likelihood scan of the (gg$\rightarrow\phi\rightarrow\tau\tau$) - (gg$\rightarrow$bb$\phi\rightarrow\tau\tau$) - plane the with 40000 grid points at each hypothetical higgs mass, m$_\phi$, at $\sqrt{s}$ = 8 TeV testing an asimov dataset of the sum of all backgrounds including the Standard Model Higgs boson at 125 GeV against a background hypothesis including the Standard Model Higgs boson at 125 GeV.

Upper limits at 95% CL on the gluon-gluon fusion cross section for a heavy Higgs boson as a function of its mass and its width relative to a SM-like Higgs boson.

Upper limits at 95% CL on the VBF cross section for a heavy Higgs boson as a function of its mass and its width relative to a SM-like Higgs boson.

Signal selection efficiency as a function of mA.

Expected +2 sigma uncertainty band exclusion limit for Type-I models, as a function of tan beta and cos(beta-alpha).

Expected +1 sigma uncertainty band exclusion limit for Type-I models, as a function of tan beta and cos(beta-alpha).

Expected exclusion limit for Type-I models, as a function of tan beta and cos(beta-alpha).

Expected -1 sigma uncertainty band exclusion limit for Type-I models, as a function of tan beta and cos(beta-alpha).

Expected -2 sigma uncertainty band exclusion limit for Type-I models, as a function of tan beta and cos(beta-alpha).

Observed exclusion limit for Type-I models, as a function of tan beta and cos(beta-alpha).

Expected +2 sigma uncertainty band exclusion limit for Type-II models, as a function of tan beta and cos(beta-alpha).

Expected +1 sigma uncertainty band exclusion limit for Type-II models, as a function of tan beta and cos(beta-alpha).

Expected exclusion limit for Type-II models, as a function of tan beta and cos(beta-alpha).

Expected -1 sigma uncertainty band exclusion limit for Type-II models, as a function of tan beta and cos(beta-alpha).

Expected -2 sigma uncertainty band exclusion limit for Type-II models, as a function of tan beta and cos(beta-alpha).

Observed exclusion limit for Type-II models, as a function of tan beta and cos(beta-alpha).

Fig. 7. The 95% CL exclusion limit on $\sigma (pp \to H)\mathcal{B}(H \to \mu\mu\gamma)$, with $m_{\mu\mu}$ < 20 GeV, for a Higgs-like particle, as a function of the mass hypothesis, $m_{H}$.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of $\Delta \phi^{\gamma\gamma}$ as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of ||$y^{\gamma\gamma}$|| as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of $N_\rm{jets}$ as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of $p_\rm{T}^\rm{j1}$ as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of |$y^{\gamma\gamma}-y^{\rm{j1}}$| as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of $m_\rm{jj}$ as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of $\Delta \eta^{\rm{jj}}$ as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of $\Delta \phi^{\gamma\gamma,\rm{jj}}$ as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of $\Delta \phi^{\rm{jj}}$ as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of |$\eta^{\gamma\gamma}-(\eta^{\rm{j1}}+\eta^{\rm{j2}})/2$| as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.