Particle simulation of plasma electron trapping and acceleration in proton driven plasma wakefield using density transition

zhou dongfang; ma yanyun; tian chenglin; shao fuqiu; chen zhan; yin yan; zhuo hongbin; ouyang jianming

Volume 23 Issue 02

Sep. 2012

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Article Navigation > High Power Laser and Particle Beams > 2011 > 23(02): 0-

peng zhen-ming, jiang biao, xiao jun. Aerial extended target detection based on unit-linking pulse coupled neural networks[J]. High Power Laser and Particle Beams, 2007, 19.

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zhou dongfang, ma yanyun, tian chenglin, et al. Particle simulation of plasma electron trapping and acceleration in proton driven plasma wakefield using density transition[J]. High Power Laser and Particle Beams, 2011, 23.

peng zhen-ming, jiang biao, xiao jun. Aerial extended target detection based on unit-linking pulse coupled neural networks[J]. High Power Laser and Particle Beams, 2007, 19.

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Particle simulation of plasma electron trapping and acceleration in proton driven plasma wakefield using density transition

1.
College of Science,National University of Defense Technology,Changsha 410073,China;
2.
Technique Department,China Satellite Maritime Tracking and Controlling Department,Jiangyin 214431,China;
3.
Research Center of Laser Fusion,CAEP,Mianyang 621900,China;
4.
College of Computer,National University of Defense Technology,Changsha 410073,China

Publish Date: 2011-01-25

Abstract

Abstract

Numerical simulations are conducted on the scheme of energetic proton-bunch driven plasma wakefield acceleration and the possibility of the selfinjection scenario in proton-bunch driven plasma wakefield acceleration by using a density transition of plasma with the help of 2D3V PIC code. The simulations show that enhanced selfinjection of electrons in the scenario is realized successfully. It is found that the number of trapped particles increases as the amplitude of density transition increases．
- proton beam,
- pic simulation,
- plasma wakefield acceleration,
- density transition,
- electron trapping

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