Ústav technické a experimentální fyziky Institute of Experimental and Applied Physics

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

NázevTitle
Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton-proton collisionsOptimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton-proton collisions
Druh výsledkuResult type
Článek v časopiseJournal article
AutořiAuthors
M. Aaboud, G. Aad, B. Abbott, O. Abdinov, B. Ali, K. Augsten, D. Caforio, P. Gallus, M. Havránek, Z. Hubáček, P. Jačka, M. Myška, R. Novotný, S. Pospíšil, T. Slavíček, K. Smolek, M. Solar, A. Sopczak, M. Suk, V. Vacek, P. Vokáč, V. Vrba
DOIDOI
10.1140/epjc/s10052-021-09054-3
Časopis / citaceJournal / citation
European Physical Journal C. 2021, 81(4), ISSN 1434-6044.
RokYear
2021
JazykLanguage
eng
WoSWoS
000641660400005
ScopusScopus
2-s2.0-85104634185
RIVRIV
RIV/68407700:21220/21:00354711!RIV22-MSM-21220___
ProjektProject
Centrum pokročilých aplikovaných přírodních vědCenter for advanced applied sciences; CERN-CZ II - Výzkumná infrastruktura pro experimenty v CERN - LM2018104 (2020–2022)CERN-CZ II - Výzkumná infrastruktura pro experimenty v CERN - LM2018104 (2020–2022); Získávání nových poznatků o mikrosvětě v infrastruktuře CERNAcquiring new pieces of knowledge about micro-world in CERN research infrastructure

AbstraktAbstract

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 root 8 = 13 TeV during 2017.

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 root 8 = 13 TeV during 2017.