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Machine Learning based background correction for jet shapes in Pb-Pb collisions at 5.02 TeV
Jet shapes and, furthermore, jet substructure observables are of utmost interest for the field of heavy-ion physics. However, the overwhelmingly large background from soft processes complicates a measurement in particular for low jet transverse momenta: Both, the jet energy scale as well as the jet...
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| Lenguaje: | eng |
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2019
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| Acceso en línea: | http://cds.cern.ch/record/2689437 |