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An ATCA processor for Level-1 trigger primitive generation and readout of the CMS barrel muon detectors

An ATCA processor was designed to instrument the first layer of the CMS Barrel Muon Trigger. The processor receives and processes DT and RPC data and produces muon track segments. Furthermore, it provides readout for the DT detector. The ATCA processor is based on a Xilinx XCVU13P FPGA, receives dat...

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Detalles Bibliográficos
Autores principales: Bestintzanos, I, Adamidis, K, Euaggelou, I, Fernandez Bedoya, C, Foudas, C, Lymperakis, A, Manthos, N, Navarro, A, Papadopoulos, I, Redondo, I, Sotiropoulos, S, Sphicas, P, Vellidis, K
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1748-0221/18/02/C02039
http://cds.cern.ch/record/2861849
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author Bestintzanos, I
Adamidis, K
Euaggelou, I
Fernandez Bedoya, C
Foudas, C
Lymperakis, A
Manthos, N
Navarro, A
Papadopoulos, I
Redondo, I
Sotiropoulos, S
Sphicas, P
Vellidis, K
author_facet Bestintzanos, I
Adamidis, K
Euaggelou, I
Fernandez Bedoya, C
Foudas, C
Lymperakis, A
Manthos, N
Navarro, A
Papadopoulos, I
Redondo, I
Sotiropoulos, S
Sphicas, P
Vellidis, K
author_sort Bestintzanos, I
collection CERN
description An ATCA processor was designed to instrument the first layer of the CMS Barrel Muon Trigger. The processor receives and processes DT and RPC data and produces muon track segments. Furthermore, it provides readout for the DT detector. The ATCA processor is based on a Xilinx XCVU13P FPGA, receives data via 10 Gbps optical links and transmits track segments via 25 Gbps optical links. The processor is instrumented with a Zynq Ultrascale+ SoM connected with an SSD which provides the necessary resources for enhanced monitoring and control information. The design of the board as well as results on its performance are presented.
id cern-2861849
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2023
record_format invenio
spelling cern-28618492023-06-14T18:27:09Zdoi:10.1088/1748-0221/18/02/C02039http://cds.cern.ch/record/2861849engBestintzanos, IAdamidis, KEuaggelou, IFernandez Bedoya, CFoudas, CLymperakis, AManthos, NNavarro, APapadopoulos, IRedondo, ISotiropoulos, SSphicas, PVellidis, KAn ATCA processor for Level-1 trigger primitive generation and readout of the CMS barrel muon detectorsDetectors and Experimental TechniquesAn ATCA processor was designed to instrument the first layer of the CMS Barrel Muon Trigger. The processor receives and processes DT and RPC data and produces muon track segments. Furthermore, it provides readout for the DT detector. The ATCA processor is based on a Xilinx XCVU13P FPGA, receives data via 10 Gbps optical links and transmits track segments via 25 Gbps optical links. The processor is instrumented with a Zynq Ultrascale+ SoM connected with an SSD which provides the necessary resources for enhanced monitoring and control information. The design of the board as well as results on its performance are presented.oai:cds.cern.ch:28618492023
spellingShingle Detectors and Experimental Techniques
Bestintzanos, I
Adamidis, K
Euaggelou, I
Fernandez Bedoya, C
Foudas, C
Lymperakis, A
Manthos, N
Navarro, A
Papadopoulos, I
Redondo, I
Sotiropoulos, S
Sphicas, P
Vellidis, K
An ATCA processor for Level-1 trigger primitive generation and readout of the CMS barrel muon detectors
title An ATCA processor for Level-1 trigger primitive generation and readout of the CMS barrel muon detectors
title_full An ATCA processor for Level-1 trigger primitive generation and readout of the CMS barrel muon detectors
title_fullStr An ATCA processor for Level-1 trigger primitive generation and readout of the CMS barrel muon detectors
title_full_unstemmed An ATCA processor for Level-1 trigger primitive generation and readout of the CMS barrel muon detectors
title_short An ATCA processor for Level-1 trigger primitive generation and readout of the CMS barrel muon detectors
title_sort atca processor for level-1 trigger primitive generation and readout of the cms barrel muon detectors
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1088/1748-0221/18/02/C02039
http://cds.cern.ch/record/2861849
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