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Graph Neural Network Architectures for Fast Simulation and Muon Momentum Inference at the CMS Detector
We explore the potential of graph neural networks in various applications in high energy physics including fast simulation of boosted jets and muon momentum estimation in the CMS detector. Accurate and fast simulation of particle physics processes is crucial for the high-energy physics community. Si...
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| Lenguaje: | eng |
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2021
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| Acceso en línea: | http://cds.cern.ch/record/2758631 |