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Variable Scanning for Physics Efficiency Improvement in Upstream Tracking and Trackmatching Validation Algorithms in the Allen Framework

This document summarizes the work done of the Upstream Tracking (UTStandalone Sequence) and the Trackmatching Validation (trackmatching_validation sequence) in the Allen framework. “UTStandalone” and “Track Matching” validation algorithms to improve the physics performance running on CPU using the A...

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Autor principal: Rodriguez Alas, Mauricio Ernesto
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:http://cds.cern.ch/record/2790691
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author Rodriguez Alas, Mauricio Ernesto
author_facet Rodriguez Alas, Mauricio Ernesto
author_sort Rodriguez Alas, Mauricio Ernesto
collection CERN
description This document summarizes the work done of the Upstream Tracking (UTStandalone Sequence) and the Trackmatching Validation (trackmatching_validation sequence) in the Allen framework. “UTStandalone” and “Track Matching” validation algorithms to improve the physics performance running on CPU using the Allen framework. Variable scanning and implementation of modified sequences and algorithms were implemented, to scan through multiple variables and find the optimal efficiency points while reducing reconstruction ghost rates i.e. fake tracks. Most of the optimization was focused on the Long tracks and Long high momentum (>5 GeV), and the reconstruction without the Velo tracker.
id cern-2790691
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
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spelling cern-27906912021-11-16T19:52:08Zhttp://cds.cern.ch/record/2790691engRodriguez Alas, Mauricio ErnestoVariable Scanning for Physics Efficiency Improvement in Upstream Tracking and Trackmatching Validation Algorithms in the Allen FrameworkPhysics in GeneralThis document summarizes the work done of the Upstream Tracking (UTStandalone Sequence) and the Trackmatching Validation (trackmatching_validation sequence) in the Allen framework. “UTStandalone” and “Track Matching” validation algorithms to improve the physics performance running on CPU using the Allen framework. Variable scanning and implementation of modified sequences and algorithms were implemented, to scan through multiple variables and find the optimal efficiency points while reducing reconstruction ghost rates i.e. fake tracks. Most of the optimization was focused on the Long tracks and Long high momentum (>5 GeV), and the reconstruction without the Velo tracker.CERN-STUDENTS-Note-2021-243oai:cds.cern.ch:27906912021-11-16
spellingShingle Physics in General
Rodriguez Alas, Mauricio Ernesto
Variable Scanning for Physics Efficiency Improvement in Upstream Tracking and Trackmatching Validation Algorithms in the Allen Framework
title Variable Scanning for Physics Efficiency Improvement in Upstream Tracking and Trackmatching Validation Algorithms in the Allen Framework
title_full Variable Scanning for Physics Efficiency Improvement in Upstream Tracking and Trackmatching Validation Algorithms in the Allen Framework
title_fullStr Variable Scanning for Physics Efficiency Improvement in Upstream Tracking and Trackmatching Validation Algorithms in the Allen Framework
title_full_unstemmed Variable Scanning for Physics Efficiency Improvement in Upstream Tracking and Trackmatching Validation Algorithms in the Allen Framework
title_short Variable Scanning for Physics Efficiency Improvement in Upstream Tracking and Trackmatching Validation Algorithms in the Allen Framework
title_sort variable scanning for physics efficiency improvement in upstream tracking and trackmatching validation algorithms in the allen framework
topic Physics in General
url http://cds.cern.ch/record/2790691
work_keys_str_mv AT rodriguezalasmauricioernesto variablescanningforphysicsefficiencyimprovementinupstreamtrackingandtrackmatchingvalidationalgorithmsintheallenframework