Observed and predicted mTtot distribution in the b-tag category of the 2tau_h channel. Despite listing this as an exclusive final state (as there must be at least one b-jets), there is no explicit selection on the presence of additional light-flavour jets. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 300, 500 and 800 GeV and $\tan\beta$ = 10 in the hMSSM scenario are also provided.

Observed and predicted mTtot distribution for the b-inclusive selection in the 1l1tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. In the paper, the first bin is cut off at 60 GeV for aesthetics but contains underflows down to 50 GeV as in the HepData table. The last bin includes overflows. The prediction for a SSM Zprime with masses of 1500, 2000 and 2500 GeV are also provided.

Observed and predicted mTtot distribution for the b-inclusive selection in the 2tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The prediction for a SSM Zprime with masses of 1500, 2000 and 2500 GeV are also provided.

Observed and expected 95% CL upper limits on the b-associated Higgs boson production cross section times ditau branching fraction as a function of the boson mass.

Observed and expected 95% CL upper limits on the Drell Yan production cross section times ditau branching fraction as a function of the Zprime boson mass.

Observed and expected 95% CL upper limits on the Higgs boson production cross section times ditau branching fraction as a function of the boson mass and the relative strength of the b-associated production.

Ratio of the 95% CL upper limits on the production cross section times branching fraction for alternate Zprime models with respect to the SSM, both observed and expected are shown.

Acceptance, acceptance times efficiency and b-tag category fraction for a scalar boson produced by gluon-gluon fusion as a function of the scalar boson mass.

Acceptance, acceptance times efficiency and b-tag category fraction for a scalar boson produced by b-associated production as a function of the scalar boson mass.

Acceptance and acceptance times efficiency for a heavy gauge boson produced by Drell Yan as a function of the gauge boson mass.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Observed and expected 95% CL upper limits on the gluon-gluon fusion Higgs boson production cross section times ditau branching fraction as a function of the boson mass.

Measured cross sections for isolated-photon plus jet production as a function of $m^{\gamma-\rm jet}$.

Measured cross sections for isolated-photon plus jet production as a function of $|\cos\theta^{\star}|$.

The three isolated photons cross section with systematic and statistical uncertainties as a function of DPhi(Photon1,Photon2).

The three isolated photons cross section with systematic and statistical uncertainties as a function of DPhi(Photon1,Photon3).

The three isolated photons cross section with systematic and statistical uncertainties as a function of DPhi(Photon2,Photon3).

The three isolated photons cross section with systematic and statistical uncertainties as a function of |DEta(Photon1,Photon2)|.

The three isolated photons cross section with systematic and statistical uncertainties as a function of |DEta(Photon1,Photon3)|.

The three isolated photons cross section with systematic and statistical uncertainties as a function of |DEta(Photon2,Photon3)|.

The three isolated photons cross section with systematic and statistical uncertainties as a function of M(Photon1,Photon2).

The three isolated photons cross section with systematic and statistical uncertainties as a function of M(Photon1,Photon3).

The three isolated photons cross section with systematic and statistical uncertainties as a function of M(Photon2,Photon3).

The three isolated photons cross section with systematic and statistical uncertainties as a function of M(Photon1,Photon2,Photon3).

Measured differential cross section with associated uncertainties as a function of COS(THETA*). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of DELTAYRAP(2GAMMA). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of MULT(JET,PT>30 GEV). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of MULT(JET,PT>50 GEV). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of PT(JET1). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of PT(JET2). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of HT. Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of YRAP(JET1). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of YRAP(JET2). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of M(2JET). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of DELTAYRAP(2JET). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of ABSDPHI(2JET). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of DPHI(2JET). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of PT(2GAMMA2JET). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of DPHI(2GAMMA,2JET). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of TAUJET. Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of SUM(TAUJET). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of PT(2GAMMA) [NJET=0,PT>30 GEV]. Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of PT(2GAMMA) [NJET=1,PT>30 GEV]. Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of PT(2GAMMA) [NJET=2,PT>30 GEV]. Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

Measured differential cross section with associated uncertainties as a function of PT(2GAMMA) [NJET>=3,PT>30 GEV]. Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.

The measured cross sections or cross section limits of the diphoton, VBF-enhanced, Nlepton $\geq$ 1, high $E_{T}^{miss}$, and ttH-enhanced fiducial regions are shown.

