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R=0.4 jets input comparison and Monte Carlo calibration with the ATLAS Detector

In the ATLAS experiment at the Large Hadron Collider, jets play a central role in many physics analyses. ATLAS has recently developed a new particle-flow algorithm, “Unified Flow Objects” (UFOs), which optimize the use of calorimeter and tracking information for jet substructure reconstruction. This...

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Detalles Bibliográficos
Autor principal: The ATLAS collaboration
Lenguaje:eng
Publicado: 2022
Materias:
Acceso en línea:http://cds.cern.ch/record/2824558
Descripción
Sumario:In the ATLAS experiment at the Large Hadron Collider, jets play a central role in many physics analyses. ATLAS has recently developed a new particle-flow algorithm, “Unified Flow Objects” (UFOs), which optimize the use of calorimeter and tracking information for jet substructure reconstruction. This set of input objects may be preprocessed by additional input-level algorithms in order to mitigate pile-up contributions. This note summarizes the performance of small-radius jets reconstructed from UFOs in combination with pile-up mitigation algorithms in terms of energy response linearity, energy resolution and pile-up stability. Jets reconstructed from UFOs are found to have similar or better performance than current jet definition used in ATLAS for all metrics used.