Keyword: experiment
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MOAL01 Maturity of the MAX IV Laboratory in Operation and Phase II Development operation, controls, detector, data-acquisition 1
 
  • V. Hardion, P.J. Bell, M. Eguiraun, T. Eriksson, A. Freitas, J.M. Klingberg, M. Lindberg, Z. Matej, S. Padmanabhan, A. Salnikov, P. Sjöblom, D.P. Spruce
    MAX IV Laboratory, Lund University, Lund, Sweden
 
  MAX~IV Laboratory, the first 4th generation synchrotron located in the south of Sweden, entered operation in 2017 with the first three experimental stations. In the past two years the project organisation has been focused on phase II of the MAX IV Laboratory development, aiming to raise the number of beamlines in operation to 16. The KITS group, responsible for the control and computing systems of the entire laboratory, was a major actor in the realisation of this phase as well as in the continuous up-keep of the user operation. The challenge consisted principally of establishing a clear project management plan for the support groups, including KITS, to handle this high load in an efficient and focused way, meanwhile gaining the experience of operating a 4th generation light source. The momentum gained was impacted by the last extensive shutdown due to the pandemic and shifted toward the remote user experiment, taking advantage of web technologies. This article focuses on how KITS has handled this growing phase in term of technology and organisation, to finally describe the new perspective for the MAX IV Laboratory, which will face a bright future.  
slides icon Slides MOAL01 [79.837 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOAL01  
About • Received ※ 10 October 2021       Revised ※ 22 November 2021       Accepted ※ 13 December 2021       Issue date ※ 22 December 2021
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MOAL02 Status of the National Ignition Facility (NIF) Integrated Computer Control and Information Systems controls, laser, target, diagnostics 9
 
  • M. Fedorov, A.I. Barnes, L. Beaulac, G.K. Brunton, A.D. Casey, J.R. Castro Morales, J. Dixon, C.M. Estes, M.S. Flegel, V.K. Gopalan, S. Heerey, R. Lacuata, V.J. Miller Kamm, M. Paul, B.M. Van Wonterghem, S. Weaver
    LLNL, Livermore, California, USA
 
  Funding: This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344
The National Ignition Facility (NIF) is the world’s most energetic laser system used for Inertial Confinement Fusion (ICF) and High Energy Density Physics (HEDP) experimentation. Each laser shot delivers up to 1.9 MJ of ultraviolet light, driving target temperatures to in excess of 180 million K and pressures 100 billion times atmospheric ’ making possible direct study of conditions mimicking interiors of stars and planets, as well as our primary scientific applications: stockpile stewardship and fusion power. NIF control and diagnostic systems allow physicists to precisely manipulate, measure and image this extremely dense and hot matter. A major focus in the past two years has been adding comprehensive new diagnostic instruments to evaluate increasing energy and power of the laser drive. When COVID-19 struck, the controls team leveraged remote access technology to provide efficient operational support without stress of on-site presence. NIF continued to mitigate inevitable technology obsolescence after 20 years since construction. In this talk, we will discuss successes and challenges, including NIF progress towards ignition, achieving record neutron yields in early 2021.
LLNL-ABS-821973
 
slides icon Slides MOAL02 [5.014 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOAL02  
About • Received ※ 10 October 2021       Accepted ※ 30 November 2021       Issue date ※ 24 February 2022  
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MOBL03 Machine Learning Platform: Deploying and Managing Models in the CERN Control System controls, network, operation, embedded 50
 
  • J.-B. de Martel, R. Gorbonosov, N. Madysa
    CERN, Geneva, Switzerland
 
  Recent advances make machine learning (ML) a powerful tool to cope with the inherent complexity of accelerators, the large number of degrees of freedom and continuously drifting machine characteristics. A diverse set of ML ecosystems, frameworks and tools are already being used at CERN for a variety of use cases such as optimization, anomaly detection and forecasting. We have adopted a unified approach to model storage, versioning and deployment which accommodates this diversity, and we apply software engineering best practices to achieve the reproducibility needed in the mission-critical context of particle accelerator controls. This paper describes CERN Machine Learning Platform - our central platform for storing, versioning and deploying ML models in the CERN Control Center. We present a unified solution which allows users to create, update and deploy models with minimal effort, without constraining their workflow or restricting their choice of tools. It also provides tooling to automate seamless model updates as the machine characteristics evolve. Moreover, the system allows model developers to focus on domain-specific development by abstracting infrastructural concerns.  
slides icon Slides MOBL03 [0.687 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOBL03  
About • Received ※ 07 October 2021       Accepted ※ 16 November 2021       Issue date ※ 07 February 2022  
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MOBR03 Hexapod Control System Development Towards Arbitrary Trajectories Scans at Sirius/LNLS controls, target, acceleration, software 84
 
  • A.Y. Horita, F.A. Del Nero, G.N. Kontogiorgos, M.A.L. Moraes
    LNLS, Campinas, Brazil
  • G.G. Silva
    UNICAMP, Campinas, São Paulo, Brazil
 
  Modern 4th generation synchroton facilities demand high precision and dynamic manipulation systems capable of fine position control, aiming to improve the resolution and perfomance of their experiments. In this context, hexapods are widely used to obtain a flexible and accurate 6 Degrees of Freedom (DoF) positioning system, as they are based on Parallel Kinematic Mechanisms (PKM). Aiming the customization and governability of this type of motion control system, a software application was entirely modeled and implemented at Sirius. A Bestec hexapod was used and the control logic was embedded into an Omron Delta Tau Power Brick towards the standardization of Sirius control solutions with features which completely fill the beamline scan needs, e.g. tracing arbitrary trajectories. Newton-Raphson numerical method was applied to implement the PKM. Besides, the kinematics was implemented in C language, targeting a better runtime performance when comparing to script languages. This paper describes the design and implementation methods used in this control application development and presents its resulting performance.  
slides icon Slides MOBR03 [3.545 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOBR03  
About • Received ※ 10 October 2021       Revised ※ 17 October 2021       Accepted ※ 20 November 2021       Issue date ※ 19 January 2022
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MOPV002 CENBG Control System and Specific Instrumentation Developments for SPIRAL2-DESIR Setups controls, EPICS, PLC, MMI 98
 
  • L. Daudin, P. Alfaurt, A. Balana, M. Corne, M. Flayol, A.A. Husson, B. Lachacinski
    CENBG, Gradignan, France
 
  The DESIR facility will be in few years the SPIRAL2 experimental hall at GANIL dedicated to the study of nuclear structure, astrophysics and weak interaction at low energy. Exotic ions produced by the new S3 facility and SPIRAL1 complex will be transferred to high precision experiments in the DESIR building. To guaranty high purity beams to perform high precision measurements on specific nuclei, three main devices are currently being developed at CENBG: a High Resolution Separator (HRS), a General Purpose Ion Buncher (GPIB) and a double Penning Trap named ’PIPERADE’. The Control System (CS) developments we made at CENBG are already used to commission these devices. We present here beamline equipment CS solutions and the global architecture of this SPIRAL2 EPICS based CS.To answer specific needs, instrumental solutions have been developed like PPG used to optimize bunch timing and also used as traps conductor. Recent development using the cost efficient Redpitaya board with an embedded EPICS server will be described. This device used to drive a FCup amplifier and is also used for particle counting and time of flight measurements using our FPGA implementation called ’RedPiTOF’.  
poster icon Poster MOPV002 [2.483 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV002  
About • Received ※ 08 October 2021       Revised ※ 15 October 2021       Accepted ※ 03 November 2021       Issue date ※ 19 November 2021
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MOPV003 Laser Megajoule Facility Operating Software Overview laser, software, controls, network 104
 
  • J-P. Airiau, V. Denis, H. Durandeau, P. Fourtillan, N. Loustalet, P. Torrent
    CEA, LE BARP cedex, France
 
