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arXiv:2207.04928·v2·High Energy Physics — Phenomenology

Charged Higgs Phenomenology in di-bjet channel with in 2HDM Type-II using Machine Learning Technique

Kanhaiya Gupta🇩🇪

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Abstract

The latest LHC collaborations results on and are used to impose constraints on the charged Higgs parameters within the Two Higgs Doublet Model (2HDM). But it leaves window unexplored where the becomes sizable for . In this manuscript is investigated with neutral Higgs boson decaying to a pair of b-quarks and the discovery prospects of charged Higgs boson is discussed. In particular, the analysis is optimized by putting the kinematic cuts and prospects of using Machine Learning Technique to derive values of needed for a discovery at the LHC.

Comments: 8 pages, 16 figures