The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W bosons in pp collisions at sqrt(s) = 13 TeV 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 36.1 fb-1 for the ttbar and gamma + jet and 36.7 fb-1 for the dijet event topologies.

Performance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC

G Chiodini;E Gorini;F Gravili;L Longo;A Mirto;M Reale;E Schioppa;S Spagnolo;A Ventura;
2019

Abstract

The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W bosons in pp collisions at sqrt(s) = 13 TeV 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 36.1 fb-1 for the ttbar and gamma + jet and 36.7 fb-1 for the dijet event topologies.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11587/430400
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