ICALEPCS2019 - List of Keywords (injection)

Paper	Title	Other Keywords	Page
MOPHA067	New Injection Information Archiver for SuperKEKB	network, linac, operation, EPICS	370
	H. Kaji KEK, Ibaraki, Japan
	We upgraded the Injection Archiver System of the SuperKEKB collider. It records the information related with the beam injection. The system is configured on the EPICS network. The database server employs Archiver Appliance as the database management system. In addition, the distributed shared memory is installed on the database server. Its memory area is synchronized with other nodes such as bunch current monitor via the optical connection. Therefore the database server can collect the data like bunch current at the RF-bucket which the beam pulse is injected. By using this dedicated optical network, we succeed the high-speed and stable data acquisition. The injection data can be recorded, pulse-by-pulse, in 50 Hz without any packet loss.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA067
About •	paper received ※ 03 October 2019 paper accepted ※ 23 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

MOPHA145	Evolution of the CERN LINAC 4 Intensity Interlock System Using a Generic, Real-Time Comparator in C++	linac, software, MMI, hardware	570
	A. Topaloudis, J.C. Allica Santamaria CERN, Geneva, Switzerland
	During the commissioning phase of LINAC 4, three watchdog interlock systems were used to protect the accelerator and its equipment. These systems cut the beam if losses, calculated by combining the intensity measurements at various locations, exceed some predefined thresholds. While the existing systems were designed to be simple and robust to ensure safety, the future connection of the linac to the Proton Synchrotron Booster (PSB) requires new instances of these systems with additional requirements. Such requirements include the remote communication of the watchdogs with the intensity measurement systems to decouple any physical dependency between the two systems, and the arithmetical/logical combination of the measured data based on the watchdog location. As the Controls Interlocks Beam User (CIBU) hardware interface to the Beam Interlock Controller (BIC) is simple, the software part of the system can be re-designed to be application agnostic giving a single decision after performing a configurable set of comparisons. This paper describes the upgrade of the software of the existing watchdog interlock system to a generic comparator, enabling its usage for other applications.
	Poster MOPHA145 [1.008 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA145
About •	paper received ※ 27 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUCPL01	Adding Machine Learning to the Analysis and Optimization Toolsets at the Light Source BESSY II	booster, controls, network, operation	754
	L. Vera Ramirez, T. Mertens, R. Müller, J. Viefhaus HZB, Berlin, Germany G. Hartmann University of Kassel, Kassel, Germany
	The Helmholtz Association has initiated the implementation of the Data Management and Analysis concept across its centers in Germany. At Helmholtz-Zentrum Berlin, both the beamline and the machine (accelerator) groups have started working towards setting up the infrastructure and tools to introduce modern analysis, optimization, automation and AI techniques for improving the performance of the (large scale) user facility and its experimental setups. This paper focuses on our first steps with Machine Learning techniques over the past months at BESSY II as well as organizational topics and collaborations. The presented results correspond to two complementary scenarios. The first one is based on supervised ML models trained with real accelerator data, whose target are real-time predictions for several measurements (lifetime, efficiency, beam loss, …); some of these techniques are also used for additional tasks such as outlier detection or feature importance analysis. The second scenario includes first prototypes towards self-tuning of machine parameters in different optimization cases (injection efficiency, orbit correction, …) with Deep Reinforcement Learning agents.
	Slides TUCPL01 [8.894 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUCPL01
About •	paper received ※ 27 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPHA065	Upgraded Beam Instrumentation DAQ for GSI and FAIR: Overview and First Experiences	controls, timing, software, extraction	1248
	T. Hoffmann, H. Bräuning GSI, Darmstadt, Germany
	As construction of the FAIR accelerator complex progresses, the existing heavy ion synchroton SIS18, the storage ring ESR and the high energy beam transfer lines HEBT have been upgraded to the future control system. Within this upgrade the beam instrumentation (BI) data acquisition systems (DAQ) have been heavily modernized too. These are now integrated into the control system with its White Rabbit based timing system, data supply (i.e. ion species, energy, etc) and services like archiving. Dedicated clients running in the main control room allow visualization and correlation of the data and status of the BI devices. The DAQ hardware has been upgraded using new state-of-the-art components. With a trend to slowly phase out VME based systems, solutions based on standard Industrial PC for few channels as well as on the new µTCA standard for many channels have been successfully implemented. This contribution will give an overview over the upgraded BI-DAQ systems like current transformers and counter applications for ionization chambers, scintillators, and more. It will also present first experiences during beam operation with the new control system, which started summer last year.
	Poster WEPHA065 [2.710 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA065
About •	paper received ※ 30 September 2019 paper accepted ※ 09 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPHA081	Analysis and Diagnostic Toolkit for Operation Event in the NSRRC	operation, power-supply, controls, toolkit	1280
	C.H. Kuo, B.Y. Chen, H.H. Chen, H.C. Chen, T.W. Hsu, B.Y. Huang, S.J. Huang, T.Y. Lee, J.A. Li, W.Y. Lin, Y.K. Lin NSRRC, Hsinchu, Taiwan
	Taiwan Photon Source (TPS) and Taiwan light source (TLS) have been operated in the same time. TPS is a 3 GeV electron energy, 518 m circumference, low-emittance synchrotron storage ring which will offer one of the synchrotron x-ray sources, provide cutting-edge experimental facilities and novel multidisciplinary scientific research. TLS is a 1.5 Gev electron energy. The control system is difference between two facilities. Amount of instruments and devices these must be monitored and controlled by operator. The difference diagnostic tools will be difficult to operate and analysis between two system. These utility toolkits are effective to reduce operator loading. However, these tools are developed with same concept, combined with two difference machine is effective and reduce maintenance efforts. These applications of software will be reported in this conference.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA081
About •	paper received ※ 02 October 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THAPP03	Construction of Beam Monitor Control System for Beam Transport From SACLA to SPring-8	controls, operation, software, beam-transport	1544
	A. Kiyomichi, N. Hosoda, M. Yamaga JASRI, Hyogo, Japan T. Fukui RIKEN SPring-8 Center, Innovative Light Sources Division, Hyogo, Japan M. Ishii JASRI/SPring-8, Hyogo-ken, Japan H. Maesaka RIKEN SPring-8 Center, Sayo-cho, Sayo-gun, Hyogo, Japan
	In a part of the SPring-8 upgrade project, the SACLA linac will be used as the injector for the SPring-8 storage ring. We will upgrade the beam monitor system for beam transport, which consists of screen monitor (SCM), beam position monitor (BPM) and current monitor (CT). For the SCM, we adopted GigE Vision standard for the CCD camera and EtherCAT as a field bus for the stepper motor control of focusing system. We have developed camera control software using open source libraries to integrate various vendors’ GigE Vision cameras with the SPring-8 control framework. A grabbed image is stored into the file server and property, such as camera settings for image and event number, is stored into the database. The BPM is a key device for precise and stable injection. We adopted the commercially available MTCA.4 fast ADC/DAC module with modified firmware developed for readout of the BPM and the CT. We are developing acquisition software for MTCA.4 modules to synchronize with a beam trigger. The acquired data are stored into the database with time stamp and event number. We present the preparation of beam monitor control system for the beam transport to injection from SACLA to SPring-8.
	Slides THAPP03 [9.593 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-THAPP03
About •	paper received ※ 01 October 2019 paper accepted ※ 09 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

