratio of $ \mathrm{t} \overline{\mathrm{t}} $ cross sections at 13.6 and 13 TeV for the Run 3 data. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 5:
ROC curves for the ParticleNet classifiers for the signal mass hypotheses $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (160, 85) \text{GeV} $ (left), $ (130, 90) \text{GeV} $ (center), and $ (100, 95) \text{GeV} $ (right). Each panel shows the signal-versus-background curves for the three background classes, evaluated on the test data set (solid) and on the training data set (dotted), with the corresponding AUC values quoted in the panel. The diagonal line indicates the performance of a classifier with no discrimination power.

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Figure 5-a:
ROC curves for the ParticleNet classifiers for the signal mass hypotheses $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (160, 85) \text{GeV} $ (left), $ (130, 90) \text{GeV} $ (center), and $ (100, 95) \text{GeV} $ (right). Each panel shows the signal-versus-background curves for the three background classes, evaluated on the test data set (solid) and on the training data set (dotted), with the corresponding AUC values quoted in the panel. The diagonal line indicates the performance of a classifier with no discrimination power.

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Figure 5-b:
ROC curves for the ParticleNet classifiers for the signal mass hypotheses $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (160, 85) \text{GeV} $ (left), $ (130, 90) \text{GeV} $ (center), and $ (100, 95) \text{GeV} $ (right). Each panel shows the signal-versus-background curves for the three background classes, evaluated on the test data set (solid) and on the training data set (dotted), with the corresponding AUC values quoted in the panel. The diagonal line indicates the performance of a classifier with no discrimination power.

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Figure 5-c:
ROC curves for the ParticleNet classifiers for the signal mass hypotheses $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (160, 85) \text{GeV} $ (left), $ (130, 90) \text{GeV} $ (center), and $ (100, 95) \text{GeV} $ (right). Each panel shows the signal-versus-background curves for the three background classes, evaluated on the test data set (solid) and on the training data set (dotted), with the corresponding AUC values quoted in the panel. The diagonal line indicates the performance of a classifier with no discrimination power.

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Figure 6:
Measured nonprompt lepton misidentification rates as a function of the cone-corrected transverse momentum $ p_{\mathrm{T}}^{\text{corr}} $ and $ |\eta| $ in the 2018 data-taking period, for electrons (left) and muons (right). Only statistical uncertainties are shown.

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Figure 6-a:
Measured nonprompt lepton misidentification rates as a function of the cone-corrected transverse momentum $ p_{\mathrm{T}}^{\text{corr}} $ and $ |\eta| $ in the 2018 data-taking period, for electrons (left) and muons (right). Only statistical uncertainties are shown.

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Figure 6-b:
Measured nonprompt lepton misidentification rates as a function of the cone-corrected transverse momentum $ p_{\mathrm{T}}^{\text{corr}} $ and $ |\eta| $ in the 2018 data-taking period, for electrons (left) and muons (right). Only statistical uncertainties are shown.

