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| CMS-PAS-HIG-17-005 | ||
| Search for production of a Higgs boson and a single top quark in multilepton final states in proton collisions at $\sqrt{s}= $ 13 TeV | ||
| CMS Collaboration | ||
| May 2017 | ||
| Abstract: A search for the production of a Higgs boson in association with a single top quark is presented, focusing on leptonic signatures provided by the $\mathrm{H}\rightarrow\mathrm{W}\mathrm{W}$, $\mathrm{H}\rightarrow\tau\tau$, and $\mathrm{H}\rightarrow\mathrm{Z}\mathrm{Z}$ decay modes. Due to strong interference of the two main leading-order diagrams, the production cross section of this process is highly sensitive to the relative sign of the top-Higgs coupling modifier, $\kappa_{\mathrm{t}}$, and the coupling modifier of vector bosons to the Higgs, $\kappa_{\mathrm{V}}$. The analysis exploits signatures with two same-sign leptons or three leptons in the final state, and uses the 2016 data sample collected with the CMS detector at the LHC at a center of mass energy of 13 TeV, which corresponds to an integrated luminosity of 35.9 fb$^{-1}$. Multivariate techniques are used to discriminate the signal from the dominant backgrounds. The analysis yields a 95% confidence level (C.L.) upper limit on the combined $\mathrm{tH}+\mathrm{t\overline{t}H}$ production cross section times branching ratio of 0.64 pb, with an expected limit of 0.32 pb, for a scenario with $\kappa_\mathrm{t}=-1.0$ and $\kappa_\mathrm{V}= 1.0$. Values of $\kappa_\mathrm{t}$ outside the range of $-1.25$ to $+1.60$ are excluded at 95% C.L., assuming $\kappa_\mathrm{V}=1.0$. | ||
| Links: CDS record (PDF) ; inSPIRE record ; CADI line (restricted) ; | ||
| Figures & Tables | Summary | Additional Figures | References | CMS Publications |
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| Figures | |
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Figure 1:
Dominant leading order Feynman diagrams for the production of ${\mathrm{ t } \mathrm{ H } \mathrm {q}} $ events. The Higgs boson is either radiated from the W boson (left) or the top quark (right). |
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Figure 1-a:
Dominant leading order Feynman diagram for the production of ${\mathrm{ t } \mathrm{ H } \mathrm {q}} $ events. The Higgs boson is radiated from the W boson. |
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Figure 1-b:
Dominant leading order Feynman diagram for the production of ${\mathrm{ t } \mathrm{ H } \mathrm {q}} $ events. The Higgs boson is radiated from the top quark. |
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Figure 2:
Distributions of discriminating variables for the event pre-selection for the same-sign ${\mu \mu } $ channel, normalized to 35.9 fb$^{-1}$, before fitting the signal discriminant to the observed data. Uncertainties are statistical and unconstrained (pre-fit) normalization systematics. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. |
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Figure 2-a:
Distribution for the event pre-selection for the same-sign ${\mu \mu } $ channel, normalized to 35.9 fb$^{-1}$, before fitting the signal discriminant to the observed data. Uncertainties are statistical and unconstrained (pre-fit) normalization systematics. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. |
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Figure 2-b:
Distribution for the event pre-selection for the same-sign ${\mu \mu } $ channel, normalized to 35.9 fb$^{-1}$, before fitting the signal discriminant to the observed data. Uncertainties are statistical and unconstrained (pre-fit) normalization systematics. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. |
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Figure 2-c:
Distribution for the event pre-selection for the same-sign ${\mu \mu } $ channel, normalized to 35.9 fb$^{-1}$, before fitting the signal discriminant to the observed data. Uncertainties are statistical and unconstrained (pre-fit) normalization systematics. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. |
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Figure 3:
Distributions of discriminating variables for the event pre-selection for the same-sign${\mathrm{ e } \mu } $ channel, normalized to 35.9 fb$^{-1}$, before fitting the signal discriminant to the observed data. Uncertainties are statistical and unconstrained (pre-fit) normalization systematics. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. |
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Figure 3-a:
Distribution for the event pre-selection for the same-sign${\mathrm{ e } \mu } $ channel, normalized to 35.9 fb$^{-1}$, before fitting the signal discriminant to the observed data. Uncertainties are statistical and unconstrained (pre-fit) normalization systematics. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. |
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Figure 3-b:
Distribution for the event pre-selection for the same-sign${\mathrm{ e } \mu } $ channel, normalized to 35.9 fb$^{-1}$, before fitting the signal discriminant to the observed data. Uncertainties are statistical and unconstrained (pre-fit) normalization systematics. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. |
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Figure 3-c:
Distribution for the event pre-selection for the same-sign${\mathrm{ e } \mu } $ channel, normalized to 35.9 fb$^{-1}$, before fitting the signal discriminant to the observed data. Uncertainties are statistical and unconstrained (pre-fit) normalization systematics. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. |
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Figure 4:
Distributions of discriminating variables for the event pre-selection for the three lepton channel, normalized to 35.9 fb$^{-1}$, before fitting the signal discriminant to the observed data. Uncertainties are statistical and unconstrained (pre-fit) normalization systematics. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. |
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Figure 4-a:
Distribution for the event pre-selection for the three lepton channel, normalized to 35.9 fb$^{-1}$, before fitting the signal discriminant to the observed data. Uncertainties are statistical and unconstrained (pre-fit) normalization systematics. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. |
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Figure 4-b:
Distribution for the event pre-selection for the three lepton channel, normalized to 35.9 fb$^{-1}$, before fitting the signal discriminant to the observed data. Uncertainties are statistical and unconstrained (pre-fit) normalization systematics. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. |
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Figure 4-c:
Distribution for the event pre-selection for the three lepton channel, normalized to 35.9 fb$^{-1}$, before fitting the signal discriminant to the observed data. Uncertainties are statistical and unconstrained (pre-fit) normalization systematics. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. |
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Figure 5:
Pre-fit BDT classifier outputs, for the three-lepton channel (left), ${\mathrm{ e } \mu } $ (center), and ${\mu \mu } $ (right), for 35.9 fb$^{-1}$, for training against ${{\mathrm{ t } \mathrm{ \bar{t} } } \mathrm {V}} $ (top row) and against ${\mathrm{ t } \mathrm{ \bar{t} } } $ (bottom row). In the box below each distribution, the ratio of the observed and predicted event yields is shown. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. The grey band represents the unconstrained (pre-fit) statistical and systematical uncertainties. |
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Figure 5-a:
Pre-fit BDT classifier output, for the three-lepton channel , for 35.9 fb$^{-1}$, for training against ${{\mathrm{ t } \mathrm{ \bar{t} } } \mathrm {V}} $. In the box below the distribution, the ratio of the observed and predicted event yields is shown. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. The grey band represents the unconstrained (pre-fit) statistical and systematical uncertainties. |
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Figure 5-b:
Pre-fit BDT classifier output, for ${\mathrm{ e } \mu } $, for 35.9 fb$^{-1}$, for training against ${{\mathrm{ t } \mathrm{ \bar{t} } } \mathrm {V}} $. In the box below the distribution, the ratio of the observed and predicted event yields is shown. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. The grey band represents the unconstrained (pre-fit) statistical and systematical uncertainties. |
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Figure 5-c:
Pre-fit BDT classifier output, for ${\mu \mu } $, for 35.9 fb$^{-1}$, for training against ${{\mathrm{ t } \mathrm{ \bar{t} } } \mathrm {V}} $. In the box below the distribution, the ratio of the observed and predicted event yields is shown. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. The grey band represents the unconstrained (pre-fit) statistical and systematical uncertainties. |