MOPHA067

New Injection Information Archiver for SuperKEKB

network, linac, operation, EPICS

370

H. Kaji
KEK, Ibaraki, Japan

We upgraded the Injection Archiver System of the SuperKEKB collider. It records the information related with the beam injection. The system is configured on the EPICS network. The database server employs Archiver Appliance as the database management system. In addition, the distributed shared memory is installed on the database server. Its memory area is synchronized with other nodes such as bunch current monitor via the optical connection. Therefore the database server can collect the data like bunch current at the RF-bucket which the beam pulse is injected. By using this dedicated optical network, we succeed the high-speed and stable data acquisition. The injection data can be recorded, pulse-by-pulse, in 50 Hz without any packet loss.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA067

About •

paper received ※ 03 October 2019 paper accepted ※ 23 October 2019 issue date ※ 30 August 2020

Export •

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

MOPHA145

Evolution of the CERN LINAC 4 Intensity Interlock System Using a Generic, Real-Time Comparator in C++

linac, software, MMI, hardware

570

A. Topaloudis, J.C. Allica Santamaria
CERN, Geneva, Switzerland

During the commissioning phase of LINAC 4, three watchdog interlock systems were used to protect the accelerator and its equipment. These systems cut the beam if losses, calculated by combining the intensity measurements at various locations, exceed some predefined thresholds. While the existing systems were designed to be simple and robust to ensure safety, the future connection of the linac to the Proton Synchrotron Booster (PSB) requires new instances of these systems with additional requirements. Such requirements include the remote communication of the watchdogs with the intensity measurement systems to decouple any physical dependency between the two systems, and the arithmetical/logical combination of the measured data based on the watchdog location. As the Controls Interlocks Beam User (CIBU) hardware interface to the Beam Interlock Controller (BIC) is simple, the software part of the system can be re-designed to be application agnostic giving a single decision after performing a configurable set of comparisons. This paper describes the upgrade of the software of the existing watchdog interlock system to a generic comparator, enabling its usage for other applications.

