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Convolutional Neural Networks with Event Images for Pileup Mitigation with the ATLAS Detector
The addition of multiple, nearly simultaneous $pp$ collisions to hard-scatter collisions (pileup) is a significant challenge for most physics analyses at the LHC. Many techniques have been proposed to mitigate the impact of pileup on jets and other reconstructed objects. This study investigates the...
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| Lenguaje: | eng |
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2019
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| Acceso en línea: | http://cds.cern.ch/record/2684070 |