ICALEPCS2021 - List of Keywords (linac)

Paper	Title	Other Keywords	Page
MOPV014	Upgrade of the NewSUBARU Control System	controls, storage-ring, operation, PLC	143
	N. Hosoda, Y. Hamada, M. Ishii, A. Kiyomichi, K. Okada, T. Sugimoto JASRI, Hyogo, Japan T. Fukui RIKEN/SPring-8, Hyogo, Japan
	NewSUBARU has constructed a new dedicated injector in order to separate the operation from SPring-8 and to operate independently. In designing this injector, we tried to share the same components as those of the Tohoku Synchrotron Radiation Facility, which will be completed in 2023, in order to make effective use of human resources. The control system of the injector and the existing storage ring must be constructed as unified system, so the file server, DB server, backbone network, etc. were redesigned using the control system used in SPring-8/SACLA as a control framework. MTCA.4 was used to control the injector, and EtherCAT was used to communicate with the PLC. For the control of the storage ring, the existing equipment configuration was retained and the control framework was migrated. In this paper, we report the details of the NewSUBARU control system.
	Poster MOPV014 [1.048 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV014
About •	Received ※ 08 October 2021 Revised ※ 17 October 2021 Accepted ※ 24 January 2022 Issue date ※ 28 February 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

MOPV018	Linac-200 Gun Control System: Status and Plans	controls, gun, electron, electronics	161
	M.A. Nozdrin, V.V. Kobets, V.F. Minashkin, A. Trifonov JINR, Dubna, Moscow Region, Russia
	Due to the development of the global Tango-based control system for Linac-200 accelerator, the new electron gun control system software was developed. Major gun electronics modification is foreseen. Current gun control system status and modification plans are reported.
	Poster MOPV018 [1.308 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV018
About •	Received ※ 09 October 2021 Revised ※ 19 October 2021 Accepted ※ 04 November 2021 Issue date ※ 03 March 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUAR03	The Control System of the Linac-200 Electron Accelerator at JINR	controls, TANGO, electron, software	302
	A. Trifonov, M. Gostkin, V.V. Kobets, M.A. Nozdrin, A. Zhemchugov, P.P. Zhuravlyov JINR, Dubna, Moscow Region, Russia
	The linear accelerator Linac-200 at JINR is constructed to provide electron test beams with energy up to 200 MeV to carry out particle detector R&D, to perform studies of advanced methods of beam diagnostics, and to work as an irradiation facility for applied research. While the accelerator largely reuses refurbished parts of the MEA accelerator from NIKHEF, the accelerator control system is completely redesigned. A new distributed control system has been developed using the Tango toolkit. The key subsystems of the accelerator (including focusing and steering magnets control, vacuum control system, synchronization system, electron gun control system, precise temperature regulation system) were redesigned or deeply modernized. This report presents the design and the current status of the control system of the Linac-200 machine.
	Slides TUAR03 [1.449 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUAR03
About •	Received ※ 10 October 2021 Revised ※ 16 October 2021 Accepted ※ 22 December 2021 Issue date ※ 27 December 2021
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUBR03	Control System for 6 MeV Linear Accelerator at LINAC Project PINSTECH	controls, EPICS, interface, electron	348
	N.U. Saqib, M. Ajmal, A. Majid, D.A. Nawaz, F. Sher, A. Tanvir PINSTECH, Islamabad, Pakistan
	At LINAC Project PINSTECH, 6 MeV electron linear accelerator prototypes are being developed for medical as well as industrial purposes. Control system of the linear accelerators is a distributed control system mainly comprised of EPICS and PLCs. Graphical User Interface (GUI) are developed using Phoebus Control System Studio (CSS) and Siemens WinCC Advanced software. This paper focuses on design, development and implementation of accelerator control system for various subsystems such as RF, vacuum, cooling as well as safety subsystems. The current status of the control system and services is presented.
	Slides TUBR03 [7.940 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUBR03
About •	Received ※ 10 October 2021 Revised ※ 16 October 2021 Accepted ※ 24 November 2021 Issue date ※ 22 December 2021
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPV027	EPICS DAQ System for Beam Position Monitor at the KOMAC Linac and Beamlines	EPICS, electron, controls, electronics	447
	Y.G. Song, S.Y. Cho, J.H. Kim KOMAC, KAERI, Gyeongju, Republic of Korea
	The KOMAC facility consists of low-energy component, including a 50-keV ion source, a low energy beam transport (LEBT), a 3-MeV radio-frequency quadrupole (RFQ), and a 20-MeV drift tube linac (DTL), as well as high-energy components, including seven DTL tanks for the 100-MeV proton beam. The KOMAC has been operating 20-MeV and 100-MeV proton beam lines to provide proton beams for various applications. Approximately 20 stripline beam position monitors (BPMs) have been installed in KOMAC linac and beamlines. A data-acquisition (DAQ) system has been developed with various platforms in order to monitor beam position signals from linac and beamlines. This paper describes the hardware and software system and test results.