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Figure 7:
Distributions of the Z boson candidate invariant mass in the Z+nonprompt CR for the $ \mathrm{e}\mu\mu $ (left) and $ \mu\mu\mu $ (center) channels, and of the dielectron invariant mass in the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{Z} $ CR (right), for the combined Run 2 and Run 3 data sets. The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 7-a:
Distributions of the Z boson candidate invariant mass in the Z+nonprompt CR for the $ \mathrm{e}\mu\mu $ (left) and $ \mu\mu\mu $ (center) channels, and of the dielectron invariant mass in the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{Z} $ CR (right), for the combined Run 2 and Run 3 data sets. The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 7-b:
Distributions of the Z boson candidate invariant mass in the Z+nonprompt CR for the $ \mathrm{e}\mu\mu $ (left) and $ \mu\mu\mu $ (center) channels, and of the dielectron invariant mass in the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{Z} $ CR (right), for the combined Run 2 and Run 3 data sets. The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 7-c:
Distributions of the Z boson candidate invariant mass in the Z+nonprompt CR for the $ \mathrm{e}\mu\mu $ (left) and $ \mu\mu\mu $ (center) channels, and of the dielectron invariant mass in the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{Z} $ CR (right), for the combined Run 2 and Run 3 data sets. The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 8:
Distributions of the modified likelihood ratio $ \text{LR}_\text{modified} $ in the SR for the mass hypotheses $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (160, 85) \text{GeV} $ (left), $ (130, 90) \text{GeV} $ (center), and $ (100, 95) \text{GeV} $ (right). The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. The signal distribution in each panel corresponds to the mass hypothesis indicated in that panel, normalized to a cross section of 30 fb in Run 2 and scaled by the ratio of $ \mathrm{t} \overline{\mathrm{t}} $ cross sections at 13.6 and 13 TeV for Run 3. The vertical dashed line indicates the working-point threshold, defined by a background efficiency of 20% as described in the text. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 8-a:
Distributions of the modified likelihood ratio $ \text{LR}_\text{modified} $ in the SR for the mass hypotheses $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (160, 85) \text{GeV} $ (left), $ (130, 90) \text{GeV} $ (center), and $ (100, 95) \text{GeV} $ (right). The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. The signal distribution in each panel corresponds to the mass hypothesis indicated in that panel, normalized to a cross section of 30 fb in Run 2 and scaled by the ratio of $ \mathrm{t} \overline{\mathrm{t}} $ cross sections at 13.6 and 13 TeV for Run 3. The vertical dashed line indicates the working-point threshold, defined by a background efficiency of 20% as described in the text. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 8-b:
Distributions of the modified likelihood ratio $ \text{LR}_\text{modified} $ in the SR for the mass hypotheses $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (160, 85) \text{GeV} $ (left), $ (130, 90) \text{GeV} $ (center), and $ (100, 95) \text{GeV} $ (right). The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. The signal distribution in each panel corresponds to the mass hypothesis indicated in that panel, normalized to a cross section of 30 fb in Run 2 and scaled by the ratio of $ \mathrm{t} \overline{\mathrm{t}} $ cross sections at 13.6 and 13 TeV for Run 3. The vertical dashed line indicates the working-point threshold, defined by a background efficiency of 20% as described in the text. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 8-c:
Distributions of the modified likelihood ratio $ \text{LR}_\text{modified} $ in the SR for the mass hypotheses $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (160, 85) \text{GeV} $ (left), $ (130, 90) \text{GeV} $ (center), and $ (100, 95) \text{GeV} $ (right). The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. The signal distribution in each panel corresponds to the mass hypothesis indicated in that panel, normalized to a cross section of 30 fb in Run 2 and scaled by the ratio of $ \mathrm{t} \overline{\mathrm{t}} $ cross sections at 13.6 and 13 TeV for Run 3. The vertical dashed line indicates the working-point threshold, defined by a background efficiency of 20% as described in the text. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 9:
The ParticleNet-selected $ \mathit{m}(\mu^{+}\mu^{-}) $ templates before the fit, for the $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (130, 90) \text{GeV} $ mass hypothesis, for the $ \mathrm{e}\mu\mu $ (left column) and $ \mu\mu\mu $ (right column) channels in the Run 2 (upper row, 138 fb$^{-1}$, $ \sqrt{s} = $ 13 TeV) and Run 3 (lower row, 62 fb$^{-1}$, $ \sqrt{s} = $ 13.6 TeV) data-taking periods. The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. The signal template, normalized to a signal cross section of 5 fb, is overlaid. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 9-a:
The ParticleNet-selected $ \mathit{m}(\mu^{+}\mu^{-}) $ templates before the fit, for the $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (130, 90) \text{GeV} $ mass hypothesis, for the $ \mathrm{e}\mu\mu $ (left column) and $ \mu\mu\mu $ (right column) channels in the Run 2 (upper row, 138 fb$^{-1}$, $ \sqrt{s} = $ 13 TeV) and Run 3 (lower row, 62 fb$^{-1}$, $ \sqrt{s} = $ 13.6 TeV) data-taking periods. The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. The signal template, normalized to a signal cross section of 5 fb, is overlaid. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 9-b:
The ParticleNet-selected $ \mathit{m}(\mu^{+}\mu^{-}) $ templates before the fit, for the $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (130, 90) \text{GeV} $ mass hypothesis, for the $ \mathrm{e}\mu\mu $ (left column) and $ \mu\mu\mu $ (right column) channels in the Run 2 (upper row, 138 fb$^{-1}$, $ \sqrt{s} = $ 13 TeV) and Run 3 (lower row, 62 fb$^{-1}$, $ \sqrt{s} = $ 13.6 TeV) data-taking periods. The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. The signal template, normalized to a signal cross section of 5 fb, is overlaid. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 9-c:
The ParticleNet-selected $ \mathit{m}(\mu^{+}\mu^{-}) $ templates before the fit, for the $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (130, 90) \text{GeV} $ mass hypothesis, for the $ \mathrm{e}\mu\mu $ (left column) and $ \mu\mu\mu $ (right column) channels in the Run 2 (upper row, 138 fb$^{-1}$, $ \sqrt{s} = $ 13 TeV) and Run 3 (lower row, 62 fb$^{-1}$, $ \sqrt{s} = $ 13.6 TeV) data-taking periods. The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. The signal template, normalized to a signal cross section of 5 fb, is overlaid. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 9-d:
The ParticleNet-selected $ \mathit{m}(\mu^{+}\mu^{-}) $ templates before the fit, for the $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (130, 90) \text{GeV} $ mass hypothesis, for the $ \mathrm{e}\mu\mu $ (left column) and $ \mu\mu\mu $ (right column) channels in the Run 2 (upper row, 138 fb$^{-1}$, $ \sqrt{s} = $ 13 TeV) and Run 3 (lower row, 62 fb$^{-1}$, $ \sqrt{s} = $ 13.6 TeV) data-taking periods. The data are compared with the sum of the background predictions, which are grouped into the nonprompt lepton, photon conversion, $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{X} $, diboson, and other categories defined in Section 3, and the hatched band represents the combined statistical and systematic uncertainty in the prediction. The signal template, normalized to a signal cross section of 5 fb, is overlaid. The lower panel of each distribution shows the ratio of the data to the total background prediction.

