CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-HIG-17-033 ; CERN-EP-2019-230
Search for a heavy Higgs boson decaying to a pair of W bosons in proton-proton collisions at $\sqrt{s} = $ 13 TeV
JHEP 03 (2020) 034
Abstract: A search for a heavy Higgs boson in the mass range from 0.2 to 3.0 TeV, decaying to a pair of W bosons, is presented. The analysis is based on proton-proton collisions at $\sqrt{s} = $ 13 TeV recorded by the CMS experiment at the LHC in 2016, corresponding to an integrated luminosity of 35.9 fb$^{-1}$. The W boson pair decays are reconstructed in the ${2\ell 2\nu}$ and $ {\ell\nu 2\mathrm{q}}$ final states (with $\ell = $ e or $\mu$). Both gluon fusion and vector boson fusion production of the signal are considered. Interference effects between the signal and background are also taken into account. The observed data are consistent with the standard model (SM) expectation. Combined upper limits at 95% confidence level on the product of the cross section and branching fraction exclude a heavy Higgs boson with SM-like couplings and decays up to 1870 GeV. Exclusion limits are also set in the context of a number of two-Higgs-doublet model formulations, further reducing the allowed parameter space for SM extensions.
Figures & Tables Summary References CMS Publications
Figures

png pdf
Figure 1:
Generator-level mass of a ggF-produced 700 GeV signal (black line) normalized to the SM cross section. The effects of the interference of the signal with the ${\mathrm{g} \mathrm{g} {\to} {{\mathrm{W}} {\mathrm{W}}}}$ continuum and the ${\mathrm{g} \mathrm{g} {\to} {\mathrm{h} (125)}}$ off-shell tail are shown, together with the total interference effect.