	Poster TUPV027 [1.590 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV027
About •	Received ※ 08 October 2021 Revised ※ 22 October 2021 Accepted ※ 20 November 2021 Issue date ※ 03 December 2021
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEBL04	Manage the Physics Settings on the Modern Accelerator	controls, software, GUI, interface	569
	T. Zhang, K. Fukushima, T. Maruta, P.N. Ostroumov, A.S. Plastun, Q. Zhao FRIB, East Lansing, Michigan, USA
	Funding: U.S. Department of Energy Office of Science under Cooperative Agreement DESC0000661 The Facility for Rare Isotope Beams (FRIB) at Michigan State University is a unique modern user facility composed of a large-scale superconducting linac capable of accelerating heavy-ion beams from oxygen to uranium. An advanced EPICS-based control system is being used to operate this complex facility. High-level physics applications (HLA) developed before and during the staged commissioning of the linac were one of the critical tools that resulted in achieving the commissioning goals quickly, within several shifts. Many of these HLAs are expandable to other EPCIS controlled accelerators. Recent developed HLAs deal with the management of extensive data to achieve the repetitive high performance of ion beams in the entire linac measured by non-destructive diagnostics instruments, and open the possibilities to explore the extra values out of the data. This paper presents our recent significant development and utilization of these HLAs. * T. Zhang et al. ’High-level Physics Controls Applications Development for FRIB’, ICALEPCS’19, TUCPR07, NY, USA, 2019.
	Slides WEBL04 [9.835 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEBL04
About •	Received ※ 19 October 2021 Accepted ※ 21 November 2021 Issue date ※ 02 January 2022
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WEBR03	The Fast Protection System for CSNS Accelerator	ion-source, hardware, operation, power-supply	593
	Y.L. Zhang, D.P. Jin, P. Zhu IHEP, Beijing, People’s Republic of China
	The fast protection system for CSNS accelerator is a FPGA based protection system. The VME bus and SFP was adopted by the FPS. The FPS includes one central station and several sub-stations, and connnections between the central and the sub-stations are in star style. Two kinds of beam stopping modes are designed and implemented by FPS, one is the transient beam stopping and auto recovery mode, the other is the permanent beam stopping mode. The measured response time for the FPS is less than 1.5 micro-seconds.
	Slides WEBR03 [2.773 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEBR03
About •	Received ※ 19 October 2021 Revised ※ 25 January 2022 Accepted ※ 06 February 2022 Issue date ※ 11 February 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEBR04	Safeguarding Large Particle Accelerator Research Facility- A Multilayer Distributed Control Architecture	PLC, controls, radiation, electron	596
	F. Tao SLAC, Menlo Park, California, USA
	Personnel Protection System (PPS) at SLAC is a global safety system responsible for protecting personnel from radiation hazards. The system’s functional design shares similar concepts with machinery safeguarding, though the complexity of PPS is much higher due to its wide geographic distribution, large numbers of devices, and multiple sources of hazards. In this paper, we will first introduce the multilayer distributed control system architecture of SLAC’s PPS, which serves three beam programs, e.g., LCLS, LCLS-II and FACET-II, that exist in the same 4km linear accelerator infrastructure. Composed of 50+ sets of redundant safety PLCs and 20+ access control PLCs, SLAC’s PPS has five layers: beam program, beam switching and permit, zone access control, zone safety control and sensor/shutoff subsystems. With this architecture, safety functions often involve multiple controllers across several layers, make it a challenge on system analysis, design, and testing. Therefore, in this paper, we will also discuss SIL verification, and PPS’s functional safety related issues for this type of complex systems.
	Slides WEBR04 [1.322 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEBR04
About •	Received ※ 15 October 2021 Revised ※ 19 October 2021 Accepted ※ 21 November 2021 Issue date ※ 21 December 2021
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WEPV010	R&D of the KEK Linac Accelerator Tuning Using Machine Learning	injection, network, operation, electron	640
	A. Hisano, M. Iwasaki OCU, Osaka, Japan H. Nagahara, Y. Nakashima, N. Takemura Osaka University, Institute for Datability Science, Oasaka, Japan T. Nakano RCNP, Osaka, Japan I. Satake, M. Satoh KEK, Ibaraki, Japan
	We have developed a machine-learning-based operation tuning scheme for the KEK e⁻/e⁺ injector linac (Linac), to improve the injection efficiency. The tuning scheme is based on the various accelerator operation data (control parameters, monitoring data and environmental data) of Linac. For the studies, we use the accumulated Linac operation data from 2018 to 2021. To solve the problems on the accelerator tuning of, 1. A lot of parameters (~1000) should be tuned, and these parameters are intricately correlated with each other; and 2. Continuous environmental change, due to temperature change, ground motion, tidal force, etc., affects to the operation tuning; We have developed, 1. Visualization of the accelerator parameters (~1000) trend/correlation distribution based on the dimensionality reduction using Variational Autoencoder (VAE), to see the long-term correlation between the accelerator operation parameters and the environmental data, and 2. Accelerator tuning method using the deep neural network, which is continuously updated with the short-term accelerator data to adapt the environment changes. In this presentation, we report the current status of the R&D.
