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Radiation reaction induced non-monotonic features in runaway electron distributions

Published online by Cambridge University Press:  13 July 2015

E. Hirvijoki*
Affiliation:
Department of Applied Physics, Chalmers University of Technology, 41296 Gothenburg, Sweden
I. Pusztai
Affiliation:
Department of Applied Physics, Chalmers University of Technology, 41296 Gothenburg, Sweden
J. Decker
Affiliation:
Ecole Polytechnique Fédérale de Lausanne (EPFL), Centre de Recherches en Physique des Plasmas (CRPP), CH-1015 Lausanne, Switzerland
O. Embréus
Affiliation:
Department of Applied Physics, Chalmers University of Technology, 41296 Gothenburg, Sweden
A. Stahl
Affiliation:
Department of Applied Physics, Chalmers University of Technology, 41296 Gothenburg, Sweden
T. Fülöp
Affiliation:
Department of Applied Physics, Chalmers University of Technology, 41296 Gothenburg, Sweden
*
Email address for correspondence: eero.hirvijoki@chalmers.se
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Abstract

Runaway electrons, which are generated in a plasma where the induced electric field exceeds a certain critical value, can reach very high energies in the MeV range. For such energetic electrons, radiative losses will contribute significantly to the momentum space dynamics. Under certain conditions, due to radiative momentum losses, a non-monotonic feature – a ‘bump’ – can form in the runaway electron tail, creating a potential for bump-on-tail-type instabilities to arise. Here, we study the conditions for the existence of the bump. We derive an analytical threshold condition for bump appearance and give an approximate expression for the minimum energy at which the bump can appear. Numerical calculations are performed to support the analytical derivations.

Information

Type
Research Article
Copyright
© Cambridge University Press 2015 
Figure 0

Figure 1. Typical examples of non-monotonic runaway electron distribution functions. (a) The pitch angle average of the distribution function with (solid curve) and without (dashed) synchrotron radiation reaction. A Maxwellian distribution is also indicated (dash-dotted). (b) Contour plot of the distribution function corresponding to the solid curve in (a), as a function of $s_{\Vert }$ and $s_{\bot }$.

Figure 1

Figure 2. Parameter scan of CODE simulations yielding steady-state solutions with (coloured circles) or without (black crosses) a bump in the runaway tail. Good correlation is found with the analytical threshold condition given in (3.22) for ${\it\kappa}=1$ (solid line). The dashed line represents the ‘practical threshold’ in (3.29) for $s_{\Vert ,L}=27$ and ${\it\kappa}=0.3$. The colour coding shows the location of the bump relative to $s_{\Vert }=34$.

Figure 2

Figure 3. Parallel momentum of the bump. Circles denote the locations of the bumps according to numerical solutions, while the solid line represents a theoretical lower limit, (3.28). In the simulations, all bumps appear above the analytical threshold condition.