png pdf
Figure 2:
The ${m_\text {reco}}$ distributions in the ${2\ell 2\nu}$ different- (upper and middle) and same-flavour (lower) categories, after performing a background-only fit with the dominant background normalizations determined using control regions. The points represent the data and the stacked histograms the expected backgrounds. Also shown are the sum of the expected ggF- and VBF-produced signals for $ {m_{\mathrm{X}}} = $ 400 and 1500 GeV, normalized to the SM cross sections, and without considering interference effects. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_\text {reco}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 2-a:
The ${m_\text {reco}}$ distributions in the ${2\ell 2\nu}$ different- (upper and middle) and same-flavour (lower) categories, after performing a background-only fit with the dominant background normalizations determined using control regions. The points represent the data and the stacked histograms the expected backgrounds. Also shown are the sum of the expected ggF- and VBF-produced signals for $ {m_{\mathrm{X}}} = $ 400 and 1500 GeV, normalized to the SM cross sections, and without considering interference effects. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_\text {reco}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 2-b:
The ${m_\text {reco}}$ distributions in the ${2\ell 2\nu}$ different- (upper and middle) and same-flavour (lower) categories, after performing a background-only fit with the dominant background normalizations determined using control regions. The points represent the data and the stacked histograms the expected backgrounds. Also shown are the sum of the expected ggF- and VBF-produced signals for $ {m_{\mathrm{X}}} = $ 400 and 1500 GeV, normalized to the SM cross sections, and without considering interference effects. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_\text {reco}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 2-c:
The ${m_\text {reco}}$ distributions in the ${2\ell 2\nu}$ different- (upper and middle) and same-flavour (lower) categories, after performing a background-only fit with the dominant background normalizations determined using control regions. The points represent the data and the stacked histograms the expected backgrounds. Also shown are the sum of the expected ggF- and VBF-produced signals for $ {m_{\mathrm{X}}} = $ 400 and 1500 GeV, normalized to the SM cross sections, and without considering interference effects. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_\text {reco}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 2-d:
The ${m_\text {reco}}$ distributions in the ${2\ell 2\nu}$ different- (upper and middle) and same-flavour (lower) categories, after performing a background-only fit with the dominant background normalizations determined using control regions. The points represent the data and the stacked histograms the expected backgrounds. Also shown are the sum of the expected ggF- and VBF-produced signals for $ {m_{\mathrm{X}}} = $ 400 and 1500 GeV, normalized to the SM cross sections, and without considering interference effects. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_\text {reco}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 2-e:
The ${m_\text {reco}}$ distributions in the ${2\ell 2\nu}$ different- (upper and middle) and same-flavour (lower) categories, after performing a background-only fit with the dominant background normalizations determined using control regions. The points represent the data and the stacked histograms the expected backgrounds. Also shown are the sum of the expected ggF- and VBF-produced signals for $ {m_{\mathrm{X}}} = $ 400 and 1500 GeV, normalized to the SM cross sections, and without considering interference effects. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_\text {reco}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 2-f:
The ${m_\text {reco}}$ distributions in the ${2\ell 2\nu}$ different- (upper and middle) and same-flavour (lower) categories, after performing a background-only fit with the dominant background normalizations determined using control regions. The points represent the data and the stacked histograms the expected backgrounds. Also shown are the sum of the expected ggF- and VBF-produced signals for $ {m_{\mathrm{X}}} = $ 400 and 1500 GeV, normalized to the SM cross sections, and without considering interference effects. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_\text {reco}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 3:
The ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ distributions in the ${\ell \nu 2\mathrm{q}}$ boosted (left) and resolved (right) categories, after performing a background-only fit with the dominant background normalizations determined using control regions. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. Also shown are the sum of the expected ggF- and VBF-produced signals for $ {m_{\mathrm{X}}} = $ 800 and 1500 GeV (left), and $ {m_{\mathrm{X}}} = $ 400 and 600 GeV (right), normalized to the SM cross sections, and without considering interference effects. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 3-a:
The ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ distributions in the ${\ell \nu 2\mathrm{q}}$ boosted (left) and resolved (right) categories, after performing a background-only fit with the dominant background normalizations determined using control regions. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. Also shown are the sum of the expected ggF- and VBF-produced signals for $ {m_{\mathrm{X}}} = $ 800 and 1500 GeV (left), and $ {m_{\mathrm{X}}} = $ 400 and 600 GeV (right), normalized to the SM cross sections, and without considering interference effects. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 3-b:
The ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ distributions in the ${\ell \nu 2\mathrm{q}}$ boosted (left) and resolved (right) categories, after performing a background-only fit with the dominant background normalizations determined using control regions. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. Also shown are the sum of the expected ggF- and VBF-produced signals for $ {m_{\mathrm{X}}} = $ 800 and 1500 GeV (left), and $ {m_{\mathrm{X}}} = $ 400 and 600 GeV (right), normalized to the SM cross sections, and without considering interference effects. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 3-c:
The ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ distributions in the ${\ell \nu 2\mathrm{q}}$ boosted (left) and resolved (right) categories, after performing a background-only fit with the dominant background normalizations determined using control regions. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. Also shown are the sum of the expected ggF- and VBF-produced signals for $ {m_{\mathrm{X}}} = $ 800 and 1500 GeV (left), and $ {m_{\mathrm{X}}} = $ 400 and 600 GeV (right), normalized to the SM cross sections, and without considering interference effects. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 3-d:
The ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ distributions in the ${\ell \nu 2\mathrm{q}}$ boosted (left) and resolved (right) categories, after performing a background-only fit with the dominant background normalizations determined using control regions. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. Also shown are the sum of the expected ggF- and VBF-produced signals for $ {m_{\mathrm{X}}} = $ 800 and 1500 GeV (left), and $ {m_{\mathrm{X}}} = $ 400 and 600 GeV (right), normalized to the SM cross sections, and without considering interference effects. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 3-e:
The ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ distributions in the ${\ell \nu 2\mathrm{q}}$ boosted (left) and resolved (right) categories, after performing a background-only fit with the dominant background normalizations determined using control regions. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. Also shown are the sum of the expected ggF- and VBF-produced signals for $ {m_{\mathrm{X}}} = $ 800 and 1500 GeV (left), and $ {m_{\mathrm{X}}} = $ 400 and 600 GeV (right), normalized to the SM cross sections, and without considering interference effects. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 3-f:
The ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ distributions in the ${\ell \nu 2\mathrm{q}}$ boosted (left) and resolved (right) categories, after performing a background-only fit with the dominant background normalizations determined using control regions. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. Also shown are the sum of the expected ggF- and VBF-produced signals for $ {m_{\mathrm{X}}} = $ 800 and 1500 GeV (left), and $ {m_{\mathrm{X}}} = $ 400 and 600 GeV (right), normalized to the SM cross sections, and without considering interference effects. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 4:
The ${m_\text {reco}}$ distributions in the top quark control regions of the ${2\ell 2\nu}$ different-flavour categories (upper and middle) and the DY control regions of the ${2\ell 2\nu}$ same-flavour categories (lower). The points represent the data and the stacked histograms show the expected backgrounds. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_\text {reco}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 4-a:
The ${m_\text {reco}}$ distributions in the top quark control regions of the ${2\ell 2\nu}$ different-flavour categories (upper and middle) and the DY control regions of the ${2\ell 2\nu}$ same-flavour categories (lower). The points represent the data and the stacked histograms show the expected backgrounds. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_\text {reco}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 4-b:
The ${m_\text {reco}}$ distributions in the top quark control regions of the ${2\ell 2\nu}$ different-flavour categories (upper and middle) and the DY control regions of the ${2\ell 2\nu}$ same-flavour categories (lower). The points represent the data and the stacked histograms show the expected backgrounds. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_\text {reco}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 4-c:
The ${m_\text {reco}}$ distributions in the top quark control regions of the ${2\ell 2\nu}$ different-flavour categories (upper and middle) and the DY control regions of the ${2\ell 2\nu}$ same-flavour categories (lower). The points represent the data and the stacked histograms show the expected backgrounds. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_\text {reco}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 4-d:
The ${m_\text {reco}}$ distributions in the top quark control regions of the ${2\ell 2\nu}$ different-flavour categories (upper and middle) and the DY control regions of the ${2\ell 2\nu}$ same-flavour categories (lower). The points represent the data and the stacked histograms show the expected backgrounds. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_\text {reco}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 4-e:
The ${m_\text {reco}}$ distributions in the top quark control regions of the ${2\ell 2\nu}$ different-flavour categories (upper and middle) and the DY control regions of the ${2\ell 2\nu}$ same-flavour categories (lower). The points represent the data and the stacked histograms show the expected backgrounds. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_\text {reco}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 4-f:
The ${m_\text {reco}}$ distributions in the top quark control regions of the ${2\ell 2\nu}$ different-flavour categories (upper and middle) and the DY control regions of the ${2\ell 2\nu}$ same-flavour categories (lower). The points represent the data and the stacked histograms show the expected backgrounds. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_\text {reco}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 5:
The ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ distributions in the sideband control regions of the ${\ell \nu 2\mathrm{q}}$ boosted (left) and resolved (right) categories, after fitting the sideband data with the top quark background normalization determined using a control region. Electron and muon channels are combined. The points represent the data and the stacked histograms show the expected backgrounds. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 5-a:
The ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ distributions in the sideband control regions of the ${\ell \nu 2\mathrm{q}}$ boosted (left) and resolved (right) categories, after fitting the sideband data with the top quark background normalization determined using a control region. Electron and muon channels are combined. The points represent the data and the stacked histograms show the expected backgrounds. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 5-b:
The ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ distributions in the sideband control regions of the ${\ell \nu 2\mathrm{q}}$ boosted (left) and resolved (right) categories, after fitting the sideband data with the top quark background normalization determined using a control region. Electron and muon channels are combined. The points represent the data and the stacked histograms show the expected backgrounds. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 5-c:
The ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ distributions in the sideband control regions of the ${\ell \nu 2\mathrm{q}}$ boosted (left) and resolved (right) categories, after fitting the sideband data with the top quark background normalization determined using a control region. Electron and muon channels are combined. The points represent the data and the stacked histograms show the expected backgrounds. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 5-d:
The ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ distributions in the sideband control regions of the ${\ell \nu 2\mathrm{q}}$ boosted (left) and resolved (right) categories, after fitting the sideband data with the top quark background normalization determined using a control region. Electron and muon channels are combined. The points represent the data and the stacked histograms show the expected backgrounds. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 5-e:
The ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ distributions in the sideband control regions of the ${\ell \nu 2\mathrm{q}}$ boosted (left) and resolved (right) categories, after fitting the sideband data with the top quark background normalization determined using a control region. Electron and muon channels are combined. The points represent the data and the stacked histograms show the expected backgrounds. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 5-f:
The ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ distributions in the sideband control regions of the ${\ell \nu 2\mathrm{q}}$ boosted (left) and resolved (right) categories, after fitting the sideband data with the top quark background normalization determined using a control region. Electron and muon channels are combined. The points represent the data and the stacked histograms show the expected backgrounds. The hatched area shows the combined statistical and systematic uncertainties in the background estimation. Lower panels show the ratio of data to expected background. Larger bin widths are used at higher ${m_{{{\mathrm{W}} {\mathrm{W}}}}}$ ; the bin widths are indicated by the horizontal error bars.