	Poster WEPV010 [1.997 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV010
About •	Received ※ 10 October 2021 Revised ※ 19 October 2021 Accepted ※ 21 November 2021 Issue date ※ 11 January 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPV012	Beam Fast Recovery Study and Application for CAFe	operation, status, proton, controls	648
	J.S. Li, Y.X. Chen, J. Wang, F. Yang, H. Zheng IMP/CAS, Lanzhou, People’s Republic of China
	Based on the MASAR (MAchine Snapshot, Archiving, and Retrieve) system, a beam fast recovery system was designed and tested in CAFe (Chinese ADS Front-end Demo Superconducting Linac) at IMP/CAS for high cur-rent CW (Continuous Wave) beam. The proton beam was accelerated to about 20 MeV with 23 SC (Superconduct-ing) cavities, and the maximum current reaches about 10 mA. The fast-recovery system plays a major role in the 100-hours-100-kW long-term test, during which the aver-age time of the beam recovery is 7 second, achieving the availability higher than 90%. The system verifies the possibility for high current beam fast recovery in CiADS (China initiative Accelerator Driven sub-critical System).
	Poster WEPV012 [0.469 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV012
About •	Received ※ 10 October 2021 Revised ※ 22 October 2021 Accepted ※ 21 November 2021 Issue date ※ 02 March 2022
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WEPV018	The Linac4 Source Autopilot	controls, framework, ion-source, status	665
	M. Peryt, M. Hrabia, D. Noll, R. Scrivens CERN, Geneva, Switzerland
	The Linac4 source is a 2MHz, RF driven, H⁻ ion source, using caesium injection to enhance H⁻ production and lower the electron to H⁻ ratio. The source operates with 800µs long pulses at 1.2 second intervals. The stability of the beam intensity from the source requires adjustment of parameters like RF power used for plasma heating. The Linac4 Source Autopilot improves the stability and uptime of the source, by using high-level automation to monitor and control Device parameters of the source, in a time range of minutes to days. This paper describes the Autopilot framework, which incorporates standard CERN accelerator Controls infrastructure, and enables users to add domain specific code for their needs. User code typically runs continuously, adapting Device settings based on acquisitions. Typical use cases are slow feedback systems and procedure automation (e.g. resetting equipment). The novelty of the Autopilot is the successful integration of the Controls software based predominantly on Java technologies, with domain specific user code written in Python. This allows users to leverage a robust Controls infrastructure, with minimal effort, using the agility of the Python ecosystem.
	Poster WEPV018 [4.371 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV018
About •	Received ※ 10 October 2021 Revised ※ 19 October 2021 Accepted ※ 22 December 2021 Issue date ※ 31 December 2021
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THAL03	Machine Learning Based Middle-Layer for Autonomous Accelerator Operation and Control	controls, operation, vacuum, gun	797
	S. Pioli, B. Buonomo, D. Di Giovenale, C. Di Giulio, L.G. Foggetta, G. Piermarini LNF-INFN, Frascati, Italy F. Cardelli, P. Ciuffetti INFN/LNF, Frascati, Italy V. Martinelli INFN/LNL, Legnaro (PD), Italy
	The Singularity project, led by National Laboratories of Frascati of the National Institute for Nuclear Physics (INFN-LNF), aim to develop automated machine-independent middle-layer to control accelerator operation through machine learning (ML) algorithms like Reinforcement Learning (RL) and Cluster integrated with accelerator’s sub-systems. In this work we will present architecture and of the middle-layer made with main purpose to drive user requests through the control framework backend and allow users to enjoy a better User Experience (UX) handling system performances without facing problems due to the interaction with control system. We will report the strategy to develop autonomous operation control with RL algorithms together with the fault detection capability improved by Clustering approach as breakdown and waveguide and RF cavity thermal stability monitor. Results of the first period of operation of this system, currently operating at the electron-positron LINAC of the Dafne complex in Frascati, autonomously controlling accelerator performance in terms of beam transport, beam current optimization and RF cavity phase-jitter compensation will be reported.
	Slides THAL03 [0.960 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THAL03
About •	Received ※ 19 October 2021 Accepted ※ 22 December 2021 Issue date ※ 16 February 2022
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THPV027	Application of the White Rabbit System at SuperKEKB	distributed, timing, operation, controls	919
	H. Kaji KEK, Ibaraki, Japan Y. Iitsuka EJIT, Hitachi, Ibaraki, Japan
