CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-PAS-HIG-17-033
Search for a heavy Higgs boson decaying to a pair of W bosons in proton-proton collisions at $\sqrt{s}= $ 13 TeV
Abstract: A search for a heavy Higgs boson decaying to a pair of W bosons in the mass range from 200 GeV to 3 TeV is presented. The analysis is based on proton-proton collisions recorded by the CMS experiment at the CERN LHC in 2016, corresponding to an integrated luminosity of 35.9 fb$^{-1}$ at $\sqrt{s}= $ 13 TeV. The decay of the W boson pair is reconstructed in the $\ell \nu \ell ' \nu '$ and $\ell \nu \mathrm{q\bar{q}}$ final states. Both gluon fusion and vector boson fusion production of the signal are considered, with a number of hypotheses for their relative contribution investigated. Interference effects between the signal and background are also taken into account. Dedicated event categorizations based on the kinematic properties of associated jets and matrix element techniques are employed to optimise the signal sensitivity. The observed data are consistent with the standard model expectation. Combined upper limits at the 95% confidence level on the product of the cross section and branching fraction exclude a heavy Higgs boson with Standard Model-like couplings and decays in the mass range evaluated. Exclusion limits are also set in the context of two Higgs doublet models.
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 gg$\to $WW continuum and the SM Higgs are shown in blue and red respectively. The total interference effect is shown in green.

png pdf
Figure 2:
The $m_T^I$ distributions in data and simulation for events in the different flavour (top and middle) and same flavour (bottom) categories of the 2$\ell $2$\nu $ analysis. The points represent the data and the stacked histograms the expected backgrounds. The open histograms show the sum of the expected ggF and VBF produced signals without considering interference effects and normalized to the SM cross-sections. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 2-a:
The $m_T^I$ distributions in data and simulation for events in the different flavour (top and middle) and same flavour (bottom) categories of the 2$\ell $2$\nu $ analysis. The points represent the data and the stacked histograms the expected backgrounds. The open histograms show the sum of the expected ggF and VBF produced signals without considering interference effects and normalized to the SM cross-sections. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 2-b:
The $m_T^I$ distributions in data and simulation for events in the different flavour (top and middle) and same flavour (bottom) categories of the 2$\ell $2$\nu $ analysis. The points represent the data and the stacked histograms the expected backgrounds. The open histograms show the sum of the expected ggF and VBF produced signals without considering interference effects and normalized to the SM cross-sections. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 2-c:
The $m_T^I$ distributions in data and simulation for events in the different flavour (top and middle) and same flavour (bottom) categories of the 2$\ell $2$\nu $ analysis. The points represent the data and the stacked histograms the expected backgrounds. The open histograms show the sum of the expected ggF and VBF produced signals without considering interference effects and normalized to the SM cross-sections. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 2-d:
The $m_T^I$ distributions in data and simulation for events in the different flavour (top and middle) and same flavour (bottom) categories of the 2$\ell $2$\nu $ analysis. The points represent the data and the stacked histograms the expected backgrounds. The open histograms show the sum of the expected ggF and VBF produced signals without considering interference effects and normalized to the SM cross-sections. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 2-e:
The $m_T^I$ distributions in data and simulation for events in the different flavour (top and middle) and same flavour (bottom) categories of the 2$\ell $2$\nu $ analysis. The points represent the data and the stacked histograms the expected backgrounds. The open histograms show the sum of the expected ggF and VBF produced signals without considering interference effects and normalized to the SM cross-sections. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 2-f:
The $m_T^I$ distributions in data and simulation for events in the different flavour (top and middle) and same flavour (bottom) categories of the 2$\ell $2$\nu $ analysis. The points represent the data and the stacked histograms the expected backgrounds. The open histograms show the sum of the expected ggF and VBF produced signals without considering interference effects and normalized to the SM cross-sections. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 3:
The $m_{\mathrm{WW}}$ distributions in data and simulation for events in the boosted (left) and resolved (right) production categories of the $\ell \nu $2$q$ analysis. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. The open histograms show the sum of the expected ggF and VBF produced signals without considering interference effects and normalized to the SM cross-sections. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 3-a:
The $m_{\mathrm{WW}}$ distributions in data and simulation for events in the boosted (left) and resolved (right) production categories of the $\ell \nu $2$q$ analysis. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. The open histograms show the sum of the expected ggF and VBF produced signals without considering interference effects and normalized to the SM cross-sections. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 3-b:
The $m_{\mathrm{WW}}$ distributions in data and simulation for events in the boosted (left) and resolved (right) production categories of the $\ell \nu $2$q$ analysis. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. The open histograms show the sum of the expected ggF and VBF produced signals without considering interference effects and normalized to the SM cross-sections. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 3-c:
