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Studies on algorithms for the reconstruction of tracking particles in 4D for the sub-detector VELO
The second Upgrade of the LHCb experiment will implemented in subsequent years around 2030. Thus, the VELO detector will have to an upgrade with a pos- sible new technology that permits us to measure the positions and travel time of charged particles simultaneously. With this in mind, it is necessar...
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Lenguaje: | eng |
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2019
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Acceso en línea: | http://cds.cern.ch/record/2686729 |
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author | Paye Mamani, Piter A |
author_facet | Paye Mamani, Piter A |
author_sort | Paye Mamani, Piter A |
collection | CERN |
description | The second Upgrade of the LHCb experiment will implemented in subsequent years around 2030. Thus, the VELO detector will have to an upgrade with a pos- sible new technology that permits us to measure the positions and travel time of charged particles simultaneously. With this in mind, it is necessary to make previ- ous studies to see what kind of resolution will have this new detector. In particular, this study examines the potential algorithms that can be used, like for example, DB- SCAN(global algorithm) and Search by Triplet(local algorithm) to reconstruct the trajectory of particles. We make a detailed study on the Search by Triplet algorithm adding the time information. A interpretative study was done at the time informa- tion of the particles. It is found that the efficiency, fake rate, and clone rate of our algorithm can reach until 94%, 8%, 0.7%, respectively, using the Search by Triplet algorithm and the time information. |
id | cern-2686729 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
record_format | invenio |
spelling | cern-26867292019-09-30T06:29:59Zhttp://cds.cern.ch/record/2686729engPaye Mamani, Piter AStudies on algorithms for the reconstruction of tracking particles in 4D for the sub-detector VELOParticle Physics - ExperimentParticle Physics - ExperimentThe second Upgrade of the LHCb experiment will implemented in subsequent years around 2030. Thus, the VELO detector will have to an upgrade with a pos- sible new technology that permits us to measure the positions and travel time of charged particles simultaneously. With this in mind, it is necessary to make previ- ous studies to see what kind of resolution will have this new detector. In particular, this study examines the potential algorithms that can be used, like for example, DB- SCAN(global algorithm) and Search by Triplet(local algorithm) to reconstruct the trajectory of particles. We make a detailed study on the Search by Triplet algorithm adding the time information. A interpretative study was done at the time informa- tion of the particles. It is found that the efficiency, fake rate, and clone rate of our algorithm can reach until 94%, 8%, 0.7%, respectively, using the Search by Triplet algorithm and the time information.CERN-STUDENTS-Note-2019-071oai:cds.cern.ch:26867292019-06-16 |
spellingShingle | Particle Physics - Experiment Particle Physics - Experiment Paye Mamani, Piter A Studies on algorithms for the reconstruction of tracking particles in 4D for the sub-detector VELO |
title | Studies on algorithms for the reconstruction of tracking particles in 4D for the sub-detector VELO |
title_full | Studies on algorithms for the reconstruction of tracking particles in 4D for the sub-detector VELO |
title_fullStr | Studies on algorithms for the reconstruction of tracking particles in 4D for the sub-detector VELO |
title_full_unstemmed | Studies on algorithms for the reconstruction of tracking particles in 4D for the sub-detector VELO |
title_short | Studies on algorithms for the reconstruction of tracking particles in 4D for the sub-detector VELO |
title_sort | studies on algorithms for the reconstruction of tracking particles in 4d for the sub-detector velo |
topic | Particle Physics - Experiment Particle Physics - Experiment |
url | http://cds.cern.ch/record/2686729 |
work_keys_str_mv | AT payemamanipitera studiesonalgorithmsforthereconstructionoftrackingparticlesin4dforthesubdetectorvelo |