Development of Pattern Recognition Algorithms for the Central Drift Chamber of the Belle II Detector
Abstract:
In this thesis, the development of one of the pattern recognition algorithms for the Belle II experiment based on conformal and Legendre transformations is presented. In order to optimize the performance of the algorithm (CPU time and efficiency) specialized processing steps have been introduced. To show achieved results, Monte-Carlo based efficiency measurements of the tracking algorithms in the Central Drift Chamber (CDC) has been done.
| Zugehörige Institution(en) am KIT | Fakultät für Physik – Institut für Experimentelle Kernphysik (IEKP) |
| Publikationstyp | Hochschulschrift |
| Publikationsjahr | 2016 |
| Sprache | Englisch |
| Identifikator | urn:nbn:de:swb:90-637549 KITopen-ID: 1000063754 |
| Verlag | Karlsruher Institut für Technologie (KIT) |
| Umfang | III, 111 S. |
| Art der Arbeit | Dissertation |
| Fakultät | Fakultät für Physik (PHYSIK) |
| Institut | Fakultät für Physik – Institut für Experimentelle Kernphysik (IEKP) |
| Prüfungsdaten | 04.11.2016 |
| Referent/Betreuer | Feindt, M. |