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CMS-PAS-HIG-18-032
Measurement of Higgs boson production and decay to the $\tau\tau$ final state
Abstract: A measurement of the inclusive cross section $\sigma_{\text{incl}}$ for the production of a Higgs boson decaying into a pair of tau leptons, $\text{H}\to\tau\tau$, is presented. The measurement is based on pp collision data collected by the CMS experiment in 2016 and 2017 corresponding to an integrated luminosity of 77.4 fb$^{-1}$ at a center-of-mass energy of 13 TeV. A value of $\sigma_{\text{incl}}\,\mathcal{B}(\text{H} \rightarrow \tau\tau)=$ 2.56 $\pm$ 0.48 (stat) $\pm$ 0.34 (syst) pb is obtained. Results are also presented in terms of cross sections for individual production modes and kinematic regimes.
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Figures

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Figure 1:
Confusion matrices for the NN classification task described in Section 5.4, for the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states evaluated on the 2017 dataset. Each matrix is normalized such that all entries in each column, corresponding to a given event class, sum up to unity. All event classes enter the matrix with the same statistical weight (i.e. with uniform prevalence).

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Figure 1-a:
Confusion matrices for the NN classification task described in Section 5.4, for the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states evaluated on the 2017 dataset. Each matrix is normalized such that all entries in each column, corresponding to a given event class, sum up to unity. All event classes enter the matrix with the same statistical weight (i.e. with uniform prevalence).

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Figure 1-b:
Confusion matrices for the NN classification task described in Section 5.4, for the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states evaluated on the 2017 dataset. Each matrix is normalized such that all entries in each column, corresponding to a given event class, sum up to unity. All event classes enter the matrix with the same statistical weight (i.e. with uniform prevalence).

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Figure 1-c:
Confusion matrices for the NN classification task described in Section 5.4, for the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states evaluated on the 2017 dataset. Each matrix is normalized such that all entries in each column, corresponding to a given event class, sum up to unity. All event classes enter the matrix with the same statistical weight (i.e. with uniform prevalence).

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Figure 1-d:
Confusion matrices for the NN classification task described in Section 5.4, for the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states evaluated on the 2017 dataset. Each matrix is normalized such that all entries in each column, corresponding to a given event class, sum up to unity. All event classes enter the matrix with the same statistical weight (i.e. with uniform prevalence).

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Figure 2:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mu \tau _{\text {h}} $ final state. All distributions and uncertainties are shown after the fit that has been applied to the data.

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Figure 2-a:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mu \tau _{\text {h}} $ final state. All distributions and uncertainties are shown after the fit that has been applied to the data.

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Figure 2-b:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mu \tau _{\text {h}} $ final state. All distributions and uncertainties are shown after the fit that has been applied to the data.

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Figure 2-c:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mu \tau _{\text {h}} $ final state. All distributions and uncertainties are shown after the fit that has been applied to the data.

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Figure 2-d:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mu \tau _{\text {h}} $ final state. All distributions and uncertainties are shown after the fit that has been applied to the data.

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Figure 2-e:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mu \tau _{\text {h}} $ final state. All distributions and uncertainties are shown after the fit that has been applied to the data.

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Figure 2-f:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mu \tau _{\text {h}} $ final state. All distributions and uncertainties are shown after the fit that has been applied to the data.

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Figure 3:
Distributions of the output of the NN used for the determination of the event categories, in the ggH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states, on the 2017 dataset. All distributions and uncertainties are shown after the fit that has been applied to the data. For each channel, all event categories relevant for the extraction of ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ production have been summed.

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Figure 3-a:
Distributions of the output of the NN used for the determination of the event categories, in the ggH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states, on the 2017 dataset. All distributions and uncertainties are shown after the fit that has been applied to the data. For each channel, all event categories relevant for the extraction of ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ production have been summed.

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Figure 3-b:
Distributions of the output of the NN used for the determination of the event categories, in the ggH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states, on the 2017 dataset. All distributions and uncertainties are shown after the fit that has been applied to the data. For each channel, all event categories relevant for the extraction of ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ production have been summed.