	We employ the White Rabbit system to satisfy the increasing requests from the SuperKEKB operations. The SuperKEKB-type slave node was developed based on the SPEC board and FMC-DIO card. The firmware was customized slightly to realize the SuperKEKB needs. The device/driver for EPICS was developed. The five slave nodes have been operated since the 2021 autumn run. The delivery of the beam permission signal from the central control building to the injector linac is taken care of by new slave nodes. The timing of the abort request signal and the trigger for the abort kicker magnet are recorded with the distributed TDC system. More slave nodes will be installed in the next year to enhance the role of the distributed TDC system.
	Poster THPV027 [1.186 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV027
About •	Received ※ 10 October 2021 Revised ※ 25 October 2021 Accepted ※ 21 November 2021 Issue date ※ 08 January 2022
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THPV028	Analysis of AC Line Fluctuation for Timing System at KEK	timing, injection, operation, positron	923
	D. Wang Sokendai, Ibaraki, Japan Y. Enomoto, K. Furukawa, H. Kaji, F. Miyahara, M. Sato, H. Sugimura KEK, Ibaraki, Japan
	The timing system controls the injection procedure of the accelerator by performing signal synchronization and trigger delivery to the devices all over the installations at KEK. The trigger signals is usually generated at the same phase of an AC power line to reduce the unwanted variation of the beam quality. This requirement originates from the power supply systems. However, the AC line synchronization conflicts with the bucket selection process of SuperKEKB low energy ring (LER) which stores the positron beam. The positron beam is firstly injected into a damping ring (DR) to lower the emittance before entering desired RF bucket in LER. A long bucket selection cycle for DR and LER makes it difficult to coincide with AC line every injection pulse. This trouble is solved by grouping several injection pulses into various of injection sequences and manipulating the length of sequences to adjust the AC line arrival timing. Therefore, the timing system is sensitive to drastically AC line fluctuation. The failure of timing system caused by strong AC line fluctuation and solutions are introduced in this work.
	Poster THPV028 [1.010 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV028
About •	Received ※ 17 October 2021 Revised ※ 28 October 2021 Accepted ※ 21 November 2021 Issue date ※ 09 December 2021
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THPV037	The Implementation of the Beam Profile Application for KOMAC Beam Emittance	EPICS, controls, proton, emittance	947
	J.H. Kim, S.Y. Cho, S. Lee, Y.G. Song, S.P. Yun KOMAC, KAERI, Gyeongju, Republic of Korea
	Funding: This work was supported by the Ministry of Science, ICT & Future Planning of the Korean Government. Korea Multi-purpose Accelerator Complex(KOMAC) has been operating a 100 MeV proton linear accelerator that accelerates a beam using ion source, a radio frequency quadrupole(RFQ), 11 drift tube linac(DTL). And the accelerated protons are transported to target rooms that meets the conditions required by the users. It is important to figure out the beam profile of the proton linac to provide the proper beam condition to users. We installed 8 wire scanners to measure beam emittance of KOMAC at beam lines. And beam profile application to measure beam emittance has been implemented using EPICS and python. This paper will describe the implementation of the beam profile application for KOMAC beam emittance.
	Poster THPV037 [1.722 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV037
About •	Received ※ 08 October 2021 Revised ※ 21 October 2021 Accepted ※ 21 November 2021 Issue date ※ 27 February 2022
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THPV043	Using AI for Management of Field Emission in SRF Linacs	radiation, cavity, operation, detector	970
	A. Carpenter, P. Degtiarenko, R. Suleiman, C. Tennant, D.L. Turner, L.S. Vidyaratne JLab, Newport News, Virginia, USA K.M. Iftekharuddin, M. Rahman ODU, Norfolk, Virginia, USA
	Funding: This work supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics under Contract No. DE-AC05-06OR23177. Field emission control, mitigation, and reduction is critical for reliable operation of high gradient superconducting radio-frequency (SRF) accelerators. With the SRF cavities at high gradients, the field emission of electrons from cavity walls can occur and will impact the operational gradient, radiological environment via activated components, and reliability of CEBAF’s two linacs. A new effort has started to minimize field emission in the CEBAF linacs by re-distributing cavity gradients. To measure radiation levels, newly designed neutron and gamma radiation dose rate monitors have been installed in both linacs. Artificial intelligence (AI) techniques will be used to identify cavities with high levels of field emission based on control system data such as radiation levels, cryogenic readbacks, and vacuum loads. The gradients on the most offending cavities will be reduced and compensated for by increasing the gradients on least offensive cavities. Training data will be collected during this year’s operational program and initial implementation of AI models will be deployed. Preliminary results and future plans are presented.
	Poster THPV043 [1.857 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV043
About •	Received ※ 08 October 2021 Revised ※ 21 October 2021 Accepted ※ 21 November 2021 Issue date ※ 14 December 2021
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

