ICALEPCS2019 - List of Keywords (synchrotron)

Paper	Title	Other Keywords	Page
MOCPL06	2D-Nano-Ptychography Imaging Results on the SWING Beamline at Synchrotron SOLEIL	controls, feedback, experiment, electron	91
	C. Engblom, Y.-M. Abiven, F. Alves, F. Berenguer, T. Bizien, A. Gibert, F. Langlois, A. Lestrade, P. Montaville, J. Pérez SOLEIL, Gif-sur-Yvette, France
	A new Nanoprobe system, which was originally developed in the scope of a collaboration with MAXIV (Sweden), has recently been tested and validated on the SWING beamline in Synchrotron SOLEIL. The aim of the project was to construct a Ptychography nano-imaging station. Initial steps were taken to provide a portable system capable of nanometric scans of samples with sizes ranging from the micrometer to fractions of a millimeter. Imaging was made possible by actuating a total of 16 Degrees Of Freedom (DOF) composed of a sample stage (3 DOF), a central stop stage (5 DOF), a Fresnel zone plate stage (5 DOF), as well as an order sorting aperture stage (3 DOF). These stages were actuated by an ensemble of piezo-driven and high-quality brushless motors, of which synchronized control (with kinematic modelling) was done using the Delta Tau platform. In addition, interferometry feedback was used for reconstruction purposes. Imaging results are promising: the system was able to resolve 40 nm measured with a Siemens star, the paper will describe the system and the achieved results.
	Slides MOCPL06 [19.056 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOCPL06
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)

MOMPR005	Development of a New Data Acquisition System for a Photon Counting Detector Prototype at SOLEIL Synchrotron	detector, experiment, controls, software	162
	G. Thibaux, Y.-M. Abiven, D. Bachiller-Perea, J. Bisou, A. Dawiec, A. Jarnac, B. Kanoute, F. Langlois, C. Laulhé, C. Menneglier, A. Noureddine, F. Orsini, Y. Sergent SOLEIL, Gif-sur-Yvette, France P. Grybos, A. Koziol, P. Maj AGH University of Science and Technology, Kraków, Poland C. Laulhe Université Paris-Saclay, Saint-Aubin, France
	Time-resolved pump-probe experiments at SOLEIL Synchrotron (France) have motivated the development of a new and fast photon counting camera prototype. The core of the camera is a hybrid pixel detector, based on the UFXC32k readout chips bump-bonded to a silicon sensor. This detector exhibits promising performances with very fast readout time, high dynamic range, extended count rate linearity and optimized X-ray detection in the energy range 5-15 keV. In close collaboration with CRISTAL beamline, SOLEIL’s Detector, Electronics and Software Groups carried out a common R&D project to design and realize a 2-chips camera prototype with a high-speed data acquisition system. The system has been fully integrated into Tango and Lima data acquisition framework used at SOLEIL. The development and first experimental results will be presented in this paper.
	Poster MOMPR005 [1.832 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOMPR005
About •	paper received ※ 30 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)

MOPHA001	Robotizing SOLEIL Beamlines to Improve Experiments Automation	controls, detector, experiment, interface	183
	Y.-M. Abiven, T. Bucaille, L. Chavas, E. Elkaim, P. Gourhant, Y. Liatimi, K. Medjoubi, S. Pierre-Joseph Zéphir, B. Pilliaud, V. Pinty, A. Somogyi, F. Thiam SOLEIL, Gif-sur-Yvette, France S. Bouvel EFOR, Levallois Perret, France
	Beamlines can benefit from the implementation of industrial robots in several ways: minimization of dead time, maximization of experimental throughput, and limitation of human presence during experimentation. Furthermore, the robots add flexibility in task management. The challenge for SOLEIL is to define a robotic standard, on both hardware and software, which is versatile enough to cover beamlines requirements, while being easy to implement, easy to use, and to maintain in operation. This paper will present the process of defining such a standard at SOLEIL, using 6 axis industrial robot arms. It will detail all aspects of this development, from market studies up to technical constraints. The specifications of the robots are aimed at addressing the most common technical constraints of beamlines, with a special care for mechanical properties. The robotic systems will be integrated into the Tango control system using a feature-based approach. This standard implementation is driven by two applications: picking and placing samples for powder diffraction on the CRISTAL beamline and positioning of a detector for x-rays coherent diffraction experiments on the NANOSCOPIUM beamline.
	Poster MOPHA001 [1.455 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA001
About •	paper received ※ 30 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)

