Keyword: interface
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TUP044 The Digital Signal Processing Chain of the CERN LIU BWS FPGA, controls, timing, instrumentation 288
  • D. Belohrad
    European Organization for Nuclear Research (CERN), Geneva, Switzerland
  • J. Emery, J.C. Esteban Felipe, A. Goldblatt, A. Guerrero, M. Martin Nieto, F. Roncarolo
    CERN, Meyrin, Switzerland
  Between 2019 and 2023, as part of the LHC Injectors Upgrade (LIU), a major renovation of the CERN wire scanners (BWS) was performed. The main driving force was to prepare the wire scanners for the High-Luminosity LHC (HL-LHC), during which the instantaneous luminosity is expected to double, to around 5× 1034cm-2s-1. In 2021 seventeen LIU BWSs were installed in the CERN PS complex and the SPS. Additionally, two BWSs were installed in the LHC, at the end of 2022, to be ready for the 2023 LHC run. The aim of the contribution is to describe in detail the technical implementation of the digital signal acquisition (DAQ) and data processing of the newly installed BWSs. Particular attention is given to the design of the analogue front-end, signal conversion, and data processing chain ¿ providing raw data for the profile reconstruction. The synchronisation of the incoming digitised signal with the machine timing is also a focus point, as it differs significantly between the PS complex on the one hand and the LHC and SPS on the other hand. In conclusion we present beam measurements, and discuss the limitations of the algorithms used.  
DOI • reference for this paper ※ doi:10.18429/JACoW-IBIC2023-TUP044  
About • Received ※ 08 September 2023 — Revised ※ 10 September 2023 — Accepted ※ 12 September 2023 — Issue date ※ 15 September 2023
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WEP046 Progress on Distributed Image Analysis from Digital Cameras at ELSA using the RabbitMQ Message Broker framework, controls, network, distributed 449
  • M.T. Switka, K. Desch, T.J. Gereons, S. Kronenberg, D. Proft, A. Spreitzer
    ELSA, Bonn, Germany
  In the course of modernization of camera based imaging and image analysis for accelerator hardware and beam control at the ELSA facility, a distributed image processing approach was implemented, called FGrabbit. We utilize the RabbitMQ message broker to share the high data throughput from image acquisition, processing, analysis, display and storage between different work stations to achieve an optimum efficacy of the involved hardware. Re-calibration of already deployed beam profile monitors using machine vision algorithms allow us to perform qualitative beam photometry measurements to obtain beam sizes and dynamics with good precision. We describe the robustness of the calibration, image acquisition and processing and present the architecture and applications, such as the programming- and web-interface for machine operators and developers.  
DOI • reference for this paper ※ doi:10.18429/JACoW-IBIC2023-WEP046  
About • Received ※ 07 September 2023 — Revised ※ 08 September 2023 — Accepted ※ 15 September 2023 — Issue date ※ 28 September 2023
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