4.3 Article

Explosive X-point collapse in relativistic magnetically dominated plasma

期刊

JOURNAL OF PLASMA PHYSICS
卷 83, 期 6, 页码 -

出版社

CAMBRIDGE UNIV PRESS
DOI: 10.1017/S0022377817000629

关键词

magnetized plasmas; plasma nonlinear phenomena; space plasma physics

资金

  1. XSEDE [TG-AST120010]
  2. NASA [NNX12AF92G]
  3. NSF [AST-1306672]
  4. DoE [DE-SC0016369]
  5. ERC Synergy Grant 'BlackHoleCam - Imaging the Event Horizon of Black Holes' [610058]
  6. STFC [ST/N000676/1]
  7. STFC [ST/K000853/1] Funding Source: UKRI
  8. NASA [75610, NNX12AF92G] Funding Source: Federal RePORTER
  9. Direct For Mathematical & Physical Scien
  10. Division Of Astronomical Sciences [1306672] Funding Source: National Science Foundation

向作者/读者索取更多资源

The extreme properties of the gamma-ray flares in the Crab nebula present a clear challenge to our ideas on the nature of particle acceleration in relativistic astrophysical plasma. It seems highly unlikely that standard mechanisms of stochastic type are at work here and hence the attention of theorists has switched to linear acceleration in magnetic reconnection events. In this series of papers, we attempt to develop a theory of explosive magnetic reconnection in highly magnetized relativistic plasma which can explain the extreme parameters of the Crab flares. In the first paper, we focus on the properties of the X-point collapse. Using analytical and numerical methods (fluid and particle-in-cell simulations) we extend Syrovatsky's classical model of such collapse to the relativistic regime. We find that the collapse can lead to the reconnection rate approaching the speed of light on macroscopic scales. During the collapse, the plasma particles are accelerated by charge-starved electric fields, which can reach (and even exceed) values of the local magnetic field. The explosive stage of reconnection produces non-thermal power-law tails with slopes that depend on the average magnetization sigma. For sufficiently high magnetizations and vanishing guide field, the non-thermal particle spectrum consists of two components: a low-energy population with soft spectrum that dominates the number census; and a high-energy population with hard spectrum that possesses all the properties needed to explain the Crab flares.

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