Constraints on Higgs boson properties using $WW^{*}(\rightarrow e\nu\mu\nu) jj$ production in 36.1 fb$^{-1}$ of $\sqrt{s}$=13 TeV $pp$ collisions with the ATLAS detector

The collaboration
Eur.Phys.J.C 82 (2022) 622, 2022.

Abstract (data abstract)
CERN-LHC. This article presents the results of two studies of Higgs boson properties using the WW* -> e nu e mu jj final state, based on a dataset corresponding to 36/fb of $\sqrt(s)$ = 13 TeV proton--proton collisions recorded by the ATLAS experiment at the Large Hadron Collider. The first study targets Higgs boson production via gluon fusion and constrains the CP properties of the effective Higgs-gluon interaction. This study complements existing coupling parameter measurements in the e nu mu nu jj final state. Using both angular distributions and the overall rate, the mixing angle for CP-even and CP-odd contributions to the effective Higgs-gluon interaction is constrained to tan(alpha) = 0.0 $\pm$ 0.4 (stat) $\pm$ 0.3 (syst.). The second study exploits the vector boson fusion production mechanism to probe the Higgs boson couplings to longitudinally and transversely polarised W and Z bosons in both the production and the decay of the Higgs boson; these couplings have not been previously constrained. The polarisation-dependent coupling-strength scale factors are defined as the ratios of the measured polarisation-dependent coupling strengths to that predicted by the Standard Model, and are constrained using rate and kinematic information to be a_(L)=0.91$^{+0.10}_{-0.18}$(stat.)$^{+0.09}_{-0.18}$(syst.) and a(T)=1.2 $\pm$ 0.4 (stat.)$^{+0.4}_{-0.3}$(syst.). These coupling strengths are translated into pseudo-observables, resulting in kappa(VV)= 0.90$^{+0.10}_{-0.18}$(stat.)$^{+0.09}_{-0.16}$(syst.) and epsilon(VV) = 0.13$^{+0.28}_{-0.20}$(stat.)$^{+0.08}_{-0.10}$(syst.). All results are consistent with the Standard Model predictions.

• Table 5

Table 5 from Section 6

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Post-fit NFs and their uncertainties for the Z+jets, top and WW backgrounds. Both sets of normalisation factors differ slightly depending...

• Table 6

Table 6 from Section 8.1

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Post-fit event yields in the signal and control regions obtained from the study of the signal strength parameter $\mu^{\text{ggF+2jets}}$. The...

• Table 7

Table 7 from Section 8.1

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Breakdown of the main contributions to the total uncertainty on $\tan \alpha$ based on the fit that exploits both shape...

• Table 8

Table 8 from Section 8.2

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Post-fit event yields in the signal and control regions obtained from a scan over $\epsilon_{VV}$ exploiting both shape and rate...

• Table 9

Table 9 from Section 8.2

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Best-fit values and their uncertainties as obtained from the shape-only and shape-plus-rate likelihood fits to the Asimov dataset and to...

• Table 10

Table 10 from Section 8.2

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Best-fit values and their uncertainties as obtained from the shape-only and shape-plus-rate likelihood fits to the Asimov dataset and to...

• Table 11a

Table 11a from Section 8.2

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The contributions of the leading individual systematic uncertainties together with the data statistical uncertainties, in the one dimensional fit for...

• Table 11b

Table 11b from Section 8.2

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The contributions of the leading individual systematic uncertainties together with the data statistical uncertainties, in the one dimensional fit for...

• Figure 3

Data from Figure 3, Section 8.1

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Post-fit distribution of the BDT response observable presented in the four $|\Delta \eta jj|$ categories of the ggF +2 jets...

• Figure 4

Data from Figure 4, Section 8.1

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The weighted $\Delta \Phi_{jj}$ post-fit distribution in the ggF +2 jets signal region, with signal and background yields fixed from...

• Figure 5a

Figure 5a, Section 8.1

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Expected and observed likelihood curves for scans over $\tan \alpha$ where only the shape is taken into account in the...

• Figure 5b

Figure 5b, Section 8.1

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Expected and observed likelihood curves for scans over $\tan \alpha$ where both shape and normalisation are taken into account in...

• Figure 6

Figure 6, Section 8.1

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68% and 95% CL two-dimensional likelihood contours of the CP-even and CP-odd coupling parameters $K_{gg} \cos(\alpha)$ and $K_{gg} \sin(\alpha)$. The...

• Figure 7

Figure 7, Section 8.2

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The weighted $\Delta \Phi jj$ distribution in the VBF signal region, with signal and background yields fixed from the fit...

• Figure 8a

Figure 8a, Section 8.2

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Likelihood scans over the transversally polarised couplings. The fit is using shape-only information. All relevant experimental and modelling systematic uncertainties...

• Figure 8b

Figure 8b, Section 8.2

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Likelihood scans over the transversally polarised couplings. The fit is using shape + rate information. All relevant experimental and modelling...

• Figure 8c

Figure 8c, Section 8.2

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Likelihood scans over the longitudinally polarised couplings. The fit is using shape + rate information. All relevant experimental and modelling...

• Figure 9a

Figure 9a, Section 8.2

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Likelihood scans over $\kappa_{VV}$ with the $\epsilon_{VV}$ profiled. The fit is performed using both shape and rate information. All relevant...

• Figure 9b

Figure 9b, Section 8.2

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Likelihood scans over $\epsilon_{VV}$ with the $\kappa_{VV}$ profiled. The fit is performed using both shape and rate information. All relevant...

• Table a

Table not included in the paper

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The contributions of the leading individual systematic uncertainties together with the data statistical uncertainties, in the one dimensional fit for...

• Table b

Table not included in the paper

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The contributions of the leading individual systematic uncertainties together with the data statistical uncertainties, in the one dimensional fit for...