png pdf
Figure 6:
Expected and observed exclusion limits at 95% CL on the X cross section times branching fraction to WW for a number of ${f_\text {VBF}}$ hypotheses. For the SM ${f_\text {VBF}}$ (upper left) and floating ${f_\text {VBF}}$ (upper right) cases the red line represents the sum of the SM cross sections for ggF and VBF production, while for the $ {f_\text {VBF}} = $ 0 (lower left) and the $ {f_\text {VBF}} = $ 1 (lower right) cases it represents the ggF and VBF production cross sections, respectively. The black dotted line corresponds to the central expected value while the yellow and green bands represent the 68 and 95% CL uncertainties, respectively.

png pdf
Figure 6-a:
Expected and observed exclusion limits at 95% CL on the X cross section times branching fraction to WW for a number of ${f_\text {VBF}}$ hypotheses. For the SM ${f_\text {VBF}}$ (upper left) and floating ${f_\text {VBF}}$ (upper right) cases the red line represents the sum of the SM cross sections for ggF and VBF production, while for the $ {f_\text {VBF}} = $ 0 (lower left) and the $ {f_\text {VBF}} = $ 1 (lower right) cases it represents the ggF and VBF production cross sections, respectively. The black dotted line corresponds to the central expected value while the yellow and green bands represent the 68 and 95% CL uncertainties, respectively.

png pdf
Figure 6-b:
Expected and observed exclusion limits at 95% CL on the X cross section times branching fraction to WW for a number of ${f_\text {VBF}}$ hypotheses. For the SM ${f_\text {VBF}}$ (upper left) and floating ${f_\text {VBF}}$ (upper right) cases the red line represents the sum of the SM cross sections for ggF and VBF production, while for the $ {f_\text {VBF}} = $ 0 (lower left) and the $ {f_\text {VBF}} = $ 1 (lower right) cases it represents the ggF and VBF production cross sections, respectively. The black dotted line corresponds to the central expected value while the yellow and green bands represent the 68 and 95% CL uncertainties, respectively.

png pdf
Figure 6-c:
Expected and observed exclusion limits at 95% CL on the X cross section times branching fraction to WW for a number of ${f_\text {VBF}}$ hypotheses. For the SM ${f_\text {VBF}}$ (upper left) and floating ${f_\text {VBF}}$ (upper right) cases the red line represents the sum of the SM cross sections for ggF and VBF production, while for the $ {f_\text {VBF}} = $ 0 (lower left) and the $ {f_\text {VBF}} = $ 1 (lower right) cases it represents the ggF and VBF production cross sections, respectively. The black dotted line corresponds to the central expected value while the yellow and green bands represent the 68 and 95% CL uncertainties, respectively.

