Beam Profile Monitoring and Distributed Analysis Using the RabbitMQ Message Broker
140
D. Proft, K. Desch, D. Elsner, F. Frommberger, S. Kronenberg, A. Spreitzer, M.T. Switka
ELSA, Bonn, Germany
The ELSA facility utilizes several digital cameras for beam profile measurements on luminous screens and synchrotron radiation monitors. Currently a multitude of devices with analog signal output are being replaced in favor of digital outputs, preferably with data transfer via Ethernet. The increased network traffic for streaming, analyzing, and distribution of processed data to control system and machine operators is managed through a supplementary camera network in which distributed computing is performed by the RabbitMQ message broker. This allows performant and platform-independent image acquisition from multiple cameras, real time profile analysis, and supports programming interfaces for C++ and Python. The setup and performance of the implementation are presented.
M.S. McCallum, A. Lyapin
JAI, Egham, Surrey, United Kingdom
Funding:This work is supported by STFC’s Impact Acceleration Account scheme. Our group is developing a family of compact radio frequency sources aiming to cover 50 MHz to 20 GHz with several models. The primary goal is to provide an alternative to using expensive laboratory generators in permanent installations. In addition, we work towards providing a higher specification than similar telecommunications devices as this is a typical requirement in accelerator instrumentation. We take a minimalistic approach with only a network interface planned, assuming that such a device operates remotely in a large facility. An EPICS interface is in the works for monitoring and control. In this paper, we present the results of rapid prototyping with XMicrowave components. The first measurements show encouraging phase noise performance and spectral purity.
Synchronous Data Service at the European Spallation Source
148
R. Titmarsh
STFC/RAL/ISIS, Chilton, Didcot, Oxon, United Kingdom
J.F. Esteban Müller, J.P.S. Martins
ESS, Lund, Sweden
The Synchronous Data Service (SDS) is a tool to monitor and capture events in the European Spallation Source, building on top of the EPICS control system. Large amounts of data from different input output controllers are acquired and synchronised at the level of beam pulses. The acquisition can be triggered by beam events though the timing system or manually by a user. Captured data is stored in standardised NeXus files and indexed in a database for easy searching and retrieval.
KINGFISHER: A Framework for Fast Machine Learning Inference for Autonomous Accelerator Systems
151
L. Scomparin, E. Blomley, E. Bründermann, M. Caselle, T. Dritschler, A. Kopmann, A. Mochihashi, A.-S. Müller, A. Santamaria Garcia, P. Schreiber, J.L. Steinmann, M. Weber
KIT, Eggenstein-Leopoldshafen, Germany
T. Boltz
SLAC, Menlo Park, California, USA
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.
RF System-on-Chip for Multi-Bunch and Filling-Pattern Feedbacks
379
P.H. Baeta Neves Diniz Santos, B. Keil, G. Marinkovic
PSI, Villigen PSI, Switzerland
RF Systems-on-Chip (RFSoCs) are FPGAs with CPUs, multi-GSample/s ADCs and DACs and other components on the same chip. We have evaluated the use of RFSoCs for low-latency multibunch (bunch-by-bunch) feedback and filling pattern (single bunch charge) measurement systems for the Swiss Light Source (SLS) storage ring. First results obtained with an RFSoC evaluation board will be presented.
please see instructions how to view/control embeded videos
Control System Suite for Beam Position Monitors at MAX IV
496
Á. Freitas, V. Hardion, M. Lindberg, R. Lindvall, R. Svärd, C. Takahashi
MAX IV Laboratory, Lund University, Lund, Sweden
MAX IV is a fourth generation synchrotron facility at Lund, Sweden. It is composed by a full energy linear accelerator and two storage rings with 1.5 GeV and 3 GeV, which requires hundreds of beam position monitors. In this context, Libera Single Pass E and Libera Brilliance+ are employed as BPM instruments. This paper will present an overview of the control system suite used in the facility, including the communication, data acquisition and storage pipelines, monitoring, configuration and software maintainability.
Development of a Sticker Sealed Microfluidic Device for In Situ Analytical Measurements Using Synchrotron Radiation
L. Castro
Université Paris Science et Lettres, Paris 6ème, France
Funding:The authors would like to thank the financial support from CNPq, CAPES, Brazilian Center for Research in Energy and Materials (CNPEM)/29’ summer scholarship program-PBV) and FAPESP Shedding synchrotron light on microfluidic systems, exploring several contrasts in situ/operando at the nanoscale, like X-ray fluorescence, diffraction, luminescence, and absorption, has the potential to reveal new properties and functionalities of materials across diverse areas. In this work, we present the micro-fabrication and characterization of a multifunctional polyester/glass sealed microfluidic device well-suited to combine with analytical X-ray techniques. The device consists of smooth microchannels patterned on glass, where three gold electrodes are deposited into the channels to serve in situ electrochemistry analysis or standard electrical measurements. It has been efficiently sealed through an ultraviolet-sensitive sticker-like layer based on a polyester film, and the burst pressure is determined by pumping water through the microchannel (up to 0.22 MPa). The device potentialities, and its high transparency to X-rays, have been demonstrated by taking advantage of the X-ray nanoprobe Carnaúba/Sirius/LNLS, by obtaining 2D X-ray nanofluorescence maps on the microchannel filled with water and after an electrochemical nucleation reaction. *Whitesides, G. M. Te origins and the future of microfuidics. Nature 442, 368’373. https://doi.org/10.1038/nature05058 (2006).
