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Improved Performance of Line Segment Tracking Using Machine Learning

This note documents the performance of the Line Segment Tracking (LST) algorithm with a new addi- tion of a lightweight DNN for classifying real versus fake tracks in the outer tracker. The performance of LST is compared before and after the addition of the DNN. Performance is also compared after in...

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Autor principal: CMS Collaboration
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:http://cds.cern.ch/record/2872904
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author CMS Collaboration
author_facet CMS Collaboration
author_sort CMS Collaboration
collection CERN
description This note documents the performance of the Line Segment Tracking (LST) algorithm with a new addi- tion of a lightweight DNN for classifying real versus fake tracks in the outer tracker. The performance of LST is compared before and after the addition of the DNN. Performance is also compared after integration with CMSSW.
id cern-2872904
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2023
record_format invenio
spelling cern-28729042023-10-02T21:05:10Zhttp://cds.cern.ch/record/2872904engCMS CollaborationImproved Performance of Line Segment Tracking Using Machine LearningDetectors and Experimental TechniquesThis note documents the performance of the Line Segment Tracking (LST) algorithm with a new addi- tion of a lightweight DNN for classifying real versus fake tracks in the outer tracker. The performance of LST is compared before and after the addition of the DNN. Performance is also compared after integration with CMSSW.CMS-DP-2023-075CERN-CMS-DP-2023-075oai:cds.cern.ch:28729042023-09-27
spellingShingle Detectors and Experimental Techniques
CMS Collaboration
Improved Performance of Line Segment Tracking Using Machine Learning
title Improved Performance of Line Segment Tracking Using Machine Learning
title_full Improved Performance of Line Segment Tracking Using Machine Learning
title_fullStr Improved Performance of Line Segment Tracking Using Machine Learning
title_full_unstemmed Improved Performance of Line Segment Tracking Using Machine Learning
title_short Improved Performance of Line Segment Tracking Using Machine Learning
title_sort improved performance of line segment tracking using machine learning
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/2872904
work_keys_str_mv AT cmscollaboration improvedperformanceoflinesegmenttrackingusingmachinelearning