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Development of Pattern Recognition Algorithms for the Central Drift Chamber of the Belle II Detector

Trusov, Viktor

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 Institut für Experimentelle Kernphysik (IEKP)
Publikationstyp Hochschulschrift
Jahr 2016
Sprache Englisch
Identifikator DOI(KIT): 10.5445/IR/1000063754
URN: urn:nbn:de:swb:90-637549
KITopen ID: 1000063754
Verlag Karlsruhe
Umfang III, 111 S.
Abschlussart Dissertation
Fakultät Fakultät für Physik (PHYSIK)
Institut Institut für Experimentelle Kernphysik (IEKP)
Prüfungsdaten 04.11.2016
Referent/Betreuer Prof. M. Feindt
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