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Machine Learning approach to boosting neutral particles identification in the LHCb calorimeter
We present a new approach to identification of boosted neutral particles using Electromagnetic Calorimeter (ECAL) of the LHCb detector. The identification of photons and neutral pions is currently based on expected properties of the objects reconstructed in the calorimeter. This allows to distinguis...
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| Lenguaje: | eng |
| Publicado: |
2019
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| Acceso en línea: | http://cds.cern.ch/record/2667017 |