LINAC2018 - List of Authors (Liu, W.L.)

Paper	Title	Page
THPO022	Development Progress of the H⁺/H⁻ Linear Accelerators at Tsinghua University	732
THOP06	use link to see paper's listing under its alternate paper code
	Q.Z. Xing, C.B. Bi, C. Cheng, C.T. Du, T.B. Du, X. Guan, Q.K. Guo, Y. Lei, P.F. Ma, S. Shuai, R. Tang, X.W. Wang, X.D. Xudong, H.Y. Zhang, S.X. Zheng TUB, Beijing, People’s Republic of China W.Q. Guan, Y. He, J. Li NUCTECH, Beijing, People’s Republic of China W.L. Liu, B.C. Wang, Z.M. Wang, Y. Yang, C. Zhao NINT, Shannxi, People’s Republic of China
	We present, in this paper, the development progress of the 13MeV proton linac for the Compact Pulsed Hadron Source (CPHS), and the 7MeV H⁻ linac injector for the synchrotron of the Xi’an 200MeV Proton Application Facility (XiPAF).
	Slides THPO022 [4.421 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-LINAC2018-THPO022
About •	paper received ※ 12 September 2018 paper accepted ※ 20 September 2018 issue date ※ 18 January 2019
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPO042	An Optimization Method of the Nose-cone Buncher Cavity	778
	W.L. Liu, P.T. Cong, Z.M. Wang NINT, Shannxi, People’s Republic of China H. Jiang, S.X. Zheng TUB, Beijing, People’s Republic of China
	The nose-cone buncher cavity is widely used on proton accelerators. It’s important to properly optimize the cavity geometry for fine RF performance. Howev-er, currently the optimization is usually carried out manually and the criteria are not objective enough. In this paper, an optimization method using the multi-objective, multi-variable optimization approach is presented. The geometry and RF parameters are con-sidered as the variables and objectives respectively. The goal function is defined as the weighted sum of multiple RF parameters. The multi-variable functions are approximately derived from the single-variable functions based on electromagnetic simulation. And an optimization code is developed accordingly which has been applied to the XiPAF debuncher optimization.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-LINAC2018-THPO042
About •	paper received ※ 12 September 2018 paper accepted ※ 20 September 2018 issue date ※ 18 January 2019
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

THPO022

Development Progress of the H⁺/H⁻ Linear Accelerators at Tsinghua University

732

THOP06

use link to see paper's listing under its alternate paper code

Q.Z. Xing, C.B. Bi, C. Cheng, C.T. Du, T.B. Du, X. Guan, Q.K. Guo, Y. Lei, P.F. Ma, S. Shuai, R. Tang, X.W. Wang, X.D. Xudong, H.Y. Zhang, S.X. Zheng
TUB, Beijing, People’s Republic of China
W.Q. Guan, Y. He, J. Li
NUCTECH, Beijing, People’s Republic of China
W.L. Liu, B.C. Wang, Z.M. Wang, Y. Yang, C. Zhao
NINT, Shannxi, People’s Republic of China

We present, in this paper, the development progress of the 13MeV proton linac for the Compact Pulsed Hadron Source (CPHS), and the 7MeV H⁻ linac injector for the synchrotron of the Xi’an 200MeV Proton Application Facility (XiPAF).

Slides THPO022 [4.421 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-LINAC2018-THPO022

About •

paper received ※ 12 September 2018 paper accepted ※ 20 September 2018 issue date ※ 18 January 2019

Export •

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

THPO042

An Optimization Method of the Nose-cone Buncher Cavity

778

W.L. Liu, P.T. Cong, Z.M. Wang
NINT, Shannxi, People’s Republic of China
H. Jiang, S.X. Zheng
TUB, Beijing, People’s Republic of China

The nose-cone buncher cavity is widely used on proton accelerators. It’s important to properly optimize the cavity geometry for fine RF performance. Howev-er, currently the optimization is usually carried out manually and the criteria are not objective enough. In this paper, an optimization method using the multi-objective, multi-variable optimization approach is presented. The geometry and RF parameters are con-sidered as the variables and objectives respectively. The goal function is defined as the weighted sum of multiple RF parameters. The multi-variable functions are approximately derived from the single-variable functions based on electromagnetic simulation. And an optimization code is developed accordingly which has been applied to the XiPAF debuncher optimization.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-LINAC2018-THPO042

About •

paper received ※ 12 September 2018 paper accepted ※ 20 September 2018 issue date ※ 18 January 2019

Export •

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