The $m_{\mathrm{WW}}$ distributions in data and simulation for events in the boosted (left) and resolved (right) production categories of the $\ell \nu $2$q$ analysis. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. The open histograms show the sum of the expected ggF and VBF produced signals without considering interference effects and normalized to the SM cross-sections. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 3-d:
The $m_{\mathrm{WW}}$ distributions in data and simulation for events in the boosted (left) and resolved (right) production categories of the $\ell \nu $2$q$ analysis. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. The open histograms show the sum of the expected ggF and VBF produced signals without considering interference effects and normalized to the SM cross-sections. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 3-e:
The $m_{\mathrm{WW}}$ distributions in data and simulation for events in the boosted (left) and resolved (right) production categories of the $\ell \nu $2$q$ analysis. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. The open histograms show the sum of the expected ggF and VBF produced signals without considering interference effects and normalized to the SM cross-sections. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 3-f:
The $m_{\mathrm{WW}}$ distributions in data and simulation for events in the boosted (left) and resolved (right) production categories of the $\ell \nu $2$q$ analysis. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. The open histograms show the sum of the expected ggF and VBF produced signals without considering interference effects and normalized to the SM cross-sections. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 4:
The $m_T^I$ distributions in data and simulation for events in the top control regions of the 2$\ell $2$\nu $ different flavour categories (top and middle) and the DY control regions of the 2$\ell $2$\nu $ same flavour categories (bottom). The points represent the data and the stacked histograms the expected backgrounds. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 4-a:
The $m_T^I$ distributions in data and simulation for events in the top control regions of the 2$\ell $2$\nu $ different flavour categories (top and middle) and the DY control regions of the 2$\ell $2$\nu $ same flavour categories (bottom). The points represent the data and the stacked histograms the expected backgrounds. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 4-b:
The $m_T^I$ distributions in data and simulation for events in the top control regions of the 2$\ell $2$\nu $ different flavour categories (top and middle) and the DY control regions of the 2$\ell $2$\nu $ same flavour categories (bottom). The points represent the data and the stacked histograms the expected backgrounds. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 4-c:
The $m_T^I$ distributions in data and simulation for events in the top control regions of the 2$\ell $2$\nu $ different flavour categories (top and middle) and the DY control regions of the 2$\ell $2$\nu $ same flavour categories (bottom). The points represent the data and the stacked histograms the expected backgrounds. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 4-d:
The $m_T^I$ distributions in data and simulation for events in the top control regions of the 2$\ell $2$\nu $ different flavour categories (top and middle) and the DY control regions of the 2$\ell $2$\nu $ same flavour categories (bottom). The points represent the data and the stacked histograms the expected backgrounds. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 4-e:
The $m_T^I$ distributions in data and simulation for events in the top control regions of the 2$\ell $2$\nu $ different flavour categories (top and middle) and the DY control regions of the 2$\ell $2$\nu $ same flavour categories (bottom). The points represent the data and the stacked histograms the expected backgrounds. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 4-f:
The $m_T^I$ distributions in data and simulation for events in the top control regions of the 2$\ell $2$\nu $ different flavour categories (top and middle) and the DY control regions of the 2$\ell $2$\nu $ same flavour categories (bottom). The points represent the data and the stacked histograms the expected backgrounds. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 5:
The $m_{WW}$ distributions in data and simulation for events in the sideband control regions of the $\ell \nu $2$q$ boosted (left) and resolved (right) production categories. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 5-a:
The $m_{WW}$ distributions in data and simulation for events in the sideband control regions of the $\ell \nu $2$q$ boosted (left) and resolved (right) production categories. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 5-b:
The $m_{WW}$ distributions in data and simulation for events in the sideband control regions of the $\ell \nu $2$q$ boosted (left) and resolved (right) production categories. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 5-c:
The $m_{WW}$ distributions in data and simulation for events in the sideband control regions of the $\ell \nu $2$q$ boosted (left) and resolved (right) production categories. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 5-d:
The $m_{WW}$ distributions in data and simulation for events in the sideband control regions of the $\ell \nu $2$q$ boosted (left) and resolved (right) production categories. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 5-e:
The $m_{WW}$ distributions in data and simulation for events in the sideband control regions of the $\ell \nu $2$q$ boosted (left) and resolved (right) production categories. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

png pdf
Figure 5-f:
The $m_{WW}$ distributions in data and simulation for events in the sideband control regions of the $\ell \nu $2$q$ boosted (left) and resolved (right) production categories. Electron and muon channels are combined. The points represent the data and the stacked histograms the expected backgrounds. The shaded area shows the combined statistical and systematic uncertainties on the background estimation. Lower panels show the ratio of data to the expected background.

