Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2

With the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13 TeV for Run 2, events with dense environments, such as in the cores of high-energy jets, became a focus for new physics searches as well as measurements of the Standard Model. These environments are characteriz...

Descripción completa

Guardado en:
Detalles Bibliográficos
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:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/87694
Aporte de:
id I19-R120-10915-87694
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
Large Hadron Collider
ATLAS experiment
spellingShingle Ciencias Exactas
Física
Large Hadron Collider
ATLAS experiment
Alconada Verzini, María Josefina
Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Hoya, Joaquín
Monticelli, Fernando Gabriel
Wahlberg, Hernán Pablo
The ATLAS Collaboration
Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2
topic_facet Ciencias Exactas
Física
Large Hadron Collider
ATLAS experiment
description With the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13 TeV for Run 2, events with dense environments, such as in the cores of high-energy jets, became a focus for new physics searches as well as measurements of the Standard Model. These environments are characterized by charged-particle separations of the order of the tracking detectors sensor granularity. Basic track quantities are compared between 3.2 fb<sup>-1</sup> of data collected by the ATLAS experiment and simulation of proton–proton collisions producing high-transverse-momentum jets at a centre-of-mass energy of 13 TeV. The impact of charged-particle separations and multiplicities on the track reconstruction performance is discussed. The track reconstruction efficiency in the cores of jets with transverse momenta between 200 and 1600 GeV is quantified using a novel, data-driven, method. The method uses the energy loss, dE/dx, to identify pixel clusters originating from two charged particles. Of the charged particles creating these clusters, the measured fraction that fail to be reconstructed is 0.061 ± 0.006(stat.) ± 0.014(syst.) and 0.093 ± 0.017(stat.) ± 0.021(syst.) for jet transverse momenta of 200–400 GeV and 1400–1600 GeV , respectively.
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 Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2
title_short Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2
title_full Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2
title_fullStr Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2
title_full_unstemmed Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2
title_sort performance of the atlas track reconstruction algorithms in dense environments in lhc run 2
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/87694
work_keys_str_mv AT alconadaverzinimariajosefina performanceoftheatlastrackreconstructionalgorithmsindenseenvironmentsinlhcrun2
AT alonsofrancisco performanceoftheatlastrackreconstructionalgorithmsindenseenvironmentsinlhcrun2
AT arduhfranciscoanuar performanceoftheatlastrackreconstructionalgorithmsindenseenvironmentsinlhcrun2
AT dovamariateresa performanceoftheatlastrackreconstructionalgorithmsindenseenvironmentsinlhcrun2
AT hoyajoaquin performanceoftheatlastrackreconstructionalgorithmsindenseenvironmentsinlhcrun2
AT monticellifernandogabriel performanceoftheatlastrackreconstructionalgorithmsindenseenvironmentsinlhcrun2
AT wahlberghernanpablo performanceoftheatlastrackreconstructionalgorithmsindenseenvironmentsinlhcrun2
AT theatlascollaboration performanceoftheatlastrackreconstructionalgorithmsindenseenvironmentsinlhcrun2
bdutipo_str Repositorios
_version_ 1764820489297985537