png pdf
Figure 6-d:
Expected and observed exclusion limits at 95% CL on the X cross section times branching fraction to WW for a number of ${f_\text {VBF}}$ hypotheses. For the SM ${f_\text {VBF}}$ (upper left) and floating ${f_\text {VBF}}$ (upper right) cases the red line represents the sum of the SM cross sections for ggF and VBF production, while for the $ {f_\text {VBF}} = $ 0 (lower left) and the $ {f_\text {VBF}} = $ 1 (lower right) cases it represents the ggF and VBF production cross sections, respectively. The black dotted line corresponds to the central expected value while the yellow and green bands represent the 68 and 95% CL uncertainties, respectively.

png pdf
Figure 7:
Expected and observed 95% CL upper limits on ${\tan\beta}$ as a function of ${m_{\mathrm{H}}}$ for a Type-I (left) and Type-II (right) 2HDMs. It is assumed that $ {m_{\mathrm{H}}} = {m_{\mathrm{A} }} $ and $ {\cos(\beta -\alpha)} = $ 0.1. The expected limit is shown as a dashed black line while the dark and light gray bands indicate the 68 and 95% CL uncertainties, respectively. The observed exclusion contour is indicated by the blue area.

png pdf
Figure 7-a:
Expected and observed 95% CL upper limits on ${\tan\beta}$ as a function of ${m_{\mathrm{H}}}$ for a Type-I (left) and Type-II (right) 2HDMs. It is assumed that $ {m_{\mathrm{H}}} = {m_{\mathrm{A} }} $ and $ {\cos(\beta -\alpha)} = $ 0.1. The expected limit is shown as a dashed black line while the dark and light gray bands indicate the 68 and 95% CL uncertainties, respectively. The observed exclusion contour is indicated by the blue area.

png pdf
Figure 7-b:
Expected and observed 95% CL upper limits on ${\tan\beta}$ as a function of ${m_{\mathrm{H}}}$ for a Type-I (left) and Type-II (right) 2HDMs. It is assumed that $ {m_{\mathrm{H}}} = {m_{\mathrm{A} }} $ and $ {\cos(\beta -\alpha)} = $ 0.1. The expected limit is shown as a dashed black line while the dark and light gray bands indicate the 68 and 95% CL uncertainties, respectively. The observed exclusion contour is indicated by the blue area.

png pdf
Figure 8:
Expected and observed 95% CL upper limits on ${\tan\beta}$ as a function of ${m_{\mathrm{A} }}$ for the ${m_{{\mathrm{h}}}^\text {mod+}}$ (left) and hMSSM (right) scenarios. The expected limit is shown as a dashed black line while the dark and light gray bands indicate the 68 and 95% CL uncertainties, respectively. The observed exclusion contour is indicated by the blue area.

png pdf
Figure 8-a:
Expected and observed 95% CL upper limits on ${\tan\beta}$ as a function of ${m_{\mathrm{A} }}$ for the ${m_{{\mathrm{h}}}^\text {mod+}}$ (left) and hMSSM (right) scenarios. The expected limit is shown as a dashed black line while the dark and light gray bands indicate the 68 and 95% CL uncertainties, respectively. The observed exclusion contour is indicated by the blue area.

png pdf
Figure 8-b:
Expected and observed 95% CL upper limits on ${\tan\beta}$ as a function of ${m_{\mathrm{A} }}$ for the ${m_{{\mathrm{h}}}^\text {mod+}}$ (left) and hMSSM (right) scenarios. The expected limit is shown as a dashed black line while the dark and light gray bands indicate the 68 and 95% CL uncertainties, respectively. The observed exclusion contour is indicated by the blue area.

png pdf
Figure 9:
Expected and observed 95% CL upper limits on ${\tan\beta}$ as a function of ${m_{\mathrm{A} }}$ for the ${M_{{\mathrm{h}}}^{125}}$ (upper left), ${M_{{\mathrm{h}}}^{125}\text {(alignment)}}$ (upper right), ${M_{{\mathrm{h}}}^{125}(\tilde{\chi})}$ (lower left), and ${M_{{\mathrm{h}}}^{125}(\tilde{\tau})}$ (lower right) scenarios. The expected limit is shown as a dashed black line while the dark and light gray bands indicate the 68 and 95% CL uncertainties, respectively. The observed exclusion contour is indicated by the blue area.

png pdf
Figure 9-a:
Expected and observed 95% CL upper limits on ${\tan\beta}$ as a function of ${m_{\mathrm{A} }}$ for the ${M_{{\mathrm{h}}}^{125}}$ (upper left), ${M_{{\mathrm{h}}}^{125}\text {(alignment)}}$ (upper right), ${M_{{\mathrm{h}}}^{125}(\tilde{\chi})}$ (lower left), and ${M_{{\mathrm{h}}}^{125}(\tilde{\tau})}$ (lower right) scenarios. The expected limit is shown as a dashed black line while the dark and light gray bands indicate the 68 and 95% CL uncertainties, respectively. The observed exclusion contour is indicated by the blue area.

png pdf
Figure 9-b:
Expected and observed 95% CL upper limits on ${\tan\beta}$ as a function of ${m_{\mathrm{A} }}$ for the ${M_{{\mathrm{h}}}^{125}}$ (upper left), ${M_{{\mathrm{h}}}^{125}\text {(alignment)}}$ (upper right), ${M_{{\mathrm{h}}}^{125}(\tilde{\chi})}$ (lower left), and ${M_{{\mathrm{h}}}^{125}(\tilde{\tau})}$ (lower right) scenarios. The expected limit is shown as a dashed black line while the dark and light gray bands indicate the 68 and 95% CL uncertainties, respectively. The observed exclusion contour is indicated by the blue area.