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 $f_{\text{VBF}}$ (top left) and floating $f_{\text{VBF}}$ (top right) cases the red line represents the sum of the SM cross sections for ggF and VBF production, while for the $f_{\text{VBF}}=0$ (bottom left) and the $f_{\text{VBF}}=1$ (bottom 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 $ \pm 1 \sigma $ and $ \pm 2 \sigma $ 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 $f_{\text{VBF}}$ (top left) and floating $f_{\text{VBF}}$ (top right) cases the red line represents the sum of the SM cross sections for ggF and VBF production, while for the $f_{\text{VBF}}=0$ (bottom left) and the $f_{\text{VBF}}=1$ (bottom 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 $ \pm 1 \sigma $ and $ \pm 2 \sigma $ 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 $f_{\text{VBF}}$ (top left) and floating $f_{\text{VBF}}$ (top right) cases the red line represents the sum of the SM cross sections for ggF and VBF production, while for the $f_{\text{VBF}}=0$ (bottom left) and the $f_{\text{VBF}}=1$ (bottom 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 $ \pm 1 \sigma $ and $ \pm 2 \sigma $ 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 $f_{\text{VBF}}$ (top left) and floating $f_{\text{VBF}}$ (top right) cases the red line represents the sum of the SM cross sections for ggF and VBF production, while for the $f_{\text{VBF}}=0$ (bottom left) and the $f_{\text{VBF}}=1$ (bottom 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 $ \pm 1 \sigma $ and $ \pm 2 \sigma $ 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 $f_{\text{VBF}}$ (top left) and floating $f_{\text{VBF}}$ (top right) cases the red line represents the sum of the SM cross sections for ggF and VBF production, while for the $f_{\text{VBF}}=0$ (bottom left) and the $f_{\text{VBF}}=1$ (bottom 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 $ \pm 1 \sigma $ and $ \pm 2 \sigma $ 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-1 (left) and type-2 (right) 2HDM. 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. The dark and bright gray bands indicate the $ \pm 1 \sigma $ and $ \pm 2 \sigma $ uncertainties on the expected limit. The observed exclusion contour is indicated by the colored 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-1 (left) and type-2 (right) 2HDM. 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. The dark and bright gray bands indicate the $ \pm 1 \sigma $ and $ \pm 2 \sigma $ uncertainties on the expected limit. The observed exclusion contour is indicated by the colored 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-1 (left) and type-2 (right) 2HDM. 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. The dark and bright gray bands indicate the $ \pm 1 \sigma $ and $ \pm 2 \sigma $ uncertainties on the expected limit. The observed exclusion contour is indicated by the colored 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 $m_h^{mod+}$ (left) and hMSSM (right) scenarios. The expected limit is shown as a dashed black line. The dark and bright gray bands indicate the $ \pm 1 \sigma $ and $ \pm 2 \sigma $ uncertainties on the expected limit. The observed exclusion contour is indicated by the colored 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 $m_h^{mod+}$ (left) and hMSSM (right) scenarios. The expected limit is shown as a dashed black line. The dark and bright gray bands indicate the $ \pm 1 \sigma $ and $ \pm 2 \sigma $ uncertainties on the expected limit. The observed exclusion contour is indicated by the colored 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 $m_h^{mod+}$ (left) and hMSSM (right) scenarios. The expected limit is shown as a dashed black line. The dark and bright gray bands indicate the $ \pm 1 \sigma $ and $ \pm 2 \sigma $ uncertainties on the expected limit. The observed exclusion contour is indicated by the colored blue area.
