Paper | Title | Other Keywords | Page |
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MOP14 | Design and Implementation of an FPGA-Based Digital Processor for BPM Applications | simulation, GUI, feedback, operation | 55 |
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Digital processing systems have been proven to often outperform analog elaboration. Indeed, thanks to high-density DSPs and FPGAs, operations in digital domain give results that are impossible to achieve in other ways. On the other side, dealing with this great performance and flexibility is not always straightforward: the processing chain needs to be accurately planned to reach the desired goals, avoiding erratic behaviours in the digital domain. In this paper, we focus on the design and implementation of an FPGA-based digital processor that will be used in the electron beam position monitors of Elettra 2.0. After digitizing the 500 MHz beam signals from the pickups, the system executes a digital down conversion, followed by several filtering and demodulating stages, in order to have a selectable data rate that is suitable for both diagnostics and feedback. The position calculation is also performed in FPGA as well, with the well-known difference-over-sum algorithm. According to results provided by a fixed-point simulation, the overall system has been implemented in an Intel Arria 10 FPGA, demonstrating the correct design functionality that meets the specified requirements. | |||
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Poster MOP14 [1.475 MB] | ||
DOI • | reference for this paper ※ doi:10.18429/JACoW-IBIC2022-MOP14 | ||
About • | Received ※ 06 September 2022 — Revised ※ 09 September 2022 — Accepted ※ 11 September 2022 — Issue date ※ 09 October 2022 | ||
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MOP36 | Novel Beam Excitation System Based on Software-Defined Radio | betatron, acceleration, software, controls | 133 |
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Funding: This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under GA No 101004730. A signal generator for transverse excitation of stored particle beams is developed and commissioned at GSI SIS18. Thereby a novel approach using a software-defined radio system and the open-source GNU Radio ecosystem is taken. This allows for a low cost yet highly flexible setup for creating customizable and tuneable excitation spectra. Due to its open-source nature, it has the potential for long term maintainability and integrability into the accelerator environment. Furthermore, this opens up the possibility to easily share algorithms for the generation of waveforms across accelerator facilities. As a first application, the device is used to control the coherence and amplitude of transverse oscillations by excitation in the vicinity of betatron sidebands. It enables measurement of beam parameters like tune and chromaticity. On a longer term, it will be used for more complex tasks such as beam shaping, extraction and automated parameter scans towards these complex processes. |
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DOI • | reference for this paper ※ doi:10.18429/JACoW-IBIC2022-MOP36 | ||
About • | Received ※ 31 August 2022 — Revised ※ 09 September 2022 — Accepted ※ 12 September 2022 — Issue date ※ 10 November 2022 | ||
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MOP42 | KINGFISHER: A Framework for Fast Machine Learning Inference for Autonomous Accelerator Systems | controls, feedback, operation, interface | 151 |
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Modern particle accelerator facilities allow new and exciting beam properties and operation modes. Traditional real-time control systems, albeit powerful, have bandwidth and latency constraints that limit the range of operating conditions currently made available to users. The capability of Reinforcement Learning to perform self-learning control policies by interacting with the accelerator is intriguing. The extreme dynamic conditions require fast real-time feedback throughout the whole control loop from the diagnostic, with novel and intelligent detector systems, all the way to the interaction with the accelerator components. In this contribution, the novel KINGFISHER framework based on the modern Xilinx Versal devices will be presented. Versal combines several computational engines, specifically combining powerful FPGA logic with programmable AI Engines in a single device. Furthermore, this system can be natively integrated with the fastest beam diagnostic tools already available, i.e. KAPTURE and KALYPSO. | |||
DOI • | reference for this paper ※ doi:10.18429/JACoW-IBIC2022-MOP42 | ||
About • | Received ※ 07 September 2022 — Revised ※ 09 September 2022 — Accepted ※ 12 September 2022 — Issue date ※ 09 October 2022 | ||
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TUP02 | Design of High Dynamic Range Preamplifiers for a Diamond-Based Radiation Monitor System | controls, monitoring, radiation, detector | 216 |
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Regardless of the different accelerator types (light sources like FELs or synchrotrons, high energy colliders), diagnostics is an essential element for both personnel and machine protection. With each update, accelerators become more complex and require an appropriate diagnostic system capable of satisfying multiple specifications, that become more stringent as complexity increases. This paper presents prototyping work towards a possible update of the readout electronics of a system based on single-crystal chemical vapor deposition (scCVD) diamond sensors, monitoring the radiation dose-rates in the interaction region of SuperKEKB, an asymmetric-energy electron-positron collider. The present readout units digitize the output signals from the radiation monitors, process them using an FPGA, and alert the accelerator control system if the radiation reaches excessive levels. The proposed updated version introduces a new design for the analog front end that overcomes its predecessor’s limits in dynamic range thanks to high-speed switches to introduce a variable gain in transimpedance preamplifiers, controlled by an ad-hoc developed FPGA firmware. | |||
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Poster TUP02 [1.292 MB] | ||
DOI • | reference for this paper ※ doi:10.18429/JACoW-IBIC2022-TUP02 | ||
About • | Received ※ 07 September 2022 — Revised ※ 09 September 2022 — Accepted ※ 12 September 2022 — Issue date ※ 16 October 2022 | ||
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TUP42 | Fast Orbit Feedback Upgrade at SOLEIL | interface, network, controls, electron | 339 |
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In the framework of the SOLEIL II project, the diagnostics group must anticipate ahead of the dark period the upgrade of important system like the BPM electronics, the timing system end the Fast Orbit Feedback (FOFB). The FOFB is a complex system that is currently embedded in the BPM electronics modules (eBPM). A new flexible stand-alone platform is under conception to follow the future upgrades of surrounding equipment, and to allow the integration of future correction schemes. In this paper we will present the current status of technical decisions, tests and developments. | |||
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Poster TUP42 [3.305 MB] | ||
DOI • | reference for this paper ※ doi:10.18429/JACoW-IBIC2022-TUP42 | ||
About • | Received ※ 07 September 2022 — Revised ※ 10 September 2022 — Accepted ※ 12 September 2022 — Issue date ※ 25 September 2022 | ||
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WEP06 | An LHC Protection System Based on Fast Beam Intensity Drops | operation, Windows, detector, emittance | 387 |
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The Large Hadron Collider (LHC) is protected against potentially dangerous beam losses by a distributed system based on some four thousand beam loss monitors. To provide an additional level of safety, the LHC has been equipped with a system to detect fast beam intensity drops and trigger a beam dump for potentially dangerous rates. This paper describes the architecture of the system and its signal processing, optimized to cope with dump thresholds in the order of 0.01 % of the circulating beam intensity. The performance of the installed system is presented based upon beam measurements. | |||
DOI • | reference for this paper ※ doi:10.18429/JACoW-IBIC2022-WEP06 | ||
About • | Received ※ 10 September 2022 — Revised ※ 11 September 2022 — Accepted ※ 12 September 2022 — Issue date ※ 22 November 2022 | ||
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