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Neural Networks Search for Charged Higgs Boson of Two Doublet Higgs\n Model at the Hadrons Colliders

2015/07/23 by Nady Bakhet, Maxim Khlopov, Bakhet, Nady +3
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Cosmology and Gravitation Theories #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Particle Detector Development and Performance #Particle physics theoretical and experimental studies

paper · pdf · doi:10.48550/arxiv.1507.06547

openalex publication_date 2015/07/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In this work, we present an analysis of a search for charged Higgs boson in\nthe context of Two Doublet Higgs Model (2HDM) which is an extension of the\nStandard Model of particles physics. The 2HDM predicts by existence scalar\nsector with new five Higgs bosons, two of them are electrically charged and the\nother three Higgs bosons are neutral charged. Our analysis based on the Monte\nCarlo data produced from the simulation of 2HDM with proton antiproton\ncollisions at the Tevatron \√(s)=1.96 TeV (Fermi Lab) and proton proton\ncollisions at the LHC \√(s)=14 TeV (CERN) with final state includes\nelectron , muon , multiple jets and missing transverse energy via the\nproduction and decay of the new Higgs in the hard process\npp(\p)\→ t\t\→ H+b H-\b\n

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