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Training and validation of the ATLAS pixel clustering neural networks
The high centre-of-mass energy of the LHC gives rise to dense environments, such as the core of high-pT jets, in which the charge clusters left by ionising particles in the silicon sensors of the pixel detector can merge, compromising the tracking and vertexing efficiency. To recover optimal perform...
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| Lenguaje: | eng |
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2018
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| Acceso en línea: | http://cds.cern.ch/record/2309474 |