png pdf
Figure 9-c:
Expected and observed 95% CL upper limits on ${\tan\beta}$ as a function of ${m_{\mathrm{A} }}$ for the ${M_{{\mathrm{h}}}^{125}}$ (upper left), ${M_{{\mathrm{h}}}^{125}\text {(alignment)}}$ (upper right), ${M_{{\mathrm{h}}}^{125}(\tilde{\chi})}$ (lower left), and ${M_{{\mathrm{h}}}^{125}(\tilde{\tau})}$ (lower right) scenarios. The expected limit is shown as a dashed black line while the dark and light gray bands indicate the 68 and 95% CL uncertainties, respectively. The observed exclusion contour is indicated by the blue area.

png pdf
Figure 9-d:
Expected and observed 95% CL upper limits on ${\tan\beta}$ as a function of ${m_{\mathrm{A} }}$ for the ${M_{{\mathrm{h}}}^{125}}$ (upper left), ${M_{{\mathrm{h}}}^{125}\text {(alignment)}}$ (upper right), ${M_{{\mathrm{h}}}^{125}(\tilde{\chi})}$ (lower left), and ${M_{{\mathrm{h}}}^{125}(\tilde{\tau})}$ (lower right) scenarios. The expected limit is shown as a dashed black line while the dark and light gray bands indicate the 68 and 95% CL uncertainties, respectively. The observed exclusion contour is indicated by the blue area.
Tables