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Figure 3-c:
Distributions of the output of the NN used for the determination of the event categories, in the ggH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states, on the 2017 dataset. All distributions and uncertainties are shown after the fit that has been applied to the data. For each channel, all event categories relevant for the extraction of ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ production have been summed.

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Figure 3-d:
Distributions of the output of the NN used for the determination of the event categories, in the ggH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states, on the 2017 dataset. All distributions and uncertainties are shown after the fit that has been applied to the data. For each channel, all event categories relevant for the extraction of ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ production have been summed.

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Figure 4:
Distributions of the output of the NN used for the determination of the event categories, in the qqH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states, on the 2017 dataset. All distributions and uncertainties are shown after the fit that has been applied to the data. For each channel, all event categories relevant for the extraction of ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ production have been summed.

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Figure 4-a:
Distributions of the output of the NN used for the determination of the event categories, in the qqH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states, on the 2017 dataset. All distributions and uncertainties are shown after the fit that has been applied to the data. For each channel, all event categories relevant for the extraction of ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ production have been summed.

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Figure 4-b:
Distributions of the output of the NN used for the determination of the event categories, in the qqH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states, on the 2017 dataset. All distributions and uncertainties are shown after the fit that has been applied to the data. For each channel, all event categories relevant for the extraction of ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ production have been summed.

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Figure 4-c:
Distributions of the output of the NN used for the determination of the event categories, in the qqH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states, on the 2017 dataset. All distributions and uncertainties are shown after the fit that has been applied to the data. For each channel, all event categories relevant for the extraction of ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ production have been summed.

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Figure 4-d:
Distributions of the output of the NN used for the determination of the event categories, in the qqH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states, on the 2017 dataset. All distributions and uncertainties are shown after the fit that has been applied to the data. For each channel, all event categories relevant for the extraction of ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ production have been summed.

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Figure 5:
Classification scheme as proposed by the LHC HXSWG to further investigate the kinematic properties of ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ production. All proposed classes are indicated by gray boxes. The darker color indicates classes that are also used as categories in the analysis. The lighter colored classes are not used as categories (in all final states). All bin boundaries are given in ${GeV}$. For the statistical inference of the signal some event classes are combined as indicated by the dashed lines.

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Figure 6:
Classification scheme as proposed by the LHC HXSWG to further investigate the kinematic properties of ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ production. All proposed classes are indicated by gray boxes. They are also used as categories in the analysis. All bin boundaries are given in ${GeV}$. For the statistical inference of the signal two event classes are combined as indicated by the dashed lines.

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Figure 7:
Distribution of the decimal logarithm of the signal purity (after the fit to the data), evaluated in the bins of the signal categories used to extract the results. The signal contribution and the background contributions from each decay channel are stacked on top of each other. The inset shows the relative excess with respect to the estimated background.

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Figure 8:
Results of the maximum likelihood fit to the data, for a model with one signal strength parameter, as discussed in Section 8, split by final state and inclusively, for all final states combined. The ${{\mathrm{t} \mathrm{t} \mathrm{H}}}$ and $ {\mathrm {V}}\mathrm{H} $ production modes with leptonic $ {\mathrm {V}}$ decays have a negligible effect on the shown results and are not included as signal.

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Figure 9:
Two-dimensional contours corresponding to 68% and 95% confidence level (CL) (top) for the signal strength of the ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ and ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ production modes and (bottom) for the coupling strength modifiers $\kappa _{\text {V}}$ and $\kappa _{\text {F}}$. All nuisance parameters are profiled at each point evaluated in the two-dimensional parameter space. For the scan of $\kappa _{\text {V}}$ and $\kappa _{\text {F}}$, the contribution of $\mathrm{H} \to \mathrm{W} \mathrm{W} $ to the $\mathrm{e} \mu $ final state, and the ${{\mathrm{t} \mathrm{t} \mathrm{H}}}$ and $ {\mathrm {V}}\mathrm{H} $ production modes with leptonic $ {\mathrm {V}}$ decays are treated as a signal processes.

