Real-time reconstruction of tracks in the Scintillating Fibre Tracker of the LHCb Upgrade

This thesis presents the first study of the performance of real-time reconstruction of tracks in the Scintillating Fibre Tracker detector achievable with the artificial retina algorithm, using fully simulated events at the LHCb Upgrade (LHC Run 4) conditions. This is a crucial milestone on the path...

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Detalles Bibliográficos
Autor principal: Di Luca, Andrea
Lenguaje:eng
Publicado: 2018
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/2649477
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author Di Luca, Andrea
author_facet Di Luca, Andrea
author_sort Di Luca, Andrea
collection CERN
description This thesis presents the first study of the performance of real-time reconstruction of tracks in the Scintillating Fibre Tracker detector achievable with the artificial retina algorithm, using fully simulated events at the LHCb Upgrade (LHC Run 4) conditions. This is a crucial milestone on the path of the realization of the Downstream Tracker processor for the Future Upgrades of the LHCb experiment. Results reported in the thesis show that tracking performance obtainable with this approach is comparable with the offline software reconstruction performance.
id cern-2649477
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
record_format invenio
spelling cern-26494772019-09-30T06:29:59Zhttp://cds.cern.ch/record/2649477engDi Luca, AndreaReal-time reconstruction of tracks in the Scintillating Fibre Tracker of the LHCb UpgradeDetectors and Experimental TechniquesThis thesis presents the first study of the performance of real-time reconstruction of tracks in the Scintillating Fibre Tracker detector achievable with the artificial retina algorithm, using fully simulated events at the LHCb Upgrade (LHC Run 4) conditions. This is a crucial milestone on the path of the realization of the Downstream Tracker processor for the Future Upgrades of the LHCb experiment. Results reported in the thesis show that tracking performance obtainable with this approach is comparable with the offline software reconstruction performance.CERN-THESIS-2018-272etd-09262018-163515oai:cds.cern.ch:26494772018-11-30T15:04:57Z
spellingShingle Detectors and Experimental Techniques
Di Luca, Andrea
Real-time reconstruction of tracks in the Scintillating Fibre Tracker of the LHCb Upgrade
title Real-time reconstruction of tracks in the Scintillating Fibre Tracker of the LHCb Upgrade
title_full Real-time reconstruction of tracks in the Scintillating Fibre Tracker of the LHCb Upgrade
title_fullStr Real-time reconstruction of tracks in the Scintillating Fibre Tracker of the LHCb Upgrade
title_full_unstemmed Real-time reconstruction of tracks in the Scintillating Fibre Tracker of the LHCb Upgrade
title_short Real-time reconstruction of tracks in the Scintillating Fibre Tracker of the LHCb Upgrade
title_sort real-time reconstruction of tracks in the scintillating fibre tracker of the lhcb upgrade
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/2649477
work_keys_str_mv AT dilucaandrea realtimereconstructionoftracksinthescintillatingfibretrackerofthelhcbupgrade

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