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Intel Stratix 10 FPGA design for track reconstruction for the ATLAS experiment at the HL-LHC

The fast reconstruction of charged particle tracks with high efficiency and track quality is an essential part of the online data selection for the ATLAS experiment at the High Luminosity LHC. Dedicated custom designed hardware boards and software simulations have been developed to assess the feasib...

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Main Authors: Camplani, A. (Author) , Dittmeier, Sebastian (Author) , Annovi, A. (Author) , Axiotis, K. (Author) , Beccherle, R. (Author) , Biesuz, N. (Author) , Brenner, R. (Author) , Debieux, S. (Author) , Ellert, M. (Author) , Francavilla, P. (Author) , Giannetti, P. (Author) , Kordas, K. (Author) , Martensson, M. (Author) , Mastrandrea, P. (Author) , Noulas, C. (Author) , Oechsle, J. (Author) , Piendibene, M. (Author) , Poggi, R. (Author) , Schöning, André (Author) , Sfyrla, A. (Author) , Sotiropoulou, C. L. (Author) , Steentoft, J. (Author) , Tsiakiris, T. (Author) , Xella, S. (Author) , Zinßer, Joachim (Author)
Format: Article (Journal)
Language:English
Published: 26 June 2023
In: Journal of Instrumentation
Year: 2023, Volume: 18, Issue: 6, Pages: 1-23
ISSN:1748-0221
DOI:10.1088/1748-0221/18/06/P06029
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1088/1748-0221/18/06/P06029
Verlag, kostenfrei, Volltext: https://iopscience.iop.org/article/10.1088/1748-0221/18/06/P06029
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Author Notes:A. Camplani, S. Dittmeier, A. Annovi, K. Axiotis, R. Beccherle, N. Biesuz, R. Brenner, S. Débieux, M. Ellert, P. Francavilla, P. Giannetti, K. Kordas, M. Mårtensson, P. Mastrandrea, C. Noulas, J. Oechsle, M. Piendibene, R. Poggi, A. Schöning, A. Sfyrla, C.L. Sotiropoulou, J. Steentoft, T. Tsiakiris, S. Xella and J. Zinßer
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Summary:The fast reconstruction of charged particle tracks with high efficiency and track quality is an essential part of the online data selection for the ATLAS experiment at the High Luminosity LHC. Dedicated custom designed hardware boards and software simulations have been developed to assess the feasibility of a Hardware Tracking Trigger (HTT) system. The Pattern Recognition Mezzanine (PRM), as part of the HTT system, has been designed to recognize track candidates in silicon detectors with Associative Memory ASICs and to select and reconstruct tracks using linearized algorithms implemented in an Intel Stratix 10 MX FPGA. The highly parallelized FPGA design makes extensive use of the integrated High-Bandwidth-Memory.In this paper, the FPGA design for the PRM board is presented. Its functionalities have been verified in both simulations and hardware tests on an Intel Stratix 10 MX development kit.
Item Description:Gesehen am 25.10.2024
Online veröffentlicht: 26 Juni 2023
Physical Description:Online Resource
ISSN:1748-0221
DOI:10.1088/1748-0221/18/06/P06029

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