Hamburg 2016 – scientific programme

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T: Fachverband Teilchenphysik

T 73: Spurkammern

T 73.8: Talk

Wednesday, March 2, 2016, 18:35–18:50, VMP8 SR 05

Recent developments for the pattern recognition in the Central Drift Chamber of the Belle II detector — •Viktor Trusov, Michael Feindt, Martin Heck, Thomas Hauth und Pablo Goldenzweig für die Belle II Kollaboration — Karlsruhe Institute of Technology

The Belle II experiment is designed to perform more precise measurements (e.g. CP-violation measurements, New Physics phenomena, rare decays etc) than its predecessor, the Belle experiment. To achieve this goal, the luminosity of the experiment will be increased by a factor of 40 and as result multiple times more data will be collected. Due to this fact, faster reconstruction algorithms for the data processing need to be developed and at the same time accurate physical results should be retained. One important part in the data processing chain is the track reconstruction section.

We present the development of one of the pattern recognition algorithms for the Belle II experiment based on conformal and Legendre transformations. In order to optimize the performance of the algorithm (CPU time and efficiency) we have introduced specialized processing steps. To show improvements in the results we introduce efficiency measurements of the tracking algorithms in the Central Drift Chamber (CDC) which were done using Monte-Carlo simulation of e⁺ e⁻ collisions followed by a full simulation of the Belle II detector.