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Figure 9-a:
Two-dimensional contours corresponding to 68% and 95% confidence level (CL) (top) for the signal strength of the ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ and ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ production modes and (bottom) for the coupling strength modifiers $\kappa _{\text {V}}$ and $\kappa _{\text {F}}$. All nuisance parameters are profiled at each point evaluated in the two-dimensional parameter space. For the scan of $\kappa _{\text {V}}$ and $\kappa _{\text {F}}$, the contribution of $\mathrm{H} \to \mathrm{W} \mathrm{W} $ to the $\mathrm{e} \mu $ final state, and the ${{\mathrm{t} \mathrm{t} \mathrm{H}}}$ and $ {\mathrm {V}}\mathrm{H} $ production modes with leptonic $ {\mathrm {V}}$ decays are treated as a signal processes.

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Figure 9-b:
Two-dimensional contours corresponding to 68% and 95% confidence level (CL) (top) for the signal strength of the ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ and ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ production modes and (bottom) for the coupling strength modifiers $\kappa _{\text {V}}$ and $\kappa _{\text {F}}$. All nuisance parameters are profiled at each point evaluated in the two-dimensional parameter space. For the scan of $\kappa _{\text {V}}$ and $\kappa _{\text {F}}$, the contribution of $\mathrm{H} \to \mathrm{W} \mathrm{W} $ to the $\mathrm{e} \mu $ final state, and the ${{\mathrm{t} \mathrm{t} \mathrm{H}}}$ and $ {\mathrm {V}}\mathrm{H} $ production modes with leptonic $ {\mathrm {V}}$ decays are treated as a signal processes.

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Figure 10:
Results of the maximum likelihood fit to the data, for a model with 9 signal strength parameters, as discussed in Section 8. Also shown are the results from an inclusive fit with separate signal strength parameters for the ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ and ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ production processes. The ${{\mathrm{t} \mathrm{t} \mathrm{H}}}$ and $ {\mathrm {V}}\mathrm{H} $ production modes with leptonic $ {\mathrm {V}}$ decays have a negligible effect on the shown results and are not included as signal.

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Figure 11:
Correlation matrix of the maximum likelihood fit with 9 signal strength parameters, as discussed in Section 8. The corresponding fit results are shown in Figure 10.

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Figure 12:
Confusion matrices for the NN classification task described in Section 5.4, for the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states evaluated on the 2016 dataset. Each matrix is normalized such that all entries in each column, corresponding to a given event class, sum up to unity. All event classes enter the matrix with the same statistical weight (uniform prevalence).

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Figure 12-a:
Confusion matrices for the NN classification task described in Section 5.4, for the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states evaluated on the 2016 dataset. Each matrix is normalized such that all entries in each column, corresponding to a given event class, sum up to unity. All event classes enter the matrix with the same statistical weight (uniform prevalence).

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Figure 12-b:
Confusion matrices for the NN classification task described in Section 5.4, for the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states evaluated on the 2016 dataset. Each matrix is normalized such that all entries in each column, corresponding to a given event class, sum up to unity. All event classes enter the matrix with the same statistical weight (uniform prevalence).

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Figure 12-c:
Confusion matrices for the NN classification task described in Section 5.4, for the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states evaluated on the 2016 dataset. Each matrix is normalized such that all entries in each column, corresponding to a given event class, sum up to unity. All event classes enter the matrix with the same statistical weight (uniform prevalence).

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Figure 12-d:
Confusion matrices for the NN classification task described in Section 5.4, for the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final states evaluated on the 2016 dataset. Each matrix is normalized such that all entries in each column, corresponding to a given event class, sum up to unity. All event classes enter the matrix with the same statistical weight (uniform prevalence).

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Figure 13:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) db, (lower left) st, and (lower right) misc event categories, in the $\mathrm{e} \mu $ final state, on the 2016 dataset.

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Figure 13-a:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) db, (lower left) st, and (lower right) misc event categories, in the $\mathrm{e} \mu $ final state, on the 2016 dataset.

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Figure 13-b:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) db, (lower left) st, and (lower right) misc event categories, in the $\mathrm{e} \mu $ final state, on the 2016 dataset.

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Figure 13-c:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) db, (lower left) st, and (lower right) misc event categories, in the $\mathrm{e} \mu $ final state, on the 2016 dataset.

