CMS-PAS-HIG-17-033 | ||
Search for a heavy Higgs boson decaying to a pair of W bosons in proton-proton collisions at √s= 13 TeV | ||
CMS Collaboration | ||
March 2019 | ||
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 √s= 13 TeV. The decay of the W boson pair is reconstructed in the ℓνℓ′ν′ and ℓνqˉq 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. | ||
Links:
CDS record (PDF) ;
CADI line (restricted) ;
These preliminary results are superseded in this paper, JHEP 03 (2020) 034. The superseded preliminary plots can be found here. |
Figures | |
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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→WW continuum and the SM Higgs are shown in blue and red respectively. The total interference effect is shown in green. |
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Figure 2:
The mIT distributions in data and simulation for events in the different flavour (top and middle) and same flavour (bottom) categories of the 2ℓ2ν 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. |
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Figure 2-a:
The mIT distributions in data and simulation for events in the different flavour (top and middle) and same flavour (bottom) categories of the 2ℓ2ν 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. |
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Figure 2-b:
The mIT distributions in data and simulation for events in the different flavour (top and middle) and same flavour (bottom) categories of the 2ℓ2ν 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. |
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Figure 2-c:
The mIT distributions in data and simulation for events in the different flavour (top and middle) and same flavour (bottom) categories of the 2ℓ2ν 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. |
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Figure 2-d:
The mIT distributions in data and simulation for events in the different flavour (top and middle) and same flavour (bottom) categories of the 2ℓ2ν 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. |
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Figure 2-e:
The mIT distributions in data and simulation for events in the different flavour (top and middle) and same flavour (bottom) categories of the 2ℓ2ν 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. |
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Figure 2-f:
The mIT distributions in data and simulation for events in the different flavour (top and middle) and same flavour (bottom) categories of the 2ℓ2ν 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. |
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Figure 3:
The mWW distributions in data and simulation for events in the boosted (left) and resolved (right) production categories of the ℓν2q 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. |
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Figure 3-a:
The mWW distributions in data and simulation for events in the boosted (left) and resolved (right) production categories of the ℓν2q 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. |
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Figure 3-b:
The mWW distributions in data and simulation for events in the boosted (left) and resolved (right) production categories of the ℓν2q 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. |
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Figure 3-c:
The mWW distributions in data and simulation for events in the boosted (left) and resolved (right) production categories of the ℓν2q 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. |
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Figure 3-d:
The mWW distributions in data and simulation for events in the boosted (left) and resolved (right) production categories of the ℓν2q 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. |
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Figure 3-e:
The mWW distributions in data and simulation for events in the boosted (left) and resolved (right) production categories of the ℓν2q 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. |
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Figure 3-f:
The mWW distributions in data and simulation for events in the boosted (left) and resolved (right) production categories of the ℓν2q 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. |
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Figure 4:
The mIT distributions in data and simulation for events in the top control regions of the 2ℓ2ν different flavour categories (top and middle) and the DY control regions of the 2ℓ2ν 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. |
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Figure 4-a:
The mIT distributions in data and simulation for events in the top control regions of the 2ℓ2ν different flavour categories (top and middle) and the DY control regions of the 2ℓ2ν 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. |
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Figure 4-b:
The mIT distributions in data and simulation for events in the top control regions of the 2ℓ2ν different flavour categories (top and middle) and the DY control regions of the 2ℓ2ν 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. |
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Figure 4-c:
The mIT distributions in data and simulation for events in the top control regions of the 2ℓ2ν different flavour categories (top and middle) and the DY control regions of the 2ℓ2ν 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. |
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Figure 4-d:
The mIT distributions in data and simulation for events in the top control regions of the 2ℓ2ν different flavour categories (top and middle) and the DY control regions of the 2ℓ2ν 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. |
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Figure 4-e:
The mIT distributions in data and simulation for events in the top control regions of the 2ℓ2ν different flavour categories (top and middle) and the DY control regions of the 2ℓ2ν 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. |
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Figure 4-f:
The mIT distributions in data and simulation for events in the top control regions of the 2ℓ2ν different flavour categories (top and middle) and the DY control regions of the 2ℓ2ν 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. |
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Figure 5:
The mWW distributions in data and simulation for events in the sideband control regions of the ℓν2q 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. |
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Figure 5-a:
The mWW distributions in data and simulation for events in the sideband control regions of the ℓν2q 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. |
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Figure 5-b:
The mWW distributions in data and simulation for events in the sideband control regions of the ℓν2q 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. |
