Flavio Pisani: DAQ-filtering data from 50 TB/s to ~1 GB/s

31/2-029 (CERN)



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Kristina Gunne (CERN)


A large experiment in the High Energy Physics (HEP) domain can produce an enormous amount of data with very high data rates. The process of safely moving the physically relevant part of the data produced to long term storage is referred to as data acquisition (DAQ) and trigger. This talk will provide an overview of this complex and heterogeneous world with a particular focus on the Physics rationale behind the data selection, the multi-level process of selecting the relevant data, the network infrastructure needed to distribute such a large data rate. An overview of some of the LHC experiments’ DAQ and trigger systems will be provided to analyse real systems capable of reducing the data rate from ~50 TB/s to ~1 GB/s preserving as much as possible the Physics relevant data.


Flavio Pisani is a senior fellow at CERN. He is a member of the online team of the LHCb experiment. He is a physicist specialized in data acquisition systems and high throughput interconnection technologies. The beginning of his academic studies is at the University of Rome "La Sapienza", where he completed a B.Sc. and an M.Sc. He completed his educational path at the University of Bologna “Alma Mater Studiorum”, where he obtained a PhD in Physics. During his studies, he collaborated with the LHCb experiment, which allowed him to gain field experience on cutting-edge network technologies applied to DAQ systems. Over the years, this collaboration evolved into the present state. Currently, he is part of the team responsible for the new DAQ of the LHCb experiment, which will allow unprecedented data rates for a large collider experiment.

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