A neural network trained on simulated m_hh distributions can extract the 2HDM coupling product xi_H^t x lambda_hhH at 10-20% precision in a hypothetical HL-LHC scenario with m_H = 450 GeV.
Double Neutral Higgs production in the Two-Higgs doublet model at the LHC
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abstract
In this work we study the production and decay of two CP-even Higgs bosons in the general CP-conserving two-Higgs doublet model at the LHC. We also study the limiting case of the decoupling scenario. For each Yukawa version of the model, we look for the region of the parameter space where a signal would be seen at the LHC. Taking into account theoretical and experimental constraints on the two Higgs doublet model parameters, we show that the cross section can be two orders of magnitude above the corresponding Standard Model cross section. We have also studied in detail the decay profile of the Higgs bosons and showed that interesting signatures may emerge for some particular values of the parameters. In some scenarios, specific triple Higgs could be measured.
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Experimental Determination of BSM Triple Higgs Couplings at the HL-LHC with Neural Networks
A neural network trained on simulated m_hh distributions can extract the 2HDM coupling product xi_H^t x lambda_hhH at 10-20% precision in a hypothetical HL-LHC scenario with m_H = 450 GeV.