Tables

png pdf
Table 1:
Summary of systematic uncertainties, quoted in percent, affecting the normalization of background and signal samples. The numbers shown as ranges represent the uncertainties for different processes and categories. A dash (--) represents uncertainties either estimated to be negligible($ < $0.1%), or not applicable in the specific analysis category.
Summary
A search for a heavy Higgs boson decaying to a pair of W bosons in the mass range from 200 GeV to 3 TeV has been presented. The data analysed were collected by the CMS experiment at the CERN LHC in 2016, corresponding to an integrated luminosity of 35.9 fb$^{-1}$ at $\sqrt{s}=$ 13 TeV. Two final states of the W boson pair decay, $\ell \nu \ell ' \nu '$ and $\ell \nu \mathrm{q\bar{q}}$, and two signal production mechanisms, gluon fusion and vector boson fusion, are considered. Combined upper limits at the 95% confidence level on the product of the cross section and branching fraction have excluded a heavy Higgs boson with Standard Model-like couplings and decays in the mass range evaluated. Exclusion limits have also been set in the context of two Higgs doublet models. For the $m_h^{mod+}$ and hMSSM scenarios the regions at low values of $m_{\mathrm{A}}$ and $\tan\beta$ have been excluded.
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 PLB716 (2012) 1--29 1207.7214
2 CMS Collaboration Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC PLB716 (2012) 30--61 CMS-HIG-12-028
1207.7235
3 CMS Collaboration Study of the Mass and Spin-Parity of the Higgs Boson Candidate Via Its Decays to Z Boson Pairs PRL 110 (2013), no. 8, 081803 CMS-HIG-12-041
1212.6639
4 CMS Collaboration Measurement of the properties of a Higgs boson in the four-lepton final state PRD89 (2014), no. 9, 092007 CMS-HIG-13-002
1312.5353
5 CMS Collaboration Constraints on the spin-parity and anomalous HVV couplings of the Higgs boson in proton collisions at 7 and 8 TeV PRD92 (2015), no. 1, 012004 CMS-HIG-14-018
1411.3441
6 ATLAS Collaboration Evidence for the spin-0 nature of the Higgs boson using ATLAS data PLB726 (2013) 120--144 1307.1432
7 ATLAS Collaboration Study of the spin and parity of the Higgs boson in diboson decays with the ATLAS detector EPJC75 (2015), no. 10, 476 1506.05669
8 C. Englert et al. Precision Measurements of Higgs Couplings: Implications for New Physics Scales JPG41 (2014) 113001 1403.7191
9 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
10 V. Barger et al. LHC Phenomenology of an Extended Standard Model with a Real Scalar Singlet PRD77 (2008) 035005 0706.4311
11 G. C. Branco et al. Theory and phenomenology of two-Higgs-doublet models PR 516 (2012) 1--102 1106.0034
12 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
13 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 EPJC76 (2016), no. 1, 45 1507.05930
14 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 EPJC78 (2018), no. 1, 24 1710.01123
15 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
16 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
17 A. Denner et al. Standard Model Higgs-Boson Branching Ratios with Uncertainties EPJC71 (2011) 1753 1107.5909
18 S. P. Martin A Supersymmetry primer , [Adv. Ser. Direct. High Energy Phys.18,1(1998)] hep-ph/9709356
19 J. E. Kim Light Pseudoscalars, Particle Physics and Cosmology PR 150 (1987) 1--177
20 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
21 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004 CMS-00-001
22 CMS Collaboration The CMS trigger system JINST 12 (2017), no. 01, P01020 CMS-TRG-12-001
1609.02366
23 P. Nason A New method for combining NLO QCD with shower Monte Carlo algorithms JHEP 11 (2004) 040 hep-ph/0409146
24 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with Parton Shower simulations: the POWHEG method JHEP 11 (2007) 070 0709.2092
25 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
26 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
27 P. Nason and C. Oleari NLO Higgs boson production via vector-boson fusion matched with shower in POWHEG JHEP 02 (2010) 037 0911.5299
