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Deep learning techniques for energy clustering in the CMS electromagnetic calorimeter
The reconstruction of electrons and photons in CMS depends on topological clustering of the energy deposited by an incident particle in different crystals of the electromagnetic calorimeter (ECAL). These clusters are formed by aggregating neighbouring crystals according to the expected topology of a...
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| Lenguaje: | eng |
| Publicado: |
2022
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| Acceso en línea: | http://cds.cern.ch/record/2848334 |