Real-Time Data Processing Pipeline for Trigger Readout Board-Based Data Acquisition Systems

Large-scale physics experiments running at high interaction rates place a high demand on the data acquisition system (DAQ) responsible for transporting the data from the detector to the storage. The antiProton ANihilation at DArmstadt (PANDA) at the facility for anti-proton and ion research (FAIR) i...

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Bibliographic Details
Published in:IEEE transactions on nuclear science 2022-07, Vol.69 (7), p.1765-1772
Main Authors: Malige, A., Korcyl, G., Firlej, M., Fiutowski, T., Idzik, M., Korzeniak, B., Lalik, R., Misiak, A., Molenda, A., Moron, J., Rathod, N., Salabura, P., Smyrski, J., Swientek, K., Wintz, P.
Format: Article
Language:English
Subjects:
Anodes
Antiparticles
Antiprotons
Data acquisition
Data acquisition systems (DAQs)
Data processing
Detectors
Feature extraction
Firmware
Hardware
Pipelines
Read out systems
Real time
real-time data processing
Real-time systems
Subsystems
tracking detectors
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Summary:Large-scale physics experiments running at high interaction rates place a high demand on the data acquisition system (DAQ) responsible for transporting the data from the detector to the storage. The antiProton ANihilation at DArmstadt (PANDA) at the facility for anti-proton and ion research (FAIR) is one such experiment of the future that will not use fixed hardware triggers; instead, the event selection is based on real-time feature extraction, filtering, and high-level correlations. A firmware framework for such real-time data processing has been developed and tested with hardware setup for a PANDA Forward Tracker (FT) prototype. The solution is applicable for other detector subsystems based on the so-called Trigger Readout Board (TRB) data read-out system.
ISSN:0018-9499
1558-1578
DOI:10.1109/TNS.2022.3186157