28 A. V. G. \it et. al.. S. Bolognesi, Y. Gao
29 LHC Higgs Cross Section Working Group Collaboration Handbook of LHC Higgs Cross Sections: 4. Deciphering the Nature of the Higgs Sector 1610.07922
30 LHC Higgs Cross Section Working Group Collaboration SM Higgs production cross sections at $\sqrts$ = 13-14 TeV ``SM Higgs production cross sections at $\sqrts$ = 13-14 TeV''
31 LHC Higgs Cross Section Working Group Collaboration Handbook of LHC Higgs Cross Sections: 3. Higgs Properties 1307.1347
32 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
33 R. Frederix and S. Frixione Merging meets matching in MC@NLO JHEP 12 (2012) 061 1209.6215
34 R. Gavin, Y. Li, F. Petriello, and S. Quackenbush FEWZ 2.0: A code for hadronic Z production at next-to-next-to-leading order CPC 182 (2011) 2388--2403 1011.3540
35 E. Re Single-top Wt-channel production matched with parton showers using the POWHEG method EPJC71 (2011) 1547 1009.2450
36 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
37 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--89 1406.4403
38 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
39 T. Melia, P. Nason, R. Rontsch, and G. Zanderighi W+W-, WZ and ZZ production in the POWHEG BOX JHEP 11 (2011) 078 1107.5051
40 J. M. Campbell, R. K. Ellis, and C. Williams Bounding the Higgs width at the LHC: Complementary results from $ H \to WW $ PRD89 (2014), no. 5, 053011 1312.1628
41 T. Gehrmann et al. $ W^+W^- $ Production at Hadron Colliders in Next to Next to Leading Order QCD PRL 113 (2014), no. 21, 212001 1408.5243
42 F. Caola, K. Melnikov, R. Rotsch, and L. Tancredi QCD corrections to $ W^{+}W^{-} $ production through gluon fusion PLB754 (2016) 275--280 1511.08617
43 P. Meade, H. Ramani, and M. Zeng Transverse momentum resummation effects in $ W^+W^- $ measurements PRD90 (2014), no. 11, 114006 1407.4481
44 P. Jaiswal and T. Okui Explanation of the $ WW $ excess at the LHC by jet-veto resummation PRD90 (2014), no. 7, 073009 1407.4537
45 T. Sjostrand, S. Mrenna, and P. Z. Skands A Brief Introduction to PYTHIA 8.1 CPC 178 (2008) 852--867 0710.3820
46 NNPDF Collaboration Parton distributions with QED corrections NPB877 (2013) 290--320 1308.0598
47 NNPDF Collaboration Unbiased global determination of parton distributions and their uncertainties at NNLO and at LO NPB855 (2012) 153--221 1107.2652
48 CMS Collaboration Event generator tunes obtained from underlying event and multiparton scattering measurements CMS-GEN-14-001
1512.00815
49 P. Richardson and A. Wilcock Monte Carlo Simulation of Hard Radiation in Decays in Beyond the Standard Model Physics in Herwig++ EPJC74 (2014) 2713 1303.4563
50 J. Bellm et al. Herwig++ 2.7 Release Note 1310.6877
51 GEANT4 Collaboration $ GEANT $4---a simulation toolkit NIMA 506 (2003) 250
52 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017), no. 10, P10003 CMS-PRF-14-001
1706.04965
53 CMS Collaboration Performance of CMS muon reconstruction in $ pp $ collision events at $ \sqrt{s}= $ 7 TeV JINST 7 (2012) P10002 CMS-MUO-10-004
1206.4071
54 CMS Collaboration Performance of Electron Reconstruction and Selection with the CMS Detector in Proton Proton Collisions at $ \sqrt{s}= $ 8 TeV JINST 10 (2015), no. 06, P06005 CMS-EGM-13-001
1502.02701
55 M. Cacciari and G. P. Salam Pileup subtraction using jet areas PLB659 (2008) 119--126 0707.1378
56 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ k_t $ jet clustering algorithm JHEP 04 (2008) 063 0802.1189
57 M. Cacciari, G. P. Salam, and G. Soyez FastJet user manual EPJC 72 (2012) 1896 1111.6097
58 CMS Collaboration Determination of jet energy calibration and transverse momentum resolution in CMS JINST 6 (2011) P11002 CMS-JME-10-011
1107.4277
59 M. Dasgupta, A. Fregoso, S. Marzani, and G. P. Salam Towards an understanding of jet substructure JHEP 09 (2013) 029 1307.0007
60 D. Bertolini, P. Harris, M. Low, and N. Tran Pileup per particle identification JHEP 10 (2014) 059 1407.6013
