CMS-HIG-18-002 ; CERN-EP-2018-329 | ||
Measurements of the Higgs boson width and anomalous HVV couplings from on-shell and off-shell production in the four-lepton final state | ||
CMS Collaboration | ||
1 January 2019 | ||
Phys. Rev. D 99 (2019) 112003 | ||
Abstract: Studies of on-shell and off-shell Higgs boson production in the four-lepton final state are presented, using data from the CMS experiment at the LHC that correspond to an integrated luminosity of 80.2 fb−1 at a center-of-mass energy of 13 TeV. Joint constraints are set on the Higgs boson total width and parameters that express its anomalous couplings to two electroweak vector bosons. These results are combined with those obtained from the data collected at center-of-mass energies of 7 and 8 TeV, corresponding to integrated luminosities of 5.1 and 19.7 fb−1, respectively. Kinematic information from the decay particles and the associated jets are combined using matrix element techniques to identify the production mechanism and to increase sensitivity to the Higgs boson couplings in both production and decay. The constraints on anomalous HVV couplings are found to be consistent with the standard model expectation in both the on-shell and off-shell regions. Under the assumption of a coupling structure similar to that in the standard model, the Higgs boson width is constrained to be 3.2+2.8−2.2 MeV while the expected constraint based on simulation is 4.1+5.0−4.0 MeV. The constraints on the width remain similar with the inclusion of the tested anomalous HVV interactions. | ||
Links: e-print arXiv:1901.00174 [hep-ex] (PDF) ; CDS record ; inSPIRE record ; CADI line (restricted) ; |
Figures & Tables | Summary | Additional Figures | References | CMS Publications |
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Figures | |
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Figure 1:
Three topologies of the H boson production and decay: vector boson fusion qq→VV(qq)→H(qq)→VV(qq) (left); associated production qq→V→VH→(f¯f) H→(f¯f) VV (middle); and gluon fusion gg→H→VV→4ℓ (right) representing the topology without associated particles. The incoming particles are shown in brown, the intermediate vector bosons and their fermion daughters are shown in green, the H boson and its vector boson daughters are shown in red, and angles are shown in blue. In the first two cases the production and decay H→VV are followed by the same four-lepton decay shown in the third case. The angles are defined in either the H or V boson rest frames [47,54]. |
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Figure 1-a:
Vector boson fusion qq→VV(qq)→H(qq)→VV(qq), representing the topology without associated particles. The incoming particles are shown in brown, the intermediate vector bosons and their fermion daughters are shown in green, the H boson and its vector boson daughters are shown in red, and angles are shown in blue. In the first two cases the production and decay H→VV are followed by the same four-lepton decay. The angles are defined in either the H or V boson rest frames [47,54]. |
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Figure 1-b:
Associated production qq→V→VH→(f¯f) H→(f¯f) VV, representing the topology without associated particles. The incoming particles are shown in brown, the intermediate vector bosons and their fermion daughters are shown in green, the H boson and its vector boson daughters are shown in red, and angles are shown in blue. In the first two cases the production and decay H→VV are followed by the same four-lepton decay. The angles are defined in either the H or V boson rest frames [47,54]. |
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Figure 1-c:
Gluon fusion gg→H→VV→4ℓ, representing the topology without associated particles. The incoming particles are shown in brown, the intermediate vector bosons and their fermion daughters are shown in green, the H boson and its vector boson daughters are shown in red, and angles are shown in blue. In the first two cases the production and decay H→VV are followed by the same four-lepton decay, as shown. The angles are defined in either the H or V boson rest frames [47,54]. |
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Figure 2:
The distributions of events for max(DVBF2jet,DVBF,0−2jet) (left) and max(DWH2jet,DWH,0−2jet,DZH2jet,DZH,0−2jet) (right) in the on-shell region in the data from 2016 and 2017 from the analysis of the a3 coupling for a pseudoscalar contribution. The requirement Dbkg> 0.5 is applied in order to enhance the signal contribution over the background. The VBF signal under both the SM and pseudoscalar hypotheses is enhanced in the region above 0.5 for the former variable, and the WH and ZH signals are similarly enhanced in the region above 0.5 for the latter variable. |
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Figure 2-a:
The distribution of events for max(DVBF2jet,DVBF,0−2jet) in the on-shell region in the data from 2016 and 2017 from the analysis of the a3 coupling for a pseudoscalar contribution. The requirement Dbkg> 0.5 is applied in order to enhance the signal contribution over the background. The VBF signal under both the SM and pseudoscalar hypotheses is enhanced in the region above 0.5 for the former variable, and the WH and ZH signals are similarly enhanced in the region above 0.5 for the latter variable. |
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Figure 2-b:
The distribution of events for max(DWH2jet,DWH,0−2jet,DZH2jet,DZH,0−2jet) in the on-shell region in the data from 2016 and 2017 from the analysis of the a3 coupling for a pseudoscalar contribution. The requirement Dbkg> 0.5 is applied in order to enhance the signal contribution over the background. The VBF signal under both the SM and pseudoscalar hypotheses is enhanced in the region above 0.5 for the former variable, and the WH and ZH signals are similarly enhanced in the region above 0.5 for the latter variable. |
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Figure 3:
The distributions of events in the on-shell region in the data from 2016 and 2017. The top row shows Dbkg in the VBF-tagged (left), VH-tagged (middle), and untagged (right) categories of the analysis of the a3 coupling for a pseudoscalar contribution. The rest of the distributions are shown with the requirement Dbkg> 0.5 in order to enhance signal over background contributions. The middle row shows D0− in the corresponding three categories. The bottom row shows DdecCP of the a3, Ddec0h+ of the a2, and DdecΛ1 of the Λ1 analyses in the untagged categories. |
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Figure 3-a:
Distribution of Dbkg in the VBF-tagged category of the a3 analysis for events events in the on-shell region in the data from 2016 and 2017. |
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Figure 3-b:
Distribution of Dbkg in the VH-tagged category of the a3 analysis for events events in the on-shell region in the data from 2016 and 2017. |
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Figure 3-c:
Distribution of Dbkg in the untagged category of the a3 analysis for events events in the on-shell region in the data from 2016 and 2017. |
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Figure 3-d:
Distribution of D0− in the VBF-tagged category of the a3 analysis for events events in the on-shell region in the data from 2016 and 2017. The distribution is shown with the requirement Dbkg> 0.5 in order to enhance signal over background contributions. |
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Figure 3-e:
Distribution of D0− in the VH-tagged category of the a3 analysis for events events in the on-shell region in the data from 2016 and 2017. The distribution is shown with the requirement Dbkg> 0.5 in order to enhance signal over background contributions. |
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Figure 3-f:
Distribution of D0− in the untagged category of the a3 analysis for events events in the on-shell region in the data from 2016 and 2017. The distribution is shown with the requirement Dbkg> 0.5 in order to enhance signal over background contributions. |
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Figure 3-g:
Distribution of DdecCP of the a3 analysis in the untagged category, for events events in the on-shell region in the data from 2016 and 2017. The distribution is shown with the requirement Dbkg> 0.5 in order to enhance signal over background contributions. |
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Figure 3-h:
Distribution of Ddec0h+ of the a2 analysis in the untagged category, for events events in the on-shell region in the data from 2016 and 2017. The distribution is shown with the requirement Dbkg> 0.5 in order to enhance signal over background contributions. |
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Figure 3-i:
Distribution of DdecΛ1 of the Λ1 analysis in the untagged category, for events events in the on-shell region in the data from 2016 and 2017. The distribution is shown with the requirement Dbkg> 0.5 in order to enhance signal over background contributions. |
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Figure 4:
The distributions of events in the off-shell region in the data from 2016 and 2017. The top row shows m4ℓ in the VBF-tagged (left), VH-tagged (middle), and untagged (right) categories in the dedicated SM-like width analysis where a requirement on DVBF+decbkg, DVH+decbkg, or Dkinbkg> 0.6 is applied in order to enhance signal over background contributions. The middle row shows DVBF+decbkg (left), DVH+decbkg (middle), Dkinbkg (right) of the a3 analysis in the corresponding three categories. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. The bottom row shows Dbsi in the corresponding three categories in the dedicated SM-like width analysis with both of the m4ℓ and Dkinbkg requirements enhancing the signal contribution. The acronym s+b+i designates the sum of the signal (s), background (b), and their interference contributions (i). |
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Figure 4-a:
The distribution of m4ℓ for events in the off-shell region in the data from 2016 and 2017, in the VBF-tagged category. The distribution is obtained in the dedicated SM-like width analysis where a requirement on DVBF+decbkg> 0.6 is applied in order to enhance signal over background contributions. |
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Figure 4-b:
The distribution of m4ℓ for events in the off-shell region in the data from 2016 and 2017, in the VH-tagged category. The distribution is obtained in the dedicated SM-like width analysis where a requirement on DVH+decbkg> 0.6 is applied in order to enhance signal over background contributions. |
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Figure 4-c:
The distribution of m4ℓ for events in the off-shell region in the data from 2016 and 2017, in the untagged category. The distribution is obtained in the dedicated SM-like width analysis where a requirement on Dbkg> 0.6 is applied in order to enhance signal over background contributions. |
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Figure 4-d:
The distribution of DVBF+decbkg of the a3 analysis, for events in the off-shell region in the data from 2016 and 2017, in the VBF-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. |
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Figure 4-e:
The distribution of DVH+decbkg of the a3 analysis, for events in the off-shell region in the data from 2016 and 2017, in the VH-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. |
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Figure 4-f:
The distribution of Dkinbkg of the a3 analysis, for events in the off-shell region in the data from 2016 and 2017, in the untagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. |
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Figure 4-g:
The distribution of Dbsi for events in the off-shell region in the data from 2016 and 2017, in the VBF-tagged category. The distribution is obtained in the dedicated SM-like width analysis where a requirement on DVBF+decbkg> 0.6, and the requirement m4ℓ> 340 GeV, are applied in order to enhance signal over background contributions. |
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Figure 4-h:
The distribution of Dbsi for events in the off-shell region in the data from 2016 and 2017, in the VH-tagged category. The distribution is obtained in the dedicated SM-like width analysis where a requirement on DVH+decbkg> 0.6, and the requirement m4ℓ> 340 GeV, are applied in order to enhance signal over background contributions. |
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Figure 4-i:
The distribution of Dbsi for events in the off-shell region in the data from 2016 and 2017, in the untagged category. The distribution is obtained in the dedicated SM-like width analysis where a requirement on Dbkg> 0.6, and the requirement m4ℓ> 340 GeV, are applied in order to enhance signal over background contributions. |
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Figure 5:
Observed (solid) and expected (dashed) likelihood scans of fa3cos(ϕa3) (top left), fa2cos(ϕa2) (top right), fΛ1cos(ϕΛ1) (bottom left), and fΛ1Zγcos(ϕΛ1Zγ) (bottom right) using on-shell events only. Results of analysis of the data from 2016 and 2017 only (black) and the combined Run 1 and Run 2 analysis (red) are shown. The dashed horizontal lines show the 68 and 95% CL regions. |
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Figure 5-a:
Observed (solid) and expected (dashed) likelihood scans of fa2cos(ϕa2), using on-shell events only. Results of analysis of the data from 2016 and 2017 only (black) and the combined Run 1 and Run 2 analysis (red) are shown. The dashed horizontal lines show the 68% and 95% CL regions. |
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Figure 5-b:
Observed (solid) and expected (dashed) likelihood scans of fa3cos(ϕa3), using on-shell events only. Results of analysis of the data from 2016 and 2017 only (black) and the combined Run 1 and Run 2 analysis (red) are shown. The dashed horizontal lines show the 68% and 95% CL regions. |
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Figure 5-c:
Observed (solid) and expected (dashed) likelihood scans of fΛ1cos(ϕΛ1), using on-shell events only. Results of analysis of the data from 2016 and 2017 only (black) and the combined Run 1 and Run 2 analysis (red) are shown. The dashed horizontal lines show the 68% and 95% CL regions. |
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Figure 5-d:
Observed (solid) and expected (dashed) likelihood scans of fΛ1Zγcos(ϕΛ1Zγ), using on-shell events only. Results of analysis of the data from 2016 and 2017 only (black) and the combined Run 1 and Run 2 analysis (red) are shown. The dashed horizontal lines show the 68% and 95% CL regions. |
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Figure 6:
Constraints on fa3cos(ϕa3) (top), fa2cos(ϕa2) (middle), and fΛ1cos(ϕΛ1) (bottom) from the combined Run 1 and Run 2 data set using both on-shell and off-shell events. Left plots: likelihood scans of the parameters of interest with unconstrained ΓH (red) or assuming ΓH=ΓSMH (blue). The dashed horizontal lines show the 68 and 95% CL regions. Right plots: observed two-parameter (ΓH, faicos(ϕai)) likelihood scans. The two-parameter 68 and 95% CL regions are indicated with the dashed and solid curves, respectively. |
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Figure 6-a:
Constraints on fa3cos(ϕa3) from the combined Run 1 and Run 2 data set using both on-shell and off-shell events: Likelihood scans of the parameters of interest with unconstrained ΓH (red) or assuming ΓH=ΓSMH (blue). The dashed horizontal lines show the 68 and 95% CL regions. |
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Figure 6-b:
Constraints on fa3cos(ϕa3) from the combined Run 1 and Run 2 data set using both on-shell and off-shell events: Observed two-parameter (ΓH,faicos(ϕai)) likelihood scans. The two-parameter 68 and 95% CL regions are indicated with the dashed and solid curves, respectively. |
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Figure 6-c:
Constraints on fa2cos(ϕa2) from the combined Run 1 and Run 2 data set using both on-shell and off-shell events: Likelihood scans of the parameters of interest with unconstrained ΓH (red) or assuming ΓH=ΓSMH (blue). The dashed horizontal lines show the 68 and 95% CL regions. |
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Figure 6-d:
Constraints on fa2cos(ϕa2) from the combined Run 1 and Run 2 data set using both on-shell and off-shell events: Observed two-parameter (ΓH,faicos(ϕai)) likelihood scans. The two-parameter 68 and 95% CL regions are indicated with the dashed and solid curves, respectively. |
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Figure 6-e:
Constraints on fΛ1cos(ϕΛ1) from the combined Run 1 and Run 2 data set using both on-shell and off-shell events: Likelihood scans of the parameters of interest with unconstrained ΓH (red) or assuming ΓH=ΓSMH (blue). The dashed horizontal lines show the 68 and 95% CL regions. |
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Figure 6-f:
Constraints on fΛ1cos(ϕΛ1) from the combined Run 1 and Run 2 data set using both on-shell and off-shell events: Observed two-parameter (ΓH,faicos(ϕai)) likelihood scans. The two-parameter 68 and 95% CL regions are indicated with the dashed and solid curves, respectively. |
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Figure 7:
Observed (solid) and expected (dashed) likelihood scans of ΓH. Left plot: results of the SM-like couplings analysis are shown using the data only from 2016 and 2017 (black) or from the combination of Run 1 and Run 2 (red), which do not include 2015 data. Right plot: results of the combined Run 1 and Run 2 data analyses, with 2015 data included in the on-shell case, for the SM-like couplings or with three unconstrained anomalous coupling parameters, fa3cos(ϕa3) (red), fa2cos(ϕa2) (blue), and fΛ1cos(ϕΛ1) (violet). The dashed horizontal lines show the 68% and 95% CL regions. |
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Figure 7-a:
Observed (solid) and expected (dashed) likelihood scans of ΓH: Results of the SM-like couplings analysis are shown using the data only from 2016 and 2017 (black) or from the combination of Run 1 and Run 2 (red), which do not include 2015 data. |
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Figure 7-b:
Observed (solid) and expected (dashed) likelihood scans of ΓH: Results of the combined Run 1 and Run 2 data analyses, with 2015 data included in the on-shell case, for the SM-like couplings or with three unconstrained anomalous coupling parameters, fa3cos(ϕa3) (red), fa2cos(ϕa2) (blue), and fΛ1cos(ϕΛ1) (violet). The dashed horizontal lines show the 68% and 95% CL regions. |
Tables | |
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Table 1:
List of the anomalous HVV couplings considered in the measurements assuming a spin-zero H boson. The definition of the effective fractions fai is discussed in the text and the translation constants are the cross-section ratios corresponding to the processes H→2e2μ with the H boson mass mH= 125 GeV and calculated using JHUGen [47,50,54]. |
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Table 2:
Summary of the three production categories in the on-shell m4ℓ region. The selection requirements on the D2jet discriminants are quoted for each category, and further requirements can be found in the text. Two or three observables (abbreviated as obs.) are listed for each analysis and for each category. All discriminants are calculated with the JHUGen signal matrix elements and mcfm background matrix elements. The discriminants Dbkg in the tagged categories also include probabilities using associated jets and decay in addition to the m4ℓ probability. The VH interference discriminants in the hadronic VH-tagged categories are defined as the simple average of the ones corresponding to the WH and ZH processes. |
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Table 3:
Summary of the three production categories in the off-shell m4ℓ region, listed in a similar manner, as in Table 2. All discriminants are calculated with the JHUGen or mcfm /JHUGen signal, and mcfm background matrix elements. The VH interference discriminant in the SM-like analysis hadronic VH-tagged category is defined as the simple average of the ones corresponding to the WH and ZH processes. |
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Table 4:
The numbers of events expected in the SM (or fa3= 1 in parentheses) for the different signal and background contributions and the total numbers of observed events are listed across the three a3 analysis categories in the on-shell region for the combined 2016 and 2017 data set. |
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Table 5:
The numbers of events expected in the SM-like analysis (or fa3= 0 in the a3 analysis categorization, divided with a vertical bar) for the different signal and background contributions and the total observed numbers of events are listed across the three SM | a3 analysis categories in the off-shell region for the combined 2016 and 2017 data set. The signal, background, and interference contributions are shown separately for the gluon fusion (gg) and EW processes (VV) under the ΓH=ΓSMH assumption. |
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Table 6:
Summary of allowed 68% CL (central values with uncertainties) and 95% CL (in square brackets) intervals for the anomalous coupling parameters faicos(ϕai) obtained from the analysis of the combination of Run 1 (only on-shell) and Run 2 (on-shell and off-shell) data sets. Three constraint scenarios are shown: using only on-shell events, using both on-shell and off-shell events with the ΓH left unconstrained, or with the constraint ΓH=ΓSMH. |
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Table 7:
Summary of the allowed 95% CL intervals for the anomalous HVV couplings using results in Table 7. The coupling ratios are assumed to be real and include the factor cos(ϕΛ1) or cos(ϕΛ1Zγ)=±1. |
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Table 8:
Summary of the total width ΓH measurement, showing the allowed 68% CL (central values with uncertainties) and 95% CL (in square brackets). The limits are reported for the SM-like couplings using the Run 1 and Run 2 combination. |
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Table 9:
Summary of the total width ΓH measurements, showing allowed 68% CL (central values with uncertainties) and 95% CL (in square brackets). The ΓH limits are reported for the anomalous coupling parameter of interest unconstrained using the Run 1 and Run 2 combination. |
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Table 10:
Summary of allowed 68% CL (central values with uncertainties) and 95% CL (in square brackets) intervals for μoff-shell, μFoff-shell, and μVoff-shell obtained from the analysis of the combination of Run 1 and Run 2 off-shell data sets. |
Summary |
Studies of on-shell and off-shell H boson production in the four-lepton final state are presented, using data from the CMS experiment at the LHC that correspond to an integrated luminosity of 80.2 fb−1 at a center-of-mass energy of 13 TeV. Joint constraints are set on the H boson total width and parameters that express its anomalous couplings to two electroweak vector bosons. These results are combined with those obtained from the data collected at center-of-mass energies of 7 and 8 TeV, corresponding to integrated luminosities of 5.1 and 19.7 fb−1, respectively. Kinematic information from the decay particles and the associated jets are combined using matrix element techniques to identify the production mechanism and increase sensitivity to the H boson couplings in both production and decay. The constraints on anomalous HVV couplings are found to be consistent with the standard model expectation in both on-shell and off-shell regions, as presented in Tables 6 and 7. Under the assumption of a coupling structure similar to that in the standard model, the H boson width is constrained to be 3.2+2.8−2.2 MeV while the expected constraint based on simulation is 4.1+5.0−4.0 MeV, as shown in Table 8. The constraints on the width remain similar with the inclusion of the tested anomalous HVV interactions and are summarized in Table 9. The width results are also interpreted in terms of the H boson signal strength in the off-shell region in Table 10. The observed off-shell signal strength, or equivalently a nonzero value of the width, is more than 2 standard deviations away from a background-only hypothesis, which provides a new direction to measure H boson properties when more data are available. |
Additional Figures | |
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Additional Figure 1:
The distributions of events for max(DVBF2jet,DVBF,0h+2jet) in the on-shell region in the data from 2016 and 2017 from the analysis of the a2 coupling. The requirement Dbkg> 0.5 is applied in order to enhance the signal contribution over the background. The VBF signal under both the SM and anomalous hypotheses is enhanced in the region above 0.5. |
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Additional Figure 2:
The distributions of events for max(DWH2jet,DWH,0h+2jet,DZH2jet,DZH,0h+2jet) in the on-shell region in the data from 2016 and 2017 from the analysis of the a2 coupling. The requirement Dbkg> 0.5 is applied in order to enhance the signal contribution over the background. The WH and ZH signals under both the SM and anomalous hypotheses are enhanced in the region above 0.5. |
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Additional Figure 3:
The distributions of events for max(DVBF2jet,DVBF,Λ12jet) in the on-shell region in the data from 2016 and 2017 from the analysis of the Λ1 coupling. The requirement Dbkg> 0.5 is applied in order to enhance the signal contribution over the background. The VBF signal under both the SM and anomalous hypotheses is enhanced in the region above 0.5. |
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Additional Figure 4:
The distributions of events for max(DWH2jet,DWH,Λ12jet,DZH2jet,DZH,Λ12jet) in the on-shell region in the data from 2016 and 2017 from the analysis of the Λ1 coupling. The requirement Dbkg> 0.5 is applied in order to enhance the signal contribution over the background. The WH and ZH signals under both the SM and anomalous hypotheses are enhanced in the region above 0.5. |
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Additional Figure 5:
The distributions of events for max(DVBF2jet,DVBF,Λ1Zγ2jet) in the on-shell region in the data from 2016 and 2017 from the analysis of the ΛZγ1 coupling. The requirement Dbkg> 0.5 is applied in order to enhance the signal contribution over the background. The VBF signal under both the SM and anomalous hypotheses is enhanced in the region above 0.5. |