png pdf
Table 1:
Summary of systematic uncertainties, quoted in percent, affecting the normalization of the background and signal samples. The uncertainties on the WW, top quark and DY (W+jets and top quark) background estimates in the ${2\ell 2\nu}$ (${\ell \nu 2\mathrm{q}}$) categories have been determined during the fit to the data. The numbers shown as ranges represent the uncertainties for different processes and categories. Missing values represent uncertainties either estimated to be negligible ($ < $0.1%), or not applicable in a specific channel. Those systematic uncertainties found to affect the shape of kinematic distributions are labeled with *.
Summary
A search for a heavy Higgs boson decaying to a pair of W bosons in the mass range from 0.2 to 3.0 TeV has been presented. The data analysed were collected by the CMS experiment at the LHC in 2016, corresponding to an integrated luminosity of 35.9 fb$^{-1}$ at $\sqrt{s} = $ 13 TeV. The W boson pair decays are reconstructed in the ${2\ell 2\nu}$ and $ {\ell\nu 2\mathrm{q}}$ final states. Both gluon fusion and vector boson fusion production of the signal are considered, with a number of hypotheses for their relative contributions investigated. Interference effects between the signal and background are also taken into account. Dedicated event categorizations based on both the kinematic properties of associated jets and matrix element techniques are employed to optimize the signal sensitivity. No evidence for an excess of events with respect to the standard model (SM) predictions is observed. Combined upper limits at 95% confidence level on the product of the cross section and branching fraction exclude a heavy Higgs boson with SM-like couplings and decays up to 1870 GeV. Exclusion limits are also set in the context of a number of two-Higgs-doublet model formulations, further reducing the allowed parameter space for extensions of the SM.
References
1 ATLAS Collaboration Observation of a new particle in the search for the standard model Higgs boson with the ATLAS detector at the LHC PLB 716 (2012) 1 1207.7214
2 CMS Collaboration Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC PLB 716 (2012) 30 CMS-HIG-12-028
1207.7235
3 CMS Collaboration Observation of a new boson with mass near 125 GeV in pp Collisions at $ \sqrt{s} = $ 7 and 8 TeV JHEP 06 (2013) 081 CMS-HIG-12-036
1303.4571
4 ATLAS Collaboration Study of the spin and parity of the Higgs boson in diboson decays with the ATLAS detector EPJC 75 (2015) 476 1506.05669
5 ATLAS Collaboration Combined measurements of Higgs boson production and decay using up to 80 fb$ ^{-1} $ of proton-proton collision data at $ \sqrt{s}= $ 13 TeV collected with the ATLAS experiment Accepted by PRD 1909.02845
6 ATLAS Collaboration Combined measurement of differential and total cross sections in the H $ \rightarrow \gamma \gamma $ and the H $ \rightarrow $ ZZ$ ^* \rightarrow 4\ell $ decay channels at $ \sqrt{s} = $ 13 TeV with the ATLAS detector PLB 786 (2018) 114 1805.10197
7 ATLAS Collaboration Constraints on off-shell Higgs boson production and the Higgs boson total width in ZZ$ \to4\ell $ and ZZ$ \to2\ell2\nu $ final states with the ATLAS detector PLB 786 (2018) 223 1808.01191
8 ATLAS Collaboration Measurement of the Higgs boson coupling properties in the H$ \rightarrow $ ZZ$ ^{*} \rightarrow 4\ell $ decay channel at $ \sqrt{s} = $ 13 TeV with the ATLAS detector JHEP 03 (2018) 095 1712.02304
9 ATLAS and CMS Collaborations Measurements of the Higgs boson production and decay rates and constraints on its couplings from a combined ATLAS and CMS analysis of the LHC pp collision data at $ \sqrt{s}= $ 7 and 8 TeV JHEP 08 (2016) 045 1606.02266
10 CMS Collaboration Combined search for anomalous pseudoscalar HVV couplings in VH(H $ \to b \bar b $) production and H $ \to $ VV decay PLB 759 (2016) 672 CMS-HIG-14-035
1602.04305
11 CMS Collaboration Constraints on anomalous Higgs boson couplings using production and decay information in the four-lepton final state PLB 775 (2017) 1 CMS-HIG-17-011
1707.00541
12 CMS Collaboration Measurements of the Higgs boson width and anomalous HVV couplings from on-shell and off-shell production in the four-lepton final state PRD 99 (2019) 112003 CMS-HIG-18-002
1901.00174
13 CMS Collaboration Measurement and interpretation of differential cross sections for Higgs boson production at $ \sqrt{s} = $ 13 TeV PLB 792 (2019) 369 CMS-HIG-17-028
1812.06504
14 CMS Collaboration Combined measurements of Higgs boson couplings in proton-proton collisions at $ \sqrt{s} = $ 13 TeV EPJC 79 (2019) 421 CMS-HIG-17-031
1809.10733
15 CMS Collaboration Constraints on anomalous HVV couplings from the production of Higgs bosons decaying to $ \tau $ lepton pairs Accepted by PRD CMS-HIG-17-034
1903.06973
16 C. Englert et al. Precision measurements of Higgs couplings: Implications for new physics scales JPG 41 (2014) 113001 1403.7191
17 T. Plehn, D. L. Rainwater, and D. Zeppenfeld Determining the structure of Higgs couplings at the LHC PRL 88 (2002) 051801 hep-ph/0105325
18 I. Anderson et al. Constraining anomalous HVV interactions at proton and lepton colliders PRD 89 (2014) 035007 1309.4819
19 F. Bishara, U. Haisch, P. F. Monni, and E. Re Constraining light-quark Yukawa couplings from Higgs distributions PRL 118 (2017) 121801 1606.09253
20 M. Grazzini, A. Ilnicka, M. Spira, and M. Wiesemann Modeling BSM effects on the Higgs transverse-momentum spectrum in an EFT approach JHEP 03 (2017) 115 1612.00283
21 V. Barger et al. LHC phenomenology of an extended standard model with a real scalar singlet PRD 77 (2008) 035005 0706.4311
22 G. C. Branco et al. Theory and phenomenology of two-Higgs-doublet models PR 516 (2012) 1 1106.0034