MOPV014

Upgrade of the NewSUBARU Control System

controls, storage-ring, operation, PLC

143

N. Hosoda, Y. Hamada, M. Ishii, A. Kiyomichi, K. Okada, T. Sugimoto
JASRI, Hyogo, Japan
T. Fukui
RIKEN/SPring-8, Hyogo, Japan

NewSUBARU has constructed a new dedicated injector in order to separate the operation from SPring-8 and to operate independently. In designing this injector, we tried to share the same components as those of the Tohoku Synchrotron Radiation Facility, which will be completed in 2023, in order to make effective use of human resources. The control system of the injector and the existing storage ring must be constructed as unified system, so the file server, DB server, backbone network, etc. were redesigned using the control system used in SPring-8/SACLA as a control framework. MTCA.4 was used to control the injector, and EtherCAT was used to communicate with the PLC. For the control of the storage ring, the existing equipment configuration was retained and the control framework was migrated. In this paper, we report the details of the NewSUBARU control system.

Poster MOPV014 [1.048 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV014

About •

Received ※ 08 October 2021 Revised ※ 17 October 2021 Accepted ※ 24 January 2022 Issue date ※ 28 February 2022

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

MOPV018

Linac-200 Gun Control System: Status and Plans

controls, gun, electron, electronics

161

M.A. Nozdrin, V.V. Kobets, V.F. Minashkin, A. Trifonov
JINR, Dubna, Moscow Region, Russia

Due to the development of the global Tango-based control system for Linac-200 accelerator, the new electron gun control system software was developed. Major gun electronics modification is foreseen. Current gun control system status and modification plans are reported.

Poster MOPV018 [1.308 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV018

About •

Received ※ 09 October 2021 Revised ※ 19 October 2021 Accepted ※ 04 November 2021 Issue date ※ 03 March 2022

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUAR03

The Control System of the Linac-200 Electron Accelerator at JINR

controls, TANGO, electron, software

302

A. Trifonov, M. Gostkin, V.V. Kobets, M.A. Nozdrin, A. Zhemchugov, P.P. Zhuravlyov
JINR, Dubna, Moscow Region, Russia

The linear accelerator Linac-200 at JINR is constructed to provide electron test beams with energy up to 200 MeV to carry out particle detector R&D, to perform studies of advanced methods of beam diagnostics, and to work as an irradiation facility for applied research. While the accelerator largely reuses refurbished parts of the MEA accelerator from NIKHEF, the accelerator control system is completely redesigned. A new distributed control system has been developed using the Tango toolkit. The key subsystems of the accelerator (including focusing and steering magnets control, vacuum control system, synchronization system, electron gun control system, precise temperature regulation system) were redesigned or deeply modernized. This report presents the design and the current status of the control system of the Linac-200 machine.

Slides TUAR03 [1.449 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUAR03

About •

Received ※ 10 October 2021 Revised ※ 16 October 2021 Accepted ※ 22 December 2021 Issue date ※ 27 December 2021

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUBR03

Control System for 6 MeV Linear Accelerator at LINAC Project PINSTECH

controls, EPICS, interface, electron

348

N.U. Saqib, M. Ajmal, A. Majid, D.A. Nawaz, F. Sher, A. Tanvir
PINSTECH, Islamabad, Pakistan

At LINAC Project PINSTECH, 6 MeV electron linear accelerator prototypes are being developed for medical as well as industrial purposes. Control system of the linear accelerators is a distributed control system mainly comprised of EPICS and PLCs. Graphical User Interface (GUI) are developed using Phoebus Control System Studio (CSS) and Siemens WinCC Advanced software. This paper focuses on design, development and implementation of accelerator control system for various subsystems such as RF, vacuum, cooling as well as safety subsystems. The current status of the control system and services is presented.

Slides TUBR03 [7.940 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUBR03

About •

Received ※ 10 October 2021 Revised ※ 16 October 2021 Accepted ※ 24 November 2021 Issue date ※ 22 December 2021

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPV027

EPICS DAQ System for Beam Position Monitor at the KOMAC Linac and Beamlines

EPICS, electron, controls, electronics

447

Y.G. Song, S.Y. Cho, J.H. Kim
KOMAC, KAERI, Gyeongju, Republic of Korea

The KOMAC facility consists of low-energy component, including a 50-keV ion source, a low energy beam transport (LEBT), a 3-MeV radio-frequency quadrupole (RFQ), and a 20-MeV drift tube linac (DTL), as well as high-energy components, including seven DTL tanks for the 100-MeV proton beam. The KOMAC has been operating 20-MeV and 100-MeV proton beam lines to provide proton beams for various applications. Approximately 20 stripline beam position monitors (BPMs) have been installed in KOMAC linac and beamlines. A data-acquisition (DAQ) system has been developed with various platforms in order to monitor beam position signals from linac and beamlines. This paper describes the hardware and software system and test results.

