R. Bronès, A. Bence, J. Bisou, N. Hubert, D. Pédeau, G. Pichon
SOLEIL, Gif-sur-Yvette, France
SOLEIL is upgrading its Fast Orbit Feedback platform to withstand coming obsolescence of electronic BPM and future evolutions of the machine. This new platform has to be compatible with current boundary devices such as BPM electronics or corrector power supplies, but it also shall evolve to interface future versions of these systems. A MTCA based platform was designed and installed. It is integrated in the control system by mean of a OPCUA server, and care has been taken to seamlessly toggle the closing of the feedback loop on the former or new FOFB platform. This paper will present the first tests and results conducted to commission this new system.
K. Satou, T. Toyama, S. Yamada
KEK, Tokai, Ibaraki, Japan
The BPM signal processing system, which is19 years old system, have been suffering from gain fluctuation due to contact resistance of the mechanical gain selector, communication disruption caused by an unstable contact of a card edge connector. In addition, it has a difficulty of repairments because some on-board parts have already reached end of product-life cycle, and some units have been in unusable situation. Presently, we are on the beam power upgrade campaign to 1.3 MW by increasing beam bunch current and shortening the MR operation cycle, and precise beam tunings would require massive waveform data processing and transfer to a storage than the present system. For this, we have been developing the system based on the 10 GbE optical link. The ADC board which is under development would perform direct sampling using the third harmonic of RF. The digital IQ demodulation technique is used to extract the baseband oscillation from the raw data. The obtained raw waveform as well as closed orbit data would be stored in the data storage system. In the presentation, we will report on the progress of development aimed at operation in 2025 and the conceptual design of the new system.
M.A. Ibrahim, J.M.S. Arnold, M.R. Austin, J.R. Berlioz, P.M. Hanlet, K.J. Hazelwood, J. Mitrevski, V.P. Nagaslaev, A. Narayanan, D.J. Nicklaus, G. Pradhan, A.L. Saewert, B.A. Schupbach, K. Seiya, R.M. Thurman-Keup, N.V. Tran
Fermilab, Batavia, Illinois, USA
J.YC. Hu, J. Jiang, H. Liu, S. Memik, R. Shi, A.M. Shuping, M. Thieme, C. Xu
Northwestern University, EVANSTON, USA
Funding:Operated by Fermi Research Alliance, LLC under Contract No.DE-AC02-07CH11359 with the United States Department of Energy. Additional funding provided by Grant Award No. LAB 20-2261 [1] The Real-time Edge AI for Distributed Systems (READS) project’s goal is to create a Machine Learning (ML) system for real-time beam loss de-blending within the accelerator enclosure, which houses two accelerators: the Main Injector (MI) and the Recycler (RR). In periods of joint operation, when both machines contain high intensity beam, radiative beam losses from MI and RR overlap on the enclosure¿s beam loss monitoring (BLM) system, making it difficult to attribute those losses to a single machine. Incorrect diagnoses result in unnecessary downtime that incurs both financial and experimental cost. The ML system will automatically disentangle each machine¿s contributions to those measured losses, while not disrupting the existing operations-critical functions of the BLM system. Within this paper, the ML models, used for learning both local and global machine signatures and producing high quality inferences based on raw BLM loss measurements, will only be discussed at a high-level. This paper will focus on the evolution of the architecture, which provided the high-frequency, low-latency collection of synchronized data streams to make real-time inferences. Performed at Northwestern with support from the Departments of Computer Science and Electrical and Computer Engineering
R.T. Keane, K.C. Harkay, N. Sereno
ANL, Lemont, Illinois, USA
A. Caracappa, C. Danneil, K. Ha, J. Mead, D. Padrazo
BNL, Upton, New York, USA
Funding:Work supported by U. S. Department of Energy Office of Science, Office of Basic Energy Sciences, under Contract No. DE-AC02-06CH11357 The Advanced Photon Source upgrade (APS-U) Multi-Bend Acromat (MBA) storage ring utilizes on-axis swap-out injection requiring up to 20nC charge per electron bunch. Enforcement of radiation safety limits for the new storage ring will be accomplished by a new beam charge monitor interlock that accumulates beam charge measurements in the Booster-to-Storage ring (BTS) transfer line and disables injection when the charge limit over a preset time period is exceeded. The new interlock is based on the existing APS Beam Shut-Off Current Monitor (BESOCM), and incorporates significant improvements over the existing system. New features include use of direct digitization and FPGA processing, extensive remote monitoring capabilities, expanded self-test and fail-safe functions, and the ability to adjust settings and monitor status remotely via EPICS. The new device integrates a test pulse (self-check) feature that verifies the integrity of the integrating beam current transformer (ICT) and cable system used to detect the beam signal. This paper describes the new BTS interlock (BESOCM) design and presents results of bench test and in-machine evaluation of the prototype and production units.
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.
V.E. Scarpine, B.J. Fellenz, A. Semenov, D. Slimmer
Fermilab, Batavia, Illinois, USA
Funding:This work was supported by the U.S. Department of Energy under contract No. DE-AC02-07CH11359. The Mu2E experiment will measure the ratio of the rate of the neutrinoless, coherent conversion of muons into electrons as a measure of Charged Lepton Flavor Violation. As part of the Mu2E experiment, a proton storage ring, called the Delivery Ring, will utilize resonant extraction to slow-spill protons to the experiment. To regulate and optimize the Delivery Ring resonant extraction process, a fast tune measurement scheme will be required. This Mu2E tune meter will measure the average tune and the tune spectrum, in multiple time slices, through the entire resonant extraction cycle of nominally 43 msec. The Mu2E tune meter utilizes vertical and horizontal 21.4 MHz Schottky detector resonant pickups, taken from the decommissioned Tevatron, as well as its receiver electronics. This paper will present the design of this Schottky tune meter as well as tune measurements from the Mu2E Delivery Ring.
L.W. Lai, S.S. Cao, X.Q. Liu, Y.M. Zhou
SARI-CAS, Pudong, Shanghai, People’s Republic of China
J. Chen
SSRF, Shanghai, People’s Republic of China
R. Meng
SINAP, Shanghai, People’s Republic of China
Funding:Work supported by The National Science Foundation of China (Grant No.12175293). Youth Innovation Promotion Association, CAS (Grant No. 2019290) A RF direct sampling beam signal processor has been developed in SSRF. It mainly consists of four channels RF direct sampling ADCs and a SoC FPGA. The ADC is 9GHz bandwidth and 2.6GHz sampling rate. A prototype of RF module contains band pass filter, low noise ampli-fier and step attenuator has been designed for SHINE cavity BPM system. Then a novel cavity BPM electronic including the processor and the RF module has been built for SHINE. The performance of the electronic has been analyzed and evaluated in lab. The amplitude relative error is 2.0×10-4,which is better than the required 1×10-3 on cavity BPM system. The phase error is 14fs, also bet-ter than the requirement of RF BAM system. The algorithm and the implementation in FPGA have been introduced. Corresponding author: lailw@sari.ac.cn
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