TY  - JOUR
AU  - ATLAS Collaboration (Aaboud, M. et al
AU  - Alvarez Piqueras, D.
AU  - Aparisi Pozo, J. A.
AU  - Bailey, A. J.
AU  - Barranco Navarro, L.
AU  - Cabrera Urban, S.
AU  - Castillo, F. L.
AU  - Castillo Gimenez, V.
AU  - Cerda Alberich, L.
AU  - Costa, M. J.
AU  - Escobar, C.
AU  - Estrada Pastor, O.
AU  - Ferrer, A.
AU  - Fiorini, L.
AU  - Fullana Torregrosa, E.
AU  - Fuster, J.
AU  - Garcia, C.
AU  - Garcia Navarro, J. E.
AU  - Gonzalez de la Hoz, S.
AU  - Gonzalvo Rodriguez, G. R.
AU  - Higon-Rodriguez, E.
AU  - Jimenez Pena, J.
AU  - Lacasta, C.
AU  - Lozano Bahilo, J. J.
AU  - Madaffari, D.
AU  - Mamuzic, J.
AU  - Marti-Garcia, S.
AU  - Melini, D.
AU  - Miñano, M.
AU  - Mitsou, V. A.
AU  - Rodriguez Bosca, S.
AU  - Rodriguez Rodriguez, D.
AU  - Ruiz-Martinez, A.
AU  - Salt, J.
AU  - Santra, A.
AU  - Soldevila, U.
AU  - Sanchez, J.
AU  - Valero, A.
AU  - Valls Ferrer, J. A.
AU  - Vos, M.
PY  - 2019
DA  - 2019//
TI  - Performance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC
T2  - Eur. Phys. J. C
JO  - European Physical Journal C
SP  - 375
EP  - 54pp
VL  - 79
IS  - 5
PB  - Springer
AB  - The performance of identification algorithms (taggers) for hadronically decaying top quarks and W bosons in pp collisions at = 13TeV recorded by the ATLAS experiment at the Large Hadron Collider is presented. A set of techniques based on jet shape observables are studied to determine a set of optimal cut-based taggers for use in physics analyses. The studies are extended to assess the utility of combinations of substructure observables as a multivariate tagger using boosted decision trees or deep neural networks in comparison with taggers based on two-variable combinations. In addition, for highly boosted top-quark tagging, a deep neural network based on jet constituent inputs as well as a re-optimisation of the shower deconstruction technique is presented. The performance of these taggers is studied in data collected during 2015 and 2016 corresponding to 36.1fb-1 for the tt and +jet and 36.7-1 for the dijet event topologies.
SN  - 1434-6044
UR  - https://arxiv.org/abs/1808.07858
UR  - https://doi.org/10.1140/epjc/s10052-019-6847-8
DO  - 10.1140/epjc/s10052-019-6847-8
LA  - English
N1  - WOS:000466407600007
ID  - ATLASCollaborationAaboud_etal2019
ER  -