IBIC2018 - List of Authors (Chen, J.)

Paper	Title	Page
WEPC15	Machine Learning Applied to Predict Transverse Oscillation at SSRF	512
	B. Gao, J. Chen, Y.B. Leng, Y.M. Zhou SINAP, Shanghai, People’s Republic of China
	A fast beam size diagnostic system has been developed at SSRF (Shanghai Synchrotron Radiation Facility) storage ring for turn-by-turn and bunch-by-bunch beam transverse oscillation study. This system is based on visible synchrotron radiation direct imaging system. Currently, this system already has good experimental results. However, this system still has some limitations, the resolution is subject to the point spread function and the speed of online data processing is limited by the complex algorithm. We present a technique that applied machine learning tools to predict transverse oscillation.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2018-WEPC15
About •	paper received ※ 05 September 2018 paper accepted ※ 13 September 2018 issue date ※ 29 January 2019
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MOPC11	Data Acquisition System for Beam Instrumentation of SXFEL and DCLS	137
	Y.B. Yan SINAP, Shanghai, People’s Republic of China J. Chen, L.W. Lai, Y.B. Leng, C.L. Yu, L.Y. Yu, H. Zhao, W.M. Zhou SSRF, Shanghai, People’s Republic of China
	The high-gain free electron lasers have given scientists hopes for new scientific discoveries in many frontier research areas. The Shanghai X-Ray Free-Electron Laser (SXFEL) test facility is commissioning at the SSRF campus. The Dalian Coherent Light Source (DCLS) has successfully commissioned in the northeast of China, which is the brightest vacuum ultraviolet free electron laser facility. The data acquisition system for beam instrumentation is based on EPICS platform. The field programmable gate array (FPGA) and embedded controller are adopted for the signal processing and device control. The high-level applications are developed using Python. The details of the data acquisition system will be reported in this paper.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2018-MOPC11
About •	paper received ※ 29 August 2018 paper accepted ※ 11 September 2018 issue date ※ 29 January 2019
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Machine Learning Applied to Predict Transverse Oscillation at SSRF

512

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

A fast beam size diagnostic system has been developed at SSRF (Shanghai Synchrotron Radiation Facility) storage ring for turn-by-turn and bunch-by-bunch beam transverse oscillation study. This system is based on visible synchrotron radiation direct imaging system. Currently, this system already has good experimental results. However, this system still has some limitations, the resolution is subject to the point spread function and the speed of online data processing is limited by the complex algorithm. We present a technique that applied machine learning tools to predict transverse oscillation.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2018-WEPC15

About •

paper received ※ 05 September 2018 paper accepted ※ 13 September 2018 issue date ※ 29 January 2019

Export •

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

MOPC11

Data Acquisition System for Beam Instrumentation of SXFEL and DCLS

137

Y.B. Yan
SINAP, Shanghai, People’s Republic of China
J. Chen, L.W. Lai, Y.B. Leng, C.L. Yu, L.Y. Yu, H. Zhao, W.M. Zhou
SSRF, Shanghai, People’s Republic of China

The high-gain free electron lasers have given scientists hopes for new scientific discoveries in many frontier research areas. The Shanghai X-Ray Free-Electron Laser (SXFEL) test facility is commissioning at the SSRF campus. The Dalian Coherent Light Source (DCLS) has successfully commissioned in the northeast of China, which is the brightest vacuum ultraviolet free electron laser facility. The data acquisition system for beam instrumentation is based on EPICS platform. The field programmable gate array (FPGA) and embedded controller are adopted for the signal processing and device control. The high-level applications are developed using Python. The details of the data acquisition system will be reported in this paper.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2018-MOPC11

About •

paper received ※ 29 August 2018 paper accepted ※ 11 September 2018 issue date ※ 29 January 2019

Export •

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