CERN School of Computing 2013
19-30 August, Nicosia, Cyprus

 
LETTENBICHLER Jakob HEPHY, Vienna - Austria
  I am working on a track finding module specialized for low momentum tracks in the Silicon Vertex Detector (a double-sided strip detector) of the Belle II experiment (Tsukuba, Japan). Transverse momenta (pT) down to 50 MeV/c (high deviations due to material effects) shall be reconstructed and only a small number of layers are available (3-4 layers depending on pT), while facing considerable background, mainly Bhabha-Scattering and Touschek effect. We plan to deal with it by combining 3 different techniques: a Cellular Automaton produces track candidates (TCs) which are filtered by a Kalman filter which calculates quality indicators for each TC. These quality indicators are used by a neuronal network of Hopfield type to determine a reasonable set of TCs which do not share hits. I am currently working using linux (ubuntu) and am familiar with Microsoft Windows too. C++ and Python are the languages I use most. Basic knowledge for C and Octave (Matlab) does exist too.

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