HYPER is a new project aiming at synthesising new hypernuclei by use of antiprotons at the Antimatter Factory of CERN. HYPER aims at the spectroscopy and measurement of the binding energy of 200 hypernuclei. The project is in close collaboration with TU Munich and GSI.

During the thesis, the geometry of the ensemble of detectors will be optimised using neural-network methods and GEANT4 simulations to optimise the invariant mass resolution, detection efficient and background subtraction for hypernuclei events.

A data analysis code will be written to analyse the simulated data in view of the experiment.