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Figure 10:
The ParticleNet-selected $ \mathit{m}(\mu^{+}\mu^{-}) $ templates after the signal-plus-background fit, for the $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (130, 90) \text{GeV} $ mass hypothesis, for the $ \mathrm{e}\mu\mu $ (left column) and $ \mu\mu\mu $ (right column) channels in the Run 2 (upper row, 138 fb$^{-1}$, $ \sqrt{s} = $ 13 TeV) and Run 3 (lower row, 62 fb$^{-1}$, $ \sqrt{s} = $ 13.6 TeV) data-taking periods. The fitted signal cross section $ \sigma_\text{sig} $ is given in each panel. The hatched band indicates the total uncertainty after the fit.

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Figure 10-a:
The ParticleNet-selected $ \mathit{m}(\mu^{+}\mu^{-}) $ templates after the signal-plus-background fit, for the $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (130, 90) \text{GeV} $ mass hypothesis, for the $ \mathrm{e}\mu\mu $ (left column) and $ \mu\mu\mu $ (right column) channels in the Run 2 (upper row, 138 fb$^{-1}$, $ \sqrt{s} = $ 13 TeV) and Run 3 (lower row, 62 fb$^{-1}$, $ \sqrt{s} = $ 13.6 TeV) data-taking periods. The fitted signal cross section $ \sigma_\text{sig} $ is given in each panel. The hatched band indicates the total uncertainty after the fit.

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Figure 10-b:
The ParticleNet-selected $ \mathit{m}(\mu^{+}\mu^{-}) $ templates after the signal-plus-background fit, for the $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (130, 90) \text{GeV} $ mass hypothesis, for the $ \mathrm{e}\mu\mu $ (left column) and $ \mu\mu\mu $ (right column) channels in the Run 2 (upper row, 138 fb$^{-1}$, $ \sqrt{s} = $ 13 TeV) and Run 3 (lower row, 62 fb$^{-1}$, $ \sqrt{s} = $ 13.6 TeV) data-taking periods. The fitted signal cross section $ \sigma_\text{sig} $ is given in each panel. The hatched band indicates the total uncertainty after the fit.

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Figure 10-c:
The ParticleNet-selected $ \mathit{m}(\mu^{+}\mu^{-}) $ templates after the signal-plus-background fit, for the $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (130, 90) \text{GeV} $ mass hypothesis, for the $ \mathrm{e}\mu\mu $ (left column) and $ \mu\mu\mu $ (right column) channels in the Run 2 (upper row, 138 fb$^{-1}$, $ \sqrt{s} = $ 13 TeV) and Run 3 (lower row, 62 fb$^{-1}$, $ \sqrt{s} = $ 13.6 TeV) data-taking periods. The fitted signal cross section $ \sigma_\text{sig} $ is given in each panel. The hatched band indicates the total uncertainty after the fit.

