IBIC2019 - List of Keywords (SRF)

Paper	Title	Other Keywords	Page
MOAO03	Overview on the Diagnostics for EBS-ESRF	storage-ring, feedback, radiation, diagnostics	9
	L. Torino, N. Benoist, F. Ewald, E. Plouviez, J. Poitou, B. Roche, K.B. Scheidt, F. Taoutaou, F. Uberto ESRF, Grenoble, France
	On December 2018 the ESRF was shut down and the 28 years old storage ring was entirely dismantled in the following months. A new storage ring, the Extremely Brilliant Source (EBS), that had been pre-assembled in 2017 and 2018, is presently being installed and the commissioning will start in December 2019. EBS will achieve a much reduced horizontal emittance, from 4 nm to 150 pm, and will also provide the X-ray users with a more coherent synchrotron radiation beam. In this paper, we present an overview of the diagnostics systems for this new storage ring.
	Slides MOAO03 [40.660 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2019-MOAO03
About •	paper received ※ 03 September 2019 paper accepted ※ 07 September 2019 issue date ※ 10 November 2019
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

MOCO01	Online Touschek Beam Lifetime Measurement Based on the Precise Bunch-By-Bunch Beam Charge Monitor	storage-ring, injection, electron, software	36
	B. Gao, F.Z. Chen, Y.B. Leng SSRF, Shanghai, People’s Republic of China Y.M. Zhou SINAP, Shanghai, People’s Republic of China
	Beam current and lifetime are the most important parameters to characterize the beam and machine quality of an electron storage ring. In order to describe the behavior of all electron bunches completely and accurately, a precisely bunch-by-bunch charge monitor has been developed at SSRF. Method called two-point equilibrium sampling is introduced to avoid the influence of longitudinal oscillation on the sampling point, thanks to this, the resolution of the BCM was below 0.2 pC. Utilizing the advantages of BCM’s high refresh rate and high resolution, the system can meet the requirement of monitor the bunch-by-bunch beam lifetime, measure touschek lifetime and vacuum lifetime. In this paper, experiments and and analysis will be described in detail.
	Slides MOCO01 [18.156 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2019-MOCO01
About •	paper received ※ 03 September 2019 paper accepted ※ 08 September 2019 issue date ※ 10 November 2019
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

MOPP002	Current Per Bunch Distribution Measurement at ESRF	data-analysis, ECR, controls, injection	59
	L. Torino, B. Roche, B. Vedder ESRF, Grenoble, France
	During the last run of the ESRF machine, several instrumentation improvements have been carried out in order to be exported on the new EBS storage ring. In particular, the top-up operation mode has been implemented and it demanded for an accurate, fast, and reliable measurement of the current per bunch distribution. In this proceeding, we describe the characteristics and the performance of the setup chosen to perform this measurement, which consists in a stripline, connected with a high dynamic range oscilloscope and a dedicated data analysis. We also comment on the integration of the measurement in the top-up routine to selectively refill less populated bunches.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2019-MOPP002
About •	paper received ※ 03 September 2019 paper accepted ※ 08 September 2019 issue date ※ 10 November 2019
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPP004	High-Speed Beam Signal Processor for SHINE	cavity, timing, FPGA, interface	283
	L.W. Lai, Y.B. Leng SSRF, Shanghai, People’s Republic of China
	A CW hard X-ray FEL is under construction in SSRF, which pulse rate is designed to 1MHz. A new high-speed sampling BPM signal processor is under development to meet the high performance requirements of beam position measurement system. The processor¿s sampling rate can be up to 500MHz, and beam position information of each bunch (1MHz rate) can be retrieved with the power of FPGA. Time stamp is aligned with the position data for offline analysis. The processor is designed to be a common signal processing platform for beam diagnostics. The first application is cavity BPM, and other applications, including button BPM, stripline BPM, and even wire scanner processor will be developed based on this platform. At the same time, a RF direct sampling processor is designed for cavity BPM signal processing. This novel technology will greatly simplify the cavity BPM electronic system, and make the system design more efficient and more flexible.
	Poster TUPP004 [0.983 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2019-TUPP004
About •	paper received ※ 04 September 2019 paper accepted ※ 07 September 2019 issue date ※ 10 November 2019
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPP021	Machine Learning Image Processing Technology Application in Bunch Longitudinal Phase Data Information Extraction	network, damping, injection, synchrotron	568
	X.Y. Xu, Y.M. Zhou SINAP, Shanghai, People’s Republic of China Y.B. Leng, Y.M. Zhou SSRF, Shanghai, People’s Republic of China X.Y. Xu University of Chinese Academy of Sciences, Beijing, People’s Republic of China
	To achieve the bunch-by-bunch longitudinal phase measurement, Shanghai Synchrotron Radiation Facility (SSRF) has developed a high resolution measurement system. We used this measurement system to study the injection transient process, and obtained the longitudinal phase of the refilled bunch and the longitudinal phase of the original stored bunch. A large number of parameters of the synchronous damping oscillation are included in this large amount of longitudinal phase data, which are important for the evaluation of machine state and bunch stability. The multi-turn phase data of a multi-bunch is a large two-dimensional array that can be converted into an image. The convolutional neural network (CNN) is a machine learning model with strong capabilities in image processing. We hope to use the convolutional neural network to process the longitudinal phase two-dimensional array data, and extract important parameters such as the oscillation amplitude and the synchrotron damping time.
	Poster WEPP021 [1.292 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2019-WEPP021
About •	paper received ※ 23 August 2019 paper accepted ※ 10 September 2019 issue date ※ 10 November 2019
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

MOAO03

Overview on the Diagnostics for EBS-ESRF

storage-ring, feedback, radiation, diagnostics

9

L. Torino, N. Benoist, F. Ewald, E. Plouviez, J. Poitou, B. Roche, K.B. Scheidt, F. Taoutaou, F. Uberto
ESRF, Grenoble, France

On December 2018 the ESRF was shut down and the 28 years old storage ring was entirely dismantled in the following months. A new storage ring, the Extremely Brilliant Source (EBS), that had been pre-assembled in 2017 and 2018, is presently being installed and the commissioning will start in December 2019. EBS will achieve a much reduced horizontal emittance, from 4 nm to 150 pm, and will also provide the X-ray users with a more coherent synchrotron radiation beam. In this paper, we present an overview of the diagnostics systems for this new storage ring.

