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Impact of Alternative Inputs and Jet Grooming on Large-R Jet Performance
Large-radius jets used in ATLAS physics analyses are built from calorimeter clusters and are groomed using the trimming algorithm. However, new advances in jet input reconstruction and grooming algorithms, as well as increased pileup conditions, motivate a new optimization of the large-radius jet de...
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Lenguaje: | eng |
Publicado: |
2019
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2683619 |
Sumario: | Large-radius jets used in ATLAS physics analyses are built from calorimeter clusters and are groomed using the trimming algorithm. However, new advances in jet input reconstruction and grooming algorithms, as well as increased pileup conditions, motivate a new optimization of the large-radius jet definition for Run 2 of the LHC. In this note, a survey of jet input constituents, constituent-level pileup mitigation techniques, and grooming algorithms is performed in simulations of proton-proton collisions at a center-of-mass energy of 13 TeV with the ATLAS detector. It is found that modern techniques can improve both the pileup stability of large-radius jets and their ability to reconstruct the substructure of hadronically decaying $W$ bosons and top quarks when compared to trimmed large-radius jets reconstructed from calorimeter cell clusters. |
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