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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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Lenguaje: | eng |
Publicado: |
2022
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Acceso en línea: | http://cds.cern.ch/record/2824558 |
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. |
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