  The Laser MegaJoule (LMJ), the French 176-beam laser facility, is located at the CEA CESTA Laboratory near Bordeaux (France). It is designed to deliver about 1.4 MJ of energy on targets, for high energy density physics experiments, including fusion experiments. The first bundle of 8-beams was commissioned in October 2014. By the end of 2021, ten bundles of 8-beams are expected to be fully operational. Operating software tools are used to automate, secure and optimize the operations on the LMJ facility. They contribute to the smooth running of the experiment process (from the setup to the results). They are integrated in the maintenance process (from the supply chain to the asset management). They are linked together in order to exchange data and they interact with the control command system. This talk gives an overview of the existing operating software and the lessons learned. It finally explains the incoming works to automate the lifecycle management of elements included in the final optic assembly (replacement, repair, etc.).  
poster icon Poster MOPV003 [0.656 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV003  
About • Received ※ 08 October 2021       Revised ※ 22 October 2021       Accepted ※ 03 November 2021       Issue date ※ 13 February 2022
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MOPV006 The New Small Wheel Low Voltage Power Supply DCS for the ATLAS Experiment controls, detector, operation, radiation 111
 
  • C. Paraskevopoulos
    NTUA, Athens, Greece
 
  The present ATLAS Small Wheel detector will be replaced with the New Small Wheel(NSW) which is expected to be installed in the ATLAS underground cavern by the end of the LS2. Due to its complexity and long-term operation, NSW requires the development of a sophisticated Detector Control System. The use of such a system is necessary to allow the detector to function consistently as a seamless interface to all sub-detectors and the technical infrastructure of the experiment. The central system handles the transition between the possible operating states while ensuring monitoring and archiving of the system’s parameters. The part that will be described is the modular system of Low Voltage. The new LV Intermediate Control Station will be used to power all the boards of the NSW and through them providing readout and trigger data while functioning safely. Among its core features are remote control, split of radiation sensitive parts from parts that can be housed in a hostile area and compatibility with operation under radiation and magnetic field as in the ATLAS cavern.  
poster icon Poster MOPV006 [4.251 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV006  
About • Received ※ 10 October 2021       Revised ※ 18 October 2021       Accepted ※ 21 December 2021       Issue date ※ 24 December 2021
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MOPV013 A Dynamic Beam Scheduling System for the FAIR Accelerator Facility timing, controls, storage-ring, interlocks 138
 
  • S. Krepp, J. Fitzek, H.C. Hüther, R. Mueller, A. Schaller, A. Walter
    GSI, Darmstadt, Germany
 
  The new Accelerator Control System for GSI/FAIR is now being used productively for the GSI accelerator facility. As the central component for online beam orchestration, the Beam Scheduling System (BSS) is situated between the FAIR Settings Management System and the FAIR timing system. Besides device settings, the Settings Management System provides timing schedules for beam production. The primary purpose of the BSS is to define which of the beam schedules are executed by the timing system, how often and in which order. To provide runtime decisions in pre-planned execution options (e.g. skipping of a particular beam), it processes external signals like user input, experiment requests or beam prohibits provided by the interlock system. More recently, advanced features have been added that allow for dynamic execution control required by storage ring mode features such as breakpoints, repetitions, skipping and manipulations. This contribution gives an overview of the Beam Scheduling System including its interfaces.  
poster icon Poster MOPV013 [0.366 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV013  
About • Received ※ 10 October 2021       Revised ※ 01 November 2021       Accepted ※ 03 November 2021       Issue date ※ 11 March 2022
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MOPV016 Design and Implement of Web Based SCADA System for HUST Field-Reversed Configuration Device controls, SCADA, data-acquisition, framework 153
 
  • F.Y. Wu, Y.X. Jiang, W.S. Wang, X.H. Xie
    HUST, Wuhan, People’s Republic of China
  • S. Li, B. Rao, Y. Yang, M. Zhang, P.L. Zhang, W. Zheng
    Huazhong University of Science and Technology, State Key Laboratory of Advanced Electromagnetic Engineering and Technology,, Hubei, People’s Republic of China
 
  As a large complex fusion research device for stud-ying field reversed configuration (FRC) plasma, HUST FRC(HFRC) is composed of many subsystems. In order to coordinate all systems and ensure the correct, orderly and stable operation of the whole experimental device, it is very important to have a unified and powerful control system. HFRC SCADA(Supervisory Control And Data Ac-quisition) system has selected the in-house developed CFET’Control system Framework for Experimental Devices Toolkit’as the control framework, with ad-vantages of strong abstraction, simplified framework, transparent protocol and flexible extension due to Web technology.  
poster icon Poster MOPV016 [1.062 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV016  
About • Received ※ 09 October 2021       Revised ※ 16 October 2021       Accepted ※ 09 February 2022       Issue date ※ 23 February 2022
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MOPV039 UCAP: A Framework for Accelerator Controls Data Processing @ CERN controls, framework, software, operation 230
 
  • L. Cseppentő, M. Büttner
    CERN, Geneva, Switzerland
 
  The Unified Controls Acquisition and Processing (UCAP) framework provides a means to facilitate and streamline data processing in the CERN Accelerator Control System. UCAP’s generic structure is capable of tackling classic "Acquisition - Transformation - Publishing/Presentation" use cases, ranging from simple aggregations to complex machine reports and pre-processing of software interlock conditions. In addition to enabling end-users to develop data transformations in Java or Python and maximising integration with other controls sub-systems, UCAP puts an emphasis on offering self-service capabilities for deployment, operation and monitoring. This ensures that accelerator operators and equipment experts can focus on developing domain-specific transformation algorithms, without having to pay attention to typical IT tasks, such as process management and system monitoring. UCAP is already used by Linac4, PSB and SPS operations and will be used by most CERN accelerators, including LHC by the end of 2021. This contribution presents the UCAP framework and gives an insight into how we have productively combined modern agile development with conservative technical choices.  
poster icon Poster MOPV039 [7.998 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV039  
About • Received ※ 09 October 2021       Accepted ※ 04 November 2021       Issue date ※ 20 December 2021  
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TUPV009 OpenCMW - A Modular Open Common Middle-Ware Library for Equipment- and Beam-Based Control Systems at FAIR controls, software, interface, feedback 392
 
  • R.J. Steinhagen, H. Bräuning, D.S. Day, A. Krimm, T. Milosic, D. Ondreka, A. Schwinn
    GSI, Darmstadt, Germany
 
  OpenCMW is an open-source modular event-driven micro- and middle-ware library for equipment- and beam-based monitoring as well as feedback control systems for the FAIR Accelerator Facility. Based on modern C++20 and Java concepts, it provides common communication protocols, interfaces to data visualisation and processing tools that aid engineers and physicists at FAIR in writing functional high-level monitoring and (semi-)automated feedback applications. The focus is put on minimising the required boiler-plate code, programming expertise, common error sources, and significantly lowering the entry-threshold that is required with the framework. OpenCMW takes care of most of the communication, data-serialisation, data-aggregation, settings management, Role-Based-Access-Control (RBAC), and other tedious but necessary control system integrations while still being open to expert-level modifications, extensions or improvements.  
poster icon Poster TUPV009 [1.376 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV009  
About • Received ※ 08 October 2021       Accepted ※ 22 December 2021       Issue date ※ 21 February 2022  
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TUPV011 Interfacing EPICS and LabVIEW Using OPC UA for Slow Control Systems EPICS, LabView, controls, hardware 405
 
  • J. Mostafa, A. Beglarian, S.A. Chilingaryan, A. Kopmann
    KIT, Eggenstein-Leopoldshafen, Germany
 
  The ability of EPICS-based control systems to adapt to heterogeneous architectures made EPICS the defacto control system for scientific experiments. Several approaches have been made to adapt EPICS to LabVIEW-based cRIO hardware but these approaches including NI EPICS ServerI/O Server: (1) require a lot of effort to maintain and run especially if the controllers and the process variables are numerous; (2) only provide a limited set of metadata; or (3) provide a limited set of EPICS features and capabilities. In this paper, we survey different solutions to interface EPICS with LabVIEW-based hardware then propose EPICS OPCUA device support as an out-of-the-box interface between LabVIEW-based hardware and EPICS to preserve most of EPICS features and provide reasonable performance for slow control systems.  
poster icon Poster TUPV011 [0.424 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV011  
About • Received ※ 20 September 2021       Revised ※ 21 October 2021       Accepted ※ 16 November 2021       Issue date ※ 21 December 2021
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TUPV019 Control System for 30 keV Electron Gun Test Facility controls, electron, gun, PLC 433
 
