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Deep Neural Networks for Particle Identification in Simulated Proton-Proton Collisions at LHC and RHIC
Particle identification is an essential part of experimental high-energy physics, which allows the study of the most fundamental constituents of matter. This thesis explores the use of deep neural networks for identifying particles in simulated proton-proton collisions at the Large Hadron Collider (...
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AUC Knowledge Fountain
2025
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