Measured differential cross section with associated uncertainties as a function of diphoton transverse momentum in bins of ABS(COS(THETA*)). Each systematic uncertainty sources is fully uncorrelated with the other sources and fully correlated across bins, except for the background modelling systematics for which an uncorrelated treatment across bins is more appropriate.Each systematic uncertainty sources is fully uncorrelated with the other sources.

Non-perturbative correction factors in percent accounting for the impact of hadronisation and the underlying event activity for all measured variables and fiducial regions. Regions of phase space where no reliable estimate could be obtained are listed as 100 without uncertainties. Uncertainties are evaluated by deriving these factors using different generators and tunes as described in the text. No factor are given for the Nlepton $\geq$ 1 and High-$E_{T}^{miss}$ fiducial regions as the gluon fusion contamination in both is negligible.

Isolation efficiencies in percent for gluon fusion $H\rightarrow\gamma\gamma$ for each fiducial region/variable bin measured in this analysis. The isolation efficiency is defined as the probability for both photons to fulfil the isolation criteria (as described in Section 9.1) for events that pass the diphoton kinematic criteria. Regions of phase space where no reliable estimate could be obtained are listed as 100 without uncertainties. Uncertainties are assigned in the same way as for the non-perturbative correction factors: by varying the fragmentation and underlying event modelling. These factors can be multiplied by the kinematic acceptance factors (see Table 29) to extrapolate an inclusive gluon fusion Higgs prediction to the fiducial volume used in this analysis. No factors for the Nlepton $\geq$ 1 and High $E_{T}^{miss}$ fiducial regions are provided as the gluon fusion contamination is negligible.

Combined non-perturbative (Table 27) and particle-level isolation correction factors (Table 28) in percent accounting for the impact of hadronisation and the underlying event activity for all measured variables and fiducial regions. Regions of phase space where no reliable estimate could be obtained are listed as 100 without uncertainties. The uncertainties on the combined values properly take into account the correlations between both multiplicative factors.

Diphoton kinematic acceptances in percent for gluon-gluon fusion for the diphoton fiducial region and all differential variable bins studied in this paper, defined as the probability to fulfill the diphoton kinematic criteria: $p_{T}$/$m_{\gamma\gamma}$ < 0.35 (0.25) for the leading (subleading) photon and $|\eta_{\gamma\gamma}|$ < 2.37. The factors are evaluated using the Powheg NNLOPSevent generator. Uncertainties are taken from PDF variations. QCD scale variations have a negligible impact on these factors. The range of each bin is given in Table 26.

observed statistical correlations between pTyy, Njets, mjj, |DeltaPhijj| and pTj1

ggH default MC + XH predictions

XH ( = VBF + VH + ttH + bbH ) MC predictions

Best-fit values and uncertainties of the production-mode cross sections times branching ratio.

Best-fit values and uncertainties of the simplified template cross sections times branching ratio.

Observed correlations between the measured simplified template cross sections, including both the statistical and systematic uncertainties.

Best-fit values and uncertainties of the simplified template cross sections times branching ratio.

Observed correlations between the measured simplified template cross sections, including both the statistical and systematic uncertainties.

Observed correlations between the measured simplified template cross sections, including both the statistical and systematic uncertainties.

Regions of the non-universal G(221) parameter space excluded at 95% CL.

Number of expected $W^{\prime}_{\rm SSM}$, $W^{\prime}_{\rm NU}$, Standard Model background and observed events passing the optimal $m_{\rm T}$ threshold for each considered signal mass hypothesis. The expectations include the total statistical and systematic uncertainty added in quadrature. The yields and uncertainties are calculated before applying the statistical fitting procedure.

Acceptance for $W^{\prime}_{\rm SSM}$ as a function of the $W^{\prime}_{\rm SSM}$ mass, shown after successively applying selection at generator-level. The acceptance times efficiency is calculated with respect to all $W^{\prime}_{\rm SSM} \to \tau\nu$ events with a generated $\tau\nu$ mass above 120 GeV. The "selected tau" criteria include the requirement of a $\tau_{\rm had-vis}$ with $p_{\rm T}$ > 50 GeV and $|\eta|$ < 2.4. The $m_{\rm T}$ threshold for each $W^{\prime}_{\rm SSM}$ mass is defined in Table 5.

