Ultra-fast data processing and reconstruction

Experiments both at the energy and the intensity frontier study ever rarer processes in ever larger data sets. This puts enormous demands on data acquisition (DAQ) systems that transport data out of the detectors as well as triggers and filters that identify interesting events in real time. Only the combination of high-performance hardware such as field-programmable gate arrays (FPGAs), fast optical links and graphics processing units (GPUs) with highly optimized algorithms can meet the demands on bandwidth, latency, selectivity and efficiency. The Mainz groups have a broad expertise in the development of DAQ, trigger and filter systems, e.g. by contributing core parts to the ATLAS calorimeter and central trigger or the Mu3e DAQ and filter farm. These systems are continuously developed to meet the ever increasing demands, while at the same time new challenges are tackled e.g. with the DAQ and online filter of the Project 8 neutrino mass experiment. Across all these projects, we profit from a deep pool of experience in key techniques such as FPGA- and GPU- programming as well as excellent infrastructure for the development, production and testing of high- end printed circuit boards (PCBs), clustered in the PRISMA Detector Laboratory.

Parts of the Mu3e Experiment (Photo: N. Berger) ATLAS Experiment (Photo: CERN)