Poster TUPV027 [1.590 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV027

About •

Received ※ 08 October 2021 Revised ※ 22 October 2021 Accepted ※ 20 November 2021 Issue date ※ 03 December 2021

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEBL04

Manage the Physics Settings on the Modern Accelerator

controls, software, GUI, interface

569

T. Zhang, K. Fukushima, T. Maruta, P.N. Ostroumov, A.S. Plastun, Q. Zhao
FRIB, East Lansing, Michigan, USA

Funding: U.S. Department of Energy Office of Science under Cooperative Agreement DESC0000661
The Facility for Rare Isotope Beams (FRIB) at Michigan State University is a unique modern user facility composed of a large-scale superconducting linac capable of accelerating heavy-ion beams from oxygen to uranium. An advanced EPICS-based control system is being used to operate this complex facility. High-level physics applications (HLA) developed before and during the staged commissioning of the linac were one of the critical tools that resulted in achieving the commissioning goals quickly, within several shifts. Many of these HLAs are expandable to other EPCIS controlled accelerators. Recent developed HLAs deal with the management of extensive data to achieve the repetitive high performance of ion beams in the entire linac measured by non-destructive diagnostics instruments, and open the possibilities to explore the extra values out of the data. This paper presents our recent significant development and utilization of these HLAs.
* T. Zhang et al. ’High-level Physics Controls Applications Development for FRIB’, ICALEPCS’19, TUCPR07, NY, USA, 2019.

Slides WEBL04 [9.835 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEBL04

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Received ※ 19 October 2021 Accepted ※ 21 November 2021 Issue date ※ 02 January 2022

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WEBR03

The Fast Protection System for CSNS Accelerator

ion-source, hardware, operation, power-supply

593

Y.L. Zhang, D.P. Jin, P. Zhu
IHEP, Beijing, People’s Republic of China

The fast protection system for CSNS accelerator is a FPGA based protection system. The VME bus and SFP was adopted by the FPS. The FPS includes one central station and several sub-stations, and connnections between the central and the sub-stations are in star style. Two kinds of beam stopping modes are designed and implemented by FPS, one is the transient beam stopping and auto recovery mode, the other is the permanent beam stopping mode. The measured response time for the FPS is less than 1.5 micro-seconds.

Slides WEBR03 [2.773 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEBR03

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Received ※ 19 October 2021 Revised ※ 25 January 2022 Accepted ※ 06 February 2022 Issue date ※ 11 February 2022

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WEBR04

Safeguarding Large Particle Accelerator Research Facility- A Multilayer Distributed Control Architecture

PLC, controls, radiation, electron

596

F. Tao
SLAC, Menlo Park, California, USA

Personnel Protection System (PPS) at SLAC is a global safety system responsible for protecting personnel from radiation hazards. The system’s functional design shares similar concepts with machinery safeguarding, though the complexity of PPS is much higher due to its wide geographic distribution, large numbers of devices, and multiple sources of hazards. In this paper, we will first introduce the multilayer distributed control system architecture of SLAC’s PPS, which serves three beam programs, e.g., LCLS, LCLS-II and FACET-II, that exist in the same 4km linear accelerator infrastructure. Composed of 50+ sets of redundant safety PLCs and 20+ access control PLCs, SLAC’s PPS has five layers: beam program, beam switching and permit, zone access control, zone safety control and sensor/shutoff subsystems. With this architecture, safety functions often involve multiple controllers across several layers, make it a challenge on system analysis, design, and testing. Therefore, in this paper, we will also discuss SIL verification, and PPS’s functional safety related issues for this type of complex systems.

Slides WEBR04 [1.322 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEBR04

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Received ※ 15 October 2021 Revised ※ 19 October 2021 Accepted ※ 21 November 2021 Issue date ※ 21 December 2021

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WEPV010

R&D of the KEK Linac Accelerator Tuning Using Machine Learning

injection, network, operation, electron

640

A. Hisano, M. Iwasaki
OCU, Osaka, Japan
H. Nagahara, Y. Nakashima, N. Takemura
Osaka University, Institute for Datability Science, Oasaka, Japan
T. Nakano
RCNP, Osaka, Japan
I. Satake, M. Satoh
KEK, Ibaraki, Japan

We have developed a machine-learning-based operation tuning scheme for the KEK e⁻/e⁺ injector linac (Linac), to improve the injection efficiency. The tuning scheme is based on the various accelerator operation data (control parameters, monitoring data and environmental data) of Linac. For the studies, we use the accumulated Linac operation data from 2018 to 2021. To solve the problems on the accelerator tuning of, 1. A lot of parameters (~1000) should be tuned, and these parameters are intricately correlated with each other; and 2. Continuous environmental change, due to temperature change, ground motion, tidal force, etc., affects to the operation tuning; We have developed, 1. Visualization of the accelerator parameters (~1000) trend/correlation distribution based on the dimensionality reduction using Variational Autoencoder (VAE), to see the long-term correlation between the accelerator operation parameters and the environmental data, and 2. Accelerator tuning method using the deep neural network, which is continuously updated with the short-term accelerator data to adapt the environment changes. In this presentation, we report the current status of the R&D.