  • D.A. Nawaz, M. Ajmal, A. Majid, N.U. Saqib, F. Sher
    PINSTECH, Islamabad, Pakistan
 
  At LINAC Project PINSTECH, an electron gun test facility for indigenously developed 30 keV electron guns is developed to control and monitor various beam parameters by performing electron beam tests and diagnostics. After successful testing, electron gun is then integrated into 6 MeV standing wave linear accelerator. This paper presents the control system design and development for the facility.  
poster icon Poster TUPV019 [1.468 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV019  
About • Received ※ 10 October 2021       Accepted ※ 20 November 2021       Issue date ※ 09 December 2021  
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TUPV030 Redesign of the VELO Thermal Control System Forfuture Detector Development controls, detector, framework, PLC 454
 
  • S.A. Lunt
    UCT Physics, Cape Town, South Africa
  • B. Verlaat, L. Zwalinski
    CERN, Geneva, Switzerland
 
  The Detector Technologies group at CERN has developed a Two-Phase Accumulator Controlled Loop (2PACL) test system for future detector development, using reused hardware from the LHCb Vertex Locator (VELO) Thermal Control System. The fluid, electrical and control systems have been redesigned and simplified by removing redundant components because it is no longer a critical system. The fluid cycle was updated to allow both 2PACL and integrated 2PACL cycles to be run and the chiller was replaced with an air-cooled unit using hot gas bypass to achieve a high turndown ratio. The electrical systems were upgraded with new hardware to improve usability and practicality. The control system logic is being developed with the CERN’s Unified Industrial Control System (UNICOS) framework. This paper presents thedetails of the design and implementation.  
poster icon Poster TUPV030 [1.057 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV030  
About • Received ※ 09 October 2021       Revised ※ 22 November 2021       Accepted ※ 22 December 2021       Issue date ※ 29 December 2021
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TUPV042 Collision Avoidance Systems in Synchrotron SOLEIL controls, PLC, detector, synchrotron 501
 
  • C. Engblom, S. Akinotcho, L. Amelineau, D.C. Corruble, P. Monteiro, L.E. Munoz, B. Pilliaud, G. Thibaux, S. Zhang
    SOLEIL, Gif-sur-Yvette, France
  • S. Bouvel
    EFOR, Levallois Perret, France
 
  Beamlines at Synchrotron SOLEIL are finding that their experimental setups (in respect to their respective sample environments, mechanical systems, and detectors) are getting more constrained when it comes to motorized manoeuvrability - an increasing number of mechanical instruments are being actuated within the same workspace hence increasing the risk of collision. We will in this paper outline setups with two types of Collision Avoidance Systems (CAS): (1) Static-CAS applications, currently being employed at the PUMA and NANOSCOPIUM beamlines, that use physical or contactless sensors coupled with PLC- and motion control- systems; (2) Dynamic-CAS applications, that use dynamic anti-collision algorithms combining encoder feedback and 3D-models of the system environment, implemented at the ANTARES and MARS beamlines but applied using two different strategies.  
poster icon Poster TUPV042 [1.670 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV042  
About • Received ※ 10 October 2021       Revised ※ 20 October 2021       Accepted ※ 21 December 2021       Issue date ※ 17 January 2022
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TUPV046 Modification of Data Acquisition System in HLS-II Experimental Station data-acquisition, data-management, controls, synchrotron 506
 
  • Z. Zhang, G. Liu
    USTC/NSRL, Hefei, Anhui, People’s Republic of China
 
  With the proposal of the concept of super-facility in recent years, users of experimental stations only need to pay attention to data with scientific significance, and the management of massive experimental data are assisted by the super-facility technical support platform to effectively improve user efficiency. Based on this theory, we modified the data acquisition system of the XMCD experimental station in HLS-II. We continue to use LabVIEW software to reduce development workload. Meanwhile, we have added the interaction program with the high-level application in the original data acquisition process under the principle of keeping the user habits of XMCD experimental station. We have modularized the XMCD experimental software and redesigned the experimental architecture into 4 modules: Swiping Card Module, Experimental Equipment Control Module, Storage System Interaction Module and Data Management System Interaction Module. In this way, we have completed the collection of rawdata and metadata, the docking of the data persistent storage system, and the docking of data centralized management.  
poster icon Poster TUPV046 [1.640 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV046  
About • Received ※ 09 October 2021       Revised ※ 06 November 2021       Accepted ※ 15 January 2022       Issue date ※ 15 March 2022
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TUPV047 Controlling the CERN Experimental Area Beams software, controls, database, optics 509
 
  • B. Rae, V. Baggiolini, D. Banerjee, J. Bernhard, M. Brugger, N. Charitonidis, M. Gabriel, A. Gerbershagen, R. Gorbonosov, M. Hrabia, M. Peryt, C. Roderick, G. Romagnoli
    CERN, Geneva, Switzerland
  • L. Gatignon
    Lancaster University, Lancaster, United Kingdom
 
  The CERN fixed target experimental areas are comprised of more than 8km of beam line with around 800 devices used to control and measure the beam. Each year more than 140 groups of users come to perform experiments in these areas, with a need to access the data from these devices. The software to allow this therefore has to be simple, robust, and be able to control and read out all types of beam devices. This contribution describes the functionality of the beamline control system, CESAR, and its evolution. This includes all the features that can be used by the beamline physicists, operators, and device experts that work in the experimental areas. It also underlines the flexibility that the software provides to the experimental users for control of their beam line during data taking, allowing them to manage this in a very easy and independent way. This contribution also covers the on-going work of providing MAD-X support to CESAR to achieve an easier way of developing and integrating beam optics. An overview of the on-going software migration of the Experimental Areas is also given.  
poster icon Poster TUPV047 [1.262 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV047  
About • Received ※ 11 October 2021       Revised ※ 21 October 2021       Accepted ※ 21 December 2021       Issue date ※ 18 January 2022
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TUPV048 Updates and Remote Challenges for IBEX, Beamline Control at ISIS Pulsed Neutron and Muon Source controls, EPICS, Windows, GUI 514
 
  • F.A. Akeroyd, K.V.L. Baker, L. Cole, J.R. Harper, D.P. Keymer, J.C. King, A.J. Long, T. Löhnert, C. Moreton-Smith, D.E. Oram, B. Rai
    STFC/RAL/ISIS, Chilton, Didcot, Oxon, United Kingdom
 
  IBEX is the EPICS based experiment control system now running on most of the beamlines at the ISIS Neutron and Muon Source, with plans to deploy to all remaining beamlines by the end of the upcoming long shutdown. Over the last couple of years we have added support for reflectometry and muon instruments, developed a script generator, moved from Python 2 to Python 3, and continued to build on our suite of device emulators and tests. The reflectometry inclusions required the development of a framework to maintain the complex motion control requirements for that science technique. Whilst it is desirable that IBEX is easily configurable, not all operations should be available to all users, so we have implemented functionality to manage such access. The COVID-19 pandemic has meant we have also had to adapt to greater amounts of remote experiment access, for which we developed systems covering both IBEX and the old SECI control system. This presentation will aim to provide a brief update on the recent changes to IBEX, as well as outlining the remote operation solutions employed  
poster icon Poster TUPV048 [1.332 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV048  
About • Received ※ 10 October 2021       Revised ※ 18 October 2021       Accepted ※ 20 November 2021       Issue date ※ 14 March 2022
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TUPV049 The IBEX Script Generator controls, software, neutron, EPICS 519
 
  • J.C. King, J.R. Harper, A.J. Long, T. Löhnert, D.E. Oram
    STFC/RAL/ISIS, Chilton, Didcot, Oxon, United Kingdom
 
