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The Open Data Detector Tracking System

Charged particle reconstruction in High Energy Physics experiments is a significant part of overall event reconstruction. Depending on the physics environment, for instance in collider experiments with high multiplicities or luminosities, the tracking problem increases in complexity and often poses...

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Detalles Bibliográficos
Autores principales: Gessinger-Befurt, Paul, Salzburger, Andreas, Niermann, Joana
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/2438/1/012110
http://cds.cern.ch/record/2869673
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author Gessinger-Befurt, Paul
Salzburger, Andreas
Niermann, Joana
author_facet Gessinger-Befurt, Paul
Salzburger, Andreas
Niermann, Joana
author_sort Gessinger-Befurt, Paul
collection CERN
description Charged particle reconstruction in High Energy Physics experiments is a significant part of overall event reconstruction. Depending on the physics environment, for instance in collider experiments with high multiplicities or luminosities, the tracking problem increases in complexity and often poses not only an algorithmic, but also a computational challenge. With the high-luminosity phase of the LHC at CERN approaching, research for new approaches and algorithms for track reconstruction has seen an increased interest. Both new technological approaches like hardware accelerators, as well as machine learning are being developed. However, testing and developing these new approaches against the existing experiments’ software stacks can prove to be challenging, as they typically focus on stable data taking, discouraging disruptive changes. This document presents a virtual tracking detector that is designed to be a simplified, but realistic model of a real-world detector, that can serve as a robust testbed for new developments.
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spelling cern-28696732023-09-08T19:08:30Zdoi:10.1088/1742-6596/2438/1/012110http://cds.cern.ch/record/2869673engGessinger-Befurt, PaulSalzburger, AndreasNiermann, JoanaThe Open Data Detector Tracking SystemDetectors and Experimental TechniquesComputing and ComputersCharged particle reconstruction in High Energy Physics experiments is a significant part of overall event reconstruction. Depending on the physics environment, for instance in collider experiments with high multiplicities or luminosities, the tracking problem increases in complexity and often poses not only an algorithmic, but also a computational challenge. With the high-luminosity phase of the LHC at CERN approaching, research for new approaches and algorithms for track reconstruction has seen an increased interest. Both new technological approaches like hardware accelerators, as well as machine learning are being developed. However, testing and developing these new approaches against the existing experiments’ software stacks can prove to be challenging, as they typically focus on stable data taking, discouraging disruptive changes. This document presents a virtual tracking detector that is designed to be a simplified, but realistic model of a real-world detector, that can serve as a robust testbed for new developments.oai:cds.cern.ch:28696732023
spellingShingle Detectors and Experimental Techniques
Computing and Computers
Gessinger-Befurt, Paul
Salzburger, Andreas
Niermann, Joana
The Open Data Detector Tracking System
title The Open Data Detector Tracking System
title_full The Open Data Detector Tracking System
title_fullStr The Open Data Detector Tracking System
title_full_unstemmed The Open Data Detector Tracking System
title_short The Open Data Detector Tracking System
title_sort open data detector tracking system
topic Detectors and Experimental Techniques
Computing and Computers
url https://dx.doi.org/10.1088/1742-6596/2438/1/012110
http://cds.cern.ch/record/2869673
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