TY - JOUR AU - ATLAS Collaboration (Aad, G. et al AU - Alvarez Piqueras, D. AU - Cabrera Urban, S. AU - Castillo Gimenez, V. AU - Costa, M. J. AU - Fernandez Martinez, P. AU - Ferrer, A. AU - Fiorini, L. AU - Fuster, J. AU - Garcia, C. AU - Garcia Navarro, J. E. AU - Gonzalez de la Hoz, S. AU - Hernandez Jimenez, Y. AU - Higon-Rodriguez, E. AU - Irles Quiles, A. AU - Jimenez Pena, J. AU - Kaci, M. AU - King, M. AU - Lacasta, C. AU - Lacuesta, V. R. AU - Marti-Garcia, S. AU - Mitsou, V. A. AU - Pedraza Lopez, S. AU - Perez Garcia-Estañ, M. T. AU - Romero Adam, E. AU - Ros, E. AU - Salt, J. AU - Sanchez Martinez, V. AU - Soldevila, U. AU - Sanchez, J. AU - Valero, A. AU - Valls Ferrer, J. A. AU - Vos, M. PY - 2016 DA - 2016// TI - Identification of high transverse momentum top quarks in pp collisions at root s=8 TeV with the ATLAS detector T2 - J. High Energy Phys. JO - Journal of High Energy Physics SP - 093 EP - 81pp VL - 06 IS - 6 PB - Springer KW - Hadron-Hadron scattering (experiments) AB - This paper presents studies of the performance of several jet-substructure techniques, which are used to identify hadronically decaying top quarks with high transverse momentum contained in large-radius jets. The efficiency of identifying top quarks is measured using a sample of top-quark pairs and the rate of wrongly identifying jets from other quarks or gluons as top quarks is measured using multijet events collected with the ATLAS experiment in 20.3 fb(-1) of 8TeV proton-proton collisions at the Large Hadron Collider. Predictions from Monte Carlo simulations are found to provide an accurate description of the performance. The techniques are compared in terms of signal efficiency and background rejection using simulations, covering a larger range in jet transverse momenta than accessible in the dataset. Additionally, a novel technique is developed that is optimized to reconstruct top quarks in events with many jets. SN - 1029-8479 UR - http://arxiv.org/abs/1603.03127 UR - https://doi.org/10.1007/JHEP06(2016)093 DO - 10.1007/JHEP06(2016)093 LA - English N1 - WOS:000379177300001 ID - ATLASCollaborationAad_etal2016 ER -