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{ "DOI": "10.1140/epjc/s10052-021-09054-3", "abstract": "<p>Jet substructure has provided new opportunities for searches and measurements at the LHC, and has seen continuous development since the optimization of the large-radius jet definition used by ATLAS was performed 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 pileup stability, 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, and their modelling is studied using pp collisions recorded by the ATLAS detector at $\\sqrt{s}=13\\phantom{\\rule{3.33333pt}{0ex}}\\text{TeV}$ during 2017.</p>", "author": [ { "family": "CERN \u0130\u015fbirli\u011fi" } ], "container_title": "European Physical Journal C", "id": "240488", "issue": "4", "issued": { "date-parts": [ [ 2021, 1, 1 ] ] }, "title": "Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton\u2013proton collisions", "type": "article-journal", "volume": "81" }
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