A Modern Ethernet Data Acquisition Architecture for Fermilab Beam Instrumentation
500
R.R. Santucci, J.S. Diamond, N. Eddy, A. Semenov, D.C. Voy
Fermilab, Batavia, Illinois, USA
The Fermilab Accelerator Division, Instrumentation Department is adopting an open-source framework to replace our embedded VME-based data acquisition systems. Utilizing an iterative methodology, we first moved to embedded Linux, removing the need for VxWorks. Next, we adopted Ethernet on each data acquisition module eliminating the need for the VME backplane in addition to communicating with a rack mount server. Development of DDCP (Distributed Data Communications Protocol), allowed for an abstraction between the firmware and software layers. Each data acquisition module was adapted to read out using 1GbE and aggregated at a switch which up linked to a 10GbE network. Current development includes scaling the system to aggregate more modules, to increase bandwidth to support multiple systems and to adopt MicroTCA as a crate technology. The architecture was utilized on various beamlines around the Fermilab complex including PIP2IT, FAST/IOTA and the Muon Delivery Ring. In summary, we were able to develop a data acquisition framework which incrementally replaces VxWorks & VME hardware as well as increases our total bandwidth to 10Gbit/s using off the shelf Ethernet technology.
ENeXAr: An EPICS-Based Tool for User-Controlled Data Archiving
504
J.F. Esteban Müller
ESS, Lund, Sweden
ENeXAr is a data archival tool for EPICS-based systems. It is intended as a complement for traditional data archiving solutions, to cover use cases for which they are usually not designed: mainly for limited-duration high-data rates from a subset of signals. The service is particularly useful for activities related to machine commissioning, beam studies, and system integration testing. Data acquisition is controlled via PV Access RPC commands and the data is stored in standard HDF5-based NeXus files. The RPC commands allow users to define the acquisition parameters, the data structure, and the metadata. The usage of EPICS RPC commands means that the users are not required to install additional software. Also, acquisitions can be automatized directly from EPICS IOCs.
Application of Machine Learning towards Particle Counting and Identification
508
S.E. Engel
University of Essex, Physics Centre, Colchester, United Kingdom
P. Boutachkov, R. Singh
GSI, Darmstadt, Germany
An exploration into the application of three machine learning (ML) approaches to identify and separate events in the detectors used for particle counting at the GSI Helmholtz Centre for Heavy Ion Research. A convolutional neural network (CNN), a shape-based template matching algorithm (STMF) and Peak Property-based Counting Algorithm (PPCA) were developed to accurately count the number of particles without domain-specific knowledge required to run the currently used algorithm. The three domain-agnostic ML algorithms are based on data from scintillation counters commonly used in beam instrumentation and represent proof-of-work for an automated particle counting system. The algorithms were trained on a labelled set of over 150 000 experimental particle data. The results of the three classification approaches were compared to find a solution that best mitigates the effects of particle pile-ups. The two best-achieving algorithms were the CNN and PPCA, achieving an accuracy of 99.8\%. This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under GA No 101004730.
T.B. Ilhan, A. Caglar, D. Halis
YTU, Istanbul, Turkey, Turkey
A. Adiguzel, S. Oz
Istanbul University, Istanbul, Turkey
H. Cetinkaya
Dumlupinar University, Faculty of Science and Arts, Kutahya, Turkey
E. Elibollar, M.F. Er, A. Inanc, E.V. Ozcan
Bogazici University, Bebek / Istanbul, Turkey
U. Kaya
Istinye University, Institute of Sciences, Istanbul, Turkey
A. Ozbey
IUC, Istanbul, Turkey
G. Türemen
TENMAK-NUKEN, Ankara, Turkey
G. Unel
UCI, Irvine, California, USA
KAHVE Laboratory has two functional particle sources: thermal electrons and ionized hydrogen. Each of these are followed by DC acceleration sections, for obtaining an electron beam to accelerate electrons MeV energy level and for providing protons to the radio frequency quadrupole accelerator which are being built. So far both systems have keV energy levels. Both systems employ LabVIEW based GUIs to interact with the user and to control and monitor the DC power supplies. The vacuum gauges, turbomolecular pumps, stepper motors and high voltage power supplies are all controlled with PLCs. The equipment under high voltage, are monitored and controlled via Arduino based wifi and bluetooth wireless communication protocols. The proton beamline has additional devices for beam diagnostics which are being commissioned like pepper pot plate, scintillator screen and faraday cup. Both systems are being standardize before MeV energy level for generalize to national labs which are working on detectors and accelerators. We believe such a setup could be a low budget control and readout example for modern small experiments and educational projects.
