Evolution of the data aggregation concepts for STS readout in the CBM experiment

Abstract The STS detector in the CBM experiment delivers data via multiple e-links connected to GBTX ASICs. In the process of data aggregation, that data must be received, combined into a smaller number of streams, and packed into so-called microslices containing data from specific periods. The aggregation must consider data randomization due to amplitude-dependent processing time in the FEE ASICs and different occupancy of individual e-links. During the development of the STS readout, the continued progress in the available technology affected the requirements for data aggregation, its architecture, and algorithms. The contribution presents considered solutions and discusses their properties.

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Publication Details

Journal
Journal of Instrumentation
Published
2025-03-01
DOI
https://doi.org/10.1088/1748-0221/20/03/c03018
Primary Topic
Advanced Data Storage Technologies
Type
article
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article

Evolution of the data aggregation concepts for STS readout in the CBM experiment

Ryszard S. Romaniuk, Michał Kruszewski, K. Późniak, W. Zabołotny et al.
Journal of Instrumentation
Advanced Data Storage Technologies
article

Evolution of the data aggregation concepts for STS readout in the CBM experiment

Ryszard S. Romaniuk, Michał Kruszewski, K. Późniak, W. Zabołotny, W. F. J. Müller, J. Lehnert, Marek Gumiński, Piotr Miedzik, D. Emschermann
article en

Abstract

Abstract The STS detector in the CBM experiment delivers data via multiple e-links connected to GBTX ASICs. In the process of data aggregation, that data must be received, combined into a smaller number of streams, and packed into so-called microslices containing data from specific periods. The aggregation must consider data randomization due to amplitude-dependent processing time in the FEE ASICs and different occupancy of individual e-links. During the development of the STS readout, the continued progress in the available technology affected the requirements for data aggregation, its architecture, and algorithms. The contribution presents considered solutions and discusses their properties.

Journal of InstrumentationVol. 20(03)
Warsaw University of Technology (PL), GSI Helmholtz Centre for Heavy Ion Research (DE)
Openalex Percentile: Top 96%
Advanced Data Storage Technologies
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