ICALEPCS2019 - List of Keywords (storage-ring)

Paper	Title	Other Keywords	Page
TUCPL06	Accelerating Machine Learning for Machine Physics (an AMALEA-project at KIT)	controls, bunching, hardware, FPGA	781
	T. Boltz, E. Bründermann, M. Caselle, A. Kopmann, W. Mexner, A.-S. Müller, W. Wang KIT, Karlsruhe, Germany
	The German Helmholtz Innovation Pool project will explore and provide novel cutting edge Machine Learning techniques to address some of the most urgent challenges in the era of large data harvests in accelerator physics. Progress in virtually all areas of accelerator based physics research relies on recording and analyzing enormous amounts of data. This data is produced by progressively sophisticated fast detectors alongside increasingly precise accelerator diagnostic systems. As KIT contribution to AMALEA it is planned to investigate a design of a fast and adaptive feedback system that reacts to small changes in the charge distribution of the electron bunch and establishes extensive control over the longitudinal beam dynamics. As a promising and well-motivated approach, reinforcement learning methods are considered. In a second step the algorithm will be implemented as a pilot experiment to a novel PCIe FPGA readout electronics card based on Zynq UltraScale⁺ MultiProcessor System on-Chip (MPSoC).
	Slides TUCPL06 [5.955 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUCPL06
About •	paper received ※ 27 September 2019 paper accepted ※ 01 November 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WECPL01	Status of the Control System for Fully Integrated SACLA/SPring-8 Accelerator Complex and New 3 GeV Light Source Being Constructed at Tohoku, Japan	controls, framework, database, operation	904
	T. Sugimoto, N. Hosoda, K. Okada, 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
	In the SPring-8 upgrade project, we plan to use the linear accelerator of SACLA as a full-energy injector to the storage ring. For the purpose of simultaneous operation of XFEL lasing and on-demand injection, we developed a new control framework that inherits the concepts of MADOCA. We plan to use the same control framework for a 3 GeV light source under construction at Tohoku, Japan. Messaging of the new control system is based on the MQTT protocol, which enables slow control and data acquisition with sub-second response time. The data acquisition framework, named MDAQ, covers both periodic polling and event-synchronizing data. To ensure scalability, we applied a key-value storage scheme, Apache Cassandra, to the logging database of the MDAQ. We also developed a new parameter database scheme, that handles operational parameter sets for XFEL lasing and on-demand top-up injection. These parameter sets are combined into 60 Hz operation patterns. For the top-up injection, we can select the operational pattern every second on an on-demand basis. In this paper, we report an overview of the new control system and the preliminary results of the integrated operation of SACLA and SPring-8.
	Slides WECPL01 [10.969 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WECPL01
About •	paper received ※ 03 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)

