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The TICL (v4) reconstruction at the CMS Phase-2 High Granularity Calorimeter Endcap
In this note we show the development and results achieved with the new version of TICL (The Iterative CLustering) (version 4), being developed for particle flow reconstruction in CMS during Phase 2 of the LHC, using the High Granularity Calorimeter (HGCAL). This new version consists in a new longit...
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Lenguaje: | eng |
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2022
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Acceso en línea: | http://cds.cern.ch/record/2839740 |
_version_ | 1780975979780374528 |
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author | CMS Collaboration |
author_facet | CMS Collaboration |
author_sort | CMS Collaboration |
collection | CERN |
description | In this note we show the development and results achieved with the new version of TICL (The Iterative CLustering) (version 4), being developed for particle flow reconstruction in CMS during Phase 2 of the LHC, using the High Granularity Calorimeter (HGCAL).
This new version consists in a new longitudinal pattern recognition algorithm (CLUE3D) for associating 2D layer clusters created by the CLUE clustering algorithm, and in a new linking algorithm that has been developed for connecting together the tracksters obtained by CLUE3D, and improve the Particle Flow reconstruction and interpretation. The new longitudinal pattern recognition algorithm is named CLUE3D, while the linking algorithm uses geometrical association to connect aligned tracksters exploiting energy and timing information to select for compatibility, so as to remove possible spurious links. |
id | cern-2839740 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2022 |
record_format | invenio |
spelling | cern-28397402022-11-07T21:59:38Zhttp://cds.cern.ch/record/2839740engCMS CollaborationThe TICL (v4) reconstruction at the CMS Phase-2 High Granularity Calorimeter EndcapDetectors and Experimental TechniquesIn this note we show the development and results achieved with the new version of TICL (The Iterative CLustering) (version 4), being developed for particle flow reconstruction in CMS during Phase 2 of the LHC, using the High Granularity Calorimeter (HGCAL). This new version consists in a new longitudinal pattern recognition algorithm (CLUE3D) for associating 2D layer clusters created by the CLUE clustering algorithm, and in a new linking algorithm that has been developed for connecting together the tracksters obtained by CLUE3D, and improve the Particle Flow reconstruction and interpretation. The new longitudinal pattern recognition algorithm is named CLUE3D, while the linking algorithm uses geometrical association to connect aligned tracksters exploiting energy and timing information to select for compatibility, so as to remove possible spurious links.CMS-DP-2022-045CERN-CMS-DP-2022-045oai:cds.cern.ch:28397402022-10-26 |
spellingShingle | Detectors and Experimental Techniques CMS Collaboration The TICL (v4) reconstruction at the CMS Phase-2 High Granularity Calorimeter Endcap |
title | The TICL (v4) reconstruction at the CMS Phase-2 High Granularity Calorimeter Endcap |
title_full | The TICL (v4) reconstruction at the CMS Phase-2 High Granularity Calorimeter Endcap |
title_fullStr | The TICL (v4) reconstruction at the CMS Phase-2 High Granularity Calorimeter Endcap |
title_full_unstemmed | The TICL (v4) reconstruction at the CMS Phase-2 High Granularity Calorimeter Endcap |
title_short | The TICL (v4) reconstruction at the CMS Phase-2 High Granularity Calorimeter Endcap |
title_sort | ticl (v4) reconstruction at the cms phase-2 high granularity calorimeter endcap |
topic | Detectors and Experimental Techniques |
url | http://cds.cern.ch/record/2839740 |
work_keys_str_mv | AT cmscollaboration theticlv4reconstructionatthecmsphase2highgranularitycalorimeterendcap AT cmscollaboration ticlv4reconstructionatthecmsphase2highgranularitycalorimeterendcap |