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Particle Track Estimation
In this report, we formulate the problem of reconstructing charged particles using hits from a detector, and we assess the performance of the Hough Transform algorithm, which was implemented from scratch. A comparison is made with the results from both the ideal and realistic datasets and Machine L...
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| Lenguaje: | eng |
| Publicado: |
2021
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| Acceso en línea: | http://cds.cern.ch/record/2781412 |
| _version_ | 1780971941903990784 |
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| author | Spanopoulos, Andreas Theologos |
| author_facet | Spanopoulos, Andreas Theologos |
| author_sort | Spanopoulos, Andreas Theologos |
| collection | CERN |
| description | In this report, we formulate the problem of reconstructing charged particles using hits from a detector, and we assess the performance of the Hough Transform algorithm, which was implemented from scratch. A comparison is made with the results from both the ideal and realistic datasets and Machine Learning based methods are discussed in order to enhance our predictions, thus setting a strong baseline for the solution of this problem. |
| id | cern-2781412 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2021 |
| record_format | invenio |
| spelling | cern-27814122021-09-17T23:42:01Zhttp://cds.cern.ch/record/2781412engSpanopoulos, Andreas TheologosParticle Track EstimationComputing and ComputersDetectors and Experimental TechniquesIn this report, we formulate the problem of reconstructing charged particles using hits from a detector, and we assess the performance of the Hough Transform algorithm, which was implemented from scratch. A comparison is made with the results from both the ideal and realistic datasets and Machine Learning based methods are discussed in order to enhance our predictions, thus setting a strong baseline for the solution of this problem.CERN-STUDENTS-Note-2021-167oai:cds.cern.ch:27814122021-09-17 |
| spellingShingle | Computing and Computers Detectors and Experimental Techniques Spanopoulos, Andreas Theologos Particle Track Estimation |
| title | Particle Track Estimation |
| title_full | Particle Track Estimation |
| title_fullStr | Particle Track Estimation |
| title_full_unstemmed | Particle Track Estimation |
| title_short | Particle Track Estimation |
| title_sort | particle track estimation |
| topic | Computing and Computers Detectors and Experimental Techniques |
| url | http://cds.cern.ch/record/2781412 |
| work_keys_str_mv | AT spanopoulosandreastheologos particletrackestimation |