  Experiment scripting is a key element of maximising utilisation of beam time at the ISIS Neutron and Muon Source, but can be prone to typing and logic errors. The IBEX Script Generator enables collaboration between instrument users and scientists to remove the need to write a script for many experiments, so improving reliability and control. For maximum applicability, the script generator needs to be easily configurable. Instrument scientists define action parameters, and functions for action execution, time estimation and validation, to produce a "script definition". A user then generates a Python script by organising a table of actions and their values, which are validated in real time, and can then be submitted to a script server for execution. Py4J is used to bridge a Java front end with Python script definitions. An iterative user-focused approach has been employed with Squish UI testing to achieve a behaviour-driven development workflow, along with Jenkins for continuous integration. Further planned development includes dynamic scripting ’ controlling the execution of actions during the experiment ’ action iteration and user experience improvement.  
poster icon Poster TUPV049 [1.051 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV049  
About • Received ※ 09 October 2021       Revised ※ 19 October 2021       Accepted ※ 20 November 2021       Issue date ※ 23 November 2021
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEAR01 The Tango Controls Collaboration Status in 2021 TANGO, controls, status, SRF 544
 
  • A. Götz, R. Bourtembourg, D. Lacoste, N. Leclercq
    ESRF, Grenoble, France
  • G. Abeillé
    SOLEIL, Gif-sur-Yvette, France
  • B. Bertrand, V. Hardion
    MAX IV Laboratory, Lund University, Lund, Sweden
  • G. Brandl
    MLZ, Garching, Germany
  • T. Braun
    byte physics e.K., Berlin, Germany
  • P.P. Goryl, M. Liszcz
    S2Innovation, Kraków, Poland
  • A.F. Joubert, A.J. Venter
    SARAO, Cape Town, South Africa
  • C. Pascual-Izarra, S. Rubio-Manrique
    ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain
  • L. Pivetta
    Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy
 
  The Tango Controls collaboration has continued to grow since ICALEPCS 2019. Multiple new releases were made of the stable release V9. The new versions include support for new compiler versions, new features and bug fixes. The collaboration has adopted a sustainable approach to kernel development to cope with changes in the community. New projects have adopted Tango Controls while others have completed commissioning of challenging new facilities. This paper will present the status of the Tango-Controls collaboration since 2019 and how it is helping new and old sites to maintain a modern control system.  
slides icon Slides WEAR01 [3.240 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEAR01  
About • Received ※ 10 October 2021       Revised ※ 15 October 2021       Accepted ※ 23 December 2021       Issue date ※ 25 February 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEBL01 FAIRmat - a Consortium of the German Research-Data Infrastructure (NFDI) EPICS, controls, interface, software 558
 
  • H. Junkes, P. Oppermann, R. Schlögl, A. Trunschke
    FHI, Berlin, Germany
  • M. Krieger, H. Weber
    FAU, Erlangen, Germany
 
  A sustainable infrastructure for provision, interlinkage, maintenance, and options for reuse of research data shall be created in Germany in the coming years. The consortium FAIRmat meets the interests of experimental and theoretical condensed-matter physics. This also includes, for example, chemical physics of solids, synthesis, and high-performance computing. All this is demonstrated by use cases from various areas of functional materials. The necessity of a FAIR data infrastructure in the FAIRmat* research field is very pressing. We need and want to support the actual, daily research work to further science. Besides storing, retrieving, and sharing data, a FAIR data infrastructure will also enable a completely new level of research. In the Area D "Digital Infrastructure" a Configurable Experiment Control System is to be developed here as a reference. EPICS was selected as an initial open source base system. The control system of the newly founded CATlab** in Berlin will be fully implemented according to the FAIRmat specifications.
FAIRmat : https://www.fair-di.eu/fairmat/fairmat/consortium
CatLab : https://www.helmholtz-berlin.de/projects/catlab/indexen.html
 
slides icon Slides WEBL01 [5.478 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEBL01  
About • Received ※ 10 October 2021       Revised ※ 22 October 2021       Accepted ※ 21 December 2021       Issue date ※ 08 March 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEBL05 FAIR Meets EMIL: Principles in Practice database, software, GUI, electron 574
 
  • G. Günther, M. Bär, N. Greve, R. Krahl, M. Kubin, O. Mannix, W. Smith, S. Vadilonga, R. Wilks
    HZB, Berlin, Germany
 
  Findability, accessibility, interoperability, and reusability (FAIR) form a set of principles required to ready information for computational exploitation. The Energy Materials In-Situ Laboratory Berlin (EMIL) at BESSY II, with its unique analytical instrumentation in direct combination with an industrially-relevant deposition tool, is in the final phase of commissioning. It provides an ideal testbed to ensure workflows are developed around the FAIR principles; enhancing usability for both human and machine agents. FAIR indicators are applied to assess compliance with the principles on an experimental workflow realized using Bluesky. Additional metadata collection by integrating an instrument PID, an electronic laboratory book, and a sample tracking system is considered along with staff training. Data are collected in Nexus format and made available in the ICAT repository. This paper reports on experiences, problems overcome, and areas still in need of improvement in future perspectives.  
slides icon Slides WEBL05 [0.953 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEBL05  
About • Received ※ 08 October 2021       Accepted ※ 22 December 2021       Issue date ※ 24 February 2022  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEPV001 Temperature Control for Beamline Precision Systems of Sirius/LNLS controls, cryogenics, operation, hardware 607
 
  • J.L. Brito Neto, R.R. Geraldes, F.R. Lena, M.A.L. Moraes, A.C. Piccino Neto, M. Saveri Silva, L.M. Volpe
    LNLS, Campinas, Brazil
 
  Funding: Ministry of Science, Technology and Innovation (MCTI)
Precision beamline systems, such as monochromators and mirrors, as well as sample stages and sample holders, may require fine thermal management to meet performance targets. Regarding the optical elements, the main aspects of interest include substrate integrity, in case of high power loads and densities; wavefront preservation, due to thermal distortions of the optical surfaces; and beam stability, related to thermal drift. Concerning the sample, nanometer positioning control, for example, may be affected by thermal drifts and the power management of some electrical elements. This work presents the temperature control architecture developed in house for precision elements at the first beamlines of Sirius, the 4th-generation light source at the Brazilian Synchrotron Light Laboratory (LNLS). Taking some optical components as case studies, the predictive thermal-model-based approach, the system identification techniques, the controller design workflow and the implementation in hardware are described, as well as the temperature stability results.
 
poster icon Poster WEPV001 [0.914 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV001  
About • Received ※ 15 October 2021       Accepted ※ 22 December 2021       Issue date ※ 21 February 2022  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEPV002 Position Scanning Solutions at the TARUMÃ Station at the CARNAÚBA Beamline at Sirius/LNLS controls, detector, MMI, operation 613
 
  • C.S.N.C. Bueno, L.G. Capovilla, R.R. Geraldes, L.C. Guedes, G.N. Kontogiorgos, L. Martins dos Santos, M.A.L. Moraes, G.B.Z.L. Moreno, A.C. Piccino Neto, J.R. Piton, H.C.N. Tolentino
    LNLS, Campinas, Brazil
 
  Funding: Ministry of Science, Technology and Innovation (MCTI)
TARUMÃ is the sub-microprobe station of the CARNAÚBA beamline at Sirius/LNLS*. Covering the range from 2.05 to 15keV, the probe consists of a fully-coherent monochromatic beam varying from 550 to 120nm with flux of up to 1e11ph/s/100mA after the achromatic focusing optics. Hence, positioning requirements span from nanometer-level errors for high-resolution experiments to fast continuous trajectories for high throughput, whereas a large flexibility is required for different sample setups and simultaneous multi-technique X-ray analyses, including tomography. To achieve this, the overall architecture of the station relies on a pragmatic sample positioning solution, with a rotation stage with a range of 220°, coarse stages for sub-micrometer resolution in a range of 20mm in XYZ and a fine piezo stage for nanometer resolution in a range of 0.3mm in XYZ. Typical scans consist of continuous raster 2D trajectories perpendicularly to the beam, over ranges that vary from tens to hundreds of micrometers, with acquisition times in range of milliseconds. Positioning is based on 4th order trajectories and feedforward, triggering includes the multiple detectors and data storage is addressed
* Geraldes, R.R., et al. ’Design and Commissioning of the TARUMÃ Station at the CARNAÚBA Beamline at Sirius/LNLS’ Proc. MEDSI20 (2020).
 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV002  
About • Received ※ 10 October 2021       Accepted ※ 21 November 2021       Issue date ※ 05 February 2022  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEPV003 The Dynamic Modeling and the Control Architecture of the New High-Dynamic Double-Crystal Monochromator (HD-DCM-Lite) for Sirius/LNLS controls, feedback, synchrotron, electron 619
 