Acceptance times efficiency for $W^{\prime}_{\rm SSM}$ as a function of the $W^{\prime}_{\rm SSM}$ mass, shown after successively applying selection at reconstruction-level. The acceptance times efficiency is calculated with respect to all $W^{\prime}_{\rm SSM} \to \tau\nu$ events with a generated $\tau\nu$ mass above 120 GeV. "Preselection" includes all criteria prior to those shown. The $m_{\rm T}$ threshold for each $W^{\prime}_{\rm SSM}$ mass is defined in Table 5.

Reconstruction efficiency as a function of $m_{\rm T}$ (see HepData abstract for parameterization), defined as the ratio of the number of $\tau\nu$ events remaining after applying the full selection at reconstruction-level to those remaining after applying the fiducial selection at generator-level. The efficiency is largely model independent, with an uncertainty of ~10% due to model choice.

Measured $\gamma+c$ fiducial differential cross section as a function of $E_\text{T}^\gamma$ for $|\eta^\gamma|<1.37$.

Measured $\gamma+c$ fiducial differential cross section as a function of $E_\text{T}^\gamma$ for $1.56<|\eta^\gamma|<2.37$.

Measured ratio of the $\gamma+b$ fiducial differential cross section as a function of $E_\text{T}^\gamma$ for $|\eta^\gamma|<1.37$ to that for $1.56<|\eta^\gamma|<2.37$.

Measured ratio of the $\gamma+c$ fiducial differential cross section as a function of $E_\text{T}^\gamma$ for $|\eta^\gamma|<1.37$ to that for $1.56<|\eta^\gamma|<2.37$.

DM exclusion limit in the two-dimensional phase space of WIMP mass m_&chi; vs mediator mass m_med determined using the combined ee+&mu;&mu; channel. Both the observed and expected limits are presented, and the 1&sigma; uncertainty band for the expected limits is also provided. Regions bounded by the limit curves are excluded at the 95% CL. The grey line labelled with "m_med = 2m_&chi;'' indicates the kinematic threshold where the mediator can decay on-shell into WIMPs, and the other grey line gives the perturbative limit (arXiv 1603.04156). The relic density line (arXiv 1603.04156) illustrates the combination of m_&chi; and m_med that would explain the observed DM relic density.

DM exclusion limit in the two-dimensional phase space of WIMP mass m_&chi; vs mediator mass m_med determined using the combined ee+&mu;&mu; channel. Both the observed and expected limits are presented, and the 1&sigma; uncertainty band for the expected limits is also provided. Regions bounded by the limit curves are excluded at the 95% CL. The grey line labelled with "m_med = 2m_&chi;'' indicates the kinematic threshold where the mediator can decay on-shell into WIMPs, and the other grey line gives the perturbative limit (arXiv 1603.04156). The relic density line (arXiv 1603.04156) illustrates the combination of m_&chi; and m_med that would explain the observed DM relic density.

DM exclusion limit in the two-dimensional phase space of WIMP mass m_&chi; vs mediator mass m_med determined using the combined ee+&mu;&mu; channel. Both the observed and expected limits are presented, and the 1&sigma; uncertainty band for the expected limits is also provided. Regions bounded by the limit curves are excluded at the 95% CL. The grey line labelled with "m_med = 2m_&chi;'' indicates the kinematic threshold where the mediator can decay on-shell into WIMPs, and the other grey line gives the perturbative limit (arXiv 1603.04156). The relic density line (arXiv 1603.04156) illustrates the combination of m_&chi; and m_med that would explain the observed DM relic density.

The 95% CL upper limits on the production cross-section of the ZH process with the prompt Z&rarr; ee and Z&rarr; &mu;&mu; decays and the invisible Higgs boson decays as a function of m_H, obtained from the combined ee+&mu;&mu; channel. The observed and expected limits are given, as well as the &pm;1&sigma; and &pm;2&sigma; error bands on the expected limits. The signal process is only modelled for the qq initial state, and the theory uncertainties on the signal prediction are not considered.

DM exclusion limit in the two-dimensional phase space of m_&chi; vs m_med set using the combined ee+&mu;&mu; channel. The DM model assumes a vector mediator, a fermionic WIMP, and the coupling parameters g_q = 0.25 and g_&chi; = 1. Both the observed and expected limits are presented, and the 1&sigma; uncertainty band for the expected limits is also provided. Regions bounded by the limit curves are excluded at the 95% CL. The grey line labelled with "m_med = 2m_&chi;'' indicates the kinematic threshold where the mediator can decay on-shell into WIMPs. The relic density line [arXiv 1603.04156] illustrates the combination of m_&chi; and m_med that would explain the observed DM relic density.