WEPHA012	A General Multiple-Input Multiple-Output Feedback Device in Tango for the MAX IV Accelerators	feedback, TANGO, controls, linac	1084
	P.J. Bell, V.H. Hardion, M. Lindberg, V. Martos, M. Sjöström MAX IV Laboratory, Lund University, Lund, Sweden
	A general multiple-input multiple-output feedback device has been implemented in Tango for various applications in the MAX IV accelerators. The device has a configurable list of sensors and actuators, response matrix inversion, gain and frequency regulation, takes account of the validity of the sensor inputs and may respond to external interlocks. In the storage rings, it performs the slow orbit feedback (SOFB) using the 10 Hz data stream from the Libera Brilliance Plus Beam Position Measurement (BPM) electronics, reading 194 (34) BPMs in the large (small) ring as sensor inputs. The BPM readings are received as Tango events and a corrector-to-BPM response matrix calculation outputs the corrector magnet settings. In the linac, the device is used for the trajectory correction, again with sensor input data sent as Tango events, in this case from the Single Pass BPM electronics. The device is also used for tune feedback in the storage rings, making use of its own polling thread to read the sensors. In the future, a custom SOFB device may be spun off in order to integrate the hardware-based fast orbit feedback, though the general device is also seeing new applications at the beamlines.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA012
About •	paper received ※ 20 September 2019 paper accepted ※ 08 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPHA042	Commissioning of the 352 MHz Transverse Feedback System at the Advance Photon Source	feedback, controls, FPGA, operation	1180
	N.P. DiMonte, C. Yao ANL, Lemont, Illinois, USA
	Funding: Work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. DE-AC02-06CH11357. With the success and reliability of the transverse feedback system installed at the Advance Photon Source (APS), an upgraded version to this system was commissioned in 2019. The previous system operated at a third of the storage-ring bunch capacity, or 432 of the available 1296 bunches. This upgrade samples all 1296 bunches which allowed corrections to be made on any selected bunch in a single storage-ring turn. To facilitate this upgrade the development of a new analog I/O board capable of 352 MHz operation was necessary. This paper discusses some of the challenges associated in processing one bunch out of 1296 bunches and how flexible the system can be in processing all 1296 bunches. We will also report on the performance of this system.
	Poster WEPHA042 [10.931 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA042
About •	paper received ※ 24 September 2019 paper accepted ※ 19 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPHA112	Database Scheme for On-Demand Beam Route Switching Operations at SACLA/SPring-8	operation, database, controls, FEL	1352
	K. Okada, N. Hosoda, T. Ohshima, T. Sugimoto, M. Yamaga JASRI, Hyogo, Japan T. Fujiwara, T. Maruyama, T. Ohshima, T. Okada RIKEN SPring-8 Center, Hyogo, Japan T. Fukui, N. Hosoda, H. Maesaka RIKEN SPring-8 Center, Innovative Light Sources Division, Hyogo, Japan O. Morimoto, Y. Tajiri SES, Hyogo-pref., Japan
	At SACLA, the X-ray free electron laser (XFEL) facility, we have been operating the electron linac in time-sharing (equal duty) mode between beamlines. The next step is to vary the duty factor on an on-demand basis and to bring the beam into the SP8 storage ring. It is a part of a big picture of an upgrade. The low-emittance beam is ideal for the next generation storage ring. In every 60 Hz repetition cycle, we have to deal a bunch of electrons properly. The challenge here is we must keep the beam quality for the XFEL demands while responding occasional injection requests from the storage ring. This paper describes the database system that supports both SACLA/SP8 operations. The system is a combination of RDB and NoSQL databases. In the on-demand beam switching operation, the RDB part keeps the parameters to define sequences, which include a set of one-second route patterns, and a bucket sequence for the injection, etc. As for data analysis, it is going to be a post-process to build an event for a certain route, because not all equipment get the route command in real time. We present the preparation status toward the standard operation for beamline users. http://rsc.riken.jp/pdf/SPring-8-II.pdf **IPAC2019 proceedings
	Poster WEPHA112 [0.561 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA112
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)

WEPHA137	Integration of a Model Server into the Control System of the Synchrotron Light Source DELTA	EPICS, simulation, controls, software	1421
	D. Schirmer, A. Althaus DELTA, Dortmund, Germany
	During the past decades, a variety of particle optics programs have been applied for accelerator studies at the storage ring facility DELTA. Depending on the application, most programs were used offline without dynamic machine synchronisation. In order to centralize and standardize storage ring modeling capabilities, a dedicated online model server was developed and integrated into the EPICS-based control system. The core server is based on Python/EPICS service modules using OCELOT and COBEA as simulation tools. All data, actual machine readings/settings, conversion coefficients, results of simulation calculations as well as manual parameter settings, are handled via EPICS process variables. Thus, the data are transparently available in the entire control system for further processing or visualisation. To improve maintainability and adaptability, the remote presentation model controller concept was realized in the implementation. The paper explains the setup of the model server and discusses first use cases.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA137
About •	paper received ※ 01 October 2019 paper accepted ※ 20 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPHA138	Orbit Correction With Machine Learning Techniques at the Synchrotron Light Source DELTA	network, electron, controls, synchrotron	1426
	D. Schirmer DELTA, Dortmund, Germany
	In the last years, artificial intelligence (AI) has experienced a renaissance in many fields. AI-based concepts are nature-inspired and can also be used in the field of accelerator controls. At DELTA, various studies on this subject were conducted in the past. Among other possible applications, the use of neural networks for automated correction of the electron beam position (orbit control) is of interest. Machine learning (ML) simulations with a DELTA storage ring model were already successful. Recently, conventional Feed-Forward Neural Networks (FFNN) were trained on measured orbits to apply local and global beam position corrections to the 1.5 GeV storage ring DELTA. First experimental results are presented and compared with other orbit control methods.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA138
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)

Paper

Title

Other Keywords

Page

TUCPL06

Accelerating Machine Learning for Machine Physics (an AMALEA-project at KIT)

controls, bunching, hardware, FPGA

781

T. Boltz, E. Bründermann, M. Caselle, A. Kopmann, W. Mexner, A.-S. Müller, W. Wang
KIT, Karlsruhe, Germany

The German Helmholtz Innovation Pool project will explore and provide novel cutting edge Machine Learning techniques to address some of the most urgent challenges in the era of large data harvests in accelerator physics. Progress in virtually all areas of accelerator based physics research relies on recording and analyzing enormous amounts of data. This data is produced by progressively sophisticated fast detectors alongside increasingly precise accelerator diagnostic systems. As KIT contribution to AMALEA it is planned to investigate a design of a fast and adaptive feedback system that reacts to small changes in the charge distribution of the electron bunch and establishes extensive control over the longitudinal beam dynamics. As a promising and well-motivated approach, reinforcement learning methods are considered. In a second step the algorithm will be implemented as a pilot experiment to a novel PCIe FPGA readout electronics card based on Zynq UltraScale⁺ MultiProcessor System on-Chip (MPSoC).

Slides TUCPL06 [5.955 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUCPL06

About •

paper received ※ 27 September 2019 paper accepted ※ 01 November 2019 issue date ※ 30 August 2020

Export •

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

WECPL01

Status of the Control System for Fully Integrated SACLA/SPring-8 Accelerator Complex and New 3 GeV Light Source Being Constructed at Tohoku, Japan

controls, framework, database, operation

904

T. Sugimoto, N. Hosoda, K. Okada, 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

In the SPring-8 upgrade project, we plan to use the linear accelerator of SACLA as a full-energy injector to the storage ring. For the purpose of simultaneous operation of XFEL lasing and on-demand injection, we developed a new control framework that inherits the concepts of MADOCA. We plan to use the same control framework for a 3 GeV light source under construction at Tohoku, Japan. Messaging of the new control system is based on the MQTT protocol, which enables slow control and data acquisition with sub-second response time. The data acquisition framework, named MDAQ, covers both periodic polling and event-synchronizing data. To ensure scalability, we applied a key-value storage scheme, Apache Cassandra, to the logging database of the MDAQ. We also developed a new parameter database scheme, that handles operational parameter sets for XFEL lasing and on-demand top-up injection. These parameter sets are combined into 60 Hz operation patterns. For the top-up injection, we can select the operational pattern every second on an on-demand basis. In this paper, we report an overview of the new control system and the preliminary results of the integrated operation of SACLA and SPring-8.

Slides WECPL01 [10.969 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WECPL01

About •

paper received ※ 03 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)

WEPHA012

A General Multiple-Input Multiple-Output Feedback Device in Tango for the MAX IV Accelerators

feedback, TANGO, controls, linac

1084

P.J. Bell, V.H. Hardion, M. Lindberg, V. Martos, M. Sjöström
MAX IV Laboratory, Lund University, Lund, Sweden

A general multiple-input multiple-output feedback device has been implemented in Tango for various applications in the MAX IV accelerators. The device has a configurable list of sensors and actuators, response matrix inversion, gain and frequency regulation, takes account of the validity of the sensor inputs and may respond to external interlocks. In the storage rings, it performs the slow orbit feedback (SOFB) using the 10 Hz data stream from the Libera Brilliance Plus Beam Position Measurement (BPM) electronics, reading 194 (34) BPMs in the large (small) ring as sensor inputs. The BPM readings are received as Tango events and a corrector-to-BPM response matrix calculation outputs the corrector magnet settings. In the linac, the device is used for the trajectory correction, again with sensor input data sent as Tango events, in this case from the Single Pass BPM electronics. The device is also used for tune feedback in the storage rings, making use of its own polling thread to read the sensors. In the future, a custom SOFB device may be spun off in order to integrate the hardware-based fast orbit feedback, though the general device is also seeing new applications at the beamlines.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA012

About •

paper received ※ 20 September 2019 paper accepted ※ 08 October 2019 issue date ※ 30 August 2020

Export •

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

WEPHA042

Commissioning of the 352 MHz Transverse Feedback System at the Advance Photon Source

feedback, controls, FPGA, operation

1180

N.P. DiMonte, C. Yao
ANL, Lemont, Illinois, USA

Funding: Work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. DE-AC02-06CH11357.
With the success and reliability of the transverse feedback system installed at the Advance Photon Source (APS), an upgraded version to this system was commissioned in 2019. The previous system operated at a third of the storage-ring bunch capacity, or 432 of the available 1296 bunches. This upgrade samples all 1296 bunches which allowed corrections to be made on any selected bunch in a single storage-ring turn. To facilitate this upgrade the development of a new analog I/O board capable of 352 MHz operation was necessary. This paper discusses some of the challenges associated in processing one bunch out of 1296 bunches and how flexible the system can be in processing all 1296 bunches. We will also report on the performance of this system.

Poster WEPHA042 [10.931 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA042

About •

paper received ※ 24 September 2019 paper accepted ※ 19 October 2019 issue date ※ 30 August 2020

Export •

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

WEPHA112

Database Scheme for On-Demand Beam Route Switching Operations at SACLA/SPring-8

operation, database, controls, FEL

1352

K. Okada, N. Hosoda, T. Ohshima, T. Sugimoto, M. Yamaga
JASRI, Hyogo, Japan
T. Fujiwara, T. Maruyama, T. Ohshima, T. Okada
RIKEN SPring-8 Center, Hyogo, Japan
T. Fukui, N. Hosoda, H. Maesaka
RIKEN SPring-8 Center, Innovative Light Sources Division, Hyogo, Japan
O. Morimoto, Y. Tajiri
SES, Hyogo-pref., Japan

At SACLA, the X-ray free electron laser (XFEL) facility, we have been operating the electron linac in time-sharing (equal duty) mode between beamlines. The next step is to vary the duty factor on an on-demand basis and to bring the beam into the SP8 storage ring. It is a part of a big picture of an upgrade*. The low-emittance beam is ideal for the next generation storage ring. In every 60 Hz repetition cycle, we have to deal a bunch of electrons properly. The challenge here is we must keep the beam quality for the XFEL demands while responding occasional injection requests from the storage ring**. This paper describes the database system that supports both SACLA/SP8 operations. The system is a combination of RDB and NoSQL databases. In the on-demand beam switching operation, the RDB part keeps the parameters to define sequences, which include a set of one-second route patterns, and a bucket sequence for the injection, etc. As for data analysis, it is going to be a post-process to build an event for a certain route, because not all equipment get the route command in real time. We present the preparation status toward the standard operation for beamline users.
*http://rsc.riken.jp/pdf/SPring-8-II.pdf
**IPAC2019 proceedings

Poster WEPHA112 [0.561 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA112

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)

WEPHA137

Integration of a Model Server into the Control System of the Synchrotron Light Source DELTA

EPICS, simulation, controls, software

1421

D. Schirmer, A. Althaus
DELTA, Dortmund, Germany

During the past decades, a variety of particle optics programs have been applied for accelerator studies at the storage ring facility DELTA. Depending on the application, most programs were used offline without dynamic machine synchronisation. In order to centralize and standardize storage ring modeling capabilities, a dedicated online model server was developed and integrated into the EPICS-based control system. The core server is based on Python/EPICS service modules using OCELOT and COBEA as simulation tools. All data, actual machine readings/settings, conversion coefficients, results of simulation calculations as well as manual parameter settings, are handled via EPICS process variables. Thus, the data are transparently available in the entire control system for further processing or visualisation. To improve maintainability and adaptability, the remote presentation model controller concept was realized in the implementation. The paper explains the setup of the model server and discusses first use cases.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA137

About •

paper received ※ 01 October 2019 paper accepted ※ 20 October 2019 issue date ※ 30 August 2020

Export •

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

WEPHA138

Orbit Correction With Machine Learning Techniques at the Synchrotron Light Source DELTA

network, electron, controls, synchrotron

1426

D. Schirmer
DELTA, Dortmund, Germany

In the last years, artificial intelligence (AI) has experienced a renaissance in many fields. AI-based concepts are nature-inspired and can also be used in the field of accelerator controls. At DELTA, various studies on this subject were conducted in the past. Among other possible applications, the use of neural networks for automated correction of the electron beam position (orbit control) is of interest. Machine learning (ML) simulations with a DELTA storage ring model were already successful. Recently, conventional Feed-Forward Neural Networks (FFNN) were trained on measured orbits to apply local and global beam position corrections to the 1.5 GeV storage ring DELTA. First experimental results are presented and compared with other orbit control methods.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA138

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)