61 J. Thaler and K. Van Tilburg Identifying boosted objects with N-subjettiness JHEP 03 (2011) 015 1011.2268
62 CMS Collaboration Collaboration Performance of heavy flavour identification algorithms in proton-proton collisions at 13 TeV at the CMS experiment
63 CMS Collaboration Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV JINST 13 (2018), no. 05, P05011 CMS-BTV-16-002
1712.07158
64 CMS Collaboration Identification of b-quark jets with the CMS experiment JINST 8 (2013) P04013 CMS-BTV-12-001
1211.4462
65 N. Kauer and C. O'Brien Heavy Higgs signal background interference in $ gg\rightarrow VV $ in the Standard Model plus real singlet EPJC75 (2015) 374 1502.04113
66 Y. Gao et al. Spin determination of single-produced resonances at hadron colliders PRD81 (2010) 075022 1001.3396
67 I. Anderson et al. Constraining anomalous $ hvv $ interactions at proton and lepton colliders PRD 89 (Feb, 2014) 035007
68 P. Fayet Supergauge Invariant Extension of the Higgs Mechanism and a Model for the electron and Its Neutrino NPB90 (1975) 104--124
69 P. Fayet Spontaneously Broken Supersymmetric Theories of Weak, Electromagnetic and Strong Interactions PL69B (1977) 489
70 M. Carena et al. MSSM Higgs Boson Searches at the LHC: Benchmark Scenarios after the Discovery of a Higgs-like Particle EPJC73 (2013), no. 9 1302.7033
71 LHC Higgs Cross Section Working Group Collaboration
72 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--1617 1212.3249
73 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--89 hep-ph/9812320
74 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 EPJC9 (1999) 343--366 hep-ph/9812472
75 G. Degrassi et al. Towards high precision predictions for the MSSM Higgs sector EPJC28 (2003) 133--143 hep-ph/0212020
76 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
77 T. Hahn et al. High-Precision Predictions for the Light CP -Even Higgs Boson Mass of the Minimal Supersymmetric Standard Model PRL 112 (2014), no. 14, 141801 1312.4937
78 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--74 hep-ph/9704448
79 A. Djouadi, M. M. Muhlleitner, and M. Spira Decays of supersymmetric particles: The Program SUSY-HIT (SUspect-SdecaY-Hdecay-InTerface) Acta Phys. Polon. B38 (2007) 635--644 hep-ph/0609292
80 J. Rathsman and O. Stal 2HDMC - A Two Higgs Doublet Model Calculator PoS CHARGED2010 (2010) 034 1104.5563
81 LHC Higgs Cross Section Working Group Collaboration
82 LHC Higgs Cross Section Working Group Collaboration
83 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
84 CMS Collaboration Identification of b-quark jets with the CMS experiment JINST 8 (2013) P04013 CMS-BTV-12-001
1211.4462
85 CMS Collaboration Identification techniques for highly boosted W bosons that decay into hadrons JHEP 12 (2014) 017 CMS-JME-13-006
1410.4227
86 T. Junk Confidence level computation for combining searches with small statistics NIMA 434 (1999) 435
87 A. L. Read Presentation of search results: the $ cl_s $ technique JPG 28 (2002) 2693
88 G. Cowan, K. Cranmer, E. Gross, and O. Vitells Asymptotic formulae for likelihood-based tests of new physics EPJC71 (2011) 1554 1007.1727
89 J. Butterworth et al. PDF4LHC recommendations for LHC Run II JPG43 (2016) 023001 1510.03865
90 M. Cacciari et al. The t anti-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
91 R. Boughezal et al. Combining Resummed Higgs Predictions Across Jet Bins PRD89 (2014), no. 7, 074044 1312.4535
92 CMS Collaboration Collaboration Measurement of the WW cross section pp collisions at sqrt(s)=13 TeV CMS-PAS-SMP-16-006, CERN, Geneva
93 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 CMS-SMP-18-002
1901.03428
94 CMS Collaboration Measurement of differential cross sections for Z boson production in association with jets in proton-proton collisions at $ \sqrt{s} = $ 13 TeV EPJC78 (2018), no. 11, 965 CMS-SMP-16-015
1804.05252
95 CMS Collaboration Collaboration Summary results of high mass BSM Higgs searches using CMS run-I data CMS-PAS-HIG-16-007, CERN, Geneva
96 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