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A Machine Learning Approach to Local Energy Calibration in the ATLAS Calorimeters
The intention of an energy calibration scheme is to provide a calorimeter signal for physics object reconstruction in ATLAS which is calibrated outside an assumption about the type of object. This is of particular importance for final-state objects with a significant hadronic signal content, such as...
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| Lenguaje: | eng |
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2021
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| Acceso en línea: | http://cds.cern.ch/record/2784015 |