Stellenangebote

Track reconstruction in high particle multiplicity environments is one of the most challenging tasks in modern particle physics experiments. Typically, a combination of complex algorithms and track fits is used to tackle this challenge. For tracking fitting, usually the Kalman filter is used. The Kalman filter, however, is an iterative algorithm and can not be parallised, which makes it very difficult to profit from modern computing architectures which are based on parallelisation.

Our group has developed a new track fit, the General Triplet Track Fit (GTTF), which can be parallelised too a large degree and be implemented on parallel architectures like Graphics Processor Units (GPUs) and Field Programmable Gate Arrays (FPGAs). We plan to use the GTTF for several applications and are looking for students to study the performance gain.