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Figure 13-d:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) db, (lower left) st, and (lower right) misc event categories, in the $\mathrm{e} \mu $ final state, on the 2016 dataset.

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Figure 13-e:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) db, (lower left) st, and (lower right) misc event categories, in the $\mathrm{e} \mu $ final state, on the 2016 dataset.

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Figure 13-f:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) db, (lower left) st, and (lower right) misc event categories, in the $\mathrm{e} \mu $ final state, on the 2016 dataset.

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Figure 14:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mathrm{e} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 14-a:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mathrm{e} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 14-b:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mathrm{e} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 14-c:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mathrm{e} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 14-d:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mathrm{e} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 14-e:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mathrm{e} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 14-f:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mathrm{e} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 15:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mu \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 15-a:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mu \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 15-b:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mu \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 15-c:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mu \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 15-d:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mu \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 15-e:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mu \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 15-f:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mu \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 16:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (lower left) misc event categories, in the $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 16-a:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (lower left) misc event categories, in the $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 16-b:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (lower left) misc event categories, in the $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 16-c:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (lower left) misc event categories, in the $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 17:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) db, (lower left) st, and (lower right) misc event categories, in the $\mathrm{e} \mu $ final state, on the 2017 dataset.

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Figure 17-a:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) db, (lower left) st, and (lower right) misc event categories, in the $\mathrm{e} \mu $ final state, on the 2017 dataset.

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Figure 17-b:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) db, (lower left) st, and (lower right) misc event categories, in the $\mathrm{e} \mu $ final state, on the 2017 dataset.

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Figure 17-c:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) db, (lower left) st, and (lower right) misc event categories, in the $\mathrm{e} \mu $ final state, on the 2017 dataset.

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Figure 17-d:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) db, (lower left) st, and (lower right) misc event categories, in the $\mathrm{e} \mu $ final state, on the 2017 dataset.

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Figure 17-e:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) db, (lower left) st, and (lower right) misc event categories, in the $\mathrm{e} \mu $ final state, on the 2017 dataset.

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Figure 17-f:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) db, (lower left) st, and (lower right) misc event categories, in the $\mathrm{e} \mu $ final state, on the 2017 dataset.

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Figure 18:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mathrm{e} \tau _{\text {h}} $ final state, on the 2017 dataset.

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Figure 18-a:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mathrm{e} \tau _{\text {h}} $ final state, on the 2017 dataset.

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Figure 18-b:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mathrm{e} \tau _{\text {h}} $ final state, on the 2017 dataset.

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Figure 18-c:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mathrm{e} \tau _{\text {h}} $ final state, on the 2017 dataset.

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Figure 18-d:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mathrm{e} \tau _{\text {h}} $ final state, on the 2017 dataset.

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Figure 18-e:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mathrm{e} \tau _{\text {h}} $ final state, on the 2017 dataset.

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Figure 18-f:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (middle left) tt, (middle right) zll, (lower left) wj, and (lower right) misc event categories, in the $\mathrm{e} \tau _{\text {h}} $ final state, on the 2017 dataset.

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Figure 19:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (lower left) misc event categories, in the $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2017 dataset.

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Figure 19-a:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (lower left) misc event categories, in the $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2017 dataset.

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Figure 19-b:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (lower left) misc event categories, in the $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2017 dataset.

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Figure 19-c:
Distributions of the NN output used for the determination of the event categories in the (upper left) ztt, (upper right) qcd, (lower left) misc event categories, in the $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2017 dataset.

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Figure 20:
Distributions of the output of the NN used for the determination of the event categories, in the ggH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 20-a:
Distributions of the output of the NN used for the determination of the event categories, in the ggH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 20-b:
Distributions of the output of the NN used for the determination of the event categories, in the ggH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 20-c:
Distributions of the output of the NN used for the determination of the event categories, in the ggH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 20-d:
Distributions of the output of the NN used for the determination of the event categories, in the ggH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 21:
Distributions of the output of the NN used for the determination of the event categories, in the qqH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 21-a:
Distributions of the output of the NN used for the determination of the event categories, in the qqH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 21-b:
Distributions of the output of the NN used for the determination of the event categories, in the qqH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 21-c:
Distributions of the output of the NN used for the determination of the event categories, in the qqH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 21-d:
Distributions of the output of the NN used for the determination of the event categories, in the qqH event category, in the (upper left) $\mathrm{e} \mu $, (upper right) $\mathrm{e} \tau _{\text {h}} $, (lower left) $\mu \tau _{\text {h}} $, and (lower right) $\tau _{\text {h}} \tau _{\text {h}} $ final state, on the 2016 dataset.