  • G.S. de Albuquerque, J.L. Brito Neto, R.R. Geraldes, M.A.L. Moraes, A.V. Perna, M. Saveri Silva, M.S. Souza
    LNLS, Campinas, Brazil
 
  Funding: Ministry of Science, Technology and Innovation (MCTI)
The High-Dynamic Double-Crystal Monochromator (HD-DCM) has been developed since 2015 at Sirius/LNLS with an innovative high-bandwidth mechatronic architecture to reach the unprecedented target of 10 nrad RMS (1 Hz - 2.5 kHz) in crystals parallelism also during energy flyscans. Now, for beamlines requiring a smaller energy range (3.1 to 43 keV, as compared to 2.3 to 72 keV), there is the opportunity to adapt the existing design towards the so-called HD-DCM-Lite. The control architecture of the HD-DCM is kept, reaching a 20 kHz control rate in NI’s CompactRIO (cRIO). Yet, the smaller gap stroke between crystals allows for removing the long-stroke mechanism and reducing the main inertia by a factor 6, not only simplifying the dynamics of the system, but also enabling faster energy scans. With sinusoidal scans of hundreds of eV up to 20 Hz, this creates an unparalleled bridge between slow step-scan DCMs, and channel-cut quick-EXAFS monochromators. This work presents the dynamic error budgeting and scanning perspectives for the HD-DCM-Lite, including feedback controller design options via loop shaping, feedforward considerations, and leader-follower control strategies.
 
poster icon Poster WEPV003 [1.521 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV003  
About • Received ※ 13 October 2021       Accepted ※ 22 December 2021       Issue date ※ 26 December 2021  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEPV005 Experiment Automation Using EPICS EPICS, controls, detector, network 625
 
  • D.D. Cosic, M. Vićentijević
    RBI, Zagreb, Croatia
 
  Beam time at accelerator facilities around the world is very expensive and scarce, prompting the need for experiments to be performed as efficiently as possible. Efficiency of an accelerator facility is measured as a ratio of experiment time to beam optimization time. At RBI we have four ion sources, two accelerators, ten experimental end stations. We can obtain around 50 different ion species, each requiring a different set of parameters for optimal operation. Automating repetitive procedures can increase efficiency of an experiment and beam setup time. Currently, operators manually fine tunes the parameters to optimize the beam current. This process can be very long and requires many iterations. Automatic optimization of parameters can save valuable accelerator time. Based on a successful implementation of EPICS, the system was expanded to automate reoccurring procedures. To achieve this, a PLC was integrated into EPICS and our acquisition system was modified to communicate with devices through EPICS. This allowed us to use tools available in EPICS to do beam optimization much faster than a human operator can, and therefore significantly increased the efficiency of our facility.  
poster icon Poster WEPV005 [0.468 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV005  
About • Received ※ 08 October 2021       Accepted ※ 21 November 2021       Issue date ※ 16 February 2022  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEPV008 Online Automatic Optimization of the Elettra Synchrotron feedback, booster, controls, TANGO 636
 
  • G. Gaio, S. Krecic, F. Tripaldi
    Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy
 
  Online automatic optimization is a common practice in particle accelerators. Beside the tryouts based on Machine Learning, which are effective especially on non-linear systems and images but are very complex to tune and manage, one of the most simple and robust algorithms, the simplex Nelder Mead, is extensively used at Elettra to automatically optimize the synchrotron parameters. It is currently applied to optimize the efficiency of the booster injector by tuning the pre-injector energy, the trajectory and optics of the transfer lines, and the injection system of the storage ring. It has also been applied to maximize the intensity of the photon beam on a beamline by changing the electron beam position and angle inside the undulator. The optimization algorithm has been embedded in a TANGO device that also implements generic and configurable multi-input multi-output feedback systems. This optimization tool is usually included in a high level automation framework based on behavior trees in charge of the whole process of machine preparation for the experiments.  
poster icon Poster WEPV008 [1.600 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV008  
About • Received ※ 08 October 2021       Accepted ※ 26 January 2022       Issue date ※ 25 February 2022  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEPV022 Sample Alignment in Neutron Scattering Experiments Using Deep Neural Network neutron, network, alignment, scattering 686
 
  • J.P. Edelen, K. Bruhwiler, A. Diaw, C.C. Hall
    RadiaSoft LLC, Boulder, Colorado, USA
  • S. Calder
    ORNL RAD, Oak Ridge, Tennessee, USA
  • C.M. Hoffmann
    ORNL, Oak Ridge, Tennessee, USA
 
  Funding: DOE Office of Science Office of Basic Energy Science SBIR award number DE-SC0021555
Access to neutron scattering centers, such as Oak Ridge National Laboratory (ORNL) and the NIST Center for Neutron Research, has provided beam energies to investigating a wide variety of applications such as particle physics, material science, and biology. In these experiments, the quality of collected data is very sensitive to sample and beam alignment, and stabilization of the experimental environment, requiring human intervention to tune the beam. While this procedure works, it is inefficient and time-consuming. In the work we present progress towards using machine learning to automate the alignment of a beamline in neutron scattering experiments. Our algorithm uses convolutional neural network to both learn a surrogate of the image data of the sample and to predict the sample contour using a u-net. We tested our algorithm on neutron camera images from the H2-BA powder diffractometer and the Topaz single crystal diffractometer beamlines of ORNL.
 
poster icon Poster WEPV022 [4.472 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV022  
About • Received ※ 10 October 2021       Revised ※ 22 October 2021       Accepted ※ 21 December 2021       Issue date ※ 06 February 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEPV026 Multi-Channel Heaters Driver for Sirius Beamline’s Optical Devices controls, synchrotron, hardware, diagnostics 705
 
  • M.M. Donatti, D.H.C. Araujo, F.H. Cardoso, G.B.Z.L. Moreno, L. Sanfelici, G.T. Semissatto
    LNLS, Campinas, Brazil
 
  Thermal management of optomechanical devices, such as mirrors and monochromators, is one of the main bottlenecks in the overall performance of many X-Rays beamlines, particularly for Sirius: the new 4th generation Brazilian synchrotron light source. Due to high intensity photon beams some optical devices need to be cryogenically cooled and a closed-loop temperature control must be implemented to reduce mechanical distortions and instabilities. This work aims to describe the hardware design of a multi-channel driver for vacuum-ready ohmic heaters used in critical optical elements. The device receives PWM signals and can control up to 8 heaters individually. Interlocks and failure management can be implemented using digital signals input/outputs. The driver is equipped with a software programmable current limiter to prevent load overheating and it has voltage/current diagnostics monitored via EPICS or an embedded HTTP server. Enclosed in a 1U rack mount case, the driver can deliver up to 2A per channel in 12V and 24V output voltage versions. Performance measurements will be presented to evaluate functionalities, noise, linearity and bandwidth response.  
poster icon Poster WEPV026 [2.174 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV026  
About • Received ※ 09 October 2021       Accepted ※ 21 November 2021       Issue date ※ 06 December 2021  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEPV036 The LMJ Target Chamber Diagnostic Module vacuum, target, laser, Windows 734
 
