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

The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W bosons in pp collisions at 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 o...

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Detalles Bibliográficos
Autores principales: Alconada Verzini, María Josefina, Alonso, Francisco, Arduh, Francisco Anuar, Dova, María Teresa, Hoya, Joaquín, Monticelli, Fernando Gabriel, Orellana, Gonzalo Enrique, Wahlberg, Hernán Pablo, The ATLAS Collaboration
Formato: Articulo
Lenguaje:Inglés
Publicado: 2019
Materias:
Física
Particle physics
Physics
Jet (particle physics)
Top quark
Atlas (anatomy)
Atlas experiment
Particle identification
Quark
Boson
Large hadron collider
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/124624
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-124624
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Física
Particle physics
Physics
Jet (particle physics)
Top quark
Atlas (anatomy)
Atlas experiment
Particle identification
Quark
Boson
Large hadron collider
spellingShingle Física
Particle physics
Physics
Jet (particle physics)
Top quark
Atlas (anatomy)
Atlas experiment
Particle identification
Quark
Boson
Large hadron collider
Alconada Verzini, María Josefina
Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Hoya, Joaquín
Monticelli, Fernando Gabriel
Orellana, Gonzalo Enrique
Wahlberg, Hernán Pablo
The ATLAS Collaboration
Performance of top-quark and W -boson tagging with ATLAS in Run 2 of the LHC
topic_facet Física
Particle physics
Physics
Jet (particle physics)
Top quark
Atlas (anatomy)
Atlas experiment
Particle identification
Quark
Boson
Large hadron collider
description The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W bosons in pp collisions at 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 tt¯ and γ+ jet and 36.7 fb - 1 for the dijet event topologies. © 2019, CERN for the benefit of the ATLAS collaboration.
format Articulo
Articulo
author Alconada Verzini, María Josefina
Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Hoya, Joaquín
Monticelli, Fernando Gabriel
Orellana, Gonzalo Enrique
Wahlberg, Hernán Pablo
The ATLAS Collaboration
author_facet Alconada Verzini, María Josefina
Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Hoya, Joaquín
Monticelli, Fernando Gabriel
Orellana, Gonzalo Enrique
Wahlberg, Hernán Pablo
The ATLAS Collaboration
author_sort Alconada Verzini, María Josefina
title Performance of top-quark and W -boson tagging with ATLAS in Run 2 of the LHC
title_short Performance of top-quark and W -boson tagging with ATLAS in Run 2 of the LHC
title_full Performance of top-quark and W -boson tagging with ATLAS in Run 2 of the LHC
title_fullStr Performance of top-quark and W -boson tagging with ATLAS in Run 2 of the LHC
title_full_unstemmed Performance of top-quark and W -boson tagging with ATLAS in Run 2 of the LHC
title_sort performance of top-quark and w -boson tagging with atlas in run 2 of the lhc
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/124624
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