Performance of b-jet identification in the ATLAS experiment

The identification of jets containing b hadrons is important for the physics programme of the ATLAS experiment at the Large Hadron Collider. Several algorithms to identify jets containing b hadrons are described, ranging from those based on the reconstruction of an inclusive secondary vertex or the...

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Detalles Bibliográficos
Autores principales: Alconada Verzini, María Josefina, Alonso, Francisco, Arduh, Francisco Anuar, Dova, María Teresa, Monticelli, Fernando Gabriel, Wahlberg, Hernán Pablo, The ATLAS Collaboration
Formato: Articulo
Lenguaje:Inglés
Publicado: 2016
Materias:
Física
Large detector systems for particle and astroparticle physics
Large detector-systems performance
Pattern recognition, cluster finding, calibration and fitting methods
Performance of High Energy Physics Detectors
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/86219
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-86219
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Física
Large detector systems for particle and astroparticle physics
Large detector-systems performance
Pattern recognition, cluster finding, calibration and fitting methods
Performance of High Energy Physics Detectors
spellingShingle Física
Large detector systems for particle and astroparticle physics
Large detector-systems performance
Pattern recognition, cluster finding, calibration and fitting methods
Performance of High Energy Physics Detectors
Alconada Verzini, María Josefina
Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Monticelli, Fernando Gabriel
Wahlberg, Hernán Pablo
The ATLAS Collaboration
Performance of b-jet identification in the ATLAS experiment
topic_facet Física
Large detector systems for particle and astroparticle physics
Large detector-systems performance
Pattern recognition, cluster finding, calibration and fitting methods
Performance of High Energy Physics Detectors
description The identification of jets containing b hadrons is important for the physics programme of the ATLAS experiment at the Large Hadron Collider. Several algorithms to identify jets containing b hadrons are described, ranging from those based on the reconstruction of an inclusive secondary vertex or the presence of tracks with large impact parameters to combined tagging algorithms making use of multi-variate discriminants. An independent b-tagging algorithm based on the reconstruction of muons inside jets as well as the b-tagging algorithm used in the online trigger are also presented. The b-jet tagging efficiency, the c-jet tagging efficiency and the mistag rate for light flavour jets in data have been measured with a number of complementary methods. The calibration results are presented as scale factors defined as the ratio of the efficiency (or mistag rate) in data to that in simulation. In the case of b jets, where more than one calibration method exists, the results from the various analyses have been combined taking into account the statistical correlation as well as the correlation of the sources of systematic uncertainty.
format Articulo
Articulo
author Alconada Verzini, María Josefina
Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Monticelli, Fernando Gabriel
Wahlberg, Hernán Pablo
The ATLAS Collaboration
author_facet Alconada Verzini, María Josefina
Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Monticelli, Fernando Gabriel
Wahlberg, Hernán Pablo
The ATLAS Collaboration
author_sort Alconada Verzini, María Josefina
title Performance of b-jet identification in the ATLAS experiment
title_short Performance of b-jet identification in the ATLAS experiment
title_full Performance of b-jet identification in the ATLAS experiment
title_fullStr Performance of b-jet identification in the ATLAS experiment
title_full_unstemmed Performance of b-jet identification in the ATLAS experiment
title_sort performance of b-jet identification in the atlas experiment
publishDate 2016
url http://sedici.unlp.edu.ar/handle/10915/86219
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