MHD-PIC simulations find that the non-thermal particle spectral index alpha steepens as alpha proportional to beta to the power 0.5 in the relativistic regime, due to inertial mass density acting as an energy sink that reduces Alfven velocity.
The Astrophysical Journal , eprint =
4 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
years
2026 4verdicts
UNVERDICTED 4representative citing papers
Cosmic ray transport requires a propagator P(k,s) that encodes memory and non-diffusive behaviors rather than being reduced to a single diffusion coefficient.
Three-dimensional three-temperature simulations of colliding supersonic plasma flows from irradiated CH mesh targets produce a persistent shocked turbulent mixing layer that evolves toward an isothermal state with anisotropic Reynolds stress and effective Reynolds number around 200.
A neural network detector applied to 2011 solar radio spectra identified 50 QFP wave train candidates, with 13 associated with global coronal EUV waves.
citing papers explorer
-
The $\beta$-Dependence of Particle Spectra in Relativistic Turbulent Reconnection
MHD-PIC simulations find that the non-thermal particle spectral index alpha steepens as alpha proportional to beta to the power 0.5 in the relativistic regime, due to inertial mass density acting as an energy sink that reduces Alfven velocity.
-
Beyond the Diffusion Coefficient: Propagators and Memory in Cosmic Ray Transport
Cosmic ray transport requires a propagator P(k,s) that encodes memory and non-diffusive behaviors rather than being reduced to a single diffusion coefficient.
-
Numerical simulations of shock-driven, supersonic turbulence in colliding three-temperature laboratory plasmas
Three-dimensional three-temperature simulations of colliding supersonic plasma flows from irradiated CH mesh targets produce a persistent shocked turbulent mixing layer that evolves toward an isothermal state with anisotropic Reynolds stress and effective Reynolds number around 200.
-
Detector for fast wave trains in the solar radio emission
A neural network detector applied to 2011 solar radio spectra identified 50 QFP wave train candidates, with 13 associated with global coronal EUV waves.