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Development of ATLAS Primary Vertex Reconstruction for LHC Run 3

Increasing luminosity at the Large Hadron Collider (LHC) poses a challenge for primary vertex reconstruction in ATLAS. A rate of 70 or more inelastic proton-proton collisions per beam crossing was observed during the recently-completed Run 2 and even higher vertex density, or pile-up, is expected in...

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Autor principal: The ATLAS collaboration
Lenguaje:eng
Publicado: 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2670380
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author The ATLAS collaboration
author_facet The ATLAS collaboration
author_sort The ATLAS collaboration
collection CERN
description Increasing luminosity at the Large Hadron Collider (LHC) poses a challenge for primary vertex reconstruction in ATLAS. A rate of 70 or more inelastic proton-proton collisions per beam crossing was observed during the recently-completed Run 2 and even higher vertex density, or pile-up, is expected in Run 3. To meet this challenge, ATLAS has developed new tools: a Gaussian track density seed finder and an adaptive multi-vertex finder. The former constructs a simple but powerful analytic model of the track density along the beam axis to locate candidate vertices, and the latter applies a global approach to vertex finding and fitting, allowing vertices to compete for nearby tracks. This note documents the strategy, optimization and preliminary performance of this new vertex reconstruction software, highlighting improvements in vertex finding efficiency, purity and spatial resolution under Run 3 pile-up conditions.
id cern-2670380
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
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spelling cern-26703802021-04-18T19:41:11Zhttp://cds.cern.ch/record/2670380engThe ATLAS collaborationDevelopment of ATLAS Primary Vertex Reconstruction for LHC Run 3Particle Physics - ExperimentIncreasing luminosity at the Large Hadron Collider (LHC) poses a challenge for primary vertex reconstruction in ATLAS. A rate of 70 or more inelastic proton-proton collisions per beam crossing was observed during the recently-completed Run 2 and even higher vertex density, or pile-up, is expected in Run 3. To meet this challenge, ATLAS has developed new tools: a Gaussian track density seed finder and an adaptive multi-vertex finder. The former constructs a simple but powerful analytic model of the track density along the beam axis to locate candidate vertices, and the latter applies a global approach to vertex finding and fitting, allowing vertices to compete for nearby tracks. This note documents the strategy, optimization and preliminary performance of this new vertex reconstruction software, highlighting improvements in vertex finding efficiency, purity and spatial resolution under Run 3 pile-up conditions.ATL-PHYS-PUB-2019-015oai:cds.cern.ch:26703802019-04-08
spellingShingle Particle Physics - Experiment
The ATLAS collaboration
Development of ATLAS Primary Vertex Reconstruction for LHC Run 3
title Development of ATLAS Primary Vertex Reconstruction for LHC Run 3
title_full Development of ATLAS Primary Vertex Reconstruction for LHC Run 3
title_fullStr Development of ATLAS Primary Vertex Reconstruction for LHC Run 3
title_full_unstemmed Development of ATLAS Primary Vertex Reconstruction for LHC Run 3
title_short Development of ATLAS Primary Vertex Reconstruction for LHC Run 3
title_sort development of atlas primary vertex reconstruction for lhc run 3
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2670380
work_keys_str_mv AT theatlascollaboration developmentofatlasprimaryvertexreconstructionforlhcrun3