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Search for Dark Matter using Machine Learning in dilepton and missing energy events with the ATLAS detector at the LHC
In this master thesis, we compared the performance of a Neural Network (NN) and a Boosted Decision Tree (BDT) Machine Learning (ML) algorithm for the binary classification of Dark Matter (DM) signal and the Standard Model (SM) background. We conducted searches based on models from different theoreti...
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| Lenguaje: | eng |
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2023
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| Acceso en línea: | http://cds.cern.ch/record/2863666 |