Poster WEPV010 [1.997 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV010

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Received ※ 10 October 2021 Revised ※ 19 October 2021 Accepted ※ 21 November 2021 Issue date ※ 11 January 2022

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WEPV012

Beam Fast Recovery Study and Application for CAFe

operation, status, proton, controls

648

J.S. Li, Y.X. Chen, J. Wang, F. Yang, H. Zheng
IMP/CAS, Lanzhou, People’s Republic of China

Based on the MASAR (MAchine Snapshot, Archiving, and Retrieve) system, a beam fast recovery system was designed and tested in CAFe (Chinese ADS Front-end Demo Superconducting Linac) at IMP/CAS for high cur-rent CW (Continuous Wave) beam. The proton beam was accelerated to about 20 MeV with 23 SC (Superconduct-ing) cavities, and the maximum current reaches about 10 mA. The fast-recovery system plays a major role in the 100-hours-100-kW long-term test, during which the aver-age time of the beam recovery is 7 second, achieving the availability higher than 90%. The system verifies the possibility for high current beam fast recovery in CiADS (China initiative Accelerator Driven sub-critical System).

Poster WEPV012 [0.469 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV012

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Received ※ 10 October 2021 Revised ※ 22 October 2021 Accepted ※ 21 November 2021 Issue date ※ 02 March 2022

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WEPV018

The Linac4 Source Autopilot

controls, framework, ion-source, status

665

M. Peryt, M. Hrabia, D. Noll, R. Scrivens
CERN, Geneva, Switzerland

The Linac4 source is a 2MHz, RF driven, H⁻ ion source, using caesium injection to enhance H⁻ production and lower the electron to H⁻ ratio. The source operates with 800µs long pulses at 1.2 second intervals. The stability of the beam intensity from the source requires adjustment of parameters like RF power used for plasma heating. The Linac4 Source Autopilot improves the stability and uptime of the source, by using high-level automation to monitor and control Device parameters of the source, in a time range of minutes to days. This paper describes the Autopilot framework, which incorporates standard CERN accelerator Controls infrastructure, and enables users to add domain specific code for their needs. User code typically runs continuously, adapting Device settings based on acquisitions. Typical use cases are slow feedback systems and procedure automation (e.g. resetting equipment). The novelty of the Autopilot is the successful integration of the Controls software based predominantly on Java technologies, with domain specific user code written in Python. This allows users to leverage a robust Controls infrastructure, with minimal effort, using the agility of the Python ecosystem.

Poster WEPV018 [4.371 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV018

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Received ※ 10 October 2021 Revised ※ 19 October 2021 Accepted ※ 22 December 2021 Issue date ※ 31 December 2021

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THAL03

Machine Learning Based Middle-Layer for Autonomous Accelerator Operation and Control

controls, operation, vacuum, gun

797

S. Pioli, B. Buonomo, D. Di Giovenale, C. Di Giulio, L.G. Foggetta, G. Piermarini
LNF-INFN, Frascati, Italy
F. Cardelli, P. Ciuffetti
INFN/LNF, Frascati, Italy
V. Martinelli
INFN/LNL, Legnaro (PD), Italy

The Singularity project, led by National Laboratories of Frascati of the National Institute for Nuclear Physics (INFN-LNF), aim to develop automated machine-independent middle-layer to control accelerator operation through machine learning (ML) algorithms like Reinforcement Learning (RL) and Cluster integrated with accelerator’s sub-systems. In this work we will present architecture and of the middle-layer made with main purpose to drive user requests through the control framework backend and allow users to enjoy a better User Experience (UX) handling system performances without facing problems due to the interaction with control system. We will report the strategy to develop autonomous operation control with RL algorithms together with the fault detection capability improved by Clustering approach as breakdown and waveguide and RF cavity thermal stability monitor. Results of the first period of operation of this system, currently operating at the electron-positron LINAC of the Dafne complex in Frascati, autonomously controlling accelerator performance in terms of beam transport, beam current optimization and RF cavity phase-jitter compensation will be reported.