DM exclusion limit in the two-dimensional phase space of m_&chi; vs m_med set using the combined ee+&mu;&mu; channel. The DM model assumes a vector mediator, a fermionic WIMP, and the coupling parameters g_q = 0.25 and g_&chi; = 1. Both the observed and expected limits are presented, and the 1&sigma; uncertainty band for the expected limits is also provided. Regions bounded by the limit curves are excluded at the 95% CL. The grey line labelled with "m_med = 2m_&chi;'' indicates the kinematic threshold where the mediator can decay on-shell into WIMPs. The relic density line [arXiv 1603.04156] illustrates the combination of m_&chi; and m_med that would explain the observed DM relic density.

DM exclusion limit in the two-dimensional phase space of m_&chi; vs m_med set using the combined ee+&mu;&mu; channel. The DM model assumes a vector mediator, a fermionic WIMP, and the coupling parameters g_q = 0.25 and g_&chi; = 1. Both the observed and expected limits are presented, and the 1&sigma; uncertainty band for the expected limits is also provided. Regions bounded by the limit curves are excluded at the 95% CL. The grey line labelled with "m_med = 2m_&chi;'' indicates the kinematic threshold where the mediator can decay on-shell into WIMPs. The relic density line [arXiv 1603.04156] illustrates the combination of m_&chi; and m_med that would explain the observed DM relic density.

DM exclusion limit in the two-dimensional phase space of m_&chi; vs m_med set using the combined ee+&mu;&mu; channel. The DM model assumes a vector mediator, a fermionic WIMP, and the coupling parameters g_q = 0.25 and g_&chi; = 1. Both the observed and expected limits are presented, and the 1&sigma; uncertainty band for the expected limits is also provided. Regions bounded by the limit curves are excluded at the 95% CL. The grey line labelled with "m_med = 2m_&chi;'' indicates the kinematic threshold where the mediator can decay on-shell into WIMPs. The relic density line [arXiv 1603.04156] illustrates the combination of m_&chi; and m_med that would explain the observed DM relic density.

Limits on the WIMP and proton scattering cross section as a function of WIMP mass, obtained for simplified dark matter models with an axial-vector mediator (left) and a vector mediator (right). The solid black line shows the observed limit at the 90% confidence level from this search. The left plot incorporates the latest results from these competitive direct-search experiments, LUX [arXiv 1705.03380], PICO-2L [Phys. Rev. Lett. 114 (2015) 231302], and PICO-60 [arXiv 1702.07666]. The right plot incorporates the latest results from the following experiments, CRESST-II [Eur. Phys. J. C76 (2016) 25], CDMSlite [Phys. Rev. Lett. 116 (2016) 071301], PandaX-II [Phys. Rev. Lett. 117 (2016) 121303], LUX [Phys. Rev. Lett. 118 (2017) 021303], and XENON1T [arXiv 1705.06655].

Limits on the WIMP and proton scattering cross section as a function of WIMP mass, obtained for simplified dark matter models with an axial-vector mediator (left) and a vector mediator (right). The solid black line shows the observed limit at the 90% confidence level from this search. The left plot incorporates the latest results from these competitive direct-search experiments, LUX [arXiv 1705.03380], PICO-2L [Phys. Rev. Lett. 114 (2015) 231302], and PICO-60 [arXiv 1702.07666]. The right plot incorporates the latest results from the following experiments, CRESST-II [Eur. Phys. J. C76 (2016) 25], CDMSlite [Phys. Rev. Lett. 116 (2016) 071301], PandaX-II [Phys. Rev. Lett. 117 (2016) 121303], LUX [Phys. Rev. Lett. 118 (2017) 021303], and XENON1T [arXiv 1705.06655].

Observed and expected upper limit on the cross-section for $pp \to H^{++}H^{--}$ for a combination of partial branching ratios of $B(ee) = 30\%$, $B(e \mu ) = 40\%$, and $B( \mu \mu ) = 30\%$.

Observed and expected lower limit on the $H_{L}^{\pm\pm}$ boson mass as a function of the branching ratio $B(H_{L}^{\pm\pm} \to e^{\pm}e^{\pm})$ where $B(H_{L}^{\pm\pm} \to X) = 1 - B(H_{L}^{\pm\pm} \to e^{\pm}e^{\pm})$, with "$X$" not entering any of the signal regions.