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Figure 5-d:
Pre-fit BDT classifier output, for the three-lepton channel, for 35.9 fb$^{-1}$, for training against ${\mathrm{ t } \mathrm{ \bar{t} } } $. In the box below the distribution, the ratio of the observed and predicted event yields is shown. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. The grey band represents the unconstrained (pre-fit) statistical and systematical uncertainties. |
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Figure 5-e:
Pre-fit BDT classifier output, for ${\mathrm{ e } \mu } $, for 35.9 fb$^{-1}$, for training against ${\mathrm{ t } \mathrm{ \bar{t} } } $. In the box below the distribution, the ratio of the observed and predicted event yields is shown. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. The grey band represents the unconstrained (pre-fit) statistical and systematical uncertainties. |
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Figure 5-f:
Pre-fit BDT classifier output, for ${\mu \mu } $, for 35.9 fb$^{-1}$, for training against ${\mathrm{ t } \mathrm{ \bar{t} } } $. In the box below the distribution, the ratio of the observed and predicted event yields is shown. The shape of the two ${\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0, {\kappa _\text {V}} =1.0$. The grey band represents the unconstrained (pre-fit) statistical and systematical uncertainties. |
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Figure 6:
Post-fit categorized BDT classifier outputs as used in the maximum likelihood fit for the three-lepton channel (left), ${\mathrm{ e } \mu } $ (center), and ${\mu \mu } $ (right), for 35.9 fb$^{-1}$. In the box below each distribution, the ratio of the observed and predicted event yields is shown. |
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Figure 6-a:
Post-fit categorized BDT classifier outputs as used in the maximum likelihood fit for the three-lepton channel, for 35.9 fb$^{-1}$. In the box below the distribution, the ratio of the observed and predicted event yields is shown. |
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Figure 6-b:
Post-fit categorized BDT classifier outputs as used in the maximum likelihood fit for ${\mathrm{ e } \mu } $, for 35.9 fb$^{-1}$. In the box below the distribution, the ratio of the observed and predicted event yields is shown. |
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Figure 6-c:
Post-fit categorized BDT classifier outputs as used in the maximum likelihood fit for ${\mu \mu } $, for 35.9 fb$^{-1}$. In the box below the distribution, the ratio of the observed and predicted event yields is shown. |
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Figure 7:
Observed and expected 95% C.L. upper limit on the $ {\mathrm{ t } \mathrm{ H } } + {{\mathrm{ t } \mathrm{ \bar{t} } } \mathrm {H}} $ cross section times $\mathrm{ H } \to {\mathrm {W}} {\mathrm {W}} ^*+ {\tau \tau } +{\mathrm{ Z } } {\mathrm{ Z } } ^*$ branching fraction for different values of the coupling ratio ${\kappa _\mathrm{ t } } / {\kappa _\text {V}} $. The expected limit is derived from a background-only MC dataset. |
| Tables | |
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Table 1:
Summary of event selection. |
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Table 2:
Data yields and expected backgrounds after the event pre-selection for the three channels in 35.9 fb$^{-1}$ of integrated luminosity. Uncertainties are statistical only. |
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Table 3:
Input variables to the signal discrimination classifier. |
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Table 4:
Expected and observed 95% C.L. upper limits on the $ {\mathrm{ t } \mathrm{ H } } + {{\mathrm{ t } \mathrm{ \bar{t} } } \mathrm {H}} $ production cross section times $\mathrm{ H } \to {\mathrm {W}} {\mathrm {W}} ^*+ {\tau \tau } +{\mathrm{ Z } } {\mathrm{ Z } } ^*$ branching ratio for a scenario of inverted couplings ($ {\kappa _\mathrm{ t } } / {\kappa _\text {V}} =-1.0$, top rows) and for a standard-model-like signal ($ {\kappa _\mathrm{ t } } / {\kappa _\text {V}} =1.0$, bottom rows), in pb. The expected limit is calculated on a background-only MC dataset. |
| Summary |
|
