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Exploring Boosted Decision Trees for an ATLAS Search for Dark Mesons
This project explores the usage of the machine learning method of boosted decision trees (BDTs) for the ATLAS search for dark mesons, which are a dark matter candidate. As this search tries to extract a tiny signal from a huge and very similar background using a set of sensitive kinematic variables,...
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| Lenguaje: | eng |
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2023
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| Acceso en línea: | http://cds.cern.ch/record/2867790 |