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Figure 10-d:
The ParticleNet-selected $ \mathit{m}(\mu^{+}\mu^{-}) $ templates after the signal-plus-background fit, for the $ (\mathit{m}_{\mathrm{H^+}}, \mathit{m}_{\mathrm{A}}) = (130, 90) \text{GeV} $ mass hypothesis, for the $ \mathrm{e}\mu\mu $ (left column) and $ \mu\mu\mu $ (right column) channels in the Run 2 (upper row, 138 fb$^{-1}$, $ \sqrt{s} = $ 13 TeV) and Run 3 (lower row, 62 fb$^{-1}$, $ \sqrt{s} = $ 13.6 TeV) data-taking periods. The fitted signal cross section $ \sigma_\text{sig} $ is given in each panel. The hatched band indicates the total uncertainty after the fit.

png pdf
Figure 11:
The $ \mathit{m}(\mu^{+}\mu^{-}) $ distribution after the background-only fit, assembled from the fits at the seed hypotheses with $ \mathit{m}_{\mathrm{H^+}} = $ 160 GeV as described in the text and shown in bins of 1 GeV. The interval between the vertical dashed lines is taken from the ParticleNet-selected fits, in which the $ \text{LR}_\text{modified} $ requirement is applied, and the rest of the distribution from the dimuon-mass-only fits. The hatched band indicates the total uncertainty after the fit, and the lower panel shows the ratio of the data to the fitted background.

png pdf
Figure 12:
Expected and observed upper limits at 95% CL on the signal branching fraction $ \mathcal{B}_\text{sig} $ as a function of $ \mathit{m}_{\mathrm{A}} $, shown in a separate panel for each signal mass hypothesis, from the uppermost to the lowest panel $ \mathit{m}_{\mathrm{H^+}} = $ 70, 85, 100, 115, 130, 145, and 160 GeV, combining the Run 2 (138 fb$^{-1}$, $ \sqrt{s} = $ 13 TeV) and Run 3 (62 fb$^{-1}$, $ \sqrt{s} = $ 13.6 TeV) data sets. The limits are evaluated at every mass hypothesis of the scan in $ \mathit{m}_{\mathrm{A}} $. For $ \mathit{m}_{\mathrm{H^+}} \ge $ 100 GeV, the vertical dashed lines delimit the region 82.5 $ \le \mathit{m}_{\mathrm{A}} \le $ 97.5 GeV, in which the ParticleNet-selected templates are used. Outside this region the dimuon-mass-only templates are used.

png pdf
Figure 13:
Expected and observed upper limits at 95% CL on the signal cross section $ \sigma_\text{sig} $ at $ \sqrt{s} = $ 13 TeV as a function of $ \mathit{m}_{\mathrm{A}} $, shown in a separate panel for each signal mass hypothesis, from the uppermost to the lowest panel $ \mathit{m}_{\mathrm{H^+}} = $ 70, 85, 100, 115, 130, 145, and 160 GeV, combining the Run 2 (138 fb$^{-1}$, $ \sqrt{s} = $ 13 TeV) and Run 3 (62 fb$^{-1}$, $ \sqrt{s} = $ 13.6 TeV) data sets. The conversion from $ \mathcal{B}_\text{sig} $ to $ \sigma_\text{sig} $ uses the $ \mathrm{t}\overline{\mathrm{t}} $ production cross section at 13 TeV given in Section 3. The limits are evaluated at every mass hypothesis of the scan in $ \mathit{m}_{\mathrm{A}} $. For $ \mathit{m}_{\mathrm{H^+}} \ge $ 100 GeV, the vertical dashed lines delimit the region 82.5 $ \le \mathit{m}_{\mathrm{A}} \le $ 97.5 GeV, in which the ParticleNet-selected templates are used. Outside this region the dimuon-mass-only templates are used.
Tables

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Table 1:
Event selection criteria for the $ \mathrm{e}\mu\mu $ and $ \mu\mu\mu $ signal channels. The muons are ordered by decreasing $ p_{\mathrm{T}} $, with $ \mu_1 $ and $ \mu_2 $ denoting the highest- and second-highest-$ p_{\mathrm{T}} $ muon, respectively, and $ q_\mu $ is the muon electric charge in units of the elementary charge.