  • R. Clot
    CEA, LE BARP cedex, France
 
  The Laser MegaJoule (LMJ), the French 176-beam laser facility, is located at the CEA CESTA Laboratory near Bordeaux (France). It is designed to deliver about 1.4 MJ of energy on targets, for high energy density physics experiments, including fusion experiments. The first bundle of 8-beams was commissioned in October 2014. By the end of 2021, ten bundles of 8-beams are expected to be fully operational. Due to energy levels achieved, optical components located at the end of the bundles are highly subject to damage stresses. This is particularly the case with vacuum windows whose integrity is critical. To measure these damages, identify the growth laws, and prevent their degradation (through blockers), the Target Chamber Diagnostic Module (TCDM) was integrated into the LMJ installation in 2019. This diagnostic, which also measures the windows transmission rate, as well as the spatial energy distribution at the end of the bundles, has been designed to operate automatically at night, between two experiments. This presentation describes this 2 years feedback of TCDM and presents the areas for improvement which have been identified to optimize its efficiency and reduce its timeline.  
slides icon Slides WEPV036 [2.047 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV036  
About • Received ※ 08 October 2021       Accepted ※ 05 January 2022       Issue date ※ 25 January 2022  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEPV037 Development of a Voltage Interlock System for Normal-Conducting Magnets in the Neutrino Experimental Facility at J-PARC power-supply, proton, operation, controls 738
 
  • K. Nakayoshi, Y. Fujii, K. Sakashita
    KEK, Tsukuba, Japan
 
  We are upgrading a beamline of neutrino experimental facility at J-PARC to realize its 1.3MW operation. One of the upgrade items is to strengthen machine protection interlocks at the beamline. So far, we have developed an interlock system that monitors the output current of the power supplies for normal-conducting(NC) magnets at the primary beamline. On the other hand, we observed an event that a coil-short in one of bending magnets at a beam transport line at J-PARC (3-50BT) happened in 2019 and it caused a drift of beam orbit over the time. Our present interlock system can not detect a similar coil-short in the magnet while such change of the beam orbit may cause a serious trouble. One of possible way to detect such coil-short is to monitor a voltage of the magnet coil. Actually, a significant voltage drop between layers of the coil was observed for the 3-50BT magnet coil-short. Focusing on the fact, we are developing a system that constantly monitors the voltage value of the magnets at primary beamline and issues an interlock when there is a fluctuation exceeding a threshold value. We report the progress of development of the system.  
poster icon Poster WEPV037 [7.195 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV037  
About • Received ※ 27 October 2021       Revised ※ 11 November 2021       Accepted ※ 21 November 2021       Issue date ※ 12 January 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEPV047 Supporting Flexible Runtime Control and Storage Ring Operation with the FAIR Settings Management System storage-ring, controls, timing, operation 768
 
  • R. Mueller, J. Fitzek, H.C. Hüther, H. Liebermann, D. Ondreka, A. Schaller, A. Walter
    GSI, Darmstadt, Germany
 
  The FAIR Settings Management system has now been used productively for the GSI accelerator facility operating synchrotrons, storage rings, and transfer lines. The system’s core is being developed in a collaboration with CERN, and is based on CERN’s LHC Software Architecture (LSA) framework. At GSI, 2018 was dedicated to integrating the Beam Scheduling System BSS. Major implementations for storage rings were performed in 2019, while 2020 the main focus was on optimizing the performance of the overall control system. Integrating with the BSS allows us to configure the beam execution directly from the settings management system. Defining signals and conditions enables us to control the runtime behavior of the machine. The storage ring mode supports flexible operation with features allowing to pause the machine and execute in-cycle modifications, using concepts like breakpoints, repetitions, skipping, and manipulation. After providing these major new features and their successful productive use, the focus was shifted on optimizing their performance. The performance was analyzed and improved based on real-word scenarios defined by operations and machine experts.  
poster icon Poster WEPV047 [0.692 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV047  
About • Received ※ 09 October 2021       Accepted ※ 23 November 2021       Issue date ※ 22 December 2021  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
THAL01 Machine Learning Tools Improve BESSY II Operation network, ISOL, simulation, controls 784
 
  • L. Vera Ramiréz, T. Birke, G. Hartmann, R. Müller, M. Ries, A. Schälicke, P. Schnizer
    HZB, Berlin, Germany
 
  At the HZB user facility BESSY II Machine Learning (ML) technologies aim at advanced analysis, automation, explainability and performance improvements for accelerator and beamline operation. The development of these tools is intertwined with improvements of the prediction part of the digital twin instances at BESSY II [*] and the integration into the Bluesky Suite [**,***]. On the accelerator side, several use cases have recently been identified, pipelines designed and models tested. Previous studies applied Deep Reinforcement Learning (RL) to booster current and injection efficiency. RL now tackles a more demanding scenario: the mitigation of harmonic orbit perturbations induced by external civil noise sources. This paper presents methodology, design and simulation phases as well as challenges and first results. Further ML use cases under study are, among others, anomaly detection prototypes with anomaly scores for individual features.
[*] P. Schnizer et. al, IPAC21
[**] D. Allan, T. Caswell, S. Campbell and M. Rakitin, Synchrot. Radiat. News 32 19-22, 2019
[***] W. Smith et. al, this conference
 
slides icon Slides THAL01 [9.849 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THAL01  
About • Received ※ 08 October 2021       Revised ※ 24 October 2021       Accepted ※ 21 November 2021       Issue date ※ 29 January 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
THAL02 Bayesian Techniques for Accelerator Characterization and Control target, controls, simulation, solenoid 791
 
  • R.J. Roussel, A.L. Edelen, C.E. Mayes
    SLAC, Menlo Park, California, USA
  • J.P. Gonzalez-Aguilera, Y.K. Kim
    University of Chicago, Chicago, Illinois, USA
 
  Funding: This work was supported by the U.S. National Science Foundation under Award No. PHY-1549132, the Center for Bright Beams.
Accelerators and other large experimental facilities are complex, noisy systems that are difficult to characterize and control efficiently. Bayesian statistical modeling techniques are well suited to this task, as they minimize the number of experimental measurements needed to create robust models, by incorporating prior, but not necessarily exact, information about the target system. Furthermore, these models inherently take into account noisy and/or uncertain measurements and can react to time-varying systems. Here we will describe several advanced methods for using these models in accelerator characterization and optimization. First, we describe a method for rapid, turn-key exploration of input parameter spaces using little-to-no prior information about the target system. Second, we highlight the use of Multi-Objective Bayesian optimization towards efficiently characterizing the experimental Pareto front of a system. Throughout, we describe how unknown constraints and parameter modification costs are incorporated into these algorithms.
 
slides icon Slides THAL02 [4.453 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THAL02  
About • Received ※ 10 October 2021       Revised ※ 10 November 2021       Accepted ※ 21 November 2021       Issue date ※ 26 December 2021
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
THAR01 MINT, an ITER Tool for Interactive Visualization of Data operation, interface, GUI, electron 809
 
  • L. Abadie, G. Carannante, I. Nunes, J. Panchumarti, S.D. Pinches, S. Simrock, M. Tsalas
    ITER Organization, St. Paul lez Durance, France
  • S.S. Kalsi
    Tata Consultancy Services, Pune, India
  • D.R. Makowski, P. Mazur, P. Perek
    TUL-DMCS, Łódź, Poland
  • A. Neto
    F4E, Barcelona, Spain
 
  ITER will produce large volumes of data that need to be visualized and analyzed. This paper describes the development of a graphical data visualization and exploration tool, MINT (Make Informative and Nice Trends), for plant engineers, operators and physicists. It describes the early development phase from requirements capture to first release covering the mistakes, lessons learnt and future steps. The requirements were collected by interviewing the various stakeholders. The initial neglect of the architecture and user-friendliness turned out to be key points when developing such a tool for a project with a long lifetime like ITER. Modular architecture and clear definition of generic interfaces (abstraction layer) is crucial for such a long lifetime project and makes it ready for future adaptations to new plotting, processing and GUI libraries. The MINT application is based upon the development of an independent plotting library, which acts as a wrapper to the underlying graphical library. This allows scientists and engineers to develop their own specific tools, which are immune to changes of graphical library. The development based on Python uses Qt5 as the visual backend.  
slides icon Slides THAR01 [5.386 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THAR01  
About • Received ※ 08 October 2021       Revised ※ 22 October 2021       Accepted ※ 17 November 2021       Issue date ※ 23 February 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
THAR03 Automated Scheduler Software Based on Metro UI Design for MACE Telescope software, controls, interface, timing 814
 