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Figure 5-c:
The mWW distributions in data and simulation for events in the sideband control regions of the ℓν2q 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. |
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Figure 5-d:
The mWW distributions in data and simulation for events in the sideband control regions of the ℓν2q 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. |
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Figure 5-e:
The mWW distributions in data and simulation for events in the sideband control regions of the ℓν2q 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. |
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Figure 5-f:
The mWW distributions in data and simulation for events in the sideband control regions of the ℓν2q 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. |
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Figure 6:
Expected and observed exclusion limits at 95% CL on the X cross section times branching fraction to WW for a number of fVBF hypotheses. For the SM fVBF (top left) and floating fVBF (top right) cases the red line represents the sum of the SM cross sections for ggF and VBF production, while for the fVBF=0 (bottom left) and the fVBF=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 ±1σ and ±2σ uncertainties respectively. |
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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 fVBF hypotheses. For the SM fVBF (top left) and floating fVBF (top right) cases the red line represents the sum of the SM cross sections for ggF and VBF production, while for the fVBF=0 (bottom left) and the fVBF=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 ±1σ and ±2σ uncertainties respectively. |
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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 fVBF hypotheses. For the SM fVBF (top left) and floating fVBF (top right) cases the red line represents the sum of the SM cross sections for ggF and VBF production, while for the fVBF=0 (bottom left) and the fVBF=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 ±1σ and ±2σ uncertainties respectively. |
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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 fVBF hypotheses. For the SM fVBF (top left) and floating fVBF (top right) cases the red line represents the sum of the SM cross sections for ggF and VBF production, while for the fVBF=0 (bottom left) and the fVBF=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 ±1σ and ±2σ uncertainties respectively. |
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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 fVBF hypotheses. For the SM fVBF (top left) and floating fVBF (top right) cases the red line represents the sum of the SM cross sections for ggF and VBF production, while for the fVBF=0 (bottom left) and the fVBF=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 ±1σ and ±2σ uncertainties respectively. |
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Figure 7:
Expected and observed 95% CL upper limits on tanβ as a function of mH for a type-1 (left) and type-2 (right) 2HDM. It is assumed that mH=mA and cos(β−α)=0.1. The expected limit is shown as a dashed black line. The dark and bright gray bands indicate the ±1σ and ±2σ uncertainties on the expected limit. The observed exclusion contour is indicated by the colored blue area. |
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Figure 7-a:
Expected and observed 95% CL upper limits on tanβ as a function of mH for a type-1 (left) and type-2 (right) 2HDM. It is assumed that mH=mA and cos(β−α)=0.1. The expected limit is shown as a dashed black line. The dark and bright gray bands indicate the ±1σ and ±2σ uncertainties on the expected limit. The observed exclusion contour is indicated by the colored blue area. |
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Figure 7-b:
Expected and observed 95% CL upper limits on tanβ as a function of mH for a type-1 (left) and type-2 (right) 2HDM. It is assumed that mH=mA and cos(β−α)=0.1. The expected limit is shown as a dashed black line. The dark and bright gray bands indicate the ±1σ and ±2σ uncertainties on the expected limit. The observed exclusion contour is indicated by the colored blue area. |
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Figure 8:
Expected and observed 95% CL upper limits on tanβ as a function of mA for the mmod+h (left) and hMSSM (right) scenarios. The expected limit is shown as a dashed black line. The dark and bright gray bands indicate the ±1σ and ±2σ uncertainties on the expected limit. The observed exclusion contour is indicated by the colored blue area. |
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Figure 8-a:
Expected and observed 95% CL upper limits on tanβ as a function of mA for the mmod+h (left) and hMSSM (right) scenarios. The expected limit is shown as a dashed black line. The dark and bright gray bands indicate the ±1σ and ±2σ uncertainties on the expected limit. The observed exclusion contour is indicated by the colored blue area. |
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Figure 8-b:
Expected and observed 95% CL upper limits on tanβ as a function of mA for the mmod+h (left) and hMSSM (right) scenarios. The expected limit is shown as a dashed black line. The dark and bright gray bands indicate the ±1σ and ±2σ uncertainties on the expected limit. The observed exclusion contour is indicated by the colored blue area. |
Tables | |
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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 √s= 13 TeV. Two final states of the W boson pair decay, ℓνℓ′ν′ and ℓνqˉq, 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 mmod+h and hMSSM scenarios the regions at low values of mA and tanβ 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 √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→ZZ decay channel at √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 eνμν final state in pp collisions at √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 √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→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 | GEANT4---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 √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 √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-kt 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→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 √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 cls 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→WZ inclusive and differential production cross section and constraints on charged anomalous triple gauge couplings at √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 √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 ττ final state in proton-proton collisions at √s= 13 TeV | JHEP 09 (2018) 007 | CMS-HIG-17-020 1803.06553 |
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Compact Muon Solenoid LHC, CERN |
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