Discrimination of the standard model top quark pair production from the dark matter production in association with a top quark pair using an Artificial Neural Network

[EN] This work frames in the context of a search for Dark Matter particles in association with a top quark-antiquark pair in the Compact Muon Solenoid (CMS) experiment at the LHC. Simulated Monte Carlo data of proton-proton collisions at a center of mass energy of 13 TeV are used to train an Artificial Neural Network to discriminate between the signal model: dark matter in association with a top quark pair, and the background: standard model production of top quark pairs.