  • M. Punna, S. Mohanan, P. Sridharan
    BARC, Trombay, Mumbai, India
  • P. Chandra, S.V. Godambe
    Bhabha Atomic Research Centre (BARC), Mumbai, India
 
  MACE Scheduler software generates automated schedule for the observations of preloaded high energy gamma-ray sources. The paper presents the design of MACE Scheduler software covering; source rise/set time calculation algorithms; auto and manual schedule generation; various data visualizations provided for schedule and source visibility reports. The schedule generation for a specific period is automated using a filter workflow. The sources are selected for scheduling by processing the sources through a series of customizable user defined filters; source visibility filter, priority filter, priority resolution filter. The workflow provides flexibility to apply any user tailored filter criteria that can be loaded dynamically using XML schema. Loosely coupled design allowed decoupling the astronomical timing calculation algorithms from schedule preparation workflow. Scheduler provides metro UI based interface for source filtering workflow generating auto-schedule, updating the generated schedules. Tree-map visualization helped to represent hierarchical multi-dimensional schedule information for the selected date range. WPF flat UI control templates focused more on content than chrome  
slides icon Slides THAR03 [0.501 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THAR03  
About • Received ※ 09 October 2021       Revised ※ 19 October 2021       Accepted ※ 21 November 2021       Issue date ※ 03 March 2022
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THPV001 Supervisory System for the Sirius Scientific Facilities EPICS, status, controls, GUI 858
 
  • L.C. Arruda, G.T. Barreto, M.P. Calcanha, H.F. Canova, J.V.B. Franca
    LNLS, Campinas, Brazil
 
  Funding: Work supported by the Brazilian Ministry of Science, Technology and Innovation (MCTI)
A general supervisory system for the scientific facilities is under development at Sirius, the Brazilian 4th generation synchrotron light source. The data generated by different classes of equipment are generally available via EPICS or industrial protocols such as OPC-UA provided by commercial automation systems. However, as the number of beamlines and laboratories expands, the effort to properly gather, display and manage this data also scales up. For this reason, an aggregating supervisory system is proposed to monitor the systems: power distribution, personal safety, beamline components, cryogenic fluids; mechanical utilities, air conditioning, among others. This work presents the overall system architecture, functionalities, and some user interfaces.

 
poster icon Poster THPV001 [1.351 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV001  
About • Received ※ 09 October 2021       Revised ※ 19 October 2021       Accepted ※ 21 November 2021       Issue date ※ 14 February 2022
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THPV021 TATU: A Flexible FPGA-Based Trigger and Timer Unit Created on CompactRIO for the First Sirius Beamlines FPGA, operation, controls, EPICS 908
 
  • J.R. Piton, D. Alnajjar, D.H.C. Araujo, J.L. Brito Neto, L.P. Do Carmo, L.C. Guedes, M.A.L. Moraes
    LNLS, Campinas, Brazil
 
  In the modern synchrotron light sources, the higher brilliance leads to shorter acquisition times at the experimental stations. For most beamlines of the fourth-generation source SIRIUS, it was imperative to shift from the usual software-based synchronization of operations to the much faster triggering by hardware of some key equipment involved in the experiments. As a basis of their control system for devices, the SIRIUS beamlines have standard CompactRIO controllers and I/O modules along the hutches. Equipped with a FPGA and a hard processor running Linux Real-Time, this platform could deal with the triggers from and to other devices, in the order of ms and µs. TATU (Time and Trigger Unit) is a code running in a CompactRIO unit to coordinate multiple triggering conditions and actions. TATU can be either the master pulse generator or the follower of other signals. Complex trigger pattern generation is set from a user-friendly standardized interface. EPICS process variables (by means of LNLS Nheengatu*) are used to set parameters and to follow the execution status. The concept and first field test results in at least four SIRIUS beamlines are presented.
* D. Alnajjar, G. S. Fedel, and J. R. Piton, "Project Nheengatu: EPICS support for CompactRIO FPGA and LabVIEW-RT", ICALEPCS’19, New York, NY, USA, Oct. 2019, paper WEMPL002.
 
poster icon Poster THPV021 [0.618 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV021  
About • Received ※ 10 October 2021       Accepted ※ 21 November 2021       Issue date ※ 02 February 2022  
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THPV036 Laser Driver State Estimation Oriented Data Governance laser, database, data-analysis, data-management 942
 
  • J. Luo, L. Li, Z. Ni, X. Zhou
    CAEP, Sichuan, People’s Republic of China
 
  Laser driver state estimation is an important task dur-ing the operation process for the high-power laser facility, by utilizing measured data to analyze experiment results and laser driver performances. It involves complicated data processing jobs, including data extraction, data cleaning, data fusion, data visualization and so on. Data governance aims to improve the efficiency and quality of data analysis for laser driver state estimation, which fo-cuses on 4 aspects ’ data specification, data cleaning, data exchange, and data integration. The achievements of data governance contribute to not only laser driver state estimation, but also other experimental data analy-sis applications.  
poster icon Poster THPV036 [0.477 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV036  
About • Received ※ 10 October 2021       Revised ※ 24 October 2021       Accepted ※ 21 November 2021       Issue date ※ 22 February 2022
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THPV041 Innovative Methodology Dedicated to the CERN LHC Cryogenic Valves Based on Modern Algorithm for Fault Detection and Predictive Diagnostics cryogenics, controls, operation, diagnostics 959
 
  • M. Pezzetti, A. Amodio, Y. Donon, L. Iodice
    CERN, Geneva, Switzerland
  • P. Arpaia
    Naples University Federico II, Science and Technology Pole, Napoli, Italy
  • F. Gargiulo
    University of Naples Federico II, Naples, Italy
 
  The European Organization for Nuclear Research (CERN) cryogenic infrastructure is composed of many equipment, among them there are the cryogenic valves widely used in the Large Hadron Collider (LHC) cryogenic facility. At present time, diagnostic solutions that can be integrated into the process control systems, capable to identify leak failures in valves bellows, are not available. The authors goal has been the development of a system that allows the detection of helium leaking valves during normal operation using available data extracted from the control system. The design constraints has driven the development towards a solution integrated in the monitoring systems in use, not requiring manual interventions. The methodology presented in this article is based on the extraction of distinctive features (analyzing the data in time and frequency domain) which are exploited in the next phase of machine learning. The aim is to identify a list of candidate valves with a high probability of helium leakage. The proposed methodology, which is at very early stage now, with the evolution of the data set and the iterative approach is aiming toward a cryogenic valves targeted maintenance.  
poster icon Poster THPV041 [1.120 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV041  
About • Received ※ 06 October 2021       Revised ※ 26 October 2021       Accepted ※ 22 December 2021       Issue date ※ 02 March 2022
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FRAL01 The Laser MegaJoule Facility Status Report target, laser, diagnostics, operation 989
 
  • H. Cortey
    CEA, LE BARP cedex, France
 
  The Laser MegaJoule (LMJ), the French 176-beam laser facility, is located at the CEA CESTA Laboratory near Bordeaux (France). It is designed to deliver about 1.4 MJ of energy on targets, for high energy density physics experiments, including fusion experiments. The first bundle of 8-beams was commissioned in October 2014. By the end of 2021, ten bundles of 8-beams are expected to be fully operational. In this paper, we will present: - The LMJ Bundles Status report - The main evolutions of the LMJ facility since ICALEPS 2019: the new target diagnostics commissioned and a new functionality to manage final optic damage with the implementation of blockers in the beam. - the result of a major milestone for the project : ‘Fusion Milestone’  
slides icon Slides FRAL01 [7.812 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-FRAL01  
About • Received ※ 09 October 2021       Revised ※ 01 February 2022       Accepted ※ 22 February 2022       Issue date ※ 01 March 2022
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FRAR03 A Major Update of Web Based Development Toolkit for Control System of Large-Scale Physics Experiment Device controls, EPICS, interface, status 1029
 