Observed and expected lower limit on the $H_{L}^{\pm\pm}$ boson mass as a function of the branching ratio $B(H_{L}^{\pm\pm} \to \mu^{\pm}\mu^{\pm})$ where $B(H_{L}^{\pm\pm} \to X) = 1 - B(H_{L}^{\pm\pm} \to \mu^{\pm}\mu^{\pm})$, with "$X$" not entering any of the signal regions.

Observed and expected lower limit on the $H_{L}^{\pm\pm}$ boson mass as a function of the branching ratio $B(H_{L}^{\pm\pm} \to e^{\pm}\mu^{\pm})$ where $B(H_{L}^{\pm\pm} \to X) = 1 - B(H_{L}^{\pm\pm} \to e^{\pm}\mu^{\pm})$, with "$X$" not entering any of the signal regions.

Minimum observed and expected lower limit (among all partial branching ratio combinations) on the $H_{L}^{\pm\pm}$ boson mass as a function of the branching ratio $B(H_{L}^{\pm\pm} \to \ell^{\pm}\ell^{\pm})$ where $B(H_{L}^{\pm\pm} \to X) = 1 - B(H_{L}^{\pm\pm} \to \ell^{\pm}\ell^{\pm})$, with "$X$" not entering any of the signal regions.

Observed and expected lower limit on the $H_{R}^{\pm\pm}$ boson mass as a function of the branching ratio $B(H_{R}^{\pm\pm} \to e^{\pm}e^{\pm})$ where $B(H_{R}^{\pm\pm} \to X) = 1 - B(H_{R}^{\pm\pm} \to e^{\pm}e^{\pm})$, with "$X$" not entering any of the signal regions.

Observed and expected lower limit on the $H_{R}^{\pm\pm}$ boson mass as a function of the branching ratio $B(H_{R}^{\pm\pm} \to \mu^{\pm}\mu^{\pm})$ where $B(H_{R}^{\pm\pm} \to X) = 1 - B(H_{R}^{\pm\pm} \to \mu^{\pm}\mu^{\pm})$, with "$X$" not entering any of the signal regions.

Observed and expected lower limit on the $H_{R}^{\pm\pm}$ boson mass as a function of the branching ratio $B(H_{R}^{\pm\pm} \to e^{\pm}\mu^{\pm})$ where $B(H_{R}^{\pm\pm} \to X) = 1 - B(H_{R}^{\pm\pm} \to e^{\pm}\mu^{\pm})$, with "$X$" not entering any of the signal regions.

Minimum observed and expected lower limit (among all partial branching ratio combinations) on the $H_{R}^{\pm\pm}$ boson mass as a function of the branching ratio $B(H_{R}^{\pm\pm} \to \ell^{\pm}\ell^{\pm})$ where $B(H_{R}^{\pm\pm} \to X) = 1 - B(H_{R}^{\pm\pm} \to \ell^{\pm}\ell^{\pm})$, with "$X$" not entering any of the signal regions.

Observed and expected lower limit on the $H_{L}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 100%.

Observed and expected lower limit on the $H_{R}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 100%.

Observed and expected lower limit on the $H_{L}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 90%.

Observed and expected lower limit on the $H_{R}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 90%.

Observed and expected lower limit on the $H_{L}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 80%.

Observed and expected lower limit on the $H_{R}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 80%.

Observed and expected lower limit on the $H_{L}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 70%.

Observed and expected lower limit on the $H_{R}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 70%.

Observed and expected lower limit on the $H_{L}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 60%.

Observed and expected lower limit on the $H_{R}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 60%.

Observed and expected lower limit on the $H_{L}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 50%.

Observed and expected lower limit on the $H_{R}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 50%.

Observed and expected lower limit on the $H_{L}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 40%.

Observed and expected lower limit on the $H_{R}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 40%.

Observed and expected lower limit on the $H_{L}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 30%.

Observed and expected lower limit on the $H_{R}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 30%.

Observed and expected lower limit on the $H_{L}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 20%.

Observed and expected lower limit on the $H_{R}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 20%.

Observed and expected lower limit on the $H_{L}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 10%.

Observed and expected lower limit on the $H_{R}^{\pm\pm}$ boson mass for all branching ratio combinations ($B(ee)$,$B(e\mu)$,$B(\mu\mu)$) that sum to 10%.