Jet reconstruction and performance using particle flow with the ATLAS Detector

This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb-1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, inst...

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Autores principales: Alconada Verzini, María Josefina, Alonso, Francisco, Arduh, Francisco Anuar, Dova, María Teresa, Hoya, Joaquín, Monticelli, Fernando Gabriel, Wahlberg, Hernán Pablo, The ATLAS Collaboration
Formato: Articulo
Lenguaje:Inglés
Publicado: 2017
Materias:
Ciencias Exactas
Física
jet energy
flow algorithm
ATLAS detector
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/81892
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-81892
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Exactas
Física
jet energy
flow algorithm
ATLAS detector
spellingShingle Ciencias Exactas
Física
jet energy
flow algorithm
ATLAS detector
Alconada Verzini, María Josefina
Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Hoya, Joaquín
Monticelli, Fernando Gabriel
Wahlberg, Hernán Pablo
The ATLAS Collaboration
Jet reconstruction and performance using particle flow with the ATLAS Detector
topic_facet Ciencias Exactas
Física
jet energy
flow algorithm
ATLAS detector
description This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb-1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability.
format Articulo
Articulo
author Alconada Verzini, María Josefina
Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Hoya, Joaquín
Monticelli, Fernando Gabriel
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
Wahlberg, Hernán Pablo
The ATLAS Collaboration
author_sort Alconada Verzini, María Josefina
title Jet reconstruction and performance using particle flow with the ATLAS Detector
title_short Jet reconstruction and performance using particle flow with the ATLAS Detector
title_full Jet reconstruction and performance using particle flow with the ATLAS Detector
title_fullStr Jet reconstruction and performance using particle flow with the ATLAS Detector
title_full_unstemmed Jet reconstruction and performance using particle flow with the ATLAS Detector
title_sort jet reconstruction and performance using particle flow with the atlas detector
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/81892
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