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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
- Publication Year :
- 2020
-
Abstract
- [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.
Details
- Database :
- OAIster
- Notes :
- English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1286566398
- Document Type :
- Electronic Resource