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Figure 22:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \mu $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 22-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \mu $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 22-c:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \mu $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 22-d:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \mu $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 23:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 23-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 23-c:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 23-d:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 24:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mu \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 24-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mu \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 24-c:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mu \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 24-d:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mu \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 25:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\tau _{\text {h}} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 25-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\tau _{\text {h}} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 25-c:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\tau _{\text {h}} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 25-d:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\tau _{\text {h}} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2016 dataset.

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Figure 26:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mathrm{e} \mu $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2016 dataset.

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Figure 26-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mathrm{e} \mu $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2016 dataset.

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Figure 26-b:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mathrm{e} \mu $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2016 dataset.

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Figure 27:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mathrm{e} \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2016 dataset.

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Figure 27-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mathrm{e} \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2016 dataset.

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Figure 27-b:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mathrm{e} \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2016 dataset.

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Figure 28:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mu \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2016 dataset.

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Figure 28-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mu \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2016 dataset.

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Figure 28-b:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mu \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2016 dataset.

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Figure 29:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\tau _{\text {h}} \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2016 dataset.

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Figure 29-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\tau _{\text {h}} \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2016 dataset.

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Figure 29-b:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\tau _{\text {h}} \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2016 dataset.

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Figure 30:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \mu $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 30-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \mu $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 30-c:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \mu $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 30-d:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \mu $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 31:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 31-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 31-c:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 31-d:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mathrm{e} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 32:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mu \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 32-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mu \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 32-c:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mu \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 32-d:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\mu \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 33:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\tau _{\text {h}} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 33-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\tau _{\text {h}} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 33-c:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\tau _{\text {h}} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 33-d:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\mathrm{g} \mathrm{g} \to \mathrm{H},\mathrm{b} \mathrm{b} \mathrm{H}}}$ in the $\tau _{\text {h}} \tau _{\text {h}} $ final state. Shown are the (upper left) $=0\text {Jet}$, (middle row) $=1\text {Jet}$, and (lower row) $\geq 2\text {Jet}$ event categories in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau +\text {miss}}} $, on the 2017 dataset.

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Figure 34:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mathrm{e} \mu $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2017 dataset.

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Figure 34-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mathrm{e} \mu $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2017 dataset.

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Figure 34-b:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mathrm{e} \mu $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2017 dataset.

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Figure 35:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mathrm{e} \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2017 dataset.

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Figure 35-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mathrm{e} \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2017 dataset.

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Figure 35-b:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mathrm{e} \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2017 dataset.

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Figure 36:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mu \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2017 dataset.

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Figure 36-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mu \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2017 dataset.

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Figure 36-b:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\mu \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2017 dataset.

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Figure 37:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\tau _{\text {h}} \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2017 dataset.

png pdf
Figure 37-a:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\tau _{\text {h}} \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2017 dataset.

png pdf
Figure 37-b:
Distributions of the NN output in the event categories used for the determination of the stage-1 simplified template cross sections for ${{\text {VBF}{+} {\mathrm {V}}(\mathrm{q} \mathrm{q})\mathrm{H}}}$ in the $\tau _{\text {h}} \tau _{\text {h}} $ final state. Shown are the (upper row) categories with VBF topology in bins of $ {{p_{\mathrm {T}}} ^{\tau \tau \text {jj+miss}}} $ and (lower row) the event category with $\mathrm{Z} (\mathrm{W})\mathrm{H} $ topology, the "Rest'' category and the event category with $ {p_{\mathrm {T}}} ^{\text {j}_{1}} > $ 200 GeV, on the 2017 dataset.
Tables

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Table 1:
Background processes contributing to the event selection as given in Section 5. The further splitting of the processes in the second column refers only to final states that contain a $\tau _{\text {h}} $ candidate. "MC'' implies that the process is taken from simulation, $ {F_{\text {F}}}$ that the process is determined from data using the $ {F_{\text {F}}}$ method as described in Ref. [12]. "EMB'' implies that the process is estimated from the $\tau $-embedding technique as described in Ref. [11], "CR'' that both shape and normalization of QCD multijet events are estimated from control regions in data. The label $\ell $ corresponds to an electron or muon.