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Table 2:
Expected background yields, before the maximum likelihood fit, in the SRs for the Run 2 (2016--2018, 138 fb$^{-1}$, $ \sqrt{s} = $ 13 TeV) and Run 3 (2022--2023, 62 fb$^{-1}$, $ \sqrt{s} = $ 13.6 TeV) data-taking periods, together with the observed event counts. The on-Z columns count the subset of events with a dimuon mass within 85 $ < \mathit{m}(\mu^{+}\mu^{-}) < $ 95 GeV, for either OS dimuon pair in the $ \mu\mu\mu $ channel. The uncertainties in the background yields include the statistical and systematic contributions. For yields whose uncertainty exceeds the expected value, an upper bound given by the expected yield plus one standard deviation is quoted, while the total background includes the expected yield.

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Table 3:
Product of signal acceptance and selection efficiency, in percent, for signal mass hypotheses with $ \mathit{m}_{\mathrm{H^+}} = $ 160 GeV, determined from simulation. The values include the generator-level requirement that at least one W boson decays leptonically and the requirement that the dimuon mass lies within $ \pm 5\sigma_{\mu\mu} $ of the fitted peak position, and are luminosity-weighted averages over the data-taking years of the Run 2 ($ \sqrt{s} = $ 13 TeV) and Run 3 ($ \sqrt{s} = $ 13.6 TeV) periods.

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Table 4:
Summary of systematic uncertainty sources, their correlation across data-taking years, and the processes to which they apply. In the correlation column, ``none'' denotes that an independent uncertainty is assigned to each data-taking year, ``run period'' denotes uncertainties correlated across the data-taking years of the same run period but uncorrelated between Run 2 and Run 3, ``full'' denotes a single uncertainty shared by Run 2 and Run 3, and ``partial'' indicates that only some components are correlated, as described in the text. The last two rows apply only to the ParticleNet-selected templates, for which the resolution term replaces the signal interpolation resolution term.
Summary
A search for a light charged Higgs boson in the decay chain $ \mathrm{H^+} \to \mathrm{W^+}\mathrm{A} \to \mathrm{W^+}\mu^{+}\mu^{-} $, produced via $ \mathrm{t} \to \mathrm{H^+}\mathrm{b} $ in top quark pair production, is presented using proton-proton collision data collected by the CMS experiment at the CERN LHC, corresponding to 138 fb$^{-1}$ at $ \sqrt{s} = $ 13 TeV and 62 fb$^{-1}$ at $ \sqrt{s} = $ 13.6 TeV, for a total of 200 fb$^{-1}$. Events with three leptons in the $ \mathrm{e}\mu\mu $ or $ \mu\mu\mu $ final state and at least two jets, of which at least one is identified as originating from a bottom quark, are selected, and the signal is searched for as a narrow peak in the dimuon invariant mass distribution. Mass hypotheses with $ \mathit{m}_{\mathrm{H^+}} $ from 70 to 160 GeV and $ \mathit{m}_{\mathrm{A}} $ from 15 GeV up to $ (\mathit{m}_{\mathrm{H^+}} - 5 \text{GeV}) $ are explored. No significant excess over the standard model prediction is observed. Model-independent upper limits at 95% confidence level are set on the branching fraction $ \mathcal{B}_\text{sig} \equiv \mathcal{B}(\mathrm{t} \to \mathrm{H^+}\mathrm{b}) \times \mathcal{B}(\mathrm{H^+} \to \mathrm{W^+}\mathrm{A}) \times \mathcal{B}(\mathrm{A} \to \mu^{+}\mu^{-}) $ in the range $ ( $ 0.5--6.8 $) \times 10^{-6} $, depending on the mass hypothesis, and on the corresponding signal cross section $ \sigma_\text{sig} = 2\sigma(\mathrm{p}\mathrm{p} \to \mathrm{t}\overline{\mathrm{t}}) \times \mathcal{B}_\text{sig} $ at $ \sqrt{s} = $ 13 TeV. These results provide the first constraints in the off-shell W boson regime. The sensitivity is limited by the statistical uncertainty in the data and is expected to improve with the data of the ongoing LHC run and of the High-Luminosity LHC.
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Compact Muon Solenoid
LHC, CERN