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Electron stochastic acceleration in laboratory-produced kinetic turbulent plasmas.

Authors :
Yuan, Dawei
Lei, Zhu
Wei, Huigang
Zhang, Zhe
Zhong, Jiayong
Li, Yifei
Ping, Yongli
Zhang, Yihang
Li, Yutong
Wang, Feilu
Liang, Guiyun
Qiao, Bin
Fu, Changbo
Liu, Huiya
Zhang, Panzheng
Zhu, Jianqiang
Zhao, Gang
Zhang, Jie
Source :
Nature Communications; 7/13/2024, Vol. 15 Issue 1, p1-9, 9p
Publication Year :
2024

Abstract

The origin of energetic charged particles in universe remains an unresolved issue. Astronomical observations combined with simulations have provided insights into particle acceleration mechanisms, including magnetic reconnection acceleration, shock acceleration, and stochastic acceleration. Recent experiments have also confirmed that electrons can be accelerated through processes such as magnetic reconnection and collisionless shock formation. However, laboratory identifying stochastic acceleration as a feasible mechanism is still a challenge, particularly in the creation of collision-free turbulent plasmas. Here, we present experimental results demonstrating kinetic turbulence with a typical spectrum k<superscript>−2.9</superscript> originating from Weibel instability. Energetic electrons exhibiting a power-law distribution are clearly observed. Simulations further reveal that thermal electrons undergo stochastic acceleration through collisions with multiple magnetic islands-like structures within the turbulent region. This study sheds light on a critical transition period during supernova explosion, where kinetic turbulences originating from Weibel instability emerge prior to collisionless shock formation. Our results suggest that electrons undergo stochastic acceleration during this transition phase. The origin of energetic charged particles in universe remains an unresolved issue, while one of the promising mechanism contributions is stochastic acceleration. Here the authors demonstrate electron stochastic acceleration of kinetic turbulence in a lab setting. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
178415628
Full Text :
https://doi.org/10.1038/s41467-024-50085-7