A search for the production of a Higgs boson in association with a single top quark has been presented, using the CMS detector and the full 2016 data sample of pp collisions at 13 TeV, corresponding to an integrated luminosity of 35.9 fb$^{-1}$. Three channels have been analyzed, targeting the Higgs boson decaying to a pair of W or Z bosons, or two $\tau$ leptons and the leptonic decay of the top: two same-sign leptons (${\mu\mu} $, ${\mathrm{ e }\mu} $) and three leptons. This process can benefit from a greatly enhanced production cross section in the case of anomalous top-Higgs couplings, and the results are used to constrain these couplings. Combining the results from all three channels yields a 95% confidence level (C.L.) upper limit on the production cross section times branching ratio of events containing a SM Higgs boson of 0.56 pb, with an expected limit of 0.24 pb. Values of the ratio of Higgs-top coupling modifier ${\kappa_\mathrm{t }} $ and Higgs-vector boson coupling modifier ${\kappa_\text{V}} $ are outside the range $-1.25$ to $+1.60$ are excluded at 95% C.L. |
| Additional Figures | |
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Additional Figure 1:
Pre-fit categorized BDT classifier outputs, for the three-lepton channel (left), $ {\mathrm{ e } \mu } $ (center), and $ {\mu \mu } $ (right), for 35.9 fb$^{-1}$. In the box below each distribution, the ratio of the observed and predicted event yields is shown. The shape of the two $ {\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0$, ${\kappa _\text {V}} =1.0$. The grey band represents the unconstrained (pre-fit) statistical and systematical uncertainties. |
png pdf |
Additional Figure 1-a:
Pre-fit categorized BDT classifier outputs, for the three-lepton channel, for 35.9 fb$^{-1}$. In the box below each distribution, the ratio of the observed and predicted event yields is shown. The shape of the two $ {\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0$, ${\kappa _\text {V}} =1.0$. The grey band represents the unconstrained (pre-fit) statistical and systematical uncertainties. |
png pdf |
Additional Figure 1-b:
Pre-fit categorized BDT classifier outputs, for $ {\mathrm{ e } \mu } $, for 35.9 fb$^{-1}$. In the box below each distribution, the ratio of the observed and predicted event yields is shown. The shape of the two $ {\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0$, ${\kappa _\text {V}} =1.0$. The grey band represents the unconstrained (pre-fit) statistical and systematical uncertainties. |
png pdf |
Additional Figure 1-c:
Pre-fit categorized BDT classifier outputs, for $ {\mu \mu } $, for 35.9 fb$^{-1}$. In the box below each distribution, the ratio of the observed and predicted event yields is shown. The shape of the two $ {\mathrm{ t } \mathrm{ H } } $ signals for $ {\kappa _\mathrm{ t } } =-1.0$ is shown, normalized to their respective cross sections for $ {\kappa _\mathrm{ t } } =-1.0$, ${\kappa _\text {V}} =1.0$. The grey band represents the unconstrained (pre-fit) statistical and systematical uncertainties. |
png pdf |
Additional Figure 2:
Post-fit categorized BDT classifier outputs (on logarithmic scale) as used in the maximum likelihood fit for the three-lepton channel (left), $ {\mathrm{ e } \mu } $ (center), and $ {\mu \mu } $ (right), for 35.9 fb$^{-1}$. In the box below each distribution, the ratio of the observed and predicted event yields is shown. |
png pdf |
Additional Figure 2-a:
Post-fit categorized BDT classifier outputs (on logarithmic scale) as used in the maximum likelihood fit for the three-lepton channel, for 35.9 fb$^{-1}$. In the box below each distribution, the ratio of the observed and predicted event yields is shown. |
png pdf |
Additional Figure 2-b:
Post-fit categorized BDT classifier outputs (on logarithmic scale) as used in the maximum likelihood fit for $ {\mathrm{ e } \mu } $, for 35.9 fb$^{-1}$. In the box below each distribution, the ratio of the observed and predicted event yields is shown. |
png pdf |
Additional Figure 2-c:
Post-fit categorized BDT classifier outputs (on logarithmic scale) as used in the maximum likelihood fit for $ {\mu \mu } $, for 35.9 fb$^{-1}$. In the box below each distribution, the ratio of the observed and predicted event yields is shown. |
png pdf |
Additional Figure 3:
Observed and expected 95% C.L. upper limit on the $ {\mathrm{ t } \mathrm{ H } } + {{\mathrm{ t } {}\mathrm{ \bar{t} } } \mathrm {H}} $ cross section times $\mathrm{ H } \to {\mathrm {W}} {\mathrm {W}} ^*+ {\tau \tau } +{\mathrm{ Z } } {\mathrm{ Z } } ^*$ branching fraction for different values of the coupling ratio ${\kappa _\mathrm{ t } } / {\kappa _\text {V}}$. The expected limit is derived from a MC dataset of SM processes including the contributions from ${{\mathrm{ t } {}\mathrm{ \bar{t} } } \mathrm {H}} $ and $ {\mathrm{ t } \mathrm{ H } } $ expected in the SM. |
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