| Description: | Particle accelerators at CERN produce a high number of so-called events, describing the collision products and its properties. Events of interest are currently recognized by a rule-based system. The task is to recognize the events of interest automatically using the techniques of machine learning, and possibly deep learning, and thus increase the ratio of correctly identified events. The project is a part of the effort to analyse the properties of the Higgs boson, Simulated data are available.
The project offers the possibility to be part of an international collaboration with travel to CERN. |
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