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Table 2:
Kinematic selection of the $\tau $ decay products in the $\mathrm{e} \mu $, $\mathrm{e} \tau _{\text {h}} $, $\mu \tau _{\text {h}} $, and $\tau _{\text {h}} \tau _{\text {h}} $ final states. The expression "First (Second) object'' refers to the final state label used in the first column. In the $\mathrm{e} \tau _{\text {h}} $ ($\mu \tau _{\text {h}} $) final state the values in braces correspond to the thresholds used when the event has been selected by an $\mathrm{e} \tau _{\text {h}} $ ($\mu \tau _{\text {h}} $) trigger. The upper (lower) values correspond to the thresholds used on the 2016 (2017) dataset.

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Table 3:
Processes and event classes/categories for each $\tau \tau $ final state. The values given in braces for each event class correspond to the positive predictive value of the classification task after training, on the 2017 dataset. All event classes (labelled below ggH, qqH, ztt, qcd, tt, misc, zll, wj, db, st) enter the training with the same statistical weight (i.e. with uniform prevalence).

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Table 4:
Parameters selected for the NN classification task used for the event categorization in each final state. The checkmarks (dashes) indicate that the variable was (not) used for the corresponding final state. The first (second) entry per column corresponds to the choice for the 2016 (2017) dataset.

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Table 5:
Observed number of selected events ($ {N_{\text {data}}}$) and the relative contribution of the expected processes in all event categories in the $\mathrm{e} \mu $ and $\mathrm{e} \tau _{\text {h}} $ final states on the 2017 dataset. The relative contribution of the expected processes is given in $%$, and prior to the fit used for the signal extraction. In the $\mathrm{e} \tau _{\text {h}} $ final state, processes in which a jet is misidentified as a $\tau _{\text {h}} $ decay are subsumed into a common $ {\text {jet}\to \tau _{\text {h}}}$ background class, which is estimated from data. The $ {\mathrm {V}}\mathrm{H} $ with leptonic $ {\mathrm {V}}$ decay and ${{\mathrm{t} \mathrm{t} \mathrm{H}}}$ production modes are omitted from the table due to their low expected event yields of $\leq 1$ event.
Summary
Measurements of the product of the cross section for the production of the Higgs boson and the branching fraction for its subsequent decay into tau leptons have been presented. The measurements are based on the data collected with the CMS experiment, during the years 2016 and 2017. They amount to a luminosity of 77.4 fb$^{-1}$ at a center-of-mass energy of the pp collisions of 13 TeV. The product of the inclusive Higgs boson production with the branching fraction into tau leptons is measured to be $\sigma_{\text{incl}}\,\mathcal{B}(\mathrm{H}\to\tau\tau)=$ 2.56 $\pm$ 0.48 (stat) $\pm$ 0.34 (syst) pb. When split by the ggH, bbH and VBF production modes these cross sections are found to be $\sigma({{{\mathrm{g}\mathrm{g}\to\mathrm{H},\mathrm{b}\mathrm{b}\mathrm{H}}}})\,\mathcal{B}(\mathrm{H}\to\tau\tau)=$ 1.11 $\pm$ 0.81 (stat) $\pm$ 0.78 (syst) pb and $\sigma(\text{VBF+V(qq)H})\,\mathcal{B}(\mathrm{H}\to\tau\tau)=$ 0.34 $\pm$ 0.08 (stat) $\pm$ 0.09 (syst) pb. In addition the kinematic properties of the production have been investigated in terms of simplified template cross sections.
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Compact Muon Solenoid
LHC, CERN