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Generation of High-Power, Reversed-Cherenkov Wakefield Radiation in a Metamaterial Structure.
Lu, Xueying; Shapiro, Michael A; Mastovsky, Ivan; Temkin, Richard J; Conde, Manoel; Power, John G; Shao, Jiahang; Wisniewski, Eric E; Jing, Chunguang.
Afiliación
  • Lu X; Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
  • Shapiro MA; Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
  • Mastovsky I; Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
  • Temkin RJ; Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
  • Conde M; Argonne National Laboratory, Lemont, Illinois 60459, USA.
  • Power JG; Argonne National Laboratory, Lemont, Illinois 60459, USA.
  • Shao J; Argonne National Laboratory, Lemont, Illinois 60459, USA.
  • Wisniewski EE; Argonne National Laboratory, Lemont, Illinois 60459, USA.
  • Jing C; Euclid Techlabs LLC, Solon, Ohio 44139, USA.
Phys Rev Lett ; 122(1): 014801, 2019 Jan 11.
Article en En | MEDLINE | ID: mdl-31012710
ABSTRACT
We present the first demonstration of high-power, reversed-Cherenkov wakefield radiation by electron bunches passing through a metamaterial structure. The structure supports a fundamental transverse magnetic mode with a negative group velocity leading to reversed-Cherenkov radiation, which was clearly verified in the experiments. Single 45 nC electron bunches of 65 MeV traversing the structure generated up to 25 MW in 2 ns pulses at 11.4 GHz, in excellent agreement with theory. Two bunches of 85 nC with appropriate temporal spacing generated up to 80 MW by coherent wakefield superposition, the highest rf power that metamaterial structures ever experienced without damage. These results demonstrate the unique features of metamaterial structures that are very attractive for future high-gradient wakefield accelerators, including two-beam and collinear accelerators. Advantages include the high shunt impedance for high-power generation and high-gradient acceleration, the simple and rugged structure, and a large parameter space for optimization.

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Phys Rev Lett Año: 2019 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Phys Rev Lett Año: 2019 Tipo del documento: Article