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Additional Figure 6:
The distributions of events for max(DWH2jet,DZH2jet,DZH,Λ1Zγ2jet) in the on-shell region in the data from 2016 and 2017 from the analysis of the ΛZγ1 coupling. The requirement Dbkg> 0.5 is applied in order to enhance the signal contribution over the background. The WH and ZH signals under both the SM and anomalous hypotheses are enhanced in the region above 0.5. |
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Additional Figure 7:
Distributions of DCP in the on-shell fa3 analysis. Two tagging categories are shown: VBF-tagged (a) and VH-tagged (b). The decay or production information used in the discriminants depends on the tagging category. fVBFa3 and fVHa3 are defined by analogy with fa3, but using the cross sections for the VBF and VH processes, respectively. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 7-a:
Distribution of DVBFCP in the on-shell fa3 analysis for events in the VBF-tagged category. fVBFa3 is defined by analogy with fa3, but using the cross section for the VBF process. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 7-b:
Distribution of DVHCP in the on-shell fa3 analysis for events in the VH-tagged category. fVHa3 is defined by analogy with fa3, but using the cross section for the VH process. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 8:
Distributions of kinematic discriminants in the on-shell fa2 analysis: Dbkg (a), (d), (g), D0h+ (b), (e), and Dint (c), (f), (h). Three tagging categories are shown: VBF-tagged (a)-(c), VH-tagged (d)-(f), and untagged (g), (h). The decay or production information used in the discriminants depends on the tagging category. fVBFa2 and fVHa2 are defined by analogy with fa2, but using the cross sections for the VBF and VH processes, respectively. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 8-a:
Distribution the Dbkg kinematic discriminant in the on-shell fa2 analysis for events in the VBF-tagged category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 8-b:
Distribution the DVBF+dec0h+ kinematic discriminant in the on-shell fa2 analysis for events in the VBF-tagged category. fVBFa2 is defined by analogy with fa2, but using the cross section for the VBF processes. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 8-c:
Distribution the DVBFint kinematic discriminant in the on-shell fa2 analysis for events in the VBF-tagged category. fVBFa2 is defined by analogy with fa2, but using the cross section for the VBF processes. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 8-d:
Distribution the Dbkg kinematic discriminant in the on-shell fa2 analysis for events in the VH-tagged category. fVHa2 is defined by analogy with fa2, but using the cross section for the VH processes. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 8-e:
Distribution the DVH+dec0h+ kinematic discriminant in the on-shell fa2 analysis for events in the VH-tagged category. fVHa2 is defined by analogy with fa2, but using the cross section for the VH processes. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 8-f:
Distribution the DVHint kinematic discriminant in the on-shell fa2 analysis for events in the VH-tagged category. fVHa2 is defined by analogy with fa2, but using the cross section for the VH processes. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 8-g:
Distribution the Dbkg kinematic discriminant in the on-shell fa2 analysis for events in the untagged category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 8-h:
Distribution the Ddecint kinematic discriminant in the on-shell fa2 analysis for events in the untagged category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 9:
Distributions of kinematic discriminants in the on-shell fΛ1 analysis: Dbkg (a), (d), (g), DΛ1 (b), (e), and D0h+ (c), (f), (h). Three tagging categories are shown: VBF-tagged (a)-(c), VH-tagged (d)-(f), and untagged (g), (h). The decay or production information used in the discriminants depends on the tagging category. fVBFΛ1 and fVHΛ1 are defined by analogy with fΛ1, but using the cross sections for the VBF and VH processes, respectively. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 9-a:
Distribution of the Dbkg kinematic discriminant in the on-shell fΛ1 analysis for events in the VBF-tagged category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 9-b:
Distribution of the DVBF+decΛ1 kinematic discriminant in the on-shell fΛ1 analysis for events in the VBF-tagged category. fVBFΛ1 is defined by analogy with fΛ1, but using the cross section for the VBF process. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 9-c:
Distribution of the DVBF+dec0h+ kinematic discriminant in the on-shell fΛ1 analysis for events in the VBF-tagged category. fVBFΛ1 is defined by analogy with fΛ1, but using the cross section for the VBF process. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 9-d:
Distribution of the Dbkg kinematic discriminant in the on-shell fΛ1 analysis for events in the VH-tagged category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 9-e:
Distribution of the DVH+decΛ1 kinematic discriminant in the on-shell fΛ1 analysis for events in the VH-tagged category. fVHΛ1 is defined by analogy with fΛ1, but using the cross section for the VH process. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 9-f:
Distribution of the DVH+dec0h+ kinematic discriminant in the on-shell fΛ1 analysis for events in the VH-tagged category. fVHΛ1 is defined by analogy with fΛ1, but using the cross section for the VH process. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 9-g:
Distribution of the Dbkg kinematic discriminant in the on-shell fΛ1 analysis for events in the untagged category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 9-h:
Distribution of the Ddec0h+ kinematic discriminant in the on-shell fΛ1 analysis for events in the untagged category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 10:
Distributions of kinematic discriminants in the on-shell fZγΛ1 analysis: Dbkg (a), (d), (g), DZγΛ1 (b), (e), and D0h+ (c), (f), (h). Three tagging categories are shown: VBF-tagged (a)-(c), VH-tagged (d)-(f), and untagged (g), (h). The decay or production information used in the discriminants depends on the tagging category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 10-a:
Distribution of the Dbkg kinematic discriminant in the on-shell fZγΛ1 analysis for events in the VBF-tagged category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 10-b:
Distribution of the DZγ,VBF+decΛ1 kinematic discriminant in the on-shell fZγΛ1 analysis for events in the VBF-tagged category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 10-c:
Distribution of the DVBF+dec0h+ kinematic discriminant in the on-shell fZγΛ1 analysis for events in the VBF-tagged category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 10-d:
Distribution of the Dbkg kinematic discriminant in the on-shell fZγΛ1 analysis for events in the VH-tagged category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 10-e:
Distribution of the DZγ,VH+decΛ1 kinematic discriminant in the on-shell fZγΛ1 analysis for events in the VH-tagged category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 10-f:
Distribution of the DVH+dec0h+ kinematic discriminant in the on-shell fZγΛ1 analysis for events in the VH-tagged category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 10-g:
Distribution of the Dbkg kinematic discriminant in the on-shell fZγΛ1 analysis for events in the untagged category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 10-h:
Distribution of the Ddec0h+ kinematic discriminant in the on-shell fZγΛ1 analysis for events in the untagged category. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 11:
Distributions of Dbkg kinematic discriminants in the off-shell SM-like width analysis. Three tagging categories are shown: VBF-tagged (a), VH-tagged (b), and untagged (c). The decay or production information used in the discriminants depends on the tagging category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 11-a:
Distribution of the DVBF+decbkg kinematic discriminant in the off-shell SM-like width analysis for events in the VBF-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 11-b:
Distribution of the DVH+decbkg kinematic discriminant in the off-shell SM-like width analysis for events in the VH-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 11-c:
Distribution of the Dkinbkg kinematic discriminant in the off-shell SM-like width analysis for events in the untagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 12:
Distributions of kinematic discriminants in the off-shell fa3 analysis: m4ℓ (a), (c), (e), and D0− (b), (d), (f). Three tagging categories are shown: VBF-tagged (a), (b), VH-tagged (c), (d), and untagged (e), (f). The decay or production information used in the discriminants depends on the tagging category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 12-a:
Distribution of m4ℓ in the off-shell fa3 analysis for events in the VBF-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 12-b:
Distribution of the DVBF+dec0− kinematic discriminant in the off-shell fa3 analysis for events in the VBF-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 12-c:
Distribution of m4ℓ in the off-shell fa3 analysis for events in the VH-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 12-d:
Distribution of the DVH+dec0− kinematic discriminant in the off-shell fa3 analysis for events in the VH-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 12-e:
Distribution of m4ℓ in the off-shell fa3 analysis for events in the untagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 12-f:
Distribution of the Ddec0− kinematic discriminant in the off-shell fa3 analysis for events in the untagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 13:
Distributions of kinematic discriminants in the off-shell fa2 analysis: m4ℓ (a), (d), (g), Dbkg (b), (e), (h), and D0h+ (c), (f), (i). Three tagging categories are shown: VBF-tagged (a)-(c), VH-tagged (d)-(f), and untagged (g)-(i). The decay or production information used in the discriminants depends on the tagging category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 13-a:
Distribution of m4ℓ in the off-shell fa2 analysis for events in the VBF-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
![]() png pdf |
Additional Figure 13-b:
Distribution of the DVBF+decbkg kinematic discriminant in the off-shell fa2 analysis for events in the VBF-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
![]() png pdf |
Additional Figure 13-c:
Distribution of the DVBF+dec0h+ kinematic discriminant in the off-shell fa2 analysis for events in the VBF-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 13-d:
Distribution of m4ℓ in the off-shell fa2 analysis for events in the VH-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
![]() png pdf |
Additional Figure 13-e:
Distribution of the DVH+decbkg kinematic discriminant in the off-shell fa2 analysis for events in the VH-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
![]() png pdf |
Additional Figure 13-f:
Distribution of the DVH+dec0h+ kinematic discriminant in the off-shell fa2 analysis for events in the VH-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 13-g:
Distribution of m4ℓ in the off-shell fa2 analysis for events in the untagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 13-h:
Distribution of the Dkinbkg kinematic discriminant in the off-shell fa2 analysis for events in the untagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 13-i:
Distribution of the Ddec0h+ kinematic discriminant in the off-shell fa2 analysis for events in the untagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 14:
Distributions of kinematic discriminants in the off-shell fΛ1 analysis: m4ℓ (a), (d), (g), Dbkg (b), (e), (h), and DΛ1 (c), (f), (i). Three tagging categories are shown: VBF-tagged (a)-(c), VH-tagged (d)-(f), and untagged (g)-(i). The decay or production information used in the discriminants depends on the tagging category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
![]() png pdf |
Additional Figure 14-a:
Distribution of m4ℓ in the off-shell fΛ1 analysis for events in the VBF-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 14-b:
Distribution of the DVBF-decbkg kinematic discriminant in the off-shell fΛ1 analysis for events in the VBF-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 14-c:
Distribution of the DVBF+decΛ1 kinematic discriminant in the off-shell fΛ1 analysis for events in the VBF-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 14-d:
Distribution of m4ℓ in the off-shell fΛ1 analysis for events in the VH-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
![]() png pdf |
Additional Figure 14-e:
Distribution of the DVH-decbkg kinematic discriminant in the off-shell fΛ1 analysis for events in the VH-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
![]() png pdf |
Additional Figure 14-f:
Distribution of the DVH+decΛ1 kinematic discriminant in the off-shell fΛ1 analysis for events in the VH-tagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
![]() png pdf |
Additional Figure 14-g:
Distribution of m4ℓ in the off-shell fΛ1 analysis for events in the untagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
![]() png pdf |
Additional Figure 14-h:
Distribution of the Dkinbkg kinematic discriminant in the off-shell fΛ1 analysis for events in the untagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 14-i:
Distribution of the DdecΛ1 kinematic discriminant in the off-shell fΛ1 analysis for events in the untagged category. The requirement m4ℓ> 340 GeV is applied in order to enhance signal over background contributions. Points with error bars show data and histograms show expectations for background and SM or BSM signal as indicated in the legend. |
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Additional Figure 15:
Observed (solid) and expected (dashed) likelihood scans of fa3 (a), fa2 (b), and fΛ1 (c). Three constraint scenarios are shown: using only on-shell events (green), using both on-shell and off-shell events with the ΓH left unconstrained (red), or with the constraint ΓH=ΓSMH (blue). The dashed horizontal lines show the 68 and 95% CL regions. |
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Additional Figure 15-a:
Observed (solid) and expected (dashed) likelihood scans of fa3. Three constraint scenarios are shown: using only on-shell events (green), using both on-shell and off-shell events with the ΓH left unconstrained (red), or with the constraint ΓH=ΓSMH (blue). The dashed horizontal lines show the 68 and 95% CL regions. |
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Additional Figure 15-b:
Observed (solid) and expected (dashed) likelihood scans of fa2. Three constraint scenarios are shown: using only on-shell events (green), using both on-shell and off-shell events with the ΓH left unconstrained (red), or with the constraint ΓH=ΓSMH (blue). The dashed horizontal lines show the 68 and 95% CL regions. |
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Additional Figure 15-c:
Observed (solid) and expected (dashed) likelihood scans of fΛ1. Three constraint scenarios are shown: using only on-shell events (green), using both on-shell and off-shell events with the ΓH left unconstrained (red), or with the constraint ΓH=ΓSMH (blue). The dashed horizontal lines show the 68 and 95% CL regions. |
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Additional Figure 16:
Summary of confidence level intervals of anomalous coupling parameters in HVV interactions under the assumption that all the coupling ratios are real (ϕVVai=0 or π). The HZZ+HWW coupling limits assume that aZZi=aWWi. The expected 68% and 95% CL regions are shown as green and yellow bands. The observed intervals for 68% CL are shown as points with error bars, and the excluded regions at 95% CL are indicated with the hatched areas. The limits on fZγ,γγa2,3 are from Ref. [25], and the limits on fΛQ are from Ref. [13]. |
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Compact Muon Solenoid LHC, CERN |
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