Particle Trajectory Visualization and Identification with Timepix Detectors

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The TimePix detector is a largely passive detector deployed at point 8 on the Large Hadron Collider (LHC) ring. It is able to detect different kinds of radiation in real time. Energy deposits in the detector is registered as signal describing the spacial trajectories of passing particles. The signal...

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Autores principales: Flores, Jessica, Baines, Stephanie, Shaa, Ameir
Lenguaje:eng
Publicado: 2016
Materias:
Education and Outreach
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/2206437
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author Flores, Jessica
Baines, Stephanie
Shaa, Ameir
author_facet Flores, Jessica
Baines, Stephanie
Shaa, Ameir
author_sort Flores, Jessica
collection CERN
description The TimePix detector is a largely passive detector deployed at point 8 on the Large Hadron Collider (LHC) ring. It is able to detect different kinds of radiation in real time. Energy deposits in the detector is registered as signal describing the spacial trajectories of passing particles. The signal data is analysed and classified in order to understand the types of particle interactions occurring and identify anomalous occurrences. Using topological features if trajectories described by the data and one or more related features of said topology, the data was categorized using an algorithm to an efficiency of 85%.
id cern-2206437
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
record_format invenio
spelling cern-22064372019-09-30T06:29:59Zhttp://cds.cern.ch/record/2206437engFlores, JessicaBaines, StephanieShaa, AmeirParticle Trajectory Visualization and Identification with Timepix DetectorsEducation and OutreachDetectors and Experimental TechniquesThe TimePix detector is a largely passive detector deployed at point 8 on the Large Hadron Collider (LHC) ring. It is able to detect different kinds of radiation in real time. Energy deposits in the detector is registered as signal describing the spacial trajectories of passing particles. The signal data is analysed and classified in order to understand the types of particle interactions occurring and identify anomalous occurrences. Using topological features if trajectories described by the data and one or more related features of said topology, the data was categorized using an algorithm to an efficiency of 85%.CERN-STUDENTS-Note-2016-029oai:cds.cern.ch:22064372016-08-05
spellingShingle Education and Outreach
Detectors and Experimental Techniques
Flores, Jessica
Baines, Stephanie
Shaa, Ameir
Particle Trajectory Visualization and Identification with Timepix Detectors
title Particle Trajectory Visualization and Identification with Timepix Detectors
title_full Particle Trajectory Visualization and Identification with Timepix Detectors
title_fullStr Particle Trajectory Visualization and Identification with Timepix Detectors
title_full_unstemmed Particle Trajectory Visualization and Identification with Timepix Detectors
title_short Particle Trajectory Visualization and Identification with Timepix Detectors
title_sort particle trajectory visualization and identification with timepix detectors
topic Education and Outreach
Detectors and Experimental Techniques
url http://cds.cern.ch/record/2206437
work_keys_str_mv AT floresjessica particletrajectoryvisualizationandidentificationwithtimepixdetectors
AT bainesstephanie particletrajectoryvisualizationandidentificationwithtimepixdetectors
AT shaaameir particletrajectoryvisualizationandidentificationwithtimepixdetectors

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