23 ATLAS Collaboration Search for a high-mass Higgs boson decaying to a W boson pair in pp collisions at $ \sqrt{s} = $ 8 TeV with the ATLAS detector JHEP 01 (2016) 032 1509.00389
24 ATLAS Collaboration Search for an additional, heavy Higgs boson in the H$ \rightarrow $ZZ decay channel at $ \sqrt{s} = $ 8 TeV in pp collision data with the ATLAS detector EPJC 76 (2016) 45 1507.05930
25 ATLAS Collaboration Search for heavy resonances decaying into WW in the $ e\nu\mu\nu $ final state in pp collisions at $ \sqrt{s} = $ 13 TeV with the ATLAS detector EPJC 78 (2018) 24 1710.01123
26 CMS Collaboration Search for a Higgs boson in the mass range from 145 to 1000 GeV decaying to a pair of W or Z bosons JHEP 10 (2015) 144 CMS-HIG-13-031
1504.00936
27 CMS Collaboration Search for a new scalar resonance decaying to a pair of Z bosons in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JHEP 06 (2018) 127 CMS-HIG-17-012
1804.01939
28 A. Denner et al. Standard model Higgs boson branching ratios with uncertainties EPJC 71 (2011) 1753 1107.5909
29 N. Kauer and C. O'Brien Heavy Higgs signal background interference in gg$ \rightarrow $VV in the standard model plus real singlet EPJC 75 (2015) 374 1502.04113
30 S. P. Martin A supersymmetry primer Adv. Ser. Direct. High Energy Phys. 18 (1998) 1 hep-ph/9709356
31 J. E. Kim Light pseudoscalars, particle physics and cosmology PR 150 (1987) 1
32 J. M. Cline, K. Kainulainen, and M. Trott Electroweak baryogenesis in two Higgs doublet models and B meson anomalies JHEP 11 (2011) 089 1107.3559
33 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004 CMS-00-001
34 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
35 P. Nason A new method for combining NLO QCD with shower Monte Carlo algorithms JHEP 11 (2004) 040 hep-ph/0409146
36 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with parton shower simulations: the $ POWHEG $ method JHEP 11 (2007) 070 0709.2092
37 S. Alioli, P. Nason, C. Oleari, and E. Re A general framework for implementing NLO calculations in shower Monte Carlo programs: the $ POWHEG $ BOX JHEP 06 (2010) 043 1002.2581
38 E. Bagnaschi, G. Degrassi, P. Slavich, and A. Vicini Higgs production via gluon fusion in the $ POWHEG $ approach in the SM and in the MSSM JHEP 02 (2012) 088 1111.2854
39 P. Nason and C. Oleari NLO Higgs boson production via vector-boson fusion matched with shower in $ POWHEG $ JHEP 02 (2010) 037 0911.5299
40 Y. Gao et al. Spin determination of single-produced resonances at hadron colliders PRD 81 (2010) 075022 1001.3396
41 S. Bolognesi et al. On the spin and parity of a single-produced resonance at the LHC PRD 86 (2012) 095031 1208.4018
42 LHC Higgs Cross Section Working Group Handbook of LHC Higgs cross sections: 4. deciphering the nature of the Higgs sector CERN (2016) 1610.07922
43 J. Alwall et al. The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations JHEP 07 (2014) 079 1405.0301
44 R. Frederix and S. Frixione Merging meets matching in MC@NLO JHEP 12 (2012) 061 1209.6215
45 Y. Li and F. Petriello Combining QCD and electroweak corrections to dilepton production in $ FEWZ $ PRD 86 (2012) 094034 1208.5967
46 E. Re Single-top Wt-channel production matched with parton showers using the $ POWHEG $ method EPJC 71 (2011) 1547 1009.2450
47 S. Frixione, P. Nason, and G. Ridolfi A positive-weight next-to-leading order Monte Carlo for heavy flavour hadroproduction JHEP 09 (2007) 126 0707.3088
48 P. Kant et al. HATHOR for single top-quark production: Updated predictions and uncertainty estimates for single top-quark production in hadronic collisions CPC 191 (2015) 74 1406.4403
49 M. Czakon and A. Mitov Top++: A program for the calculation of the top-pair cross-section at hadron colliders CPC 185 (2014) 2930 1112.5675
50 T. Melia, P. Nason, R. Rontsch, and G. Zanderighi $ \mathrm{W^{+}W^{-}} $, WZ and ZZ production in the $ POWHEG $ BOX JHEP 11 (2011) 078 1107.5051
51 J. M. Campbell, R. K. Ellis, and C. Williams Bounding the Higgs width at the LHC: Complementary results from H $ \to $ WW PRD 89 (2014) 053011 1312.1628
52 T. Gehrmann et al. W$ ^+ $W$ ^- $ production at hadron colliders in next-to-next-to-leading order QCD PRL 113 (2014) 212001 1408.5243
53 F. Caola, K. Melnikov, R. Rontsch, and L. Tancredi QCD corrections to W$ ^{+} $W$ ^{-} $ production through gluon fusion PLB 754 (2016) 275 1511.08617
54 P. Meade, H. Ramani, and M. Zeng Transverse momentum resummation effects in W$ ^+ $W$ ^- $ measurements PRD 90 (2014) 114006 1407.4481
55 P. Jaiswal and T. Okui Explanation of the WW excess at the LHC by jet-veto resummation PRD 90 (2014) 073009 1407.4537
56 T. Sjostrand et al. An introduction to PYTHIA 8.2 CPC 191 (2015) 159 1410.3012
57 NNPDF Collaboration Parton distributions with QED corrections NPB 877 (2013) 290 1308.0598
58 NNPDF Collaboration Unbiased global determination of parton distributions and their uncertainties at NNLO and at LO NPB 855 (2012) 153 1107.2652
59 CMS Collaboration Event generator tunes obtained from underlying event and multiparton scattering measurements EPJC 76 (2016) 155 CMS-GEN-14-001
1512.00815
60 P. Richardson and A. Wilcock Monte Carlo simulation of hard radiation in decays in beyond the standard model physics in Herwig++ EPJC 74 (2014) 2713 1303.4563
61 M. Bahr et al. Herwig++ physics and manual EPJC 58 (2008) 639 0803.0883
62 GEANT4 Collaboration GEANT4 ---a simulation toolkit NIMA 506 (2003) 250
63 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017) P10003 CMS-PRF-14-001
1706.04965
64 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ {k_{\mathrm{T}}} $ jet clustering algorithm JHEP 04 (2008) 063 0802.1189