  • X.H. Xie, Y.X. Jiang, W. Wang, F.Y. Wu
    HUST, Wuhan, People’s Republic of China
  • S. Li, B. Rao, Y. Yang, M. Zhang, P.L. Zhang, W. Zheng
    Huazhong University of Science and Technology, State Key Laboratory of Advanced Electromagnetic Engineering and Technology,, Hubei, People’s Republic of China
 
  Funding: Most from Ministry of Science and Technology of the people’s Republic of China
The deployment of the control system called CODAC (Control, Data Access and Communications) is necessary for the operation of large-scale experimental facilities. CFET (Control system framework for experimental devic-es toolkit) is a flexible SCADA (supervisory control and data acquisition) software tool, which is used for the construction of a CODAC. CFET is fully based on open web technologies, it is easy to integrate all kinds of systems and devices into CFET. This paper has undergone a major iteration of CFET. HMI has been redesigned and implemented. The control engineer can use a web based WYSIWYG HMI editor to compose the HMI. In CFET, InfluxDB has been integrated. It is used to store the engineering data, and also visualize the data on the website. Docker based microservices architecture has been designed, putting CFET and dependent packages into a lightweight container. At present, CFET has been used in the CO-DAC system of J-TEXT tokamak and HUST Field-Reversed Configuration facility.
 
slides icon Slides FRAR03 [3.726 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-FRAR03  
About • Received ※ 09 October 2021       Revised ※ 26 October 2021       Accepted ※ 21 December 2021       Issue date ※ 25 February 2022
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FRBL03 A Literature Review on the Efforts Made for Employing Machine Learning in Synchrotrons synchrotron, software, real-time, electron 1039
 
  • A. Khaleghi, Z. Aghaei, H. Haedar, I. Iman, K. Mahmoudi
    IKIU, Qazvin, Iran
  • F. Ahmad Mehrabi, M. Akbari, M. Jafarzadeh, A. Khaleghi, P. Navidpour
    ILSF, Tehran, Iran
 
  Using machine learning (ML) in various contexts is in-creasing due to advantages such as automation for every-thing, trends and pattern identification, highly error-prone, and continuous improvement. Even non-computer experts are trying to learn simple programming languages like Python to implement ML models on their data. De-spite the growing trend towards ML, no study has re-viewed the efforts made on using ML in synchrotrons to our knowledge. Therefore, we are examining the efforts made to use ML in synchrotrons to achieve benefits like stabilizing the photon beam without the need for manual calibrations of measures that can be achieved by reducing unwanted fluctuations in the widths of the electron beams that prevent experimental noises obscured measurements. Also, the challenges of using ML in synchrotrons and a short synthesis of the reviewed articles were provided. The paper can help related experts have a general famil-iarization regarding ML applications in synchrotrons and encourage the use of ML in various synchrotron practices. In future research, the aim will be to provide a more com-prehensive synthesis with more details on how to use the ML in synchrotrons.  
slides icon Slides FRBL03 [1.681 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-FRBL03  
About • Received ※ 10 October 2021       Revised ※ 20 October 2021       Accepted ※ 20 November 2021       Issue date ※ 12 March 2022
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FRBR01 Process Automation at SOLEIL: Two Applications Using Robot Manipulators synchrotron, controls, detector, undulator 1054
 
  • L.E. Munoz, Y.-M. Abiven, F. Briquez, J. Da Silva, E. Elkaim, A. Noureddine, V. Pinty, M. Valléau
    SOLEIL, Gif-sur-Yvette, France
  • S. Bouvel
    EFOR, Levallois Perret, France
 
  Robot manipulators are an important component in most autonomous systems in the industry. Arc welding, machine tending, painting, picking, are only some examples where the robot manipulators are widely employed. In Synchrotrons some process can benefit from robotic approaches in order to improve automation. Automatic Sample Changer on beamlines is the most common example of automation. This paper describes two robotic applications developed at Synchrotron SOLEIL. Both applications use the SOLEIL robotic standard introduced some years ago [1]. The first application aims to automate the exchange of samples for powder diffraction experiment on the CRISTAL beamline. Hence, a pick-and-place robot is used to automate the process of picking up the sample holders and placing them on the goniometer. The second application, also of the pick-and-place type, is dedicated to the automation of the magnetic characterization of magnet modules of an U15 undulator. These modules, built with a permanent magnet and two poles, are measured using a pulsed wire method [2]. In this case, the robot picks the modules stored in boxes to then place them on the test bench of the U15 undulator.
*Y.-M. Abiven et al., Robotizing SOLEIL Beamlines to Improve Experiments Automation
**M. Valléau, et al., Measurements of soleil insertion devices using pulsed wire method
 
slides icon Slides FRBR01 [4.934 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-FRBR01  
About • Received ※ 10 October 2021       Revised ※ 27 October 2021       Accepted ※ 21 December 2021       Issue date ※ 19 February 2022
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FRBR02 An Integrated Data Processing and Management Platform for X-Ray Light Source Operations* interface, simulation, real-time, GUI 1059
 
  • N.M. Cook, E.G. Carlin, P. Moeller, R. Nagler, B. Nash
    RadiaSoft LLC, Boulder, Colorado, USA
  • A.M. Barbour, M.S. Rakitin, L. Wiegart
    BNL, Upton, New York, USA
 
  Funding: This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research under Award Number DE-SC00215553.
The design, execution, and analysis of light source experiments requires the use of increasingly complex simulation, controls and data management tools. Existing workflows require significant specialization to account for beamline-specific operations and pre-processing steps in order to collect and prepare data for more sophisticated analysis. Recent efforts to address these needs at the National Synchrotron Light Source II (NSLS-II) have resulted in the creation of the Bluesky data collection framework*, an open-source library providing for experimental control and scientific data collection via high level abstraction of experimental procedures, instrument readouts, and data analysis. We present a prototype data management interface that couples with Bluesky to support guided simulation, measurement, and rapid processing operations. Initial demonstrations illustrate application to coherent X-ray scattering beamlines at the NSLS-II. We then discuss extensions of this interface to permit analysis operations across distributed computing resources, including the use of the Sirepo scientific framework, as well as Jupyter notebooks running on remote computing clusters**.
* M.S. Rakitin et al., Proc. SPIE 11493, Advances in Computational Methods for X-Ray Optics V, p. 1149311, Aug 2020.
** M.S. Rakitin et al., Journal of Synchrotron Radiation, vol. 25, pp. 1877-1892, Nov 2018.
 
slides icon Slides FRBR02 [8.627 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-FRBR02  
About • Received ※ 21 October 2021       Revised ※ 27 October 2021       Accepted ※ 20 November 2021       Issue date ※ 24 January 2022
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FRBR03 Status of Bluesky Deployment at BESSY II controls, EPICS, interface, detector 1064
 
  • W. Smith, S. Kazarski, R. Müller, P. Schnizer, S. Vadilonga, L. Vera Ramiréz
    HZB, Berlin, Germany
 
  The modernization plan for the experimental DAQ at the BESSY II is underpinned by the capabilities provided by the Bluesky software ecosystem. To interface with the hardware Bluesky relies on the Ophyd library, that provides a consistent high-level interface across a wide-range of devices. Many elements of the accelerator, some beamlines and endstations are adopting the Bluesky software. To meet FAIR data obligations, the capture of metadata with Bluesky and the export into a permanent and easily accessible storage called ICAT are investigated. Finally, initial studies to investigate the integration of ML methods, like reinforcement learning were performed. This paper reports on the work that has been done so far at BESSY II to adopt Bluesky, problems that have been overcome and lessons learned.  
slides icon Slides FRBR03 [2.338 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-FRBR03  
About • Received ※ 08 October 2021       Revised ※ 20 October 2021       Accepted ※ 22 December 2021       Issue date ※ 25 February 2022
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