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Point Cloud Deep Learning Methods for Pion Reconstruction in the ATLAS Detector
The reconstruction and calibration of hadronic final states in the ATLAS detector at the LHC present complex experimental challenges. For isolated pions in particular, classifying $\pi^0$ versus $\pi^{\pm}$ and calibrating pion energy deposits in the ATLAS calorimeters are key steps in the hadronic...
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| Lenguaje: | eng |
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2022
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| Acceso en línea: | https://dx.doi.org/10.22323/1.414.1076 http://cds.cern.ch/record/2839615 |
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