Search for beyond the standard model physics at high energies of the different colliders and accelerators using artificial neural networks programming and monte carlo simulation techniques / Nady Abdallah Abdelhamied Bakhet ; Supervised Tarek Hussein , Maxim Yu. Khlopov

Thesis (Ph.D.) - Cairo University - Faculty of Science - Department of Physics

In this thesis, we have studied the discovery potential of new phenomena of the beyond the standard model (BSM) physics at the hadrons colliders at high energies in the context of different theoretical proposed models which act as an extension for the standard Model of particle physics. These models try to solve various problems of the standard model such as the origin of mass, CP violation, neutrino masses, matter antimatter asymmetry and the gravity. From these models, left right symmetric model LRSM (we have studied a new charged boson Wprime and new doubly charged Higgs boson), fourth generation model (we have studied a new top quark), Two doublet higgs model 2DHM (we have studied a new charged higgs boson), hidden abelian higgs model HAHM (we have studied a new neutral light boson zprime and new heavy higgs boson) and large extra dimensions LED Models (we have studied the graviton). We used both monte Carlo (MC) simulation techniques and the artificial neural networks (ANNs) to simulate these models and analyzing the monte Carlo data produced from proton-proton collisions at the LHC CERN (CMS and ATLAS detectors) and proton antiproton collisions at the tevatron fermiLab (CDF and D0 detectors). The results of the analysis of the Monte Carlo data have been interpreted according to the theoretical framework of these models

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