Poster MOPHA145 [1.008 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA145

About •

paper received ※ 27 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

Export •

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

TUCPL01

Adding Machine Learning to the Analysis and Optimization Toolsets at the Light Source BESSY II

booster, controls, network, operation

754

L. Vera Ramirez, T. Mertens, R. Müller, J. Viefhaus
HZB, Berlin, Germany
G. Hartmann
University of Kassel, Kassel, Germany

The Helmholtz Association has initiated the implementation of the Data Management and Analysis concept across its centers in Germany. At Helmholtz-Zentrum Berlin, both the beamline and the machine (accelerator) groups have started working towards setting up the infrastructure and tools to introduce modern analysis, optimization, automation and AI techniques for improving the performance of the (large scale) user facility and its experimental setups. This paper focuses on our first steps with Machine Learning techniques over the past months at BESSY II as well as organizational topics and collaborations. The presented results correspond to two complementary scenarios. The first one is based on supervised ML models trained with real accelerator data, whose target are real-time predictions for several measurements (lifetime, efficiency, beam loss, …); some of these techniques are also used for additional tasks such as outlier detection or feature importance analysis. The second scenario includes first prototypes towards self-tuning of machine parameters in different optimization cases (injection efficiency, orbit correction, …) with Deep Reinforcement Learning agents.

Slides TUCPL01 [8.894 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUCPL01

About •

paper received ※ 27 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

Export •

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

WEPHA065

Upgraded Beam Instrumentation DAQ for GSI and FAIR: Overview and First Experiences

controls, timing, software, extraction

1248

T. Hoffmann, H. Bräuning
GSI, Darmstadt, Germany

As construction of the FAIR accelerator complex progresses, the existing heavy ion synchroton SIS18, the storage ring ESR and the high energy beam transfer lines HEBT have been upgraded to the future control system. Within this upgrade the beam instrumentation (BI) data acquisition systems (DAQ) have been heavily modernized too. These are now integrated into the control system with its White Rabbit based timing system, data supply (i.e. ion species, energy, etc) and services like archiving. Dedicated clients running in the main control room allow visualization and correlation of the data and status of the BI devices. The DAQ hardware has been upgraded using new state-of-the-art components. With a trend to slowly phase out VME based systems, solutions based on standard Industrial PC for few channels as well as on the new µTCA standard for many channels have been successfully implemented. This contribution will give an overview over the upgraded BI-DAQ systems like current transformers and counter applications for ionization chambers, scintillators, and more. It will also present first experiences during beam operation with the new control system, which started summer last year.

Poster WEPHA065 [2.710 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA065

About •

paper received ※ 30 September 2019 paper accepted ※ 09 October 2019 issue date ※ 30 August 2020

Export •

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

WEPHA081

Analysis and Diagnostic Toolkit for Operation Event in the NSRRC

operation, power-supply, controls, toolkit

1280

C.H. Kuo, B.Y. Chen, H.H. Chen, H.C. Chen, T.W. Hsu, B.Y. Huang, S.J. Huang, T.Y. Lee, J.A. Li, W.Y. Lin, Y.K. Lin
NSRRC, Hsinchu, Taiwan

Taiwan Photon Source (TPS) and Taiwan light source (TLS) have been operated in the same time. TPS is a 3 GeV electron energy, 518 m circumference, low-emittance synchrotron storage ring which will offer one of the synchrotron x-ray sources, provide cutting-edge experimental facilities and novel multidisciplinary scientific research. TLS is a 1.5 Gev electron energy. The control system is difference between two facilities. Amount of instruments and devices these must be monitored and controlled by operator. The difference diagnostic tools will be difficult to operate and analysis between two system. These utility toolkits are effective to reduce operator loading. However, these tools are developed with same concept, combined with two difference machine is effective and reduce maintenance efforts. These applications of software will be reported in this conference.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA081

About •

paper received ※ 02 October 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

Export •

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

THAPP03

Construction of Beam Monitor Control System for Beam Transport From SACLA to SPring-8

controls, operation, software, beam-transport

1544

A. Kiyomichi, N. Hosoda, M. Yamaga
JASRI, Hyogo, Japan
T. Fukui
RIKEN SPring-8 Center, Innovative Light Sources Division, Hyogo, Japan
M. Ishii
JASRI/SPring-8, Hyogo-ken, Japan
H. Maesaka
RIKEN SPring-8 Center, Sayo-cho, Sayo-gun, Hyogo, Japan

In a part of the SPring-8 upgrade project, the SACLA linac will be used as the injector for the SPring-8 storage ring. We will upgrade the beam monitor system for beam transport, which consists of screen monitor (SCM), beam position monitor (BPM) and current monitor (CT). For the SCM, we adopted GigE Vision standard for the CCD camera and EtherCAT as a field bus for the stepper motor control of focusing system. We have developed camera control software using open source libraries to integrate various vendors’ GigE Vision cameras with the SPring-8 control framework. A grabbed image is stored into the file server and property, such as camera settings for image and event number, is stored into the database. The BPM is a key device for precise and stable injection. We adopted the commercially available MTCA.4 fast ADC/DAC module with modified firmware developed for readout of the BPM and the CT. We are developing acquisition software for MTCA.4 modules to synchronize with a beam trigger. The acquired data are stored into the database with time stamp and event number. We present the preparation of beam monitor control system for the beam transport to injection from SACLA to SPring-8.

Slides THAPP03 [9.593 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-THAPP03

About •

paper received ※ 01 October 2019 paper accepted ※ 09 October 2019 issue date ※ 30 August 2020

Export •

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