Computational, Simulation and Machine Learning Methods in High Energy Physics and Beyond: Automated Computational Tools.

The course is organised in lectures and tutorial sessions where students perform simulations on their own. First, the basics concepts of perturbative QCD relevant for describing events taking place at the LHC experiments are reviewed together with notions of fixed order computations at higher orders, parton showers and their merging/matching. Second, the techniques used for making such computations automatically starting from a generic Lagrangian as well as their implementation in public tools are presented. As practical applications, students will be asked to perform fully-fledged simulations of processes of interest at the LHC, SM as well as beyond the SM, via the use of FeynRules/MadGraph5_aMC@NLO/Pythia/Delphes simulation chain.