Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 
TeV proton--proton collisions

ATLAS Collaboration,

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Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton--proton collisions

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ATLAS Collaboration,
Max Planck Institute for Physics, Max Planck Society and Cooperation Partners;

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Citation

ATLAS Collaboration (2021). Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton--proton collisions. European Physical Journal C, 81, 334. Retrieved from https://publications.mppmu.mpg.de/?action=search&mpi=MPP-2020-168.

Cite as: https://hdl.handle.net/21.11116/0000-000A-1A48-9

Abstract

Jet substructure has provided new opportunities for searches and measurements at the LHC, and has seen continuous development since the first ATLAS studies during Run 1. A range of new inputs to jet reconstruction, pile-up mitigation techniques and jet grooming algorithms motivate an optimisation of large-radius jet reconstruction for ATLAS. In this paper, this optimisation procedure is presented, and the performance of a wide range of large-radius jet definitions is compared. The relative performance of these jet definitions is assessed using metrics such as their stability with respect to the number of pile-up collisions and their ability to identify hadronically decaying $W$ bosons and top quarks with large transverse momenta. A new type of jet input object, called a 'unified flow object' is introduced which combines calorimeter- and inner-detector-based signals in order to achieve optimal performance across a wide kinematic range. Large-radius jet definitions are identified which significantly improve on the current ATLAS baseline definition.