65 M. Cacciari, G. P. Salam, and G. Soyez $ FastJet $ user manual EPJC 72 (2012) 1896 1111.6097
66 CMS Collaboration Performance of electron reconstruction and selection with the CMS detector in proton proton collisions at $ \sqrt{s} = $ 8 TeV JINST 10 (2015) P06005 CMS-EGM-13-001
1502.02701
67 CMS Collaboration Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at $ \sqrt{s}= $ 13 TeV JINST 13 (2018) P06015 CMS-MUO-16-001
1804.04528
68 M. Cacciari and G. P. Salam Pileup subtraction using jet areas PLB 659 (2008) 119 0707.1378
69 CMS Collaboration Determination of jet energy calibration and transverse momentum resolution in CMS JINST 6 (2011) P11002 CMS-JME-10-011
1107.4277
70 D. Bertolini, P. Harris, M. Low, and N. Tran Pileup per particle identification JHEP 10 (2014) 059 1407.6013
71 M. Dasgupta, A. Fregoso, S. Marzani, and G. P. Salam Towards an understanding of jet substructure JHEP 09 (2013) 029 1307.0007
72 J. M. Butterworth, A. R. Davison, M. Rubin, and G. P. Salam Jet substructure as a new Higgs search channel at the LHC PRL 100 (2008) 242001 0802.2470
73 A. J. Larkoski, S. Marzani, G. Soyez, and J. Thaler Soft Drop JHEP 05 (2014) 146 1402.2657
74 J. Thaler and K. Van Tilburg Identifying boosted objects with $ N $-subjettiness JHEP 03 (2011) 015 1011.2268
75 CMS Collaboration Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV JINST 13 (2018) P05011 CMS-BTV-16-002
1712.07158
76 P. Fayet Supergauge invariant extension of the Higgs mechanism and a model for the electron and its neutrino NPB 90 (1975) 104
77 P. Fayet Spontaneously broken supersymmetric theories of weak, electromagnetic and strong interactions PLB 69 (1977) 489
78 M. Carena et al. MSSM Higgs boson searches at the LHC: Benchmark scenarios after the discovery of a Higgs-like particle EPJC 73 (2013) 2552 1302.7033
79 A. Djouadi et al. The post-Higgs MSSM scenario: Habemus MSSM? EPJC 73 (2013) 2650 1307.5205
80 A. Djouadi et al. Fully covering the MSSM Higgs sector at the LHC JHEP 06 (2015) 168 1502.05653
81 E. Bagnaschi et al. MSSM Higgs boson searches at the LHC: Benchmark scenarios for Run 2 and beyond EPJC 79 (2019) 617 1808.07542
82 R. V. Harlander, S. Liebler, and H. Mantler SusHi: A program for the calculation of Higgs production in gluon fusion and bottom-quark annihilation in the standard model and the MSSM CPC 184 (2013) 1605 1212.3249
83 S. Heinemeyer, W. Hollik, and G. Weiglein FeynHiggs: A program for the calculation of the masses of the neutral CP even Higgs bosons in the MSSM CPC 124 (2000) 76 hep-ph/9812320
84 S. Heinemeyer, W. Hollik, and G. Weiglein The masses of the neutral CP-even Higgs bosons in the MSSM: Accurate analysis at the two loop level EPJC 9 (1999) 343 hep-ph/9812472
85 G. Degrassi et al. Towards high precision predictions for the MSSM Higgs sector EPJC 28 (2003) 133 hep-ph/0212020
86 M. Frank et al. The Higgs boson masses and mixings of the complex MSSM in the Feynman-diagrammatic approach JHEP 02 (2007) 047 hep-ph/0611326
87 T. Hahn et al. High-precision predictions for the light CP-even Higgs boson mass of the minimal supersymmetric standard model PRL 112 (2014) 141801 1312.4937
88 A. Djouadi, J. Kalinowski, and M. Spira HDECAY: A program for Higgs boson decays in the standard model and its supersymmetric extension CPC 108 (1998) 56 hep-ph/9704448
89 A. Djouadi, J. Kalinowski, M. Muehlleitner, and M. Spira HDECAY: Twenty++ years after CPC 238 (2019) 214 1801.09506
90 D. Eriksson, J. Rathsman, and O. St\ral 2HDMC: two-Higgs-doublet model calculator physics and manual CPC 181 (2010) 189 0902.0851
91 D0 Collaboration Direct measurement of the top quark mass at D0 PRD 58 (1998) 052001 hep-ex/9801025
92 CMS Collaboration Measurement of the inclusive W and Z production cross sections in pp collisions at $ \sqrt{s} = $ 7 TeV JHEP 10 (2011) 132 CMS-EWK-10-005
1107.4789
93 CMS Collaboration Identification of b-quark jets with the CMS experiment JINST 8 (2013) P04013 CMS-BTV-12-001
1211.4462
94 CMS Collaboration Identification techniques for highly boosted W bosons that decay into hadrons JHEP 12 (2014) 017 CMS-JME-13-006
1410.4227
95 T. Junk Confidence level computation for combining searches with small statistics NIMA 434 (1999) 435 hep-ex/9902006
96 A. L. Read Presentation of search results: the CLs technique JPG 28 (2002) 2693
97 G. Cowan, K. Cranmer, E. Gross, and O. Vitells Asymptotic formulae for likelihood-based tests of new physics EPJC 71 (2011) 1554 1007.1727
98 R. J. Barlow and C. Beeston Fitting using finite Monte Carlo samples CPC 77 (1993) 219
99 J. Butterworth et al. PDF4LHC recommendations for LHC Run II JPG 43 (2016) 023001 1510.03865
100 M. Cacciari et al. The $ \mathrm{t\bar{t}} $ cross section at 1.8 TeV and 1.96$ TeV: $ A study of the systematics due to parton densities and scale dependence JHEP 04 (2004) 068 hep-ph/0303085
101 CMS Collaboration CMS luminosity measurements for the 2016 data taking period
102 R. Boughezal et al. Combining resummed Higgs predictions across jet bins PRD 89 (2014) 074044 1312.4535
103 CMS Collaboration Measurements of the pp $ \to $ WZ inclusive and differential production cross section and constraints on charged anomalous triple gauge couplings at $ \sqrt{s} = $ 13 TeV JHEP 04 (2019) 122 CMS-SMP-18-002
1901.03428
104 CMS Collaboration Measurement of differential cross sections for Z boson production in association with jets in proton-proton collisions at $ \sqrt{s} = $ 13 TeV EPJC 78 (2018) 965 CMS-SMP-16-015
1804.05252
105 CMS Collaboration Search for additional neutral MSSM Higgs bosons in the $ \tau\tau $ final state in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JHEP 09 (2018) 007 CMS-HIG-17-020
1803.06553
Compact Muon Solenoid
LHC, CERN