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Robustness of the Artificial Neural Networks Used for Clustering in the ATLAS Pixel Detector
A study of the robustness of the ATLAS pixel neural network clustering algorithm is presented. The sensitivity to variations to its input is evaluated. These variations are motivated by potential discrepancies between data and simulation due to uncertainties in the modelling of pixel clusters in sim...
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| Lenguaje: | eng |
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2015
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| Acceso en línea: | http://cds.cern.ch/record/2116350 |