13-19 May 2018
Venice, Italy
Europe/Zurich timezone
The organisers warmly thank all participants for such a lively QM2018! See you in China in 2019!

The free-streaming data acquisition system for the Compressed Baryonic Matter experiment at FAIR

15 May 2018, 17:00
2h 40m
First floor and third floor (Palazzo del Casinò)

First floor and third floor

Palazzo del Casinò

Poster Future facilities, upgrades and instrumentation Poster Session


Dr David Emschermann (GSI)


The Compressed Baryonic Matter experiment (CBM) will be based at the new Facility for Antiproton and Ion Research (FAIR), which will deliver heavy-ion beams up to energies of 14 AGeV. In nucleus-nucleus collisions at these beam energies strongly interacting matter with densities up to 10 times normal nuclear matter is expected to be produced. The key objective of CBM is to investigate the QCD phase diagram in the region of high baryon-densities, where a first order phase transition from hadronic to partonic matter as well as a chiral phase transition is expected to occur, representing a substantial discovery potential at FAIR energies. As a fixed-target experiment CBM is consequently designed to cope with very high interaction rates up to 10 MHz. This will allow to perform high precision measurements of extremely rare probes which have not been accessible by previous nucleus-nucleus experiments in this energy regime. To achieve the high rate capability CBM will be equipped with fast and radiation hard detectors employing free-streaming readout electronics. A prototype high performance Data Aquisition (DAQ) system is currently being built for mini-CBM (mCBM). The mCBM setup is scaled down from the full CBM experiment. Already by summer 2018, it will serve as development platform for a high rate system test of the detector systems, the free-streaming readout chain, the online time-slice building and online event selection in the First Level Event Selector (FLES). We will report on the concept and status of the CBM DAQ system.

Collaboration CBM
Centralised submission by Collaboration Presenter name already specified
Content type Experiment

Primary author

Presentation Materials

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