Slides THAL03 [0.960 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THAL03

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Received ※ 19 October 2021 Accepted ※ 22 December 2021 Issue date ※ 16 February 2022

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THPV027

Application of the White Rabbit System at SuperKEKB

distributed, timing, operation, controls

919

H. Kaji
KEK, Ibaraki, Japan
Y. Iitsuka
EJIT, Hitachi, Ibaraki, Japan

We employ the White Rabbit system to satisfy the increasing requests from the SuperKEKB operations. The SuperKEKB-type slave node was developed based on the SPEC board and FMC-DIO card. The firmware was customized slightly to realize the SuperKEKB needs. The device/driver for EPICS was developed. The five slave nodes have been operated since the 2021 autumn run. The delivery of the beam permission signal from the central control building to the injector linac is taken care of by new slave nodes. The timing of the abort request signal and the trigger for the abort kicker magnet are recorded with the distributed TDC system. More slave nodes will be installed in the next year to enhance the role of the distributed TDC system.

Poster THPV027 [1.186 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV027

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Received ※ 10 October 2021 Revised ※ 25 October 2021 Accepted ※ 21 November 2021 Issue date ※ 08 January 2022

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THPV028

Analysis of AC Line Fluctuation for Timing System at KEK

timing, injection, operation, positron

923

D. Wang
Sokendai, Ibaraki, Japan
Y. Enomoto, K. Furukawa, H. Kaji, F. Miyahara, M. Sato, H. Sugimura
KEK, Ibaraki, Japan

The timing system controls the injection procedure of the accelerator by performing signal synchronization and trigger delivery to the devices all over the installations at KEK. The trigger signals is usually generated at the same phase of an AC power line to reduce the unwanted variation of the beam quality. This requirement originates from the power supply systems. However, the AC line synchronization conflicts with the bucket selection process of SuperKEKB low energy ring (LER) which stores the positron beam. The positron beam is firstly injected into a damping ring (DR) to lower the emittance before entering desired RF bucket in LER. A long bucket selection cycle for DR and LER makes it difficult to coincide with AC line every injection pulse. This trouble is solved by grouping several injection pulses into various of injection sequences and manipulating the length of sequences to adjust the AC line arrival timing. Therefore, the timing system is sensitive to drastically AC line fluctuation. The failure of timing system caused by strong AC line fluctuation and solutions are introduced in this work.

Poster THPV028 [1.010 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV028

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Received ※ 17 October 2021 Revised ※ 28 October 2021 Accepted ※ 21 November 2021 Issue date ※ 09 December 2021

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THPV037

The Implementation of the Beam Profile Application for KOMAC Beam Emittance

EPICS, controls, proton, emittance

947

J.H. Kim, S.Y. Cho, S. Lee, Y.G. Song, S.P. Yun
KOMAC, KAERI, Gyeongju, Republic of Korea

Funding: This work was supported by the Ministry of Science, ICT & Future Planning of the Korean Government.
Korea Multi-purpose Accelerator Complex(KOMAC) has been operating a 100 MeV proton linear accelerator that accelerates a beam using ion source, a radio frequency quadrupole(RFQ), 11 drift tube linac(DTL). And the accelerated protons are transported to target rooms that meets the conditions required by the users. It is important to figure out the beam profile of the proton linac to provide the proper beam condition to users. We installed 8 wire scanners to measure beam emittance of KOMAC at beam lines. And beam profile application to measure beam emittance has been implemented using EPICS and python. This paper will describe the implementation of the beam profile application for KOMAC beam emittance.

Poster THPV037 [1.722 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV037

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Received ※ 08 October 2021 Revised ※ 21 October 2021 Accepted ※ 21 November 2021 Issue date ※ 27 February 2022

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THPV043

Using AI for Management of Field Emission in SRF Linacs

radiation, cavity, operation, detector

970

A. Carpenter, P. Degtiarenko, R. Suleiman, C. Tennant, D.L. Turner, L.S. Vidyaratne
JLab, Newport News, Virginia, USA
K.M. Iftekharuddin, M. Rahman
ODU, Norfolk, Virginia, USA

Funding: This work supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics under Contract No. DE-AC05-06OR23177.
Field emission control, mitigation, and reduction is critical for reliable operation of high gradient superconducting radio-frequency (SRF) accelerators. With the SRF cavities at high gradients, the field emission of electrons from cavity walls can occur and will impact the operational gradient, radiological environment via activated components, and reliability of CEBAF’s two linacs. A new effort has started to minimize field emission in the CEBAF linacs by re-distributing cavity gradients. To measure radiation levels, newly designed neutron and gamma radiation dose rate monitors have been installed in both linacs. Artificial intelligence (AI) techniques will be used to identify cavities with high levels of field emission based on control system data such as radiation levels, cryogenic readbacks, and vacuum loads. The gradients on the most offending cavities will be reduced and compensated for by increasing the gradients on least offensive cavities. Training data will be collected during this year’s operational program and initial implementation of AI models will be deployed. Preliminary results and future plans are presented.

Poster THPV043 [1.857 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV043

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Received ※ 08 October 2021 Revised ※ 21 October 2021 Accepted ※ 21 November 2021 Issue date ※ 14 December 2021

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