Journal Article

FZJ-2022-04671

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Real-Time Data Processing Pipeline for Trigger Readout Board-Based Data Acquisition Systems

Malige, A. (Corresponding author) ; 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.FZJ*

2022
IEEE New York, NY

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Please use a persistent id in citations: doi:10.1109/TNS.2022.3186157

Abstract: 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.

Note: Post-print ist nicht vorhanden.

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Contributing Institute(s):

1. Experimentelle Hadronstruktur (IKP-1)

Research Program(s):

1. 622 - Detector Technologies and Systems (POF4-622) (POF4-622)

Appears in the scientific report 2022

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Database coverage:
; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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