Abstract

We study the production of Higgs boson pairs via gluon fusion at the LHC in the Two-Higgs-Doublet Model. We present predictions at NLO accuracy in QCD, matched to parton showers through the MC@NLO method. A dedicated reweighting technique is used to improve the NLO calculation upon the infinite top-mass limit. We perform our calculation within the MadGraph5 aMC@NLO framework, along with the 2HDM implementation based on the NLOCT package. The inclusion of the NLO corrections leads to large K-factors and significantly reduced theoretical uncertainties. We examine the seven 2HDM Higgs pair combinations using a number of representative 2HDM scenarios. We show how the model-specific features modify the Higgs pair total rates and distribution shapes, leading to trademark signatures of an extended Higgs sector.

Highlights

  • If effectively realized in Nature, the 2HDM could lead to genuine indications of new physics at colliders

  • We study the production of Higgs boson pairs via gluon fusion at the LHC in the Two-Higgs-Doublet Model

  • Multiple Higgs boson production processes are instrumental in this endeavour, because they directly depend on the Higgs self-couplings, and because they are sensitive to possible new heavier states and/or to higher-dimensional operators [43,44,45,46,47,48,49,50]

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Summary

The Two-Higgs-Doublet Model

Fixing the Higgs mass to mH = 126 GeV, a global fit to electroweak precision observables in terms of the oblique parameters S, T, U [94] yields S = 0.03 ± 0.01, T = 0.05 ± 0.12, and U = 0.03 ± 0.10 [95,96,97] Aside from these conditions connected to the structure of the model, the allowed parameter space shrinks even further as we enforce compatibility with the average LHC Higgs signal strength [98, 99] and the direct collider mass bounds on the heavy neutral [100,101,102,103,104,105,106,107,108,109] and charged Higgs bosons [110,111,112,113].

Benchmarks
Higgs pair production in the 2HDM
Charged Higgs boson pairs
Next-to-leading order corrections
Calculation setup
Total rates
Differential distributions
Findings
Conclusions
Full Text
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