Slides MOAO03 [40.660 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2019-MOAO03

About •

paper received ※ 03 September 2019 paper accepted ※ 07 September 2019 issue date ※ 10 November 2019

Export •

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

MOCO01

Online Touschek Beam Lifetime Measurement Based on the Precise Bunch-By-Bunch Beam Charge Monitor

storage-ring, injection, electron, software

36

B. Gao, F.Z. Chen, Y.B. Leng
SSRF, Shanghai, People’s Republic of China
Y.M. Zhou
SINAP, Shanghai, People’s Republic of China

Beam current and lifetime are the most important parameters to characterize the beam and machine quality of an electron storage ring. In order to describe the behavior of all electron bunches completely and accurately, a precisely bunch-by-bunch charge monitor has been developed at SSRF. Method called two-point equilibrium sampling is introduced to avoid the influence of longitudinal oscillation on the sampling point, thanks to this, the resolution of the BCM was below 0.2 pC. Utilizing the advantages of BCM’s high refresh rate and high resolution, the system can meet the requirement of monitor the bunch-by-bunch beam lifetime, measure touschek lifetime and vacuum lifetime. In this paper, experiments and and analysis will be described in detail.

Slides MOCO01 [18.156 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2019-MOCO01

About •

paper received ※ 03 September 2019 paper accepted ※ 08 September 2019 issue date ※ 10 November 2019

Export •

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

MOPP002

Current Per Bunch Distribution Measurement at ESRF

data-analysis, ECR, controls, injection

59

L. Torino, B. Roche, B. Vedder
ESRF, Grenoble, France

During the last run of the ESRF machine, several instrumentation improvements have been carried out in order to be exported on the new EBS storage ring. In particular, the top-up operation mode has been implemented and it demanded for an accurate, fast, and reliable measurement of the current per bunch distribution. In this proceeding, we describe the characteristics and the performance of the setup chosen to perform this measurement, which consists in a stripline, connected with a high dynamic range oscilloscope and a dedicated data analysis. We also comment on the integration of the measurement in the top-up routine to selectively refill less populated bunches.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2019-MOPP002

About •

paper received ※ 03 September 2019 paper accepted ※ 08 September 2019 issue date ※ 10 November 2019

Export •

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

TUPP004

High-Speed Beam Signal Processor for SHINE

cavity, timing, FPGA, interface

283

L.W. Lai, Y.B. Leng
SSRF, Shanghai, People’s Republic of China

A CW hard X-ray FEL is under construction in SSRF, which pulse rate is designed to 1MHz. A new high-speed sampling BPM signal processor is under development to meet the high performance requirements of beam position measurement system. The processor¿s sampling rate can be up to 500MHz, and beam position information of each bunch (1MHz rate) can be retrieved with the power of FPGA. Time stamp is aligned with the position data for offline analysis. The processor is designed to be a common signal processing platform for beam diagnostics. The first application is cavity BPM, and other applications, including button BPM, stripline BPM, and even wire scanner processor will be developed based on this platform. At the same time, a RF direct sampling processor is designed for cavity BPM signal processing. This novel technology will greatly simplify the cavity BPM electronic system, and make the system design more efficient and more flexible.

Poster TUPP004 [0.983 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2019-TUPP004

About •

paper received ※ 04 September 2019 paper accepted ※ 07 September 2019 issue date ※ 10 November 2019

Export •

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

WEPP021

Machine Learning Image Processing Technology Application in Bunch Longitudinal Phase Data Information Extraction

network, damping, injection, synchrotron

568

X.Y. Xu, Y.M. Zhou
SINAP, Shanghai, People’s Republic of China
Y.B. Leng, Y.M. Zhou
SSRF, Shanghai, People’s Republic of China
X.Y. Xu
University of Chinese Academy of Sciences, Beijing, People’s Republic of China

To achieve the bunch-by-bunch longitudinal phase measurement, Shanghai Synchrotron Radiation Facility (SSRF) has developed a high resolution measurement system. We used this measurement system to study the injection transient process, and obtained the longitudinal phase of the refilled bunch and the longitudinal phase of the original stored bunch. A large number of parameters of the synchronous damping oscillation are included in this large amount of longitudinal phase data, which are important for the evaluation of machine state and bunch stability. The multi-turn phase data of a multi-bunch is a large two-dimensional array that can be converted into an image. The convolutional neural network (CNN) is a machine learning model with strong capabilities in image processing. We hope to use the convolutional neural network to process the longitudinal phase two-dimensional array data, and extract important parameters such as the oscillation amplitude and the synchrotron damping time.

Poster WEPP021 [1.292 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2019-WEPP021

About •

paper received ※ 23 August 2019 paper accepted ※ 10 September 2019 issue date ※ 10 November 2019

Export •

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