TUBPL03	Experimental Data Transfer System BENTEN at SPring-8	experiment, synchrotron-radiation, radiation, operation	702
	T. Matsumoto, Y. Furukawa, Y. Hiraoka, M. Kodera, T. Matsushita, K. Nakada, A. Yamashita, S. Yokota JASRI, Hyogo, Japan
	Recently, there are strong demands on open data to promote data science like material informatics. At SPring-8, we have been operated data transfer system for open data of XAFS measurements since 2013* with the second in the world for amount data*. However, it was difficult to satisfy demands such as generic uses in experimental stations and data federation with other facilities. To overcome these, we newly developed data transfer system BENTEN. BENTEN provides easy-to-use and unified interface with REST API for data access from both inside and outside SPring-8. At SPring-8, proposal number is assigned for each experiment and members in the proposal are defined in DB. BENTEN can also realize restricted data access with the members using authentication and the DB. Data registration was performed with metadata such as experimental conditions and samples. Various metadata in the experiments can be easily defined. To achieve flexible data access with full-text search, we used Elasticsearch as metadata store. We began operation of BENTEN and open access of XAFS data since March this year. We plan to utilize BENTEN to promote open data and data science also with other experimental data. H. Sakai et al., Proc. of ICALEPCS 2013, p.577-579 **K. Asakura et al., J. Synchrotron Rad. (2018), 25, p.967-971
	Slides TUBPL03 [5.165 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUBPL03
About •	paper received ※ 28 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)

WEMPL008	The MAX IV Way of Agile Project Management for the Control System	controls, software, project-management, feedback	1020
	V.H. Hardion, M. Lindberg, D.P. Spruce MAX IV Laboratory, Lund University, Lund, Sweden
	Projects management of synchrotron is both complicated and complex. Building scientific facilities are resource consuming although largely made out of standard and well known components. The industrial approach of project management resolves this complication by requiring analysis and planning to facilitate the execution of tasks. The complexity comes by all the research making unique the accelerators, the beamlines and its usage. Known unknown requires experiments which evolve continuously causing the development path to be naturally iterative. Agile project management has come a long way since its definition in 2001. Nowadays this method is ubiquitous in the software development industry following different implementation like Scrum or XP and started to evolve at a bigger scale (i.e Scaled Agile) applied within an entire organization. The versatility of the Agile method has been applied to a Scientific technical development program such as the MAX IV Laboratory control system. This article describes the experience of 7 years of Agile project management and the use of Lean Management principles to develop and maintain the control system.
	Slides WEMPL008 [1.834 MB]
	Poster WEMPL008 [0.959 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEMPL008
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)

WEPHA096	Timing Signal Distribution for Synchrotron Radiation Experiments Using RF Over White Rabbit	timing, experiment, synchrotron-radiation, radiation	1316
	T. Masuda JASRI, Hyogo, Japan
	In synchrotron radiation experiments, some measurements such as nuclear resonant scattering, time-of-flight, and time-resolved measurements necessitate an RF clock and fundamental revolution frequency (zero-address) signals synchronized with a storage ring. Currently, these timing signals are delivered directly over dedicated cables from an accelerator timing station to each experimental station. Considering the upcoming IoT era, it is preferable that these signals can be distributed over a network based on digital technology. Therefore, I am building a proof of concept system (PoCS) that will achieve distributions of the 508.58 MHz clock and the zero-address signals synchronized with the storage ring using RF over White Rabbit. The PoCS consists of a master node, which receives the RF clock and the zero-address signals from the accelerator, and two slave nodes which generate timing signals near experimental stations. Each node employs a SPEC* board and a new FMC DDS**. The slave node will be able to output the RF clock with the arbitrary division rate and phase after reproducing the 508.58 MHz clock. This paper will describe the achieved functions and performance of the PoCS. https://ohwr.org/project/wr-d3s https://ohwr.org/project/spec *https://ohwr.org/project/fmc-dac-600m-12b-1cha-dds
	Poster WEPHA096 [2.200 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA096
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)

WEPHA121	Deep Neural Network for Anomaly Detection in Accelerators	network, Windows, operation, controls	1375
	M. Piekarski, W.T. Kitka NSRC SOLARIS, Kraków, Poland J. Jaworek-Korjakowska AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Kraków, Poland
	The main goal of NSRC SOLARIS is to provide scientific community with high quality synchrotron light. In order to do this it is essential to monitor subsystems that are responsible for beam stability. In this paper a deep neural network for anomaly detection in time series data is proposed. Base model is a pre-trained, 19-layer convolutional neural network VGG-19. Its task is to identify abnormal status of sensors in certain time step. Each time window is a square matrix so can be treated as an image. Any kind of anomalies in synchrotron’s subsystems may lead to beam loss, affect experiments and in extreme cases can cause damage of the infrastructure, therefore when anomaly is detected operator should receive a warning about possible instability.
	Poster WEPHA121 [1.368 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA121
About •	paper received ※ 29 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)

WEPHA138	Orbit Correction With Machine Learning Techniques at the Synchrotron Light Source DELTA	network, storage-ring, electron, controls	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

MOCPL06

2D-Nano-Ptychography Imaging Results on the SWING Beamline at Synchrotron SOLEIL

controls, feedback, experiment, electron

91

C. Engblom, Y.-M. Abiven, F. Alves, F. Berenguer, T. Bizien, A. Gibert, F. Langlois, A. Lestrade, P. Montaville, J. Pérez
SOLEIL, Gif-sur-Yvette, France

A new Nanoprobe system, which was originally developed in the scope of a collaboration with MAXIV (Sweden), has recently been tested and validated on the SWING beamline in Synchrotron SOLEIL. The aim of the project was to construct a Ptychography nano-imaging station. Initial steps were taken to provide a portable system capable of nanometric scans of samples with sizes ranging from the micrometer to fractions of a millimeter. Imaging was made possible by actuating a total of 16 Degrees Of Freedom (DOF) composed of a sample stage (3 DOF), a central stop stage (5 DOF), a Fresnel zone plate stage (5 DOF), as well as an order sorting aperture stage (3 DOF). These stages were actuated by an ensemble of piezo-driven and high-quality brushless motors, of which synchronized control (with kinematic modelling) was done using the Delta Tau platform. In addition, interferometry feedback was used for reconstruction purposes. Imaging results are promising: the system was able to resolve 40 nm measured with a Siemens star, the paper will describe the system and the achieved results.

Slides MOCPL06 [19.056 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOCPL06

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)

MOMPR005

Development of a New Data Acquisition System for a Photon Counting Detector Prototype at SOLEIL Synchrotron

detector, experiment, controls, software

162

G. Thibaux, Y.-M. Abiven, D. Bachiller-Perea, J. Bisou, A. Dawiec, A. Jarnac, B. Kanoute, F. Langlois, C. Laulhé, C. Menneglier, A. Noureddine, F. Orsini, Y. Sergent
SOLEIL, Gif-sur-Yvette, France
P. Grybos, A. Koziol, P. Maj
AGH University of Science and Technology, Kraków, Poland
C. Laulhe
Université Paris-Saclay, Saint-Aubin, France

Time-resolved pump-probe experiments at SOLEIL Synchrotron (France) have motivated the development of a new and fast photon counting camera prototype. The core of the camera is a hybrid pixel detector, based on the UFXC32k readout chips bump-bonded to a silicon sensor. This detector exhibits promising performances with very fast readout time, high dynamic range, extended count rate linearity and optimized X-ray detection in the energy range 5-15 keV. In close collaboration with CRISTAL beamline, SOLEIL’s Detector, Electronics and Software Groups carried out a common R&D project to design and realize a 2-chips camera prototype with a high-speed data acquisition system. The system has been fully integrated into Tango and Lima data acquisition framework used at SOLEIL. The development and first experimental results will be presented in this paper.

Poster MOMPR005 [1.832 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOMPR005

About •

paper received ※ 30 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)

MOPHA001

Robotizing SOLEIL Beamlines to Improve Experiments Automation

controls, detector, experiment, interface

183

Y.-M. Abiven, T. Bucaille, L. Chavas, E. Elkaim, P. Gourhant, Y. Liatimi, K. Medjoubi, S. Pierre-Joseph Zéphir, B. Pilliaud, V. Pinty, A. Somogyi, F. Thiam
SOLEIL, Gif-sur-Yvette, France
S. Bouvel
EFOR, Levallois Perret, France

Beamlines can benefit from the implementation of industrial robots in several ways: minimization of dead time, maximization of experimental throughput, and limitation of human presence during experimentation. Furthermore, the robots add flexibility in task management. The challenge for SOLEIL is to define a robotic standard, on both hardware and software, which is versatile enough to cover beamlines requirements, while being easy to implement, easy to use, and to maintain in operation. This paper will present the process of defining such a standard at SOLEIL, using 6 axis industrial robot arms. It will detail all aspects of this development, from market studies up to technical constraints. The specifications of the robots are aimed at addressing the most common technical constraints of beamlines, with a special care for mechanical properties. The robotic systems will be integrated into the Tango control system using a feature-based approach. This standard implementation is driven by two applications: picking and placing samples for powder diffraction on the CRISTAL beamline and positioning of a detector for x-rays coherent diffraction experiments on the NANOSCOPIUM beamline.

Poster MOPHA001 [1.455 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA001

About •

paper received ※ 30 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)

TUBPL03

Experimental Data Transfer System BENTEN at SPring-8

experiment, synchrotron-radiation, radiation, operation

702

T. Matsumoto, Y. Furukawa, Y. Hiraoka, M. Kodera, T. Matsushita, K. Nakada, A. Yamashita, S. Yokota
JASRI, Hyogo, Japan

Recently, there are strong demands on open data to promote data science like material informatics. At SPring-8, we have been operated data transfer system for open data of XAFS measurements since 2013* with the second in the world for amount data**. However, it was difficult to satisfy demands such as generic uses in experimental stations and data federation with other facilities. To overcome these, we newly developed data transfer system BENTEN. BENTEN provides easy-to-use and unified interface with REST API for data access from both inside and outside SPring-8. At SPring-8, proposal number is assigned for each experiment and members in the proposal are defined in DB. BENTEN can also realize restricted data access with the members using authentication and the DB. Data registration was performed with metadata such as experimental conditions and samples. Various metadata in the experiments can be easily defined. To achieve flexible data access with full-text search, we used Elasticsearch as metadata store. We began operation of BENTEN and open access of XAFS data since March this year. We plan to utilize BENTEN to promote open data and data science also with other experimental data.
*H. Sakai et al., Proc. of ICALEPCS 2013, p.577-579
**K. Asakura et al., J. Synchrotron Rad. (2018), 25, p.967-971

Slides TUBPL03 [5.165 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUBPL03

About •

paper received ※ 28 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)

WEMPL008

The MAX IV Way of Agile Project Management for the Control System

controls, software, project-management, feedback

1020

V.H. Hardion, M. Lindberg, D.P. Spruce
MAX IV Laboratory, Lund University, Lund, Sweden

Projects management of synchrotron is both complicated and complex. Building scientific facilities are resource consuming although largely made out of standard and well known components. The industrial approach of project management resolves this complication by requiring analysis and planning to facilitate the execution of tasks. The complexity comes by all the research making unique the accelerators, the beamlines and its usage. Known unknown requires experiments which evolve continuously causing the development path to be naturally iterative. Agile project management has come a long way since its definition in 2001. Nowadays this method is ubiquitous in the software development industry following different implementation like Scrum or XP and started to evolve at a bigger scale (i.e Scaled Agile) applied within an entire organization. The versatility of the Agile method has been applied to a Scientific technical development program such as the MAX IV Laboratory control system. This article describes the experience of 7 years of Agile project management and the use of Lean Management principles to develop and maintain the control system.

Slides WEMPL008 [1.834 MB]

Poster WEMPL008 [0.959 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEMPL008

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)

WEPHA096

Timing Signal Distribution for Synchrotron Radiation Experiments Using RF Over White Rabbit

timing, experiment, synchrotron-radiation, radiation

1316

T. Masuda
JASRI, Hyogo, Japan

In synchrotron radiation experiments, some measurements such as nuclear resonant scattering, time-of-flight, and time-resolved measurements necessitate an RF clock and fundamental revolution frequency (zero-address) signals synchronized with a storage ring. Currently, these timing signals are delivered directly over dedicated cables from an accelerator timing station to each experimental station. Considering the upcoming IoT era, it is preferable that these signals can be distributed over a network based on digital technology. Therefore, I am building a proof of concept system (PoCS) that will achieve distributions of the 508.58 MHz clock and the zero-address signals synchronized with the storage ring using RF over White Rabbit*. The PoCS consists of a master node, which receives the RF clock and the zero-address signals from the accelerator, and two slave nodes which generate timing signals near experimental stations. Each node employs a SPEC** board and a new FMC DDS***. The slave node will be able to output the RF clock with the arbitrary division rate and phase after reproducing the 508.58 MHz clock. This paper will describe the achieved functions and performance of the PoCS.
*https://ohwr.org/project/wr-d3s
**https://ohwr.org/project/spec
***https://ohwr.org/project/fmc-dac-600m-12b-1cha-dds

Poster WEPHA096 [2.200 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA096

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)

WEPHA121

Deep Neural Network for Anomaly Detection in Accelerators

network, Windows, operation, controls

1375

M. Piekarski, W.T. Kitka
NSRC SOLARIS, Kraków, Poland
J. Jaworek-Korjakowska
AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Kraków, Poland

The main goal of NSRC SOLARIS is to provide scientific community with high quality synchrotron light. In order to do this it is essential to monitor subsystems that are responsible for beam stability. In this paper a deep neural network for anomaly detection in time series data is proposed. Base model is a pre-trained, 19-layer convolutional neural network VGG-19. Its task is to identify abnormal status of sensors in certain time step. Each time window is a square matrix so can be treated as an image. Any kind of anomalies in synchrotron’s subsystems may lead to beam loss, affect experiments and in extreme cases can cause damage of the infrastructure, therefore when anomaly is detected operator should receive a warning about possible instability.

Poster WEPHA121 [1.368 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA121

About •

paper received ※ 29 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)

WEPHA138

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

network, storage-ring, electron, controls

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)