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

  • Author(s): Aad, G;
  • Abbott, B;
  • Abbott, DC;
  • Abud, AA;
  • Abeling, K;
  • Abhayasinghe, DK;
  • Abidi, SH;
  • AbouZeid, OS;
  • Abraham, NL;
  • Abramowicz, H;
  • Abreu, H;
  • Abulaiti, Y;
  • Acharya, BS;
  • Achkar, B;
  • Adam, L;
  • Bourdarios, CA;
  • Adamczyk, L;
  • Adamek, L;
  • Adelman, J;
  • Adersberger, M;
  • Adiguzel, A;
  • Adorni, S;
  • Adye, T;
  • Affolder, AA;
  • Afik, Y;
  • Agapopoulou, C;
  • Agaras, MN;
  • Aggarwal, A;
  • Agheorghiesei, C;
  • Aguilar-Saavedra, JA;
  • Ahmad, A;
  • Ahmadov, F;
  • Ahmed, WS;
  • Ai, X;
  • Aielli, G;
  • Akatsuka, S;
  • Akbiyik, M;
  • Åkesson, TPA;
  • Akilli, E;
  • Akimov, AV;
  • Al Khoury, K;
  • Alberghi, GL;
  • Albert, J;
  • Verzini, MJA;
  • Alderweireldt, S;
  • Aleksa, M;
  • Aleksandrov, IN;
  • Alexa, C;
  • Alexopoulos, T;
  • Alfonsi, A;
  • Alfonsi, F;
  • Alhroob, M;
  • Ali, B;
  • Ali, S;
  • Aliev, M;
  • Alimonti, G;
  • Allaire, C;
  • Allbrooke, BMM;
  • Allen, BW;
  • Allport, PP;
  • Aloisio, A;
  • Alonso, F;
  • Alpigiani, C;
  • Camelia, EA;
  • Estevez, MA;
  • Alviggi, MG;
  • Coutinho, YA;
  • Ambler, A;
  • Ambroz, L;
  • Amelung, C;
  • Amidei, D;
  • Santos, SPAD;
  • Amoroso, S;
  • Amrouche, CS;
  • An, F;
  • Anastopoulos, C;
  • Andari, N;
  • Andeen, T;
  • Anders, JK;
  • Andrean, SY;
  • Andreazza, A;
  • Andrei, V;
  • Anelli, CR;
  • Angelidakis, S;
  • Angerami, A;
  • Anisenkov, AV;
  • Annovi, A;
  • Antel, C;
  • Anthony, MT;
  • Antipov, E;
  • Antonelli, M;
  • Antrim, DJA;
  • Anulli, F;
  • Aoki, M;
  • Pozo, JAA;
  • Aparo, MA;
  • Bella, LA;
  • Aranzabal, N;
  • Ferraz, VA;
  • Pereira, RA
  • et al.
Abstract

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 s=13TeV during 2017.

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