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Progress towards an improved particle flow algorithm at CMS with machine learning
The particle-flow (PF) algorithm is of central importance to event reconstruction in the CMS experiment at the CERN LHC, and has been a focus of developments in light of planned Phase-2 running conditions with an increased pileup and detector granularity. Current rule-based implementations rely on e...
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| Lenguaje: | eng |
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2022
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| Acceso en línea: | http://cds.cern.ch/record/2842375 |