The distributions used in the likelihood fit of the four-lepton invariant mass m_llll for the h → ZZ → llll search in the (a) ggF, (b) VBF, and (c) VH channels. The `Z+jets, ttbar' entry includes all backgrounds other than ZZ, as measured from data. No events are observed beyond the upper limit of the plots. The simulated m_H = 200 GeV signal is normalized to a cross-section corresponding to five times the observed limit. (A single limit is derived for the VBF and VH modes combined; the relative normalizations for these modes are taken from theoretical predictions.) Both the VBF and VH signal modes are shown in (b) as there is significant contamination of VH events in the VBF category.The distributions used in the likelihood fit of the four-lepton invariant mass m_llll for the h → ZZ → llll search in the (a) ggF, (b) VBF, and (c) VH channels. The `Z+jets, ttbar' entry includes all backgrounds other than ZZ, as measured from data. No events are observed beyond the upper limit of the plots. The simulated m_H = 200 GeV signal is normalized to a cross-section corresponding to five times the observed limit. (A single limit is derived for the VBF and VH modes combined; the relative normalizations for these modes are taken from theoretical predictions.) Both the VBF and VH signal modes are shown in (b) as there is significant contamination of VH events in the VBF category.The distributions used in the likelihood fit of the four-lepton invariant mass m_llll for the h → ZZ → llll search in the (a) ggF, (b) VBF, and (c) VH channels. The `Z+jets, ttbar' entry includes all backgrounds other than ZZ, as measured from data. No events are observed beyond the upper limit of the plots. The simulated m_H = 200 GeV signal is normalized to a cross-section corresponding to five times the observed limit. (A single limit is derived for the VBF and VH modes combined; the relative normalizations for these modes are taken from theoretical predictions.) Both the VBF and VH signal modes are shown in (b) as there is significant contamination of VH events in the VBF category.The distribution used in the likelihood fit of the transverse mass m_T^ZZ reconstructed from the momentum of the dilepton system and the missing transverse momentum for the h → ZZ → llνν search in the ggF channel. The simulated signal is normalized to a cross-section corresponding to five times the observed limit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom pane shows the ratio of the observed data to the predicted background.The distributions used in the likelihood fit of the invariant mass of dilepton+dijet system m_lljj for the h → ZZ → llqq search in the (a) untagged and (b) tagged resolved ggF subchannels. The dashed line shows the total background used as input to the fit. The simulated signal is normalized to a cross-section corresponding to thirty times the observed limit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distributions used in the likelihood fit of the invariant mass of dilepton+dijet system m_lljj for the h → ZZ → llqq search in the (a) untagged and (b) tagged resolved ggF subchannels. The dashed line shows the total background used as input to the fit. The simulated signal is normalized to a cross-section corresponding to thirty times the observed limit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.Distributions for the merged-jet channel of the h → ZZ → llqq search after the mass calibration. (a) The invariant mass of the leading jet, m_j, after the kinematic selection for the llqq merged-jet channel. (b) The distribution used in the likelihood fit of the invariant mass of the two leptons and the leading jet m_llj in the signal region. It is obtained requiring 70 < m_j < 105 GeV. The dashed line shows the total background used as input to the fit. The simulated signal is normalized to a cross-section corresponding to five times the observed limit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background. The signal contribution is shown added on top of the background in (b) but not in (a).Distributions for the merged-jet channel of the h → ZZ → llqq search after the mass calibration. (a) The invariant mass of the leading jet, m_j, after the kinematic selection for the llqq merged-jet channel. (b) The distribution used in the likelihood fit of the invariant mass of the two leptons and the leading jet m_llj in the signal region. It is obtained requiring 70 < m_j < 105 GeV. The dashed line shows the total background used as input to the fit. The simulated signal is normalized to a cross-section corresponding to five times the observed limit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background. The signal contribution is shown added on top of the background in (b) but not in (a).Distribution of (a) invariant mass and (b) pseudorapidity gap for the VBF-jet pair in the VBF channel of the h → ZZ → llqq search before applying the requirements on these variables (and prior to the combined fit). The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.Distribution of (a) invariant mass and (b) pseudorapidity gap for the VBF-jet pair in the VBF channel of the h → ZZ → llqq search before applying the requirements on these variables (and prior to the combined fit). The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distribution of m_lljj used in the likelihood fit for the h → ZZ → llqq search in the VBF channel. The dashed line shows the total background used as input to the fit. The simulated signal is normalized to a cross-section corresponding to thirty times the observed limit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom pane shows the ratio of the observed data to the predicted background.The distributions of m_lljj or m_llj in the Z+jets control region of the h → ZZ → llqq search in the (a) untagged ggF, (b) tagged ggF, (c) merged-jet ggF, and (d) VBF channels. The dashed line shows the total background used as input to the fit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distributions of m_lljj or m_llj in the Z+jets control region of the h → ZZ → llqq search in the (a) untagged ggF, (b) tagged ggF, (c) merged-jet ggF, and (d) VBF channels. The dashed line shows the total background used as input to the fit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distributions of m_lljj or m_llj in the Z+jets control region of the h → ZZ → llqq search in the (a) untagged ggF, (b) tagged ggF, (c) merged-jet ggF, and (d) VBF channels. The dashed line shows the total background used as input to the fit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distributions of m_lljj or m_llj in the Z+jets control region of the h → ZZ → llqq search in the (a) untagged ggF, (b) tagged ggF, (c) merged-jet ggF, and (d) VBF channels. The dashed line shows the total background used as input to the fit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distribution of m_lljj in the eμ top-quark control region of the h → ZZ → llqq search in the tagged ggF channel. The dashed line shows the total background used as input to the fit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom pane shows the ratio of the observed data to the predicted background.The distributions of m_T, the transverse mass of the Z(νν)Z(jj) system, used in the likelihood fit for the h → ZZ → ννqq search in the (a, c) untagged and (b, d) tagged channels, for Higgs boson mass hypotheses of (a, b) m_H = 400 GeV and (c, d) m_H = 900 GeV. The dashed line shows the total background used as input to the fit. For the m_H = 400 GeV hypothesis (a, b) the simulated signal is normalized to a cross-section corresponding to twenty times the observed limit, while for the m_H = 900 GeV hypothesis (c, d) it is normalized to thirty times the observed limit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distributions of m_T, the transverse mass of the Z(νν)Z(jj) system, used in the likelihood fit for the h → ZZ → ννqq search in the (a, c) untagged and (b, d) tagged channels, for Higgs boson mass hypotheses of (a, b) m_H = 400 GeV and (c, d) m_H = 900 GeV. The dashed line shows the total background used as input to the fit. For the m_H = 400 GeV hypothesis (a, b) the simulated signal is normalized to a cross-section corresponding to twenty times the observed limit, while for the m_H = 900 GeV hypothesis (c, d) it is normalized to thirty times the observed limit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distributions of m_T, the transverse mass of the Z(νν)Z(jj) system, used in the likelihood fit for the h → ZZ → ννqq search in the (a, c) untagged and (b, d) tagged channels, for Higgs boson mass hypotheses of (a, b) m_H = 400 GeV and (c, d) m_H = 900 GeV. The dashed line shows the total background used as input to the fit. For the m_H = 400 GeV hypothesis (a, b) the simulated signal is normalized to a cross-section corresponding to twenty times the observed limit, while for the m_H = 900 GeV hypothesis (c, d) it is normalized to thirty times the observed limit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distributions of m_T, the transverse mass of the Z(νν)Z(jj) system, used in the likelihood fit for the h → ZZ → ννqq search in the (a, c) untagged and (b, d) tagged channels, for Higgs boson mass hypotheses of (a, b) m_H = 400 GeV and (c, d) m_H = 900 GeV. The dashed line shows the total background used as input to the fit. For the m_H = 400 GeV hypothesis (a, b) the simulated signal is normalized to a cross-section corresponding to twenty times the observed limit, while for the m_H = 900 GeV hypothesis (c, d) it is normalized to thirty times the observed limit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distributions of (a) missing transverse momentum E_T^miss and (b) leading-jet p_T from the untagged (Z → μμ) + jets control sample of the h → ZZ → ννqq search. The dashed line shows the total background used as input to the fit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distributions of (a) missing transverse momentum E_T^miss and (b) leading-jet p_T from the untagged (Z → μμ) + jets control sample of the h → ZZ → ννqq search. The dashed line shows the total background used as input to the fit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distributions of (a) E_T^miss and (b) leading-jet p_T from the untagged (W → μν) + jets control sample of the h → ZZ → ννqq search. The dashed line shows the total background used as input to the fit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distributions of (a) E_T^miss and (b) leading-jet p_T from the untagged (W → μν) + jets control sample of the h → ZZ → ννqq search. The dashed line shows the total background used as input to the fit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.95% CL upper limits on σ × BR(H → ZZ) as a function of m_H, resulting from the combination of all of the searches in the (a) ggF and (b) VBF channels. The solid black line and points indicate the observed limit. The dashed black line indicates the expected limit and the bands the 1-σ and 2-σ uncertainty ranges about the expected limit. The dashed coloured lines indicate the expected limits obtained from the individual searches; for the llqq and vvqq searches, only the combination of the two is shown as they share control regions.95% CL upper limits on σ × BR(H → ZZ) as a function of m_H, resulting from the combination of all of the searches in the (a) ggF and (b) VBF channels. The solid black line and points indicate the observed limit. The dashed black line indicates the expected limit and the bands the 1-σ and 2-σ uncertainty ranges about the expected limit. The dashed coloured lines indicate the expected limits obtained from the individual searches; for the llqq and vvqq searches, only the combination of the two is shown as they share control regions.95% CL exclusion contours in the 2HDM (a) Type-I and (b) Type-II models for m_H = 200 GeV, shown as a function of the parameters cos(β-α) and tanβ. The red hashed area shows the observed exclusion, with the solid red line denoting the edge of the excluded region. The dashed blue line represents the expected exclusion contour and the shaded bands the 1-σ and 2-σ uncertainties on the expectation. The vertical axis range is set such that regions where the light Higgs couplings are significantly altered from their SM values are avoided.95% CL exclusion contours in the 2HDM (a) Type-I and (b) Type-II models for m_H = 200 GeV, shown as a function of the parameters cos(β-α) and tanβ. The red hashed area shows the observed exclusion, with the solid red line denoting the edge of the excluded region. The dashed blue line represents the expected exclusion contour and the shaded bands the 1-σ and 2-σ uncertainties on the expectation. The vertical axis range is set such that regions where the light Higgs couplings are significantly altered from their SM values are avoided.95% CL exclusion contours in the 2HDM (a) Type-I and (b) Type-II models for cos(β-α) = -0.1, shown as a function of the heavy Higgs boson mass m_H and the parameter tanβ. The shaded area shows the observed exclusion, with the black line denoting the edge of the excluded region. The blue line represents the expected exclusion contour and the shaded bands the 1-σ and 2-σ uncertainties on the expectation. The grey area masks regions where the width of the boson is greater than 0.5% of m_H. For the choice of cos (β-α) = -0.1 the light Higgs couplings are not significantly altered from their SM values.95% CL exclusion contours in the 2HDM (a) Type-I and (b) Type-II models for cos(β-α) = -0.1, shown as a function of the heavy Higgs boson mass m_H and the parameter tanβ. The shaded area shows the observed exclusion, with the black line denoting the edge of the excluded region. The blue line represents the expected exclusion contour and the shaded bands the 1-σ and 2-σ uncertainties on the expectation. The grey area masks regions where the width of the boson is greater than 0.5% of m_H. For the choice of cos (β-α) = -0.1 the light Higgs couplings are not significantly altered from their SM values.Event categorization as a function of the output of the MV1c b-tagging algorithm for the two signal jets. The bin boundaries correspond to the operating points (MV1c(jet) OP) giving b-tagging efficiencies of 100%, 80%, 70%, and 50%; i.e., the b-jet purity increases from left (bottom) to right (top). The event categories are labelled VL, L, M, T, and VT according to the definitions in the text, and the different colours correspond to events with 0, 1, and 2 identified b-jets.The distribution of the MV1c b-tagging event categories, based on the two signal jets, in the Z+jets control region in the (a) untagged ggF and (b) tagged ggF channels of the h → ZZ → llqq search. The b-jet purity generally increases from left to right. The dashed line shows the total background used as input to the fit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distribution of the MV1c b-tagging event categories, based on the two signal jets, in the Z+jets control region in the (a) untagged ggF and (b) tagged ggF channels of the h → ZZ → llqq search. The b-jet purity generally increases from left to right. The dashed line shows the total background used as input to the fit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distribution of the MV1c b-tagging event categories, based on the two signal jets, in the Wjets (a) 0-b-tag and (b) 1-b-tag control regions of the h → ZZ → ννqq search. The b-jet purity generally increases from left to right. The dashed line shows the total background used as input to the fit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.The distribution of the MV1c b-tagging event categories, based on the two signal jets, in the Wjets (a) 0-b-tag and (b) 1-b-tag control regions of the h → ZZ → ννqq search. The b-jet purity generally increases from left to right. The dashed line shows the total background used as input to the fit. The contribution labelled as `Top' includes both the ttbar and